From 5c3e0947b636fed9b1e61a0f7a14938517399e9c Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 08:53:49 +0100
Subject: [PATCH 001/105] update unit commitment parameters and fix startup
 cost (#2073)

---
 data/unit_commitment.csv   | 15 ++++++++-------
 doc/data-repos.rst         | 12 ++++--------
 doc/release_notes.rst      |  2 ++
 scripts/add_electricity.py |  3 +++
 4 files changed, 17 insertions(+), 15 deletions(-)

diff --git a/data/unit_commitment.csv b/data/unit_commitment.csv
index e93b1a903c..804bc3598c 100644
--- a/data/unit_commitment.csv
+++ b/data/unit_commitment.csv
@@ -1,8 +1,9 @@
 attribute,OCGT,CCGT,coal,lignite,nuclear
-ramp_limit_up,1,1,1,1,0.3
-ramp_limit_start_up,0.2,0.45,0.38,0.4,0.5
-ramp_limit_shut_down,0.2,0.45,0.38,0.4,0.5
-p_min_pu,0.2,0.45,0.325,0.4,0.5
-min_up_time,,3,5,7,6
-min_down_time,,2,6,6,10
-start_up_cost,9.6,34.2,35.64,19.14,16.5
+ramp_limit_up,1,1,0.9,0.6,0.3
+ramp_limit_down,1,1,0.9,0.6,0.3
+ramp_limit_start_up,0.8,0.5,0.4,0.4,0.2
+ramp_limit_shut_down,0.8,0.5,0.4,0.4,0.2
+p_min_pu,0.2,0.45,0.38,0.5,0.5
+min_up_time,0,4,8,8,10
+min_down_time,0,2,8,8,10
+start_up_cost,24,60,49,49,250
diff --git a/doc/data-repos.rst b/doc/data-repos.rst
index 1c75ef82ca..c7060cd1e2 100644
--- a/doc/data-repos.rst
+++ b/doc/data-repos.rst
@@ -186,15 +186,11 @@ New data should generally not be added to the data, but externally retrieved in
 ``data/unit_commitment.csv``
 
 - **Source:** `DIW
-  <https://www.diw.de/documents/publikationen/73/diw_01.c.424566.de/diw_datadoc_2013-068.pdf>`__,
-  `Agora Energiewende
-  <https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf>`__,
-  `Schill et al. (2017)
-  <https://static-content.springer.com/esm/art%3A10.1038%2Fnenergy.2017.50/MediaObjects/41560_2017_BFnenergy201750_MOESM196_ESM.pdf>`__,
-  `Martin (2022) <https://zenodo.org/records/6421682>`__
-- **Link:** https://github.com/lisazeyen/hourly_vs_annually/blob/b67ca9222711372d8ab6cd58f9ebe7bc637939bf/scripts/solve_network.py#L554
+  <https://www.diw.de/documents/publikationen/73/diw_01.c.524200.de/dp1540.pdf>`__,
+  `IRENA <https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Flexibility_in_CPPs_2019.pdf?la=en&hash=AF60106EA083E492638D8FA9ADF7FD099259F5A1>__`,
+  `Agora Energiewende <https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf>`__.
 - **License:** CC-BY 4.0
-- **Description:** Contains energy balances for Europe.
+- **Description:** Contains unit commitment parameters for thermal power plants.
 
 ``data/biomass_transport_costs_supply_chain{1,2}.csv``
 
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 954ba14d80..abc16662de 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,6 +8,8 @@ Release Notes
 
 Upcoming Release
 ================
+* Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
+
 
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 0df64d148f..8cd24ce638 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -616,6 +616,9 @@ def attach_conventional_generators(
             committable_attrs[attr] = ppl.carrier.map(unit_commitment.loc[attr]).fillna(
                 default
             )
+            # These values are given per MW, but PyPSA expects them in total.
+            if attr in {"start_up_cost", "shut_down_cost", "stand_by_cost"}:
+                committable_attrs[attr] *= ppl.p_nom
     else:
         committable_attrs = {}
 

From 050d5a5fc087964c4e480086789237c7cb889346 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 08:54:11 +0100
Subject: [PATCH 002/105] add name to unclustered power plants (#2069)

---
 scripts/add_electricity.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 8cd24ce638..4c5469d28f 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -354,14 +354,17 @@ def load_and_aggregate_powerplants(
     aggregated.index = aggregated.bus + " " + aggregated.carrier
     aggregated.build_year = aggregated.build_year.astype(int)
 
-    disaggregated = ppl[~to_aggregate][aggregated.columns].copy()
+    disaggregated = ppl[~to_aggregate].copy()
     disaggregated.index = (
         disaggregated.bus
         + " "
         + disaggregated.carrier
         + " "
         + disaggregated.index.astype(str)
+        + " "
+        + disaggregated.name
     )
+    disaggregated = disaggregated[aggregated.columns]
 
     return pd.concat([aggregated, disaggregated])
 

From 9d6340c3156720db1d05a75fa91b6762d308b09f Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 10:26:05 +0100
Subject: [PATCH 003/105] rolling horizon: drop cyclicity and allow in
 solve_network (#2070)

---
 doc/release_notes.rst    |  2 ++
 scripts/solve_network.py | 11 ++++++++++-
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index abc16662de..0ed2b659d5 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -11,6 +11,8 @@ Upcoming Release
 * Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
 
 
+* Bugfix: Rolling horizon optimisation also in :mod:`solve_network`, not only in :mod:`solve_operations_network`. Drop cyclicity constraints with setting ``rolling_horizon: true``.
+
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
 * Adjust ``powerplants_filter`` to include power plants operational in 2025.
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 251cd1f600..0fa8e90fc9 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -427,6 +427,7 @@ def prepare_network(
     planning_horizons: str | None,
     co2_sequestration_potential: dict[str, float],
     limit_max_growth: dict[str, Any] | None = None,
+    rolling_horizon: bool = False,
 ) -> None:
     """
     Prepare network with various constraints and modifications.
@@ -528,6 +529,13 @@ def prepare_network(
             n, limit_dict=limit_dict, planning_horizons=planning_horizons
         )
 
+    # rolling horizon disables cyclic storage
+    if rolling_horizon:
+        n.storage_units.state_of_charge_cyclic = False
+        n.storage_units.state_of_charge_initial = 0
+        n.stores.e_cyclic = False
+        n.stores.e_initial = 0
+
 
 def add_CCL_constraints(
     n: pypsa.Network, config: dict, planning_horizons: str | None
@@ -1443,6 +1451,7 @@ def create_optimization_model(
         planning_horizons=planning_horizons,
         co2_sequestration_potential=snakemake.params["co2_sequestration_potential"],
         limit_max_growth=snakemake.params.get("sector", {}).get("limit_max_growth"),
+        rolling_horizon=cf_solving["rolling_horizon"],
     )
 
     # Determine solve mode
@@ -1461,7 +1470,7 @@ def create_optimization_model(
     with memory_logger(
         filename=getattr(snakemake.log, "memory", None), interval=logging_frequency
     ) as mem:
-        if rolling_horizon and snakemake.rule == "solve_operations_network":
+        if rolling_horizon:
             logger.info("Using rolling horizon optimization...")
             all_kwargs, _ = collect_kwargs(
                 snakemake.config,

From 72d1df06168193834090331981fe870998f4eab1 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 10:39:46 +0100
Subject: [PATCH 004/105] add option to add existing batteries from
 powerplantmatching (#2071)

---
 config/config.default.yaml                   |  1 +
 config/schema.default.json                   | 10 +++++
 doc/release_notes.rst                        |  2 +
 scripts/add_electricity.py                   | 42 +++++++++++++++++++-
 scripts/lib/validation/config/electricity.py |  4 ++
 5 files changed, 58 insertions(+), 1 deletion(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 9e8e27d8d8..5c3e57a9ff 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -178,6 +178,7 @@ electricity:
       Offshore: "offwind-ac"
       Onshore: onwind
       PV: solar
+  estimate_battery_capacities: false
   autarky:
     enable: false
     by_country: false
diff --git a/config/schema.default.json b/config/schema.default.json
index 078a459c2b..06890c1ab1 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -2250,6 +2250,11 @@
             }
           }
         },
+        "estimate_battery_capacities": {
+          "default": false,
+          "description": "Enable estimation of existing battery storage capacities.",
+          "type": "boolean"
+        },
         "autarky": {
           "description": "Configuration for `electricity.autarky` settings.",
           "properties": {
@@ -8500,6 +8505,11 @@
             }
           }
         },
+        "estimate_battery_capacities": {
+          "default": false,
+          "description": "Enable estimation of existing battery storage capacities.",
+          "type": "boolean"
+        },
         "autarky": {
           "description": "Configuration for `electricity.autarky` settings.",
           "properties": {
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 0ed2b659d5..9b0b4f50cb 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -15,6 +15,8 @@ Upcoming Release
 
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
+* Existing battery storage capacities from the powerplantmatching dataset can now be added to the network as ``StorageUnit`` components, using plant-level duration data with fallback to ``electricity: max_hours: battery`` and cost-table round-trip efficiency.
+
 * Adjust ``powerplants_filter`` to include power plants operational in 2025.
 
 * Rewrite mapping of power plant sites to model regions / buses. Previously, power plants were mapped to the nearest bus in the same country.
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 4c5469d28f..4d4d84f970 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -605,7 +605,7 @@ def attach_conventional_generators(
         | set(extendable_carriers["Generator"]) - set(renewable_carriers)
     )
 
-    ppl = ppl.query("carrier in @carriers")
+    ppl = ppl.query("carrier in @carriers").copy()
 
     # reduce carriers to those in power plant dataset
     carriers = list(set(carriers) & set(ppl.carrier.unique()))
@@ -679,6 +679,43 @@ def attach_conventional_generators(
                 n.generators.loc[idx, attr] = values
 
 
+def attach_existing_batteries(
+    n: pypsa.Network,
+    costs: pd.DataFrame,
+    ppl: pd.DataFrame,
+) -> None:
+    """Attach existing battery storage units from the power plant dataset."""
+    batt = ppl.query('carrier == "battery"')
+    if batt.empty:
+        return
+
+    add_missing_carriers(n, ["battery"])
+    efficiency = np.sqrt(costs.at["battery inverter", "efficiency"])
+    batt["max_hours"] = batt.max_hours.fillna(batt.max_hours.median())
+
+    n.add(
+        "StorageUnit",
+        batt.index,
+        carrier="battery",
+        bus=batt.bus,
+        p_nom=batt.p_nom,
+        capital_cost=batt.capital_cost,
+        max_hours=batt.max_hours,
+        efficiency_store=efficiency,
+        efficiency_dispatch=efficiency,
+        cyclic_state_of_charge=True,
+    )
+
+    stats = (
+        batt.groupby("country")
+        .p_nom.sum()
+        .div(1e3)
+        .round(3)
+        .sort_values(ascending=False)
+    )
+    logger.info(f"Added {len(batt)} existing battery storage units\n({stats} MW)")
+
+
 def attach_hydro(
     n: pypsa.Network,
     costs: pd.DataFrame,
@@ -1259,6 +1296,9 @@ def attach_stores(
     )
     attach_stores(n, costs, n.buses.index, extendable_carriers["Store"])
 
+    if params.electricity.get("estimate_battery_capacities", False):
+        attach_existing_batteries(n, costs, ppl)
+
     sanitize_carriers(n, snakemake.config)
     if "location" in n.buses:
         sanitize_locations(n)
diff --git a/scripts/lib/validation/config/electricity.py b/scripts/lib/validation/config/electricity.py
index 5fc3a595fe..d343cb06cd 100644
--- a/scripts/lib/validation/config/electricity.py
+++ b/scripts/lib/validation/config/electricity.py
@@ -249,6 +249,10 @@ class ElectricityConfig(BaseModel):
         default_factory=_EstimateRenewableCapacitiesConfig,
         description="Configuration for estimating renewable capacities.",
     )
+    estimate_battery_capacities: bool = Field(
+        False,
+        description="Enable estimation of existing battery storage capacities.",
+    )
     autarky: _AutarkyConfig = Field(
         default_factory=_AutarkyConfig,
         description="Autarky configuration.",

From d8e29093bbf1dba03747e311d5fee39466eb917b Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 10:51:28 +0100
Subject: [PATCH 005/105] handle co2stop id column across versions (#2077)

---
 doc/release_notes.rst                         |  2 ++
 scripts/build_co2_sequestration_potentials.py | 12 +++++++++---
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 9b0b4f50cb..1a1bf61ff1 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -13,6 +13,8 @@ Upcoming Release
 
 * Bugfix: Rolling horizon optimisation also in :mod:`solve_network`, not only in :mod:`solve_operations_network`. Drop cyclicity constraints with setting ``rolling_horizon: true``.
 
+* Bugfix: Handle CO2Stop ID columns correctly across versions.
+
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
 * Existing battery storage capacities from the powerplantmatching dataset can now be added to the network as ``StorageUnit`` components, using plant-level duration data with fallback to ``electricity: max_hours: battery`` and cost-table round-trip efficiency.
diff --git a/scripts/build_co2_sequestration_potentials.py b/scripts/build_co2_sequestration_potentials.py
index 238839b3e8..62987c400a 100644
--- a/scripts/build_co2_sequestration_potentials.py
+++ b/scripts/build_co2_sequestration_potentials.py
@@ -82,7 +82,10 @@ def create_capacity_map_storage(table_fn: str, map_fn: str) -> gpd.GeoDataFrame:
     df = pd.read_csv(table_fn)
 
     sel = ["COUNTRYCOD", "ID", "geometry"]
-    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})[sel]
+    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})
+    if gdf.ID.isna().all() and "ID2" in gdf.columns:
+        gdf["ID"] = gdf["ID2"]
+    gdf = gdf[sel]
     gdf.geometry = gdf.geometry.buffer(0)
 
     # Combine shapes with the same id into one multi-polygon
@@ -155,7 +158,10 @@ def create_capacity_map_traps(table_fn: list[str], map_fn: str) -> gpd.GeoDataFr
     df = pd.concat([pd.read_csv(path) for path in table_fn], ignore_index=True)
 
     sel = ["COUNTRYCOD", "ID", "geometry"]
-    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})[sel]
+    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})
+    if gdf.ID.isna().all() and "ID2" in gdf.columns:
+        gdf["ID"] = gdf["ID2"]
+    gdf = gdf[sel]
 
     # Combine shapes with the same id into one multi-polygon
     gdf = gdf.groupby(["COUNTRYCOD", "ID"]).agg(unary_union).reset_index()
@@ -298,7 +304,7 @@ def merge_maps(
     if "snakemake" not in globals():
         from scripts._helpers import mock_snakemake
 
-        snakemake = mock_snakemake("build_co2_storage")
+        snakemake = mock_snakemake("build_co2_sequestration_potentials")
 
     table_fn = snakemake.input.storage_table
     map_fn = snakemake.input.storage_map

From 0bf228eb60bc163c8141c77fe89a09e766626ef2 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 11:44:49 +0100
Subject: [PATCH 006/105] fix missing or outdated configuration options (#2074)

* fix missing or outdated configuration options

* pixi run generate-config
---
 config/config.default.yaml                  |  2 +-
 config/schema.default.json                  | 36 +++++++++------------
 scripts/lib/validation/config/clustering.py |  4 ---
 scripts/lib/validation/config/solving.py    |  4 +++
 4 files changed, 20 insertions(+), 26 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 5c3e57a9ff..cdec450f07 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1105,7 +1105,6 @@ clustering:
     aggregate_to_tyndp: false
   simplify_network:
     to_substations: false
-    exclude_carriers: []
     remove_stubs: true
     remove_stubs_across_borders: false
   cluster_network:
@@ -1153,6 +1152,7 @@ solving:
     transmission_losses: 2
     linearized_unit_commitment: true
     horizon: 365
+    overlap: 0
     post_discretization:
       enable: false
       line_unit_size: 1700
diff --git a/config/schema.default.json b/config/schema.default.json
index 06890c1ab1..db3f19c7d9 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -536,13 +536,6 @@
               "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
               "type": "boolean"
             },
-            "exclude_carriers": {
-              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-              "items": {
-                "type": "string"
-              },
-              "type": "array"
-            },
             "remove_stubs": {
               "default": true,
               "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -5220,6 +5213,11 @@
               "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
               "type": "integer"
             },
+            "overlap": {
+              "default": 0,
+              "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+              "type": "integer"
+            },
             "post_discretization": {
               "description": "Configuration for `solving.options.post_discretization` settings.",
               "properties": {
@@ -7394,13 +7392,6 @@
           "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
           "type": "boolean"
         },
-        "exclude_carriers": {
-          "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-          "items": {
-            "type": "string"
-          },
-          "type": "array"
-        },
         "remove_stubs": {
           "default": true,
           "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -7720,6 +7711,11 @@
           "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
           "type": "integer"
         },
+        "overlap": {
+          "default": 0,
+          "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+          "type": "integer"
+        },
         "post_discretization": {
           "description": "Configuration for `solving.options.post_discretization` settings.",
           "properties": {
@@ -11729,13 +11725,6 @@
               "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
               "type": "boolean"
             },
-            "exclude_carriers": {
-              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-              "items": {
-                "type": "string"
-              },
-              "type": "array"
-            },
             "remove_stubs": {
               "default": true,
               "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -12089,6 +12078,11 @@
               "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
               "type": "integer"
             },
+            "overlap": {
+              "default": 0,
+              "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+              "type": "integer"
+            },
             "post_discretization": {
               "description": "Configuration for `solving.options.post_discretization` settings.",
               "properties": {
diff --git a/scripts/lib/validation/config/clustering.py b/scripts/lib/validation/config/clustering.py
index b367a46793..923802e7ec 100644
--- a/scripts/lib/validation/config/clustering.py
+++ b/scripts/lib/validation/config/clustering.py
@@ -48,10 +48,6 @@ class _SimplifyNetworkConfig(BaseModel):
         False,
         description="Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
     )
-    exclude_carriers: list[str] = Field(
-        default_factory=list,
-        description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-    )
     remove_stubs: bool = Field(
         True,
         description="Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index 81c6d4bfa0..442cb253e0 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -113,6 +113,10 @@ class _SolvingOptionsConfig(BaseModel):
         365,
         description="Number of snapshots to consider in each iteration. Defaults to 100.",
     )
+    overlap: int = Field(
+        0,
+        description="Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+    )
     post_discretization: _PostDiscretizationConfig = Field(
         default_factory=_PostDiscretizationConfig,
         description="Post-discretization settings.",

From 5c80319f58cd50d75f69d07371b9eb8ec921f0bc Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 11:51:11 +0100
Subject: [PATCH 007/105] allow custom efficiency_classes for conventional
 generators (#2075)

* allow custom efficiency_classes for conventional generators

* pixi run generate-config
---
 config/schema.default.json                  | 28 ++++++++++++++++++---
 doc/release_notes.rst                       |  1 +
 scripts/add_electricity.py                  | 25 ++++++++++++------
 scripts/lib/validation/config/clustering.py |  4 +--
 4 files changed, 44 insertions(+), 14 deletions(-)

diff --git a/config/schema.default.json b/config/schema.default.json
index db3f19c7d9..f80f65f6ed 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -577,9 +577,19 @@
           "type": "array"
         },
         "consider_efficiency_classes": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            }
+          ],
           "default": false,
-          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
-          "type": "boolean"
+          "description": "Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]."
         },
         "aggregation_strategies": {
           "description": "Configuration for `clustering.aggregation_strategies` settings.",
@@ -11766,9 +11776,19 @@
           "type": "array"
         },
         "consider_efficiency_classes": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            }
+          ],
           "default": false,
-          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
-          "type": "boolean"
+          "description": "Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]."
         },
         "aggregation_strategies": {
           "description": "Configuration for `clustering.aggregation_strategies` settings.",
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 1a1bf61ff1..d7e3d68bc8 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -17,6 +17,7 @@ Upcoming Release
 
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
+* The ``clustering: consider_efficiency_classes`` option now accepts a list of quantile boundaries (e.g. ``[0.1, 0.5, 0.9]``) in addition to a boolean. Labels are derived from quantile percentages (e.g. ``Q0``, ``Q10``, ``Q90``). The default behaviour (``true``) is unchanged, using ``[0.1, 0.9]`` quantiles.
 * Existing battery storage capacities from the powerplantmatching dataset can now be added to the network as ``StorageUnit`` components, using plant-level duration data with fallback to ``electricity: max_hours: battery`` and cost-table round-trip efficiency.
 
 * Adjust ``powerplants_filter`` to include power plants operational in 2025.
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 4d4d84f970..28a467e4d6 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -267,7 +267,7 @@ def add_co2_emissions(n, costs, carriers):
 def load_and_aggregate_powerplants(
     ppl_fn: str,
     costs: pd.DataFrame,
-    consider_efficiency_classes: bool = False,
+    consider_efficiency_classes: bool | list[float] = False,
     aggregation_strategies: dict = None,
     exclude_carriers: list = None,
 ) -> pd.DataFrame:
@@ -331,15 +331,21 @@ def load_and_aggregate_powerplants(
     df = ppl[to_aggregate].copy()
 
     if consider_efficiency_classes:
+        quantiles = (
+            [0.1, 0.9]
+            if consider_efficiency_classes is True
+            else consider_efficiency_classes
+        )
         for c in df.carrier.unique():
             df_c = df.query("carrier == @c")
-            low = df_c.efficiency.quantile(0.10)
-            high = df_c.efficiency.quantile(0.90)
-            if low < high:
-                labels = ["low", "medium", "high"]
-                suffix = pd.cut(
-                    df_c.efficiency, bins=[0, low, high, 1], labels=labels
-                ).astype(str)
+            thresholds = df_c.efficiency.quantile(quantiles).tolist()
+            if thresholds[0] < thresholds[-1]:
+                unique_thresholds, indices = np.unique(thresholds, return_index=True)
+                labels = ["Q0"] + [
+                    f"Q{int(quantiles[i] * 100)}" for i in sorted(indices)
+                ]
+                bins = [0.0] + unique_thresholds.tolist() + [1.0]
+                suffix = pd.cut(df_c.efficiency, bins=bins, labels=labels).astype(str)
                 df.update({"carrier": df_c.carrier + " " + suffix + " efficiency"})
 
     grouper = ["bus", "carrier"]
@@ -353,6 +359,9 @@ def load_and_aggregate_powerplants(
     aggregated = df.groupby(grouper, as_index=False).agg(strategies)
     aggregated.index = aggregated.bus + " " + aggregated.carrier
     aggregated.build_year = aggregated.build_year.astype(int)
+    aggregated.carrier = aggregated.carrier.str.replace(
+        r" Q\d+ efficiency", "", regex=True
+    )
 
     disaggregated = ppl[~to_aggregate].copy()
     disaggregated.index = (
diff --git a/scripts/lib/validation/config/clustering.py b/scripts/lib/validation/config/clustering.py
index 923802e7ec..ccc412631e 100644
--- a/scripts/lib/validation/config/clustering.py
+++ b/scripts/lib/validation/config/clustering.py
@@ -138,9 +138,9 @@ class ClusteringConfig(BaseModel):
         default_factory=list,
         description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
     )
-    consider_efficiency_classes: bool = Field(
+    consider_efficiency_classes: bool | list[float] = Field(
         False,
-        description="Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
+        description="Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9].",
     )
     aggregation_strategies: _AggregationStrategiesConfig = Field(
         default_factory=_AggregationStrategiesConfig,

From a465b6bc701645957bde3f249c5644ebe6d7d554 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20R=C3=BCdt?=
 <117752024+daniel-rdt@users.noreply.github.com>
Date: Wed, 18 Feb 2026 12:51:40 +0100
Subject: [PATCH 008/105] chore: pin grpcio<1.78 to silence warnings (#2080)

* chore: pin grpcio<1.78 to silence warnings

* doc: add release note

* Update envs/environment.yaml

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 doc/release_notes.rst          |    4 +-
 envs/default_linux-64.pin.txt  |   90 +-
 envs/default_osx-64.pin.txt    |  232 +-
 envs/default_osx-arm64.pin.txt |   86 +-
 envs/default_win-64.pin.txt    |   74 +-
 envs/environment.yaml          |    1 +
 pixi.lock                      | 4342 ++++++++++++++------------------
 pixi.toml                      |    1 +
 8 files changed, 2079 insertions(+), 2751 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index d7e3d68bc8..eabc6b84ce 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,8 +8,10 @@ Release Notes
 
 Upcoming Release
 ================
-* Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
 
+* Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/PyPSA/pypsa-eur/pull/2080).
+
+* Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
 
 * Bugfix: Rolling horizon optimisation also in :mod:`solve_network`, not only in :mod:`solve_operations_network`. Drop cyclicity constraints with setting ``rolling_horizon: true``.
 
diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 2b61090135..528abd621c 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -2,9 +2,9 @@
 # platform: linux-64
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
-https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_17.conda#51b78c6a757575c0d12f4401ffc67029
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda#a9f577daf3de00bca7c3c76c0ecbd1de
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_17.conda#3c281169ea25b987311400d7a7e28445
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda#0aa00f03f9e39fb9876085dee11a85d4
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
@@ -13,21 +13,21 @@ https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#9430
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda#bddacf101bb4dd0e51811cb69c7790e2
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.1-h35e630c_1.conda#f61eb8cd60ff9057122a3d338b99c00f
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_17.conda#24c2fe35fa45cd71214beba6f337c071
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
 https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda#186a18e3ba246eccfc7cff00cd19a870
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.2-hf4e2dac_0.conda#da5be73701eecd0e8454423fd6ffcf30
 https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda#c7c83eecbb72d88b940c249af56c8b17
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.3-hecca717_0.conda#8b09ae86839581147ef2e5c5e229d164
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda#e7f7ce06ec24cfcfb9e36d28cf82ba57
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda#12bd9a3f089ee6c9266a37dab82afabd
-https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda#51a19bba1b8ebfb60df25cde030b7ebc
+https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
 https://conda.anaconda.org/conda-forge/linux-64/python-3.13.12-hc97d973_100_cp313.conda#4c875ed0e78c2d407ec55eadffb8cf3d
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
-https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_17.conda#202fdf8cad9eea704c2b0d823d1732bf
-https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_17.conda#a6c682ac611cb1fa4d73478f9e6efb06
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda#646855f357199a12f02a87382d429b75
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda#9063115da5bc35fdc3e1002e69b9ef6e
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_4.conda#be43915efc66345cccb3c310b6ed0374
 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openblas.conda#c160954f7418d7b6e87eaf05a8913fa9
 https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda#b38076eb5c8e40d0106beda6f95d7609
@@ -77,7 +77,7 @@ https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda#4
 https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.3.1-pyhd8ed1ab_0.conda#d4f3f31ee39db3efecb96c0728d4bdbf
 https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.4.0-pyhd8ed1ab_0.conda#a55b220de8970208f583e38639cfbecc
 https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.0-pyhdfd78af_0.tar.bz2#269943ac6637718947763b4f989710fc
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.9.1-pyhcf101f3_0.conda#9402ece5651f956de34cf0dc20dfc3a5
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.9.2-pyhcf101f3_0.conda#4fefefb892ce9cc1539405bec2f1a6cd
 https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_2.conda#03fe290994c5e4ec17293cfb6bdce520
 https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda#b8993c19b0c32a2f7b66cbb58ca27069
 https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda#8e662bd460bda79b1ea39194e3c4c9ab
@@ -140,11 +140,11 @@ https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h0aef613_1.conda#9344155d33912347b37f0ae6c410a835
 https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.1-h9d88235_1.conda#cd5a90476766d53e901500df9215e927
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hcf80075_0.conda#eecce068c7e4eddeb169591baac20ac4
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_17.conda#1478bfa85224a65ab096d69ffd2af1e5
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda#d5e96b1ed75ca01906b3d2469b4ce493
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda#920bb03579f15389b9e512095ad995b7
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda#b499ce4b026493a13774bcf0f4c33849
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_17.conda#ea12f5a6bf12c88c06750d9803e1a570
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_18.conda#6235adb93d064ecdf3d44faee6f468de
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda#c277e0a4d549b03ac1e9d6cbbe3d017b
 https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda#b38117a3c920364aff79f870c984b4a3
 https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda#3f43953b7d3fb3aaa1d0d0723d91e368
@@ -179,14 +179,14 @@ https://conda.anaconda.org/conda-forge/linux-64/json-c-0.18-h6688a6e_0.conda#38f
 https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda#3bf7b9fd5a7136126e0234db4b87c8b6
 https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.2-h03e3b7b_1.conda#98b6c9dc80eb87b2519b97bcf7e578dd
 https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
-https://conda.anaconda.org/conda-forge/linux-64/libgdal-core-3.12.2-hc2c0581_0.conda#367b1cd271b8aa39170f68826a94d65b
+https://conda.anaconda.org/conda-forge/linux-64/libgdal-core-3.12.2-hc2c0581_1.conda#c8ca404aeab8e32c9d6d82a82aeb6511
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
 https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_2.conda#55c7804f428719241a90b152016085a1
 https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda#e9b05deb91c013e5224672a4ba9cf8d1
 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c4061f499edec6b8ac7000f6d586829
 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda#d551bd1d2fcfac36674dbe2be4b0a410
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.2-py313h77f6078_2.conda#42d11c7d1ac21ae2085f58353641e71c
-https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.21.0-pyhd8ed1ab_0.conda#c3f213bb454f78097db811ee2e87bee3
+https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.21.0-pyhcf101f3_1.conda#a0811eb1142b4da29162d1931922a1ec
 https://conda.anaconda.org/conda-forge/noarch/pyxlsb-1.0.10-pyhd8ed1ab_0.tar.bz2#0c14e44bc93a99cdc11398311c3c0dcf
 https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda#083725d6cd3dc007f06d04bcf1e613a2
 https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.12.1-default_hafda6a7_1003.conda#4fe840c6d6b3719b4231ed89d389bb17
@@ -199,7 +199,7 @@ https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.2-hb03c661_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.2-ha02ee65_0.conda#a159fe1e8200dd67fa88ddea9169d25a
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-devel-5.8.2-hb03c661_0.conda#de60549ba9d8921dff3afa4b179e2a4b
 https://conda.anaconda.org/conda-forge/linux-64/xz-5.8.2-ha02ee65_0.conda#d34b831f6d6a9b014eb7cf65f6329bba
-https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-15.2.0-h69a702a_17.conda#d7954bb54fc77e7952a78e5e0d134df5
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-15.2.0-h69a702a_18.conda#26d7b228de99d6fb032ba4d5c1679040
 https://conda.anaconda.org/conda-forge/linux-64/libscotch-7.0.4-h2fe6a88_5.conda#dd1e1c54432494476d66c679014c675c
 https://conda.anaconda.org/conda-forge/linux-64/mumps-seq-5.7.3-h27a6a8b_0.conda#d524b41c7757ea147337039fa4158fbb
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@@ -256,18 +256,18 @@ https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.12-h4df99d1_100.co
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 3a74438947..2aff7b45eb 100644
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 9053f0f1af..29728f2719 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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 https://conda.anaconda.org/conda-forge/noarch/pydeflate-2.3.4-pyhcf101f3_1.conda#02e7ccf24972a1637c0de86e08a169b3
 https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda#003b8ba0a94e2f1e117d0bd46aebc901
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.1-pyhd8ed1ab_0.conda#6b0259cea8ffa6b66b35bae0ca01c447
+https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.37.0-pyhcf101f3_1.conda#c4c4f99faba7174b3d99b79baf60697d
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda#eb52d14a901e23c39e9e7b4a1a5c015f
 https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.1.0-py313hf069bd2_0.conda#bfa075d1cd7bf341b8189af9616ce537
 https://conda.anaconda.org/conda-forge/noarch/identify-2.6.16-pyhd8ed1ab_0.conda#8bc5851c415865334882157127e75799
@@ -411,7 +411,7 @@ https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhcf101f3_
 https://conda.anaconda.org/conda-forge/win-64/tornado-6.5.4-py313h5ea7bf4_0.conda#1402782887fafaa117a8d76d2cfa4761
 https://conda.anaconda.org/conda-forge/win-64/libvulkan-loader-1.4.341.0-h477610d_0.conda#804880b2674119b84277d6c16b01677d
 https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_3.conda#2cf0cf76cc15d360dfa2f17fd6cf9772
-https://conda.anaconda.org/conda-forge/win-64/libglib-2.86.3-h0c9aed9_1.conda#72e868a2bc363563f7a4bda95113c717
+https://conda.anaconda.org/conda-forge/win-64/libglib-2.86.4-h0c9aed9_0.conda#275eb125dd1490f287e85ffd544b6403
 https://conda.anaconda.org/conda-forge/win-64/libclang13-21.1.8-default_ha2db4b5_3.conda#06e385238457018ad1071179b67e39d1
 https://conda.anaconda.org/conda-forge/win-64/graphite2-1.3.14-hac47afa_2.conda#b785694dd3ec77a011ccf0c24725382b
 https://conda.anaconda.org/conda-forge/win-64/pixman-0.46.4-h5112557_1.conda#08c8fa3b419df480d985e304f7884d35
@@ -421,7 +421,7 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed3
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2#0c96522c6bdaed4b1566d11387caaf45
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-hc364b38_1.conda#a7970cd949a077b7cb9696379d338681
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
-https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.15.0-h765892d_1.conda#9bb0026a2131b09404c59c4290c697cd
+https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.17.1-hd47e2ca_0.conda#a0b1b87e871011ca3b783bbf410bc39f
 https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.4-h477c42c_1.conda#52ea1beba35b69852d210242dd20f97d
 https://conda.anaconda.org/conda-forge/win-64/harfbuzz-12.3.2-h5a1b470_0.conda#fb5d7b9527b418f83e3316f3e6daa8a2
 https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.4.0-hac47afa_0.conda#3d3caf4ccc6415023640af4b1b33060a
@@ -430,9 +430,9 @@ https://conda.anaconda.org/conda-forge/win-64/libxslt-1.1.43-h0fbe4c1_1.conda#46
 https://conda.anaconda.org/conda-forge/win-64/pyside6-6.10.2-py313h475ba69_0.conda#462d1b8de81aaf6971e8466c48ed7164
 https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.10.8-py313hfa70ccb_0.conda#b77085d92d9de0c4a8bcc88011985292
 https://conda.anaconda.org/conda-forge/win-64/lxml-6.0.2-py313h1af1686_2.conda#966738dbc1fd7c75d34bea7c8574c974
-https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf5-3.12.2-h5260803_0.conda#88fd7eace37aa15eaeb35384d904ada3
-https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf4-3.12.2-h5bd48a5_0.conda#82bda7058e7e7e60775ae226c95a2cb6
-https://conda.anaconda.org/conda-forge/win-64/libgdal-netcdf-3.12.2-h1c765f5_0.conda#39e029673e18fe7ffa0d125c5967d1d9
+https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf5-3.12.2-h5260803_1.conda#150230ce593ad139e1ab1437954b81e2
+https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf4-3.12.2-h5bd48a5_1.conda#861e471b9d7df1eed52ea9a25f227951
+https://conda.anaconda.org/conda-forge/win-64/libgdal-netcdf-3.12.2-h1c765f5_1.conda#300ec561b23a4018262b90995350061a
 https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.9.0-pyhd8ed1ab_0.conda#2f1ed718fcd829c184a6d4f0f2e07409
 https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2#1cee351bf20b830d991dbe0bc8cd7dfe
 https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.15-py313h5813708_1.conda#8f01ed27e2baa455e753301218e054fd
@@ -533,9 +533,9 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
 https://conda.anaconda.org/conda-forge/win-64/h5py-3.15.1-nompi_py313hf7f959b_101.conda#29bcfb479b3030e2c190f53058b9a345
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.49-pyhd8ed1ab_0.conda#e7b5f9fcc58c84fad67b57a2136833d1
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda#25cffdcbebbe85f62a0ba31b1bae5911
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.49-pyhd8ed1ab_0.conda#27a66e9994a8cfedd176e8e49b1f4908
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda#65465c189c38fc262c009faa98825cea
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.3.0-pyhd8ed1ab_0.conda#9e18b048c69d2d72bc69d120a435d731
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c138c7aaa6a10b5762dcd92247864aff
diff --git a/envs/environment.yaml b/envs/environment.yaml
index 23b9345eea..113dac3767 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -70,4 +70,5 @@ dependencies:
 - natsort >=8.4.0
 - snakemake-logger-plugin-pypsa >=0.1.0
 - pydeflate >=2.3.4
+- grpcio <1.78 # Hot fix for https://github.com/PyPSA/linopy/issues/587
 - snakemake-executor-plugin-slurm >=1.9.2
diff --git a/pixi.lock b/pixi.lock
index 3c0d0798bd..fcc7439628 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -61,14 +63,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.49-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.49-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.23.0-hc31b594_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda
@@ -142,7 +144,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.17.1-h27c8c51_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-hc364b38_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.61.1-py313h3dea7bd_0.conda
@@ -165,7 +167,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.46-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.86.3-hf516916_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.86.4-hf516916_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glpk-5.0-h445213a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
@@ -178,8 +180,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.72.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.78.0-py313h36609a2_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/grpcio-status-1.78.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/grpcio-status-1.73.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.43-h993cebd_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
       - conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.1-py313_0.conda
@@ -191,7 +193,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h19486de_106.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hdx-python-country-4.1.1-pyh332efcf_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/hdx-python-utilities-4.0.5-pyh332efcf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/hdx-python-utilities-4.0.6-pyh332efcf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hicolor-icon-theme-0.17-ha770c72_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/highspy-1.13.1-np2py313h73dcb5b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
@@ -253,14 +255,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h0aef613_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/levenshtein-0.27.3-py313h7033f15_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20260107.1-cxx17_h7b12aa8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20250512.1-cxx17_hba17884_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.5-h088129d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.8.5-gpl_hc2c16d8_100.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-23.0.0-h2603568_3_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-23.0.0-h635bf11_3_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-compute-23.0.0-h53684a4_3_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-23.0.0-h635bf11_3_cpu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-23.0.0-hb4dd7c2_3_cpu.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-23.0.0-h258748b_2_cuda.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-23.0.0-h635bf11_2_cuda.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-compute-23.0.0-h8c2c5c3_2_cuda.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-23.0.0-h635bf11_2_cuda.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-23.0.0-h3f74fd7_2_cuda.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.2.0-hb03c661_1.conda
@@ -278,31 +280,31 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.3-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.1-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.1-h73754d4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_17.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_17.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-h5fbf134_12.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-core-3.12.2-hc2c0581_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-hdf4-3.12.2-hf70aa56_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-hdf5-3.12.2-hcaab353_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-netcdf-3.12.2-h03ef1cf_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_17.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-15.2.0-h69a702a_17.conda
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+  license_family: MIT
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   timestamp: 1770878956164
 - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
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   - python
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+  license_family: MIT
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+  - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: APACHE
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-  - mumps-seq >=5.8.1,<5.8.2.0a0
+  - mumps-seq >=5.8.2,<5.8.3.0a0
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-  - python_abi 3.13.* *_cp313
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+  - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: APACHE
-  size: 412466
-  timestamp: 1757354242668
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   - python
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+  license_family: BSD
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   timestamp: 1770937604863
 - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.17.0-pyhcf101f3_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.9-py313ha1c5e85_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/levenshtein-0.27.3-py313hc4a83b5_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20260107.1-cxx17_h7b12aa8_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20260107.1-cxx17_h7ed6875_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20260107.1-cxx17_h2062a1b_0.conda
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-  - libabseil-static =20260107.1=cxx17*
+  - libabseil-static =20250512.1=cxx17*
+  - abseil-cpp =20250512.1
   license: Apache-2.0
   license_family: Apache
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-23.0.0-h2603568_3_cpu.conda
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-  md5: 4952208743759431df21f01aba7466dd
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-23.0.0-h258748b_2_cuda.conda
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   - libabseil * cxx17*
-  - libabseil >=20260107.0,<20260108.0a0
+  - libabseil >=20250512.1,<20250513.0a0
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@@ -15831,12 +15606,12 @@ packages:
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-  - apache-arrow-proc =*=cpu
+  - apache-arrow-proc =*=cuda
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   license: Apache-2.0
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-  size: 6482745
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/libarrow-23.0.0-hfe7be37_3_cpu.conda
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-  md5: c81a4bbca3f36c676a175d9df300aa3f
+- conda: https://conda.anaconda.org/conda-forge/osx-64/libarrow-23.0.0-h72f758e_2_cpu.conda
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   - libabseil * cxx17*
-  - libabseil >=20260107.0,<20260108.0a0
+  - libabseil >=20250512.1,<20250513.0a0
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   - libopentelemetry-cpp >=1.21.0,<1.22.0a0
-  - libprotobuf >=6.33.5,<6.33.6.0a0
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   constrains:
-  - apache-arrow-proc =*=cpu
   - arrow-cpp <0.0a0
   - parquet-cpp <0.0a0
+  - apache-arrow-proc =*=cpu
   license: Apache-2.0
   license_family: APACHE
-  size: 4356494
-  timestamp: 1770642033769
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-21.0.0-hd43feaf_8_cpu.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-23.0.0-hb53654a_3_cpu.conda
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-  md5: 8bb8c24a72615e0b73dcf94c1b0932d0
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-23.0.0-h585ae05_2_cpu.conda
+  build_number: 2
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   - glog >=0.7.1,<0.8.0a0
   - libabseil * cxx17*
-  - libabseil >=20260107.0,<20260108.0a0
+  - libabseil >=20250512.1,<20250513.0a0
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   - libopentelemetry-cpp >=1.21.0,<1.22.0a0
-  - libprotobuf >=6.33.5,<6.33.6.0a0
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   - snappy >=1.2.2,<1.3.0a0
   - zstd >=1.5.7,<1.6.0a0
   constrains:
+  - apache-arrow-proc =*=cpu
+  - arrow-cpp <0.0a0
   - parquet-cpp <0.0a0
+  license: Apache-2.0
+  license_family: APACHE
+  size: 4265020
+  timestamp: 1770431176545
+- conda: https://conda.anaconda.org/conda-forge/win-64/libarrow-23.0.0-hfcfc620_2_cpu.conda
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+  - azure-core-cpp >=1.16.2,<1.16.3.0a0
+  - azure-identity-cpp >=1.13.3,<1.13.4.0a0
+  - azure-storage-blobs-cpp >=12.16.0,<12.16.1.0a0
+  - azure-storage-files-datalake-cpp >=12.14.0,<12.14.1.0a0
+  - bzip2 >=1.0.8,<2.0a0
+  - libabseil * cxx17*
+  - libabseil >=20250512.1,<20250513.0a0
+  - libbrotlidec >=1.2.0,<1.3.0a0
+  - libbrotlienc >=1.2.0,<1.3.0a0
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+  - libgoogle-cloud >=2.39.0,<2.40.0a0
+  - libgoogle-cloud-storage >=2.39.0,<2.40.0a0
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - zstd >=1.5.7,<1.6.0a0
+  constrains:
   - arrow-cpp <0.0a0
   - apache-arrow-proc =*=cpu
+  - parquet-cpp <0.0a0
   license: Apache-2.0
   license_family: APACHE
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-  timestamp: 1770639251597
-- conda: https://conda.anaconda.org/conda-forge/win-64/libarrow-23.0.0-hde9e798_3_cpu.conda
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-  md5: cb0cf269e2710de646dfd390549bd5d4
+  size: 4291175
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+  md5: d13ca464803c4c4b3e4d4f9834b3e75a
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   - bzip2 >=1.0.8,<2.0a0
   - libabseil * cxx17*
-  - libabseil >=20260107.0,<20260108.0a0
+  - libabseil >=20260107.1,<20260108.0a0
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   - libbrotlienc >=1.2.0,<1.3.0a0
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   license: Apache-2.0
   license_family: APACHE
-  size: 4306652
-  timestamp: 1770643728314
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-  md5: c2415c2264b6b5e4ef45019ce6aa9579
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+  - libarrow 23.0.0 h258748b_2_cuda
+  - libarrow-compute 23.0.0 h8c2c5c3_2_cuda
   - libgcc >=14
   - libstdcxx >=14
   license: Apache-2.0
   license_family: APACHE
-  size: 612674
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-  md5: 4282a53fc4215d2389ead4017a812fb8
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-  - libarrow-compute 23.0.0 h3b2c5b4_3_cpu
+  - libabseil >=20250512.1,<20250513.0a0
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+  - libarrow-compute 23.0.0 hc26cc94_2_cpu
   - libcxx >=21
   - libopentelemetry-cpp >=1.21.0,<1.22.0a0
-  - libprotobuf >=6.33.5,<6.33.6.0a0
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-  - libarrow-compute 23.0.0 h4dbefc3_3_cpu
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+  - libarrow-compute 23.0.0 h45df96a_2_cpu
   - libcxx >=21
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-  - libprotobuf >=6.33.5,<6.33.6.0a0
+  - libprotobuf >=6.31.1,<6.31.2.0a0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-23.0.0-h7d8d6a5_3_cpu.conda
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   license: Apache-2.0
   license_family: APACHE
-  size: 467773
-  timestamp: 1770644021816
+  size: 468526
+  timestamp: 1770435951152
+- conda: https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-23.0.1-h7d8d6a5_0_cpu.conda
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+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
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   - libgcc >=14
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+  - libre2-11 >=2025.8.12
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   - re2
   license: Apache-2.0
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+  - libabseil >=20250512.1,<20250513.0a0
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   - libcxx >=21
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-  - libprotobuf >=6.33.5,<6.33.6.0a0
-  - libre2-11 >=2025.11.5
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   - re2
   license: Apache-2.0
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+  - libabseil >=20250512.1,<20250513.0a0
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+  - re2
+  - ucrt >=10.0.20348.0
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+  license: Apache-2.0
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+- conda: https://conda.anaconda.org/conda-forge/win-64/libarrow-compute-23.0.1-h081cd8e_0_cpu.conda
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-  - python_abi 3.13.* *_cp313
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+  - python_abi 3.12.* *_cp312
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+  - python >=3.12,<3.13.0a0
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+  - python_abi 3.12.* *_cp312
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   license: CECILL-C
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@@ -23059,6 +22607,7 @@ packages:
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+  license_family: MIT
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-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: MIT
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-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
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+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
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+  - apache-arrow-proc * cuda
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+  - numpy >=1.21,<3
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruamel.yaml.clib-0.2.15-py313h16366db_1.conda
-  sha256: 0bcb752de3e034b43529fc41aec9bca95cf1d1b9ae741b9db7bccd980ef603ac
-  md5: 846c1dd713142a49a08e917a92343f51
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ruamel.yaml.clib-0.2.15-py312hf7082af_1.conda
+  sha256: ccb99c8888c647e6baf102a610fad5beae7e2f0709c6aa0f756fcb525c290a5b
+  md5: 1febc2f58c009405f5111fba9b97ba69
   depends:
   - python
   - __osx >=10.13
-  - python_abi 3.13.* *_cp313
+  - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
-  size: 136396
-  timestamp: 1766159518290
+  size: 136284
+  timestamp: 1766159530760
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruamel.yaml.clib-0.2.15-py313h6688731_1.conda
   sha256: d2050d1d9fb396bd8fb42758bcc6e5bf301c94856086be5411dfe21a0bb2da22
   md5: ccc49acbc9df82571383070bc4591c45
@@ -28914,6 +28305,7 @@ packages:
   constrains:
   - __glibc >=2.17
   license: MIT
+  license_family: MIT
   size: 9153240
   timestamp: 1770954626651
 - conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.1-h5930b28_0.conda
@@ -28926,6 +28318,7 @@ packages:
   constrains:
   - __osx >=10.13
   license: MIT
+  license_family: MIT
   size: 9130878
   timestamp: 1770954707231
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.1-h279115b_0.conda
@@ -28938,6 +28331,7 @@ packages:
   constrains:
   - __osx >=11.0
   license: MIT
+  license_family: MIT
   size: 8357018
   timestamp: 1770954744394
 - conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.1-h213852a_0.conda
@@ -28950,6 +28344,7 @@ packages:
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
   license: MIT
+  license_family: MIT
   size: 9632652
   timestamp: 1770954647574
 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
@@ -29040,24 +28435,24 @@ packages:
   license_family: BSD
   size: 9042087
   timestamp: 1757407115271
-- conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.8.0-np2py313he2891f2_1.conda
-  sha256: 02374f108b175d6af04461ee82423527f6606a1ac5537b31374066ee9ca3d6c6
-  md5: f650ee53b81fcb9ab2d9433f071c6682
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.8.0-np2py312h47bbdc5_1.conda
+  sha256: 1a03f549462e9c700c93664c663c08a651f6c93c0979384417ac132549c44b98
+  md5: 9c037f2050f55c721704013b87c9724e
   depends:
   - python
   - numpy >=1.24.1
   - scipy >=1.10.0
   - joblib >=1.3.0
   - threadpoolctl >=3.2.0
-  - libcxx >=19
-  - llvm-openmp >=19.1.7
   - __osx >=10.13
-  - python_abi 3.13.* *_cp313
+  - llvm-openmp >=19.1.7
+  - libcxx >=19
+  - python_abi 3.12.* *_cp312
   - numpy >=1.23,<3
   license: BSD-3-Clause
   license_family: BSD
-  size: 9466389
-  timestamp: 1766550959465
+  size: 9288972
+  timestamp: 1766550860454
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.7.2-py312h79e0ffc_0.conda
   sha256: e46279d674d580dfeeb1c10dede94df65dbb25d951e35978893058e59e496bfa
   md5: c3b31a2189b2a54272ab6831fe16106d
@@ -29263,26 +28658,6 @@ packages:
   license_family: BSD
   size: 15064644
   timestamp: 1768800945420
-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda
-  sha256: c30ec7d0e2571f6f2ddaddf3eb64e0e2e16e58c0a4f724f2ee2b894e0ce1a8e4
-  md5: 076afc646e5b800ab4adece0310795db
-  depends:
-  - __osx >=10.13
-  - libblas >=3.9.0,<4.0a0
-  - libcblas >=3.9.0,<4.0a0
-  - libcxx >=19
-  - libgfortran
-  - libgfortran5 >=14.3.0
-  - liblapack >=3.9.0,<4.0a0
-  - numpy <2.7
-  - numpy >=1.23,<3
-  - numpy >=1.25.2
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 15299524
-  timestamp: 1768800867425
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
   sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
   md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
@@ -29408,6 +28783,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22519
   timestamp: 1770937603551
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh6dadd2b_1.conda
@@ -29419,6 +28795,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 22864
   timestamp: 1770937641143
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyha191276_1.conda
@@ -29429,6 +28806,7 @@ packages:
   - python >=3.10
   - python
   license: BSD-3-Clause
+  license_family: BSD
   size: 24108
   timestamp: 1770937597662
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.0-pyh332efcf_0.conda
@@ -29504,19 +28882,19 @@ packages:
   license_family: BSD
   size: 541745
   timestamp: 1741167264444
-- conda: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.1.2-py313h210a477_2.conda
-  sha256: 811dbfec32a8b267de2bfd31579361d668adf725f10a21f5163563e500093c1d
-  md5: 1aa318a8d24b42383ceb2ac8f5ea7d5a
+- conda: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.1.2-py312hd8edc82_2.conda
+  sha256: 0ad376aee3a2fe149443af9345aadeb8ad82a95953bee74b59ca17997da03012
+  md5: eae9cbc6418de8f26e08f4fb255759e9
   depends:
   - __osx >=10.13
   - geos >=3.14.1,<3.14.2.0a0
   - numpy >=1.23,<3
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 620427
-  timestamp: 1762524026835
+  size: 603294
+  timestamp: 1762523892524
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/shapely-2.0.7-py312hf733f26_1.conda
   sha256: dc09fedd0ae7857571c1daf7ee1322f5535d486e4f939a4ce2ac4741ad85736d
   md5: 5033b6bb0358d8a756ec2fbf7739ed36
@@ -30169,23 +29547,6 @@ packages:
   license_family: BSD
   size: 11516375
   timestamp: 1764983568072
-- conda: https://conda.anaconda.org/conda-forge/osx-64/statsmodels-0.14.6-py313h0f4b8c3_0.conda
-  sha256: 742814f77d9f36e370c05a8173f05fbaf342f9b684b409d41b37db6232991d9e
-  md5: c4a63959628293c523d6c4276049e1e9
-  depends:
-  - __osx >=10.13
-  - numpy <3,>=1.22.3
-  - numpy >=1.23,<3
-  - packaging >=21.3
-  - pandas !=2.1.0,>=1.4
-  - patsy >=0.5.6
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  - scipy !=1.9.2,>=1.8
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 11721252
-  timestamp: 1764983752241
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/statsmodels-0.14.6-py312ha11c99a_0.conda
   sha256: 18f8711f235e32d793938e1738057e7be1d0bfe98f7d27e3e4b98aa757deae92
   md5: 31f49265d8de9776cd15b421f24b23e0
@@ -30613,17 +29974,6 @@ packages:
   license_family: Apache
   size: 854453
   timestamp: 1765836802876
-- conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.5.4-py313h16c19ce_0.conda
-  sha256: 94d25f6ad0a21dd788f4e1dddec24696edb36e651939a4c241444ee1340ac006
-  md5: d8976bd40232eea804fa55c429774c0d
-  depends:
-  - __osx >=11.0
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  license: Apache-2.0
-  license_family: Apache
-  size: 878614
-  timestamp: 1765836723769
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.5.4-py312h4409184_0.conda
   sha256: 114bfa1b859a64c589c428fce0ff8e358d8f0aaa7b98d353b94a95c7bceae640
   md5: fde4548a1e99c14eea9752f270ab68aa
@@ -30771,6 +30121,7 @@ packages:
   - shellingham >=1.3.0
   - python
   license: MIT
+  license_family: MIT
   size: 119515
   timestamp: 1770989162958
 - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
@@ -30851,18 +30202,18 @@ packages:
   license_family: BSD
   size: 59579
   timestamp: 1756674035664
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ujson-5.11.0-py313h03db916_1.conda
-  sha256: d228a276f8907b3e069b242f90a1e0d660fd003331a3516b1e46927afae939c8
-  md5: 9e01b71fd0f9308e5a079076659528c6
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ujson-5.11.0-py312h2ac44ba_1.conda
+  sha256: af0c6a5002d053bc297a33fd5f9a100f5f474fdd4716048ca38a89121884eac7
+  md5: 20b573a672a3ea3d481f9095f1bb4484
   depends:
   - python
   - libcxx >=19
   - __osx >=10.13
-  - python_abi 3.13.* *_cp313
+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 68519
-  timestamp: 1756674089835
+  size: 68397
+  timestamp: 1756674106944
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ujson-5.11.0-py313hab38a8b_1.conda
   sha256: a3a81b9150aa500246dc1022b0c62b6fd0c15575b0c594dab55cfc9b198ce67a
   md5: 20402be2af0775ceca6f9178cf9c3428
@@ -30906,19 +30257,19 @@ packages:
   license_family: MIT
   size: 14910
   timestamp: 1769438729201
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.1.0-py313h252b9d7_0.conda
-  sha256: 201d026c60bbbdd7c9bf9b3c61f807711ba24a9899a1b7f8a978b507d44d7efa
-  md5: e6ab56e180655e23353afea13caebc44
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.1.0-py312h0aa9c5c_0.conda
+  sha256: 833c7b0947be7ee67e561066e94ea284cdb235d57648e4538b2cf2062e8d919b
+  md5: a7692ba7ead6f7e3c910339851776c92
   depends:
   - __osx >=10.13
   - cffi
   - libcxx >=19
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
-  size: 14202
-  timestamp: 1769439075795
+  size: 14209
+  timestamp: 1769438958547
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.1.0-py313h5c29297_0.conda
   sha256: d28d0242d3fa23784630c775d5b628ce25e2d45f5d3f1cfcdc3815bc954073fa
   md5: 43b1eb729bd1cd9ea595548eb8100b65
@@ -31135,19 +30486,20 @@ packages:
   license_family: Proprietary
   size: 115235
   timestamp: 1767320173250
-- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.1-pyhd8ed1ab_0.conda
-  sha256: fa0a21fdcd0a8e6cf64cc8cd349ed6ceb373f09854fd3c4365f0bc4586dccf9a
-  md5: 6b0259cea8ffa6b66b35bae0ca01c447
+- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.37.0-pyhcf101f3_1.conda
+  sha256: 4ce2e967925a30f65d5f63f811766ca53a6024b65f37e396ffd24d6d4d4d29cb
+  md5: c4c4f99faba7174b3d99b79baf60697d
   depends:
+  - python >=3.10
   - distlib >=0.3.7,<1
-  - filelock >=3.20.1,<4
+  - filelock >=3.24.2,<4
   - platformdirs >=3.9.1,<5
-  - python >=3.10
   - typing_extensions >=4.13.2
+  - python
   license: MIT
   license_family: MIT
-  size: 4404318
-  timestamp: 1768069793682
+  size: 4655565
+  timestamp: 1771315126700
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
   sha256: 63ff4ec6e5833f768d402f5e95e03497ce211ded5b6f492e660e2bfc726ad24d
   md5: f276d1de4553e8fca1dfb6988551ebb4
@@ -31277,17 +30629,17 @@ packages:
   license_family: BSD
   size: 64865
   timestamp: 1756851811052
-- conda: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py313h585f44e_1.conda
-  sha256: dd8f1b31d78220dae5fd046d53d4c4b90251661086b44aef074e7775398719fc
-  md5: 765dc9b39fc2d62e1351c3a26e316607
+- conda: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py312h2f459f6_1.conda
+  sha256: df1430736e2b8ecfb559b7240478517c71d85697dee753628ef9ead84c3d1e52
+  md5: a92e23c22f481e7c8bc5d2dc551c101d
   depends:
   - __osx >=10.13
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: BSD-2-Clause
   license_family: BSD
-  size: 61239
-  timestamp: 1756851742749
+  size: 60710
+  timestamp: 1756851817591
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/wrapt-1.17.3-py313hcdf3177_1.conda
   sha256: 5919f7142db9344116760b797e4a5d28ca3961f927a2ba1c4a61d3f0f3282dd2
   md5: cd6b5084444b0b4ed22dde20355d4c4b
@@ -32061,20 +31413,6 @@ packages:
   license_family: Apache
   size: 143615
   timestamp: 1761337116037
-- conda: https://conda.anaconda.org/conda-forge/osx-64/yarl-1.22.0-py313h0f4d31d_0.conda
-  sha256: f7f635d59f5cfa53a64032c29f10c9f637467c6e02b4b0407301de469c77b06b
-  md5: 06dd2b86a96a57edc0f592f909b268ae
-  depends:
-  - __osx >=10.13
-  - idna >=2.0
-  - multidict >=4.0
-  - propcache >=0.2.1
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  license: Apache-2.0
-  license_family: Apache
-  size: 145217
-  timestamp: 1761337423989
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yarl-1.22.0-py312h5748b74_0.conda
   sha256: 49ee6fcb59e63cceb1f01777ac8b67d44633b6cdad5c47b02bc995f6e96955eb
   md5: 0a28337559bbd97ff6d99598c7a3ffb4
@@ -32367,20 +31705,6 @@ packages:
   license_family: BSD
   size: 462661
   timestamp: 1762512711429
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py313hcb05632_1.conda
-  sha256: eed36460cfd4afdcb5e3dbca1f493dd9251e90ad793680064efdeb72d95f16a0
-  md5: da657125cfc67fe18e4499cf88dbe512
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - python_abi 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 468984
-  timestamp: 1762512716065
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_1.conda
   sha256: af843b0fe62d128a70f91dc954b2cb692f349a237b461788bd25dd928d0d1ef8
   md5: 9300889791d4decceea3728ad3b423ec
diff --git a/pixi.toml b/pixi.toml
index 174d519d6a..47596d7a2a 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -102,6 +102,7 @@ pandera = ">=0.28.1"
 natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
 pydeflate = ">=2.3.4"
+grpcio = "<1.78"
 
 [target.unix.dependencies]
 snakemake-executor-plugin-slurm = ">=1.9.2"

From 3247e2a56a7ddfeae4180715feb7349ed5bdabe6 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 13:27:10 +0100
Subject: [PATCH 009/105] annual nuclear energy availability factors (#2072)

---
 data/nuclear_p_max_pu.csv  | 35 ++++++++++++++++++-----------------
 doc/release_notes.rst      |  1 +
 scripts/add_electricity.py | 10 ++++++++--
 3 files changed, 27 insertions(+), 19 deletions(-)

diff --git a/data/nuclear_p_max_pu.csv b/data/nuclear_p_max_pu.csv
index 5a8d1d131e..663bab3e75 100644
--- a/data/nuclear_p_max_pu.csv
+++ b/data/nuclear_p_max_pu.csv
@@ -1,17 +1,18 @@
-country,factor
-BE,0.883
-BG,0.876
-CZ,0.839
-FI,0.924
-FR,0.616
-DE,0.926
-HU,0.891
-NL,0.901
-RO,0.906
-SK,0.908
-SI,0.884
-ES,0.883
-SE,0.817
-CH,0.834
-GB,0.684
-UA,0.701
+country,2009,2010,2011,2012,2013,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024
+BE,0.873,0.875,0.887,0.741,0.781,0.544,0.796,0.775,0.522,0.796,0.626,0.920,0.840,0.888,0.864
+BG,0.867,0.843,0.900,0.885,0.867,0.865,0.883,0.868,0.886,0.894,0.890,0.885,0.877,0.867,0.848
+CZ,0.796,0.816,0.818,0.860,0.864,0.736,0.656,0.775,0.818,0.827,0.819,0.844,0.844,0.828,0.806
+FI,0.952,0.919,0.928,0.910,0.935,0.923,0.918,0.887,0.901,0.936,0.911,0.924,0.912,0.932,0.835
+FR,0.729,0.764,0.793,0.760,0.760,0.785,0.715,0.704,0.730,0.710,0.647,0.688,0.536,0.622,0.715
+DE,0.736,0.767,0.820,0.905,0.886,0.897,0.863,0.784,0.881,0.871,0.880,0.944,0.940,0.714,
+HU,0.876,0.886,0.889,0.890,0.865,0.891,0.905,0.909,0.886,0.913,0.899,0.895,0.885,0.894,0.899
+NL,0.951,0.889,0.921,0.869,0.637,0.905,0.878,0.756,0.783,0.868,0.917,0.864,0.941,0.898,0.796
+RO,0.948,0.935,0.946,0.926,0.935,0.938,0.910,0.928,0.919,0.909,0.922,0.913,0.897,0.909,0.880
+SK,0.867,0.870,0.906,0.904,0.920,0.897,0.870,0.890,0.875,0.900,0.897,0.899,0.906,0.920,0.862
+SI,0.908,0.893,0.986,0.865,0.830,0.885,0.892,0.985,0.906,0.913,0.993,0.896,0.878,0.878,0.906
+ES,0.775,0.901,0.832,0.887,0.845,0.876,0.898,0.890,0.855,0.897,0.906,0.873,0.900,0.877,0.872
+SE,0.634,0.682,0.713,0.745,0.766,0.649,0.712,0.810,0.869,0.851,0.724,0.846,0.827,0.779,0.812
+CH,0.922,0.886,0.895,0.848,0.860,0.760,0.694,0.671,0.838,0.870,0.885,0.714,0.890,0.899,0.882
+GB,0.708,0.634,0.712,0.771,0.788,0.771,0.826,0.815,0.757,0.656,0.588,0.585,0.774,0.724,0.722
+UA,0.745,0.760,0.756,0.752,0.765,0.740,0.679,0.708,0.679,0.674,0.680,0.701,,,
+LT,0.938,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index eabc6b84ce..f660594af4 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -19,6 +19,7 @@ Upcoming Release
 
 * Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
 
+* ``data/nuclear_p_max_pu.csv`` now stores annual energy availability factors per country with years as columns. The model automatically selects the column nearest to the simulated weather year.
 * The ``clustering: consider_efficiency_classes`` option now accepts a list of quantile boundaries (e.g. ``[0.1, 0.5, 0.9]``) in addition to a boolean. Labels are derived from quantile percentages (e.g. ``Q0``, ``Q10``, ``Q90``). The default behaviour (``true``) is unchanged, using ``[0.1, 0.9]`` quantiles.
 * Existing battery storage capacities from the powerplantmatching dataset can now be added to the network as ``StorageUnit`` components, using plant-level duration data with fallback to ``electricity: max_hours: battery`` and cost-table round-trip efficiency.
 
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 28a467e4d6..84fd226dfd 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -676,9 +676,15 @@ def attach_conventional_generators(
             if f"conventional_{carrier}_{attr}" in conventional_inputs:
                 # Values affecting generators of technology k country-specific
                 # First map generator buses to countries; then map countries to p_max_pu
-                values = pd.read_csv(
+                df = pd.read_csv(
                     conventional_inputs[f"conventional_{carrier}_{attr}"], index_col=0
-                ).iloc[:, 0]
+                )
+                try:
+                    df.columns = df.columns.astype(int)
+                    year = n.snapshots[0].year
+                    values = df[year]
+                except (ValueError, TypeError):
+                    values = df.iloc[:, -1]  # take last column if year selection fails
                 bus_values = n.buses.country.map(values)
                 n.generators.update(
                     {attr: n.generators.loc[idx].bus.map(bus_values).dropna()}

From f545f1813cc32c4db87c2078cc53c9d761ba2a43 Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Wed, 18 Feb 2026 12:30:05 +0000
Subject: [PATCH 010/105] Allow pixi post link scripts to run (#2079)

* Update pixi `run-post-link-scripts` config

* Remove `dot -c` from pixi tasks

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 .pixi/config.toml    | 5 ++++-
 Snakefile            | 1 -
 doc/index.rst        | 2 +-
 doc/introduction.rst | 2 +-
 pixi.toml            | 3 +--
 5 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/.pixi/config.toml b/.pixi/config.toml
index b5f21c1620..addb66df43 100644
--- a/.pixi/config.toml
+++ b/.pixi/config.toml
@@ -3,4 +3,7 @@
 # SPDX-License-Identifier: CC0-1.0
 
 pinning-strategy = "latest-up"
-run-post-link-scripts = "false" # set to "insecure" to allow running post-link scripts
+
+# This aligns with default `conda` behaviour.
+# Set to "false" to stop post-link scripts from running.
+run-post-link-scripts = "insecure"
diff --git a/Snakefile b/Snakefile
index 4a5b310905..40708388f9 100644
--- a/Snakefile
+++ b/Snakefile
@@ -290,7 +290,6 @@ rule rulegraph:
 
         # Generate visualizations from the DOT file
         if [ -s {output.dot} ]; then
-            dot -c
 
             echo "[Rule rulegraph] Generating PDF from DOT"
             dot -Tpdf -o {output.pdf} {output.dot} || {{ echo "Error: Failed to generate PDF. Is graphviz installed?" >&2; exit 1; }}
diff --git a/doc/index.rst b/doc/index.rst
index 45c6b35324..76429b74ed 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -141,7 +141,7 @@ Workflow
 
 .. note::
     The graph above was generated using
-    ``pixi run dot -c && snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png``
+    ``pixi run snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png``
 
 
 Learning Energy System Modelling
diff --git a/doc/introduction.rst b/doc/introduction.rst
index 2f97400e58..91b42a3596 100644
--- a/doc/introduction.rst
+++ b/doc/introduction.rst
@@ -49,7 +49,7 @@ preceding rules which another rule takes as input data.
 
 .. note::
     The dependency graph was generated using
-    ``pixi run dot -c && snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png``
+    ``pixi run snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png``
 
 For the use of ``snakemake``, it makes sense to familiarize yourself quickly
 with the `basic tutorial
diff --git a/pixi.toml b/pixi.toml
index 47596d7a2a..494844d470 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -29,7 +29,6 @@ logs, resources, benchmarks, results, and .snakemake directories except \
 """
 
 update-dags = """
-	dot -c && \
 	snakemake results/networks/base_s_128_elec_.nc -F --dag | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png && \
 	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png
 """
@@ -109,7 +108,7 @@ snakemake-executor-plugin-slurm = ">=1.9.2"
 
 [feature.doc.tasks.build-docs]
 args = ["dir", {"arg" = "output", "default" = "html"}]
-cmd = "dot -c && sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "
+cmd = "sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "
 
 [feature.doc.dependencies]
 atlite = "==0.4.1"

From 7bf8ed4137cb433fdecc611cc689bbc591e44052 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 14:37:31 +0100
Subject: [PATCH 011/105] Fix offshore wind potentials in Germany (#2081)

---
 config/config.default.yaml                 | 13 ++++---------
 config/schema.default.json                 | 17 +++++++++++++++++
 doc/release_notes.rst                      |  2 ++
 rules/build_electricity.smk                |  1 +
 scripts/determine_availability_matrix.py   | 15 ++++++++++++++-
 scripts/lib/validation/config/atlite.py    |  4 ++++
 scripts/lib/validation/config/renewable.py |  2 +-
 7 files changed, 43 insertions(+), 11 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index cdec450f07..e39768ed2b 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -189,6 +189,7 @@ atlite:
   default_cutout: "europe-2013-sarah3-era5"
   nprocesses: 16
   show_progress: false
+  plot_availability_matrix: false
   cutouts:
     "europe-1940-2024-era5":
       module: era5
@@ -270,9 +271,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
@@ -293,9 +292,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
@@ -316,9 +313,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
diff --git a/config/schema.default.json b/config/schema.default.json
index f80f65f6ed..efa865ca88 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -184,6 +184,11 @@
           "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
           "type": "boolean"
         },
+        "plot_availability_matrix": {
+          "default": false,
+          "description": "Whether to plot the landuse availability matrix.",
+          "type": "boolean"
+        },
         "cutouts": {
           "additionalProperties": {
             "description": "Configuration for a single cutout in `atlite.cutouts`.",
@@ -3113,6 +3118,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -3295,6 +3301,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -3477,6 +3484,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -6871,6 +6879,7 @@
               "type": "array"
             }
           ],
+          "default": false,
           "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
         },
         "luisa": {
@@ -8566,6 +8575,11 @@
           "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
           "type": "boolean"
         },
+        "plot_availability_matrix": {
+          "default": false,
+          "description": "Whether to plot the landuse availability matrix.",
+          "type": "boolean"
+        },
         "cutouts": {
           "additionalProperties": {
             "description": "Configuration for a single cutout in `atlite.cutouts`.",
@@ -8983,6 +8997,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -9165,6 +9180,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -9347,6 +9363,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index f660594af4..5b7fa35a5b 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 Upcoming Release
 ================
 
+* Bugfix: Disregard CORINE land cover data for offshore technologies since its scope is not sufficiently large and codes are already defined by offshore shapes.
+
 * Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/PyPSA/pypsa-eur/pull/2080).
 
 * Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index c33e7fdb73..bcee385311 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -298,6 +298,7 @@ rule determine_availability_matrix:
         "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     params:
         renewable=config_provider("renewable"),
+        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
     input:
         unpack(input_ua_md_availability_matrix),
         corine=ancient(rules.retrieve_corine.output["tif_file"]),
diff --git a/scripts/determine_availability_matrix.py b/scripts/determine_availability_matrix.py
index 3b3262c5de..ea1e249fe6 100644
--- a/scripts/determine_availability_matrix.py
+++ b/scripts/determine_availability_matrix.py
@@ -60,8 +60,11 @@
 
 import atlite
 import geopandas as gpd
+import matplotlib.pyplot as plt
 import numpy as np
 import xarray as xr
+from atlite.gis import shape_availability
+from rasterio.plot import show
 
 from scripts._helpers import configure_logging, load_cutout, set_scenario_config
 
@@ -73,7 +76,7 @@
         from scripts._helpers import mock_snakemake
 
         snakemake = mock_snakemake(
-            "build_renewable_profiles", clusters=100, technology="onwind"
+            "determine_availability_matrix", clusters="adm", technology="offwind-dc"
         )
     configure_logging(snakemake)
     set_scenario_config(snakemake)
@@ -166,6 +169,16 @@
         f"Completed landuse availability calculation for {technology} ({duration:2.2f}s)"
     )
 
+    if params.get("plot_availability_matrix", False):
+        logger.info(f"Plotting landuse availability matrix for {technology}.")
+        band, transform = shape_availability(
+            regions.geometry.to_crs(excluder.crs), excluder
+        )
+        fig, ax = plt.subplots(figsize=(10, 10))
+        regions.to_crs(excluder.crs).plot(ax=ax, color="none")
+        show(band, transform=transform, cmap="Greens", ax=ax)
+        plt.savefig(snakemake.output[0].replace(".nc", ".png"), dpi=300)
+
     # For Moldova and Ukraine: Overwrite parts not covered by Corine with
     # externally determined available areas
     if "availability_matrix_MD_UA" in snakemake.input.keys():
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
index cce1a04283..61b101e12e 100644
--- a/scripts/lib/validation/config/atlite.py
+++ b/scripts/lib/validation/config/atlite.py
@@ -121,6 +121,10 @@ class AtliteConfig(BaseModel):
         False,
         description="Whether progressbar for atlite conversion processes should be shown. False saves time.",
     )
+    plot_availability_matrix: bool = Field(
+        False,
+        description="Whether to plot the landuse availability matrix.",
+    )
     cutouts: dict[str, _CutoutConfig] = Field(
         default_factory=lambda: {
             "europe-1940-2024-era5": _CutoutConfig(
diff --git a/scripts/lib/validation/config/renewable.py b/scripts/lib/validation/config/renewable.py
index 7d549419f3..0778260401 100644
--- a/scripts/lib/validation/config/renewable.py
+++ b/scripts/lib/validation/config/renewable.py
@@ -151,7 +151,7 @@ class _OffwindConfig(BaseModel):
         0.8855, description="Correction factor for capacity factor time series."
     )
     corine: bool | list[int] = Field(
-        default_factory=lambda: [44, 255],
+        default=False,
         description="Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
     )
     luisa: bool | list[int] = Field(

From f4ed8ebde31d744573f33fc30acdadcfc890b7ee Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 15:10:26 +0100
Subject: [PATCH 012/105] distribute electricity demand by JRC energy atlas
 (#1829)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* distribute electricity demand by JRC energy atlas

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* reset_index when redistribute_attribute is called

* add dependency and adapt to new data inventory

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* add to data.csv

* codespell fixes and update pixi.lock

* update schema

* fixes for new data layer

* add rule messages

* solve slow DAG evaluation

The rule was using storage() in the input block, which caused Snakemake
to make HTTP HEAD requests during DAG construction to verify the file
exists. The UK government server is slow to respond to HEAD requests,
causing a 30x slowdown (2 sec → 60 sec) in DAG evaluation.

This fix removes the input block and handles the download directly in
the run block using requests.get(), matching the pattern used by
retrieve_ons_lad. This eliminates the existence check and restores
DAG evaluation speed.

* fix retrieval issues with storage()

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* add raise_for_status

* restore master pixi.lock

* update pixi.lock

* add to archive

* more archive

* handle archive

* fix swiss

* generate config

* fix: url format

* add retrieval for for archive and fix upload

* another url fix

* update pixi.lock

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
---
 .pre-commit-config.yaml                  |    2 +-
 config/config.default.yaml               |   10 +
 config/schema.default.json               |  130 ++
 data/versions.csv                        |    7 +
 doc/data_inventory.csv                   |    3 +
 doc/release_notes.rst                    |   11 +
 doc/retrieve.rst                         |   14 +
 pixi.lock                                | 1536 +++++++++++++++-------
 pixi.toml                                |    1 +
 rules/build_electricity.smk              |    4 +
 rules/retrieve.smk                       |   78 ++
 scripts/build_electricity_demand_base.py |  211 ++-
 scripts/lib/validation/config/data.py    |   12 +
 scripts/lib/validation/config/load.py    |    4 +
 14 files changed, 1503 insertions(+), 520 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 786c17d342..73d2bd72f0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -29,7 +29,7 @@ repos:
   rev: v2.4.1
   hooks:
   - id: codespell
-    args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund'] # Ignore capital case words, e.g. country codes
+    args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,ons'] # Ignore capital case words, e.g. country codes
     types_or: [python, rst, markdown]
     files: ^(scripts|doc)/
 
diff --git a/config/config.default.yaml b/config/config.default.yaml
index e39768ed2b..f003965cb5 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -497,6 +497,7 @@ load:
   scaling_factor: 1.0
   fixed_year: false
   supplement_synthetic: true
+  substation_only: true
   distribution_key:
     gdp: 0.6
     population: 0.4
@@ -1430,6 +1431,15 @@ data:
   jrc_ardeco:
     source: archive
     version: latest
+  jrc_energy_atlas:
+    source: archive
+    version: latest
+  desnz_electricity_consumption:
+    source: archive
+    version: latest
+  ons_lad:
+    source: archive
+    version: latest
   bidding_zones_electricitymaps:
     source: archive
     version: latest
diff --git a/config/schema.default.json b/config/schema.default.json
index efa865ca88..ded9c4fe89 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -1951,6 +1951,66 @@
             }
           }
         },
+        "jrc_energy_atlas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "desnz_electricity_consumption": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ons_lad": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "bidding_zones_electricitymaps": {
           "description": "Configuration for a single data source.",
           "properties": {
@@ -2761,6 +2821,11 @@
           "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
           "type": "boolean"
         },
+        "substation_only": {
+          "default": true,
+          "description": "Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+          "type": "boolean"
+        },
         "distribution_key": {
           "description": "Configuration for `load.distribution_key` settings.",
           "properties": {
@@ -10113,6 +10178,11 @@
           "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
           "type": "boolean"
         },
+        "substation_only": {
+          "default": true,
+          "description": "Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+          "type": "boolean"
+        },
         "distribution_key": {
           "description": "Configuration for `load.distribution_key` settings.",
           "properties": {
@@ -13437,6 +13507,66 @@
             }
           }
         },
+        "jrc_energy_atlas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "desnz_electricity_consumption": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ons_lad": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "bidding_zones_electricitymaps": {
           "description": "Configuration for a single data source.",
           "properties": {
diff --git a/data/versions.csv b/data/versions.csv
index 7f00cab10e..e4ebd18957 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -34,6 +34,8 @@ country_runoff,2025-08-13,primary,latest supported,2025-12-02,,https://zenodo.or
 country_runoff,2025-08-13,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/country_runoff/2025-08-13/era5-runoff-per-country.csv
 cutout,v1.0,archive,latest supported,2026-01-13,Pre-build cutouts for PyPSA-Eur,https://data.pypsa.org/workflows/cutout/v1.0
 cutout,unknown,build,latest supported,2025-12-02,Build latest cutouts using ERA5/SARAH3 data.,
+desnz_electricity_consumption,unknown,primary,latest supported,2026-02-02,,https://assets.publishing.service.gov.uk/media/6762951abe7b2c675de30705/Subnational_electricity_consumption_statistics_2005-2024.xlsx
+desnz_electricity_consumption,2026-02-16,archive,latest supported,2026-02-16,,https://data.pypsa.org/workflows/eur/desnz_electricity_consumption/2026-02-16/Subnational_electricity_consumption_statistics_2005-2024.xlsx
 dh_areas,341.5,primary,latest supported,2025-12-02,,https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/2/dh_areas.gpkg
 dh_areas,341.5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/dh_areas/341.5/dh_areas.gpkg
 eez,v12_20231025,primary,latest supported,2025-12-02,API request used,https://www.marineregions.org/download_file.php
@@ -77,6 +79,8 @@ hotmaps_industrial_sites,unknown,primary,latest supported,2025-12-02,,https://gi
 instrat_co2_prices,unknown,primary,latest supported,2026-02-03,API endpoint provides latest data without versioning,https://energy-api.instrat.pl/api/prices/co2?all=1
 jrc_ardeco,2021,primary,latest supported,2025-12-02,,https://territorial.ec.europa.eu/ardeco-api-v2/rest/export/
 jrc_ardeco,2021,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/jrc_ardeco/2021
+jrc_energy_atlas,unknown,primary,latest supported,2026-02-02,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/electricity_tot_demand_2019.tif
+jrc_energy_atlas,2026-02-16,archive,latest supported,2026-02-16,,https://data.pypsa.org/workflows/eur/jrc_energy_atlas/2026-02-16/electricity_tot_demand_2019.tif
 jrc_idees,2023-v1,primary,latest supported,2026-02-04,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2023_v1/JRC-IDEES-2023.zip
 jrc_idees,2023-v1,archive,latest supported,2026-02-09,,https://data.pypsa.org/workflows/eur/jrc_idees/2023-v1/JRC-IDEES-2023.zip
 jrc_idees,2021-v1,primary,supported,2025-12-02,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2021_v1/JRC-IDEES-2021.zip
@@ -102,6 +106,8 @@ nitrogen_statistics,2022,primary,latest supported,2025-12-02,,https://d9-wret.s3
 nitrogen_statistics,2022,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
 nuts3_population,13-03-2025,primary,latest supported,2025-12-02,,https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true
 nuts3_population,13-03-2025,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
+ons_lad,may-2024,primary,latest supported,2026-02-02,API request used,https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Authority_Districts_May_2024_Boundaries__UK_BSC/FeatureServer/0/query
+ons_lad,may-2024,archive,latest supported,2026-02-17,API request used,https://data.pypsa.org/workflows/eur/ons_lad/may-2024/ons_lad.geojson
 opsd_electricity_demand,unknown,build,latest supported,2026-02-02,multiple versions concatenated,https://data.open-power-system-data.org/time_series/
 opsd_electricity_demand,2026-02-02,archive,latest supported,2026-02-03,,https://data.pypsa.org/workflows/eur/opsd_electricity_demand/2026-02-02/electricity_demand_opsd_raw.csv
 osm,unknown,build,latest supported,2025-12-02,Latest dataset built using OSM data. No single URL available to access the data. See the related scripts and documentation for details.,
@@ -140,6 +146,7 @@ seawater_temperature,v1.0,archive,latest supported,2026-01-21,Test cutout seawat
 ship_raster,v5,primary,latest supported,2025-12-02,,https://datacatalogfiles.worldbank.org/ddh-published/0037580/5/DR0045406/shipdensity_global.zip
 ship_raster,v5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/ship_raster/v5/shipdensity_global.zip
 swiss_energy_balances,2025-10-01,primary,latest supported,2026-02-12,,https://pubdb.bfe.admin.ch/de/publication/download/12361
+swiss_energy_balances,2025-10-01,archive,latest supported,2026-02-16,,https://web.archive.org/web/20260216/https%3A//pubdb.bfe.admin.ch/de/publication/download/12361
 synthetic_electricity_demand,v2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/10820928/files/demand_hourly.csv
 synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2
 synthetic_electricity_demand,0.1.0,archive,deprecated might-work,2026-01-13,,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/0.1.0/demand_hourly.csv
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 2ef479a524..6b2a9ce831 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -49,5 +49,8 @@
 "dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
 "geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
 "jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","https://territorial.ec.europa.eu/ardeco","similar to CC-BY"
+"jrc_energy_atlas","JRC Energy Atlas","Contains 1km by 1km raster data of annual electricity demand per EU country","European Commission Joint Research Centre","https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/","`CC-BY-4.0 <https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/copyright.txt>`__"
+"desnz_electricity_consumption","Regional and local authority electricity consumption statistics","Contains subnational electricity consumption statistics from 2005 to 2023.","UK Government, Department for Energy Security and Net Zero","https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics","Open Government Licence v3.0"
+"ons_lad","UK Local Authority Districts May 2024 Boundaries","Contains shapefiles of local authorities in the United Kingdom.","UK Office for National Statistics","https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about","Open Government Licence v.3.0"
 "bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","https://github.com/electricitymaps/electricitymaps-contrib","AGPL-3.0"
 "bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","https://github.com/EnergieID/entsoe-py","MIT"
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 5b7fa35a5b..8cd736cd2c 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -212,6 +212,17 @@ Upcoming Release
 * Fix `retrieve_eurostat_data` and `retrieve_eurostat_household_data` on Windows by avoiding a double access to a temporary file.
   (https://github.com/PyPSA/pypsa-eur/pull/1825)
 
+* Distributing country-level electricity demand time series to subnational model
+  regions of EU countries now uses data from the `JRC Energy Atlas
+  <https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas>`__. This
+  dataset provides electricity consumption on a 1km by 1km raster for the year,
+  which is more accurate than the previous NUTS3-based distribution. Another
+  dataset is used for Great Britain from the `Department for Energy Security and
+  Net Zero
+  <https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics>`__.
+  Other non-EU countries still use NUTS3-based distribution keys from GDP and
+  population.
+
 * Update GEM steel plant tracker and use initial release of GEM cement plant tracker.
 
 * Added integration with the OETC platform
diff --git a/doc/retrieve.rst b/doc/retrieve.rst
index 360ee3fcb3..40ee8813c4 100644
--- a/doc/retrieve.rst
+++ b/doc/retrieve.rst
@@ -30,6 +30,20 @@ Rule ``retrieve_cutout``
 See :ref:`cutouts`.
 
 
+Rule ``retrieve_electricity_demand_energy_atlas``
+=================================================
+
+This rule downloads 1km by 1km raster of estimated annual electricity demand from the `JRC Energy Atlas <https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/>`__ .
+
+Rule ``retrieve_desnz_electricity_consumption``
+================================================
+
+This rule downloads subnational electricity consumption data for Great Britain from the `Department for Energy Security and Net Zero <https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics>`__ .
+
+Rule ``retrieve_ons_lad``
+=========================
+
+This rule downloads shapefiles of local authorities in the United Kingdom from the `Office for National Statistics <https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about>`__ .
 
 Rule ``retrieve_electricity_demand_opsd``
 =========================================
diff --git a/pixi.lock b/pixi.lock
index fcc7439628..5ccb9a0402 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,8 +5,6 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -64,7 +62,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.51-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -494,6 +492,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.10.2-hb82b983_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.3-py313h7033f15_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/rasterstats-0.20.0-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ratelimit-2.2.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2025.11.05-h5301d42_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
@@ -527,6 +526,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/simpleeval-1.0.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/simplejson-3.20.2-py313h07c4f96_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/smmap-5.0.2-pyhd8ed1ab_0.conda
@@ -647,7 +647,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py312h80cd6c1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py313h537e735_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ampl-asl-1.0.0-h240833e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
@@ -658,10 +658,10 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-25.1.0-py312h80b0991_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-25.1.0-py313hf050af9_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/astroid-4.0.4-py312hb401068_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/astroid-4.0.4-py313habf4b1d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/atk-1.0-2.38.0-h4bec284_2.conda
@@ -686,7 +686,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-common-cpp-12.12.0-h7373072_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-files-datalake-cpp-12.14.0-he1781d6_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.18.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/backports.zstd-1.3.0-py312h6917036_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/backports.zstd-1.3.0-py313h591e92b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.3.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-hbca2aae_1.conda
@@ -694,12 +694,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.6-hd145fbb_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/bottleneck-1.6.0-np2py312he8eb05d_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.51-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/bottleneck-1.6.0-np2py313h4e95564_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.2.0-hf139dec_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.2.0-h8616949_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.2.0-py312h4b46afd_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.2.0-py313h8d69aa9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h500dc9f_9.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.34.6-hb5e19a0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-2.23.0-h548f922_0.conda
@@ -707,14 +707,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.18.4-h7656bdc_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py312h86abcb1_1.conda
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   size: 993471
   timestamp: 1767525057464
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+  - propcache >=0.2.0
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - yarl >=1.17.0,<2.0
+  license: MIT AND Apache-2.0
+  license_family: Apache
+  size: 1000418
+  timestamp: 1767524921989
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-  md5: 66f6b81d4bf42e3da028763e9d873bff
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
-  size: 33431
-  timestamp: 1762509769660
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: LGPL-2.1-or-later
   license_family: LGPL
-  size: 509345
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-  md5: c8b7d0fb5ff6087760dde8f5f388b135
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-  - python_abi 3.12.* *_cp312
+  - python_abi 3.13.* *_cp313
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   license: BSD-3-Clause AND MIT AND EPL-2.0
-  size: 238093
-  timestamp: 1767044989890
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   license: Apache-2.0
   license_family: Apache
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+  - python_abi 3.13.* *_cp313
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   license: MIT
   license_family: MIT
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+  - shapely >=2.0
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.3.3-py313h98b818e_4.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/cryptography-46.0.5-py313h6e3882f_0.conda
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cytoolz-1.1.0-py312h4409184_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.20-py312h29de90a_0.conda
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   license: MIT
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   - shapely
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   license_family: BSD
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   license: PROPRIETARY
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   license: BSD-3-Clause
   license_family: BSD
-  size: 7978246
-  timestamp: 1770098377108
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   timestamp: 1769122437049
+- conda: https://conda.anaconda.org/conda-forge/osx-64/openpyxl-3.1.5-py313hc34da29_3.conda
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   license: BSD-3-Clause
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-  - numpy >=1.23,<3
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+  - numpy >=1.23,<3
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   timestamp: 1744525135519
+- conda: https://conda.anaconda.org/conda-forge/osx-64/propcache-0.3.1-py313h717bdf5_0.conda
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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+  license: BSD-3-Clause
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+  - python_abi 3.13.* *_cp313
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: Apache-2.0
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
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   license: Apache-2.0
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+  - python_abi 3.13.* *_cp313
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.8.0-np2py313he2891f2_1.conda
+  sha256: 02374f108b175d6af04461ee82423527f6606a1ac5537b31374066ee9ca3d6c6
+  md5: f650ee53b81fcb9ab2d9433f071c6682
   depends:
   - python
   - numpy >=1.24.1
   - scipy >=1.10.0
   - joblib >=1.3.0
   - threadpoolctl >=3.2.0
-  - __osx >=10.13
-  - llvm-openmp >=19.1.7
   - libcxx >=19
-  - python_abi 3.12.* *_cp312
+  - llvm-openmp >=19.1.7
+  - __osx >=10.13
+  - python_abi 3.13.* *_cp313
   - numpy >=1.23,<3
   license: BSD-3-Clause
   license_family: BSD
-  size: 9288972
-  timestamp: 1766550860454
+  size: 9466389
+  timestamp: 1766550959465
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.7.2-py312h79e0ffc_0.conda
   sha256: e46279d674d580dfeeb1c10dede94df65dbb25d951e35978893058e59e496bfa
   md5: c3b31a2189b2a54272ab6831fe16106d
@@ -28658,6 +29107,26 @@ packages:
   license_family: BSD
   size: 15064644
   timestamp: 1768800945420
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda
+  sha256: c30ec7d0e2571f6f2ddaddf3eb64e0e2e16e58c0a4f724f2ee2b894e0ce1a8e4
+  md5: 076afc646e5b800ab4adece0310795db
+  depends:
+  - __osx >=10.13
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - libcxx >=19
+  - libgfortran
+  - libgfortran5 >=14.3.0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 15299524
+  timestamp: 1768800867425
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.0-py312h0f234b1_1.conda
   sha256: a204b9b3a59a88a320d9da772eecda58242cfaaf785119927eb59c4bdc6fa66f
   md5: 1f5a9253e1c3484a5c1df0b8145a9ce3
@@ -28882,19 +29351,19 @@ packages:
   license_family: BSD
   size: 541745
   timestamp: 1741167264444
-- conda: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.1.2-py312hd8edc82_2.conda
-  sha256: 0ad376aee3a2fe149443af9345aadeb8ad82a95953bee74b59ca17997da03012
-  md5: eae9cbc6418de8f26e08f4fb255759e9
+- conda: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.1.2-py313h210a477_2.conda
+  sha256: 811dbfec32a8b267de2bfd31579361d668adf725f10a21f5163563e500093c1d
+  md5: 1aa318a8d24b42383ceb2ac8f5ea7d5a
   depends:
   - __osx >=10.13
   - geos >=3.14.1,<3.14.2.0a0
   - numpy >=1.23,<3
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 603294
-  timestamp: 1762523892524
+  size: 620427
+  timestamp: 1762524026835
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/shapely-2.0.7-py312hf733f26_1.conda
   sha256: dc09fedd0ae7857571c1daf7ee1322f5535d486e4f939a4ce2ac4741ad85736d
   md5: 5033b6bb0358d8a756ec2fbf7739ed36
@@ -28971,6 +29440,54 @@ packages:
   license_family: MIT
   size: 21558
   timestamp: 1751650049429
+- conda: https://conda.anaconda.org/conda-forge/linux-64/simplejson-3.20.2-py313h07c4f96_1.conda
+  sha256: cf44d6bd3dc3be6b683fac251d6b53d508d041506a2101fd7cdb404468cf8be3
+  md5: 1cc1de04373b633177f4d367b8b75270
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  size: 133692
+  timestamp: 1762506927030
+- conda: https://conda.anaconda.org/conda-forge/osx-64/simplejson-3.20.2-py313hf050af9_1.conda
+  sha256: 15b28d63c119b4d42426255bdf3165ada1afb2578840cb6ccf8ac16fc492f148
+  md5: 099e12ab59f12207a460dbb029f46a8b
+  depends:
+  - __osx >=10.13
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  size: 133911
+  timestamp: 1762507405598
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/simplejson-3.20.2-py313h6535dbc_1.conda
+  sha256: ef09659f0248066e8c06a0bd8bd1a360b8158cd2d73c65c969897e20344c6a2a
+  md5: 27a8bc65b5f0aecb87a01568e573e6ae
+  depends:
+  - __osx >=11.0
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  size: 133717
+  timestamp: 1762507593463
+- conda: https://conda.anaconda.org/conda-forge/win-64/simplejson-3.20.2-py313h5ea7bf4_1.conda
+  sha256: b1ea3625e7dcda6ea6121dc61461da9bc9be54a99aa20ed26a5ee5b43663b5c4
+  md5: bcdc4785e018f4325845f8217333a17e
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: MIT
+  license_family: MIT
+  size: 132684
+  timestamp: 1762507090611
 - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
   sha256: 458227f759d5e3fcec5d9b7acce54e10c9e1f4f4b7ec978f3bfd54ce4ee9853d
   md5: 3339e3b65d58accf4ca4fb8748ab16b3
@@ -29547,6 +30064,23 @@ packages:
   license_family: BSD
   size: 11516375
   timestamp: 1764983568072
+- conda: https://conda.anaconda.org/conda-forge/osx-64/statsmodels-0.14.6-py313h0f4b8c3_0.conda
+  sha256: 742814f77d9f36e370c05a8173f05fbaf342f9b684b409d41b37db6232991d9e
+  md5: c4a63959628293c523d6c4276049e1e9
+  depends:
+  - __osx >=10.13
+  - numpy <3,>=1.22.3
+  - numpy >=1.23,<3
+  - packaging >=21.3
+  - pandas !=2.1.0,>=1.4
+  - patsy >=0.5.6
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - scipy !=1.9.2,>=1.8
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 11721252
+  timestamp: 1764983752241
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/statsmodels-0.14.6-py312ha11c99a_0.conda
   sha256: 18f8711f235e32d793938e1738057e7be1d0bfe98f7d27e3e4b98aa757deae92
   md5: 31f49265d8de9776cd15b421f24b23e0
@@ -29630,17 +30164,16 @@ packages:
   license_family: MIT
   size: 10339
   timestamp: 1734359694686
-- conda: https://conda.anaconda.org/conda-forge/win-64/symlink-exe-runtime-1.0-hcfcfb64_0.tar.bz2
-  sha256: 4a7096df38cf8c7e5ee965ea957c0fadf8b5e1140f5b2da625075cc6d7a22bf7
-  md5: 2b03b51163e311e87a6d4a4e9776b24b
+- conda: https://conda.anaconda.org/conda-forge/win-64/symlink-exe-runtime-1.0-hfd05255_1.conda
+  sha256: b0bed04bef902b8537cc5a3b41501addfec2fc6f707d034fffff36414d9687aa
+  md5: 618cda283f0ad106ef59af3d490e885e
   depends:
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vs2015_runtime >=14.29.30139
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
-  license_family: BSD
-  size: 11597
-  timestamp: 1666792984220
+  size: 13277
+  timestamp: 1771408906803
 - conda: https://conda.anaconda.org/conda-forge/noarch/tableschema-to-template-0.0.13-pyhd8ed1ab_1.conda
   sha256: 0b06ad1f856103728a98c8307f1e49c8f272b6ab05e5b042c641cb794a1bfaf2
   md5: 44bbc578da0d9d6b2f511a9280984fa1
@@ -29974,6 +30507,17 @@ packages:
   license_family: Apache
   size: 854453
   timestamp: 1765836802876
+- conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.5.4-py313h16c19ce_0.conda
+  sha256: 94d25f6ad0a21dd788f4e1dddec24696edb36e651939a4c241444ee1340ac006
+  md5: d8976bd40232eea804fa55c429774c0d
+  depends:
+  - __osx >=11.0
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: Apache-2.0
+  license_family: Apache
+  size: 878614
+  timestamp: 1765836723769
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.5.4-py312h4409184_0.conda
   sha256: 114bfa1b859a64c589c428fce0ff8e358d8f0aaa7b98d353b94a95c7bceae640
   md5: fde4548a1e99c14eea9752f270ab68aa
@@ -30202,18 +30746,18 @@ packages:
   license_family: BSD
   size: 59579
   timestamp: 1756674035664
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ujson-5.11.0-py312h2ac44ba_1.conda
-  sha256: af0c6a5002d053bc297a33fd5f9a100f5f474fdd4716048ca38a89121884eac7
-  md5: 20b573a672a3ea3d481f9095f1bb4484
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ujson-5.11.0-py313h03db916_1.conda
+  sha256: d228a276f8907b3e069b242f90a1e0d660fd003331a3516b1e46927afae939c8
+  md5: 9e01b71fd0f9308e5a079076659528c6
   depends:
   - python
   - libcxx >=19
   - __osx >=10.13
-  - python_abi 3.12.* *_cp312
+  - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 68397
-  timestamp: 1756674106944
+  size: 68519
+  timestamp: 1756674089835
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ujson-5.11.0-py313hab38a8b_1.conda
   sha256: a3a81b9150aa500246dc1022b0c62b6fd0c15575b0c594dab55cfc9b198ce67a
   md5: 20402be2af0775ceca6f9178cf9c3428
@@ -30257,19 +30801,19 @@ packages:
   license_family: MIT
   size: 14910
   timestamp: 1769438729201
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.1.0-py312h0aa9c5c_0.conda
-  sha256: 833c7b0947be7ee67e561066e94ea284cdb235d57648e4538b2cf2062e8d919b
-  md5: a7692ba7ead6f7e3c910339851776c92
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.1.0-py313h252b9d7_0.conda
+  sha256: 201d026c60bbbdd7c9bf9b3c61f807711ba24a9899a1b7f8a978b507d44d7efa
+  md5: e6ab56e180655e23353afea13caebc44
   depends:
   - __osx >=10.13
   - cffi
   - libcxx >=19
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
-  size: 14209
-  timestamp: 1769438958547
+  size: 14202
+  timestamp: 1769439075795
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.1.0-py313h5c29297_0.conda
   sha256: d28d0242d3fa23784630c775d5b628ce25e2d45f5d3f1cfcdc3815bc954073fa
   md5: 43b1eb729bd1cd9ea595548eb8100b65
@@ -30629,17 +31173,17 @@ packages:
   license_family: BSD
   size: 64865
   timestamp: 1756851811052
-- conda: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py312h2f459f6_1.conda
-  sha256: df1430736e2b8ecfb559b7240478517c71d85697dee753628ef9ead84c3d1e52
-  md5: a92e23c22f481e7c8bc5d2dc551c101d
+- conda: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py313h585f44e_1.conda
+  sha256: dd8f1b31d78220dae5fd046d53d4c4b90251661086b44aef074e7775398719fc
+  md5: 765dc9b39fc2d62e1351c3a26e316607
   depends:
   - __osx >=10.13
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: BSD-2-Clause
   license_family: BSD
-  size: 60710
-  timestamp: 1756851817591
+  size: 61239
+  timestamp: 1756851742749
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/wrapt-1.17.3-py313hcdf3177_1.conda
   sha256: 5919f7142db9344116760b797e4a5d28ca3961f927a2ba1c4a61d3f0f3282dd2
   md5: cd6b5084444b0b4ed22dde20355d4c4b
@@ -31413,6 +31957,20 @@ packages:
   license_family: Apache
   size: 143615
   timestamp: 1761337116037
+- conda: https://conda.anaconda.org/conda-forge/osx-64/yarl-1.22.0-py313h0f4d31d_0.conda
+  sha256: f7f635d59f5cfa53a64032c29f10c9f637467c6e02b4b0407301de469c77b06b
+  md5: 06dd2b86a96a57edc0f592f909b268ae
+  depends:
+  - __osx >=10.13
+  - idna >=2.0
+  - multidict >=4.0
+  - propcache >=0.2.1
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: Apache-2.0
+  license_family: Apache
+  size: 145217
+  timestamp: 1761337423989
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yarl-1.22.0-py312h5748b74_0.conda
   sha256: 49ee6fcb59e63cceb1f01777ac8b67d44633b6cdad5c47b02bc995f6e96955eb
   md5: 0a28337559bbd97ff6d99598c7a3ffb4
@@ -31705,6 +32263,20 @@ packages:
   license_family: BSD
   size: 462661
   timestamp: 1762512711429
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py313hcb05632_1.conda
+  sha256: eed36460cfd4afdcb5e3dbca1f493dd9251e90ad793680064efdeb72d95f16a0
+  md5: da657125cfc67fe18e4499cf88dbe512
+  depends:
+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - __osx >=10.13
+  - python_abi 3.13.* *_cp313
+  - zstd >=1.5.7,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 468984
+  timestamp: 1762512716065
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_1.conda
   sha256: af843b0fe62d128a70f91dc954b2cb692f349a237b461788bd25dd928d0d1ef8
   md5: 9300889791d4decceea3728ad3b423ec
diff --git a/pixi.toml b/pixi.toml
index 494844d470..626aa79dc2 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -81,6 +81,7 @@ python = ">=3.10"
 pytz = ">=2025.2"
 pyxlsb = ">=1.0.10"
 rasterio = ">=1.4.3"
+rasterstats = ">=0.10.3"
 rioxarray = ">=0.20.0"
 ruff = ">=0.14.3"
 "ruamel.yaml" = ">=0.18.0"
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index bcee385311..f5b67a3403 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -585,9 +585,13 @@ rule build_electricity_demand_base:
         "Building electricity demand time series for base network"
     params:
         distribution_key=config_provider("load", "distribution_key"),
+        substation_only=config_provider("load", "substation_only"),
     input:
         base_network=resources("networks/base_s.nc"),
         regions=resources("regions_onshore_base_s.geojson"),
+        raster=rules.retrieve_electricity_demand_energy_atlas.output["tif"],
+        gb_excel=rules.retrieve_desnz_electricity_consumption.output["xlsx"],
+        gb_geojson=rules.retrieve_ons_lad.output["geojson"],
         nuts3=resources("nuts3_shapes.geojson"),
         load=resources("electricity_demand.csv"),
     output:
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index b2ca6a5f88..dbb9c8662c 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -61,6 +61,7 @@ if (
 if (SWISS_ENERGY_BALANCES_DATASET := dataset_version("swiss_energy_balances"))[
     "source"
 ] in [
+    "archive",
     "primary",
 ]:
 
@@ -679,6 +680,83 @@ if (
             copy2(input["csv"], output["csv"])
 
 
+if (ENERGY_ATLAS_DATASET := dataset_version("jrc_energy_atlas"))["source"] in [
+    "primary",
+    "archive",
+]:
+
+    rule retrieve_electricity_demand_energy_atlas:
+        message:
+            "Retrieving JRC Energy Atlas electricity demand data raster"
+        output:
+            tif=f"{ENERGY_ATLAS_DATASET['folder']}/electricity_tot_demand_2019.tif",
+        run:
+            import requests
+
+            url = ENERGY_ATLAS_DATASET["url"]
+            response = requests.get(url)
+            response.raise_for_status()
+            with open(output["tif"], "wb") as f:
+                f.write(response.content)
+
+
+
+if (
+    DESNZ_ELECTRICITY_CONSUMPTION_DATASET := dataset_version(
+        "desnz_electricity_consumption"
+    )
+)["source"] in ["primary", "archive"]:
+
+    rule retrieve_desnz_electricity_consumption:
+        message:
+            "Retrieving DESNZ subnational electricity consumption data"
+        output:
+            xlsx=f"{DESNZ_ELECTRICITY_CONSUMPTION_DATASET['folder']}/Subnational_electricity_consumption_statistics_2005-2024.xlsx",
+        run:
+            import requests
+
+            url = DESNZ_ELECTRICITY_CONSUMPTION_DATASET["url"]
+            response = requests.get(url)
+            response.raise_for_status()
+            with open(output["xlsx"], "wb") as f:
+                f.write(response.content)
+
+
+
+if (ONS_LAD_DATASET := dataset_version("ons_lad"))["source"] in ["archive"]:
+
+    rule retrieve_ons_lad:
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
+        input:
+            geojson=storage(ONS_LAD_DATASET["url"]),
+        output:
+            geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        run:
+            copy2(input["geojson"], output["geojson"])
+
+elif ONS_LAD_DATASET["source"] in ["primary"]:
+
+    rule retrieve_ons_lad:
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
+        output:
+            geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        run:
+            import requests
+
+            url = ONS_LAD_DATASET["url"]
+            params = {
+                "outFields": "*",
+                "where": "1=1",
+                "f": "geojson",
+            }
+            response = requests.get(url, params=params)
+            with open(output["geojson"], "wb") as f:
+                f.write(response.content)
+
+
+
 if (SHIP_RASTER_DATASET := dataset_version("ship_raster"))["source"] in [
     "archive",
     "primary",
diff --git a/scripts/build_electricity_demand_base.py b/scripts/build_electricity_demand_base.py
index ba07b7bfa8..4cd84b9faf 100644
--- a/scripts/build_electricity_demand_base.py
+++ b/scripts/build_electricity_demand_base.py
@@ -6,86 +6,219 @@
 """
 
 import logging
-from itertools import product
 
+import country_converter as coco
 import geopandas as gpd
 import numpy as np
 import pandas as pd
 import pypsa
-import scipy.sparse as sparse
+import rasterio as rio
 import xarray as xr
-from shapely.prepared import prep
+from rasterstats import zonal_stats
 
 from scripts._helpers import configure_logging, set_scenario_config
 
 logger = logging.getLogger(__name__)
 
+cc = coco.CountryConverter()
+
 
 def normed(s: pd.Series) -> pd.Series:
     return s / s.sum()
 
 
-def shapes_to_shapes(orig: gpd.GeoSeries, dest: gpd.GeoSeries) -> sparse.lil_matrix:
+def redistribute_attribute(
+    orig: gpd.GeoDataFrame, dest: gpd.GeoDataFrame, attr: str
+) -> pd.Series:
+    """
+    Redistributes an attribute from origin GeoDataFrame to destination GeoDataFrame based on overlapping areas.
+
+    Computes the intersection between geometries and proportionally assigns the attribute values
+    according to the share of overlapping area.
+
+    Parameters
+    ----------
+    orig : gpd.GeoDataFrame
+        Source GeoDataFrame containing the attribute to redistribute
+    dest : gpd.GeoDataFrame
+        Target GeoDataFrame to receive redistributed values
+    attr : str
+        Name of the attribute column to redistribute
+
+    Returns
+    -------
+    pd.Series
+        Redistributed attribute values indexed by destination's 'name' column
+    """
+    if orig.crs != 3035:
+        orig = orig.to_crs(epsg=3035)
+    if dest.crs != 3035:
+        dest = dest.to_crs(epsg=3035)
+    orig["area_orig"] = orig.area
+    overlay = gpd.overlay(dest, orig, keep_geom_type=False)
+    overlay["share"] = overlay.area / overlay.area_orig
+    overlay["attr"] = overlay[attr].mul(overlay.share)
+    return overlay.dissolve("name", aggfunc="sum")["attr"]
+
+
+def energy_atlas_distribution_keys(
+    raster_fn: str, regions: gpd.GeoDataFrame
+) -> pd.Series:
     """
-    Adopted from vresutils.transfer.Shapes2Shapes()
+    Calculate distribution keys for regions based on energy atlas raster data.
+
+    Parameters
+    ----------
+    fn : str
+        File path to the raster data (GeoTIFF format).
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the regions with a 'country' column.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
+        Sum of keys per country equals 1 (unless omitted islands in regions).
     """
-    orig_prepped = list(map(prep, orig))
-    transfer = sparse.lil_matrix((len(dest), len(orig)), dtype=float)
 
-    for i, j in product(range(len(dest)), range(len(orig))):
-        if orig_prepped[j].intersects(dest.iloc[i]):
-            area = orig.iloc[j].intersection(dest.iloc[i]).area
-            transfer[i, j] = area / dest.iloc[i].area
+    raster = rio.open(raster_fn)
+    band = raster.read(1)
 
-    return transfer
+    distribution_keys = []
+    for country, group in regions.groupby("country"):
+        if country not in cc.EU27as("ISO2").ISO2.to_list():
+            continue
+        weights = zonal_stats(
+            group, band, affine=raster.transform, nodata=-1, stats="sum"
+        )
+        group["weights"] = [w["sum"] for w in weights]
+        distribution_keys.append(group["weights"] / group["weights"].sum())
+    distribution_keys = pd.concat(distribution_keys).reindex(regions.index)
+    return distribution_keys
+
+
+def gb_distribution_keys(
+    excel_fn: str, geojson_fn: str, regions: gpd.GeoDataFrame
+) -> pd.Series:
+    """
+    Calculate distribution keys for Great Britain regions based on electricity consumption statistics.
+
+    Parameters
+    ----------
+    excel_fn : str
+        File path to the Excel file containing electricity consumption by local authority districts.
+    geojson_fn : str
+        File path to the GeoJSON file containing geometries of local authority districts.
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the network regions.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
+    """
+
+    df = pd.read_excel(excel_fn, skiprows=4, sheet_name="2019")
+    df = df.loc[~df["Local authority"].isin(["All local authorities", "Unallocated"])]
+    gdf = gpd.read_file(geojson_fn).to_crs(epsg=3035)
+    gdf = gdf.rename(columns={"LAD24CD": "Code"}).merge(df, on="Code")
+
+    attr = "Total consumption\n(GWh):\nAll meters"
+    redistributed = redistribute_attribute(gdf, regions.reset_index(drop=True), attr)
+    distribution_keys = normed(redistributed)
+    return distribution_keys
+
+
+def nuts3_distribution_keys(
+    nuts3_fn: str, distribution_key: dict[str, float], regions: gpd.GeoDataFrame
+) -> pd.Series:
+    """
+    Calculate distribution keys for regions based on NUTS3 data (GDP and population).
+
+    Parameters
+    ----------
+    nuts3_fn : str
+        File path to the NUTS3 GeoJSON file containing geometries and attributes.
+    distribution_key : dict[str, float]
+        Weights for GDP and population in the distribution key calculation.
+        Example: {"gdp": 0.6, "pop": 0.4}
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the regions with a 'country' column.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
+    """
+
+    gdp_weight = distribution_key.get("gdp", 0.6)
+    pop_weight = distribution_key.get("pop", 0.4)
+
+    nuts3 = gpd.read_file(nuts3_fn).to_crs(epsg=3035)
+    nuts3.rename(columns={"name": "nuts3_name"}, inplace=True)
+
+    regions["pop"] = redistribute_attribute(
+        nuts3, regions.reset_index(drop=True), "pop"
+    )
+    regions["gdp"] = redistribute_attribute(
+        nuts3, regions.reset_index(drop=True), "gdp"
+    )
+
+    nuts3_keys = []
+    for country, group in regions.groupby("country"):
+        factors = normed(
+            gdp_weight * normed(group["gdp"]) + pop_weight * normed(group["pop"])
+        )
+        nuts3_keys.append(factors)
+    return pd.concat(nuts3_keys).reindex(regions.index)
 
 
 def upsample_load(
     n: pypsa.Network,
     regions_fn: str,
     load_fn: str,
+    raster_fn: str,
+    gb_excel_fn: str,
+    gb_geojson_fn: str,
     nuts3_fn: str,
     distribution_key: dict[str, float],
-) -> pd.DataFrame:
-    substation_lv_i = n.buses.index[n.buses["substation_lv"]]
-    gdf_regions = gpd.read_file(regions_fn).set_index("name").reindex(substation_lv_i)
+    substation_only: bool = False,
+) -> xr.DataArray:
+    regions = gpd.read_file(regions_fn).set_index("name", drop=False).to_crs(epsg=3035)
+
+    if substation_only:
+        substation_lv_i = n.buses.index[n.buses["substation_lv"]]
+        regions = regions.reindex(substation_lv_i)
     load = pd.read_csv(load_fn, index_col=0, parse_dates=True)
 
-    nuts3 = gpd.read_file(nuts3_fn).set_index("index")
+    ea_keys = energy_atlas_distribution_keys(raster_fn, regions)
+    gb_keys = gb_distribution_keys(gb_excel_fn, gb_geojson_fn, regions)
+    nuts3_keys = nuts3_distribution_keys(nuts3_fn, distribution_key, regions)
 
-    gdp_weight = distribution_key.get("gdp", 0.6)
-    pop_weight = distribution_key.get("pop", 0.4)
+    factors = ea_keys.combine_first(gb_keys).combine_first(nuts3_keys)
+
+    # sanitize: need to renormalize since `gb_keys` only cover Great Britain
+    # and Northern Ireland is taken from `nuts3_keys`
+    if "GB" in regions.country:
+        uk_regions_i = regions.query("country == 'GB'").index
+        uk_weights = factors.loc[uk_regions_i].sum()
+        factors.loc[uk_regions_i] /= uk_weights
 
     data_arrays = []
 
-    for cntry, group in gdf_regions.geometry.groupby(gdf_regions.country):
+    for cntry, group in regions.geometry.groupby(regions.country):
         if cntry not in load.columns:
-            # TODO: Implement TYNDP load data integration and remove this
             logger.warning(f"Cannot upsample load for {cntry}: no load data defined")
             continue
 
         load_ct = load[cntry]
-
-        if len(group) == 1:
-            factors = pd.Series(1.0, index=group.index)
-
-        else:
-            nuts3_cntry = nuts3.loc[nuts3.country == cntry]
-            transfer = shapes_to_shapes(group, nuts3_cntry.geometry).T.tocsr()
-            gdp_n = pd.Series(
-                transfer.dot(nuts3_cntry["gdp"].fillna(1.0).values), index=group.index
-            )
-            pop_n = pd.Series(
-                transfer.dot(nuts3_cntry["pop"].fillna(1.0).values), index=group.index
-            )
-
-            factors = normed(gdp_weight * normed(gdp_n) + pop_weight * normed(pop_n))
+        factors_ct = factors.loc[group.index]
 
         data_arrays.append(
             xr.DataArray(
-                factors.values * load_ct.values[:, np.newaxis],
+                factors_ct.values * load_ct.values[:, np.newaxis],
                 dims=["time", "bus"],
-                coords={"time": load_ct.index.values, "bus": factors.index.values},
+                coords={"time": load_ct.index.values, "bus": factors_ct.index.values},
             )
         )
 
@@ -108,8 +241,12 @@ def upsample_load(
         n,
         regions_fn=snakemake.input.regions,
         load_fn=snakemake.input.load,
+        raster_fn=snakemake.input.raster,
+        gb_excel_fn=snakemake.input.gb_excel,
+        gb_geojson_fn=snakemake.input.gb_geojson,
         nuts3_fn=snakemake.input.nuts3,
         distribution_key=params.distribution_key,
+        substation_only=params.substation_only,
     )
 
     load.name = "electricity demand (MW)"
diff --git a/scripts/lib/validation/config/data.py b/scripts/lib/validation/config/data.py
index 7a4f34437a..ae56656912 100644
--- a/scripts/lib/validation/config/data.py
+++ b/scripts/lib/validation/config/data.py
@@ -247,6 +247,18 @@ class DataConfig(BaseModel):
         default_factory=_DataSourceConfig,
         description="JRC ARDECO data source configuration.",
     )
+    jrc_energy_atlas: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="JRC Energy Atlas data source configuration.",
+    )
+    desnz_electricity_consumption: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="DESNZ (UK Department for Energy Security and Net Zero) electricity consumption data source configuration.",
+    )
+    ons_lad: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="ONS (Office for National Statistics) Local Authority District data source configuration.",
+    )
     bidding_zones_electricitymaps: _DataSourceConfig = Field(
         default_factory=_DataSourceConfig,
         description="Electricitymaps bidding zones data source configuration.",
diff --git a/scripts/lib/validation/config/load.py b/scripts/lib/validation/config/load.py
index 13805be3af..f4819a1e71 100644
--- a/scripts/lib/validation/config/load.py
+++ b/scripts/lib/validation/config/load.py
@@ -66,6 +66,10 @@ class LoadConfig(BaseModel):
         True,
         description="Whether to supplement missing data for selected time period should be supplemented by synthetic data from `Zenodo <https://zenodo.org/records/10820928>`_.",
     )
+    substation_only: bool = Field(
+        True,
+        description="Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+    )
     distribution_key: _DistributionKeyConfig = Field(
         default_factory=_DistributionKeyConfig,
         description="Distribution key for spatially disaggregating the per-country electricity demand data.",

From 748f878899572251d57688ff27fb3ed63eebb2e5 Mon Sep 17 00:00:00 2001
From: Bobby <36541459+bobbyxng@users.noreply.github.com>
Date: Wed, 18 Feb 2026 15:13:50 +0100
Subject: [PATCH 013/105] Reverting to .pdf file ending for `plot_summary`
 (#2083)

* Reverting to .pdf file ending.

* Added release notes.

---------

Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
---
 .github/workflows/validate.yaml | 12 ++++++------
 Snakefile                       |  2 +-
 doc/release_notes.rst           |  1 +
 results/.gitkeep                |  0
 rules/postprocess.smk           |  6 +++---
 scripts/plot_summary.py         |  4 ++--
 6 files changed, 13 insertions(+), 12 deletions(-)
 delete mode 100644 results/.gitkeep

diff --git a/.github/workflows/validate.yaml b/.github/workflows/validate.yaml
index c3c29dca9a..f0af6216e2 100644
--- a/.github/workflows/validate.yaml
+++ b/.github/workflows/validate.yaml
@@ -52,11 +52,11 @@ jobs:
         # <scenario>/<plot_name>.png
         plots: >
           "
-          graphs/energy.svg
-          graphs/costs.svg
-          graphs/balances-energy.svg
-          graphs/balances-urban_central_heat.svg
-          graphs/balances-urban_decentral_heat.svg
-          graphs/balances-rural_heat.svg
+          graphs/energy.pdf
+          graphs/costs.pdf
+          graphs/balances-energy.pdf
+          graphs/balances-urban_central_heat.pdf
+          graphs/balances-urban_decentral_heat.pdf
+          graphs/balances-rural_heat.pdf
           "
         validator_key: ${{ secrets.VALIDATOR_KEY }}
diff --git a/Snakefile b/Snakefile
index 40708388f9..337f59e8a7 100644
--- a/Snakefile
+++ b/Snakefile
@@ -93,7 +93,7 @@ if config["foresight"] == "perfect":
 
 rule all:
     input:
-        expand(RESULTS + "graphs/costs.svg", run=config["run"]["name"]),
+        expand(RESULTS + "graphs/costs.pdf", run=config["run"]["name"]),
         expand(resources("maps/power-network.pdf"), run=config["run"]["name"]),
         expand(
             resources("maps/power-network-s-{clusters}.pdf"),
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 8cd736cd2c..db425dfac1 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,7 @@ Release Notes
 Upcoming Release
 ================
 
+* Reverting to .pdf file ending for graphs generated with `plot_summary` (https://github.com/PyPSA/pypsa-eur/pull/2083).
 * Bugfix: Disregard CORINE land cover data for offshore technologies since its scope is not sufficiently large and codes are already defined by offshore shapes.
 
 * Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/PyPSA/pypsa-eur/pull/2080).
diff --git a/results/.gitkeep b/results/.gitkeep
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index ed0a70e384..6fe61cd1a8 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -450,9 +450,9 @@ rule plot_summary:
         eurostat=resources("eurostat_energy_balances.csv"),
         co2=rules.retrieve_ghg_emissions.output["csv"],
     output:
-        costs=RESULTS + "graphs/costs.svg",
-        energy=RESULTS + "graphs/energy.svg",
-        balances=RESULTS + "graphs/balances-energy.svg",
+        costs=RESULTS + "graphs/costs.pdf",
+        energy=RESULTS + "graphs/energy.pdf",
+        balances=RESULTS + "graphs/balances-energy.pdf",
     threads: 2
     resources:
         mem_mb=10000,
diff --git a/scripts/plot_summary.py b/scripts/plot_summary.py
index 568e51972c..8cda4a6f02 100644
--- a/scripts/plot_summary.py
+++ b/scripts/plot_summary.py
@@ -270,7 +270,7 @@ def plot_balances():
         )
 
         fig.savefig(
-            snakemake.output.balances[:-10] + bus_carrier + ".svg", bbox_inches="tight"
+            snakemake.output.balances[:-10] + bus_carrier + ".pdf", bbox_inches="tight"
         )
         plt.close(fig)
 
@@ -482,7 +482,7 @@ def plot_carbon_budget_distribution(input_eurostat, options):
     )
 
     plt.grid(axis="y")
-    path = snakemake.output.balances.split("balances")[0] + "carbon_budget.svg"
+    path = snakemake.output.balances.split("balances")[0] + "carbon_budget.pdf"
     plt.savefig(path, bbox_inches="tight")
     plt.close()
 

From 67806b0f5e86b56a09c8312197a005e9e9853504 Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 18 Feb 2026 15:30:33 +0100
Subject: [PATCH 014/105] prepare release v2026.02.0 (#2084)

---
 CITATION.cff                             |   2 +-
 config/config.default.yaml               |   2 +-
 config/schema.default.json               |   2 +-
 doc/conf.py                              |   2 +-
 doc/release_notes.rst                    | 368 +++++++++++++----------
 scripts/lib/validation/config/_schema.py |   2 +-
 6 files changed, 214 insertions(+), 164 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 2c5beac966..0c55447a5f 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -6,7 +6,7 @@ cff-version: 1.1.0
 message: "If you use this package, please cite it in the following way."
 title: "PyPSA-Eur: An open sector-coupled optimisation model of the European energy system"
 repository: https://github.com/pypsa/pypsa-eur
-version: v2025.07.0
+version: v2026.02.0
 license: MIT
 authors:
   - family-names: Brown
diff --git a/config/config.default.yaml b/config/config.default.yaml
index f003965cb5..739cec2263 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -3,7 +3,7 @@
 # yaml-language-server: $schema=./schema.default.json
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#version
-version: v2025.07.0
+version: v2026.02.0
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#tutorial
 tutorial: false
diff --git a/config/schema.default.json b/config/schema.default.json
index ded9c4fe89..59fa6d544a 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -8012,7 +8012,7 @@
   "description": "Combined configuration schema for PyPSA-EUR.",
   "properties": {
     "version": {
-      "default": "v2025.07.0",
+      "default": "v2026.02.0",
       "description": "Version of PyPSA-Eur. Descriptive only.",
       "type": "string"
     },
diff --git a/doc/conf.py b/doc/conf.py
index db9cc6f974..4baba1b9c1 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -112,7 +112,7 @@ def setup(app):
 # built documents.
 #
 # The short X.Y version.
-version = "v2025.07.0"
+version = "v2026.02.0"
 # The full version, including alpha/beta/rc tags.
 release = version + ""
 
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index db425dfac1..28cf11ecaf 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -6,266 +6,316 @@
 Release Notes
 ##########################################
 
-Upcoming Release
-================
+.. Upcoming Release
+.. =================
 
-* Reverting to .pdf file ending for graphs generated with `plot_summary` (https://github.com/PyPSA/pypsa-eur/pull/2083).
-* Bugfix: Disregard CORINE land cover data for offshore technologies since its scope is not sufficiently large and codes are already defined by offshore shapes.
+PyPSA-Eur v2026.02.0 (18th February 2026)
+=========================================
 
-* Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/PyPSA/pypsa-eur/pull/2080).
+**Features**
 
-* Updated unit commitment parameters. Bugfix scales start-up costs with nominal power capacitiy.
+* **Updated energy balances:**
 
-* Bugfix: Rolling horizon optimisation also in :mod:`solve_network`, not only in :mod:`solve_operations_network`. Drop cyclicity constraints with setting ``rolling_horizon: true``.
+  - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
+    (https://github.com/PyPSA/pypsa-eur/pull/1976).
 
-* Bugfix: Handle CO2Stop ID columns correctly across versions.
+  - Build energy balances from Eurostat API data with new rule :mod:`build_eurostat_balances`
+    (https://github.com/PyPSA/pypsa-eur/pull/1987).
 
-* Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
+  - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
+    from SFOE website in :mod:`build_swiss_energy_balances` (https://github.com/PyPSA/pypsa-eur/pull/2057).
 
-* ``data/nuclear_p_max_pu.csv`` now stores annual energy availability factors per country with years as columns. The model automatically selects the column nearest to the simulated weather year.
-* The ``clustering: consider_efficiency_classes`` option now accepts a list of quantile boundaries (e.g. ``[0.1, 0.5, 0.9]``) in addition to a boolean. Labels are derived from quantile percentages (e.g. ``Q0``, ``Q10``, ``Q90``). The default behaviour (``true``) is unchanged, using ``[0.1, 0.9]`` quantiles.
-* Existing battery storage capacities from the powerplantmatching dataset can now be added to the network as ``StorageUnit`` components, using plant-level duration data with fallback to ``electricity: max_hours: battery`` and cost-table round-trip efficiency.
+* **Better electricity demand data:**
 
-* Adjust ``powerplants_filter`` to include power plants operational in 2025.
+  - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires ``ENTSOE_API_KEY``)
+    and NESO data portal for Great Britain and Northern Ireland (https://github.com/PyPSA/pypsa-eur/pull/1828).
 
-* Rewrite mapping of power plant sites to model regions / buses. Previously, power plants were mapped to the nearest bus in the same country.
-  Now, power plants are mapped using a spatial join to the onshore and offshore regions.
-  This change is necessary as the administrative clustering does not conform to the previous nearest-bus mapping.
+  - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
+    (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
+    (https://github.com/PyPSA/pypsa-eur/pull/1829).
 
-* Removed some outdated hotfixes in `build_powerplants.py`.
+* **Updated electricity network data:**
 
-* Estimate renewable capacities using plant-level data from Powerplantmatching, instead of only Global Energy Monitor (GEM) data. The setting ``from_gem`` is renamed to ``from_powerplantmatching``.
+  - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
+    (start_date, construction tags), and pure DC buses (switching stations).
+    Rebuilt interactive network map using PyDeck/deck.gl (https://github.com/PyPSA/pypsa-eur/pull/2052, https://github.com/PyPSA/pypsa-eur/pull/2030).
 
-* New setting ``from_irenastat`` to use IRENASTAT data to supplement potential plant-level data from Powerplantmatching for renewable capacity estimation. This step can now be skipped if sufficient plant-level data is available from Powerplantmatching.
+  - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
+    (https://github.com/PyPSA/pypsa-eur/pull/2064, https://github.com/PyPSA/pypsa-eur/pull/2054).
 
-* Update default year for renewable capacity estimation to 2024 (latest available).
+  - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
+    (https://github.com/PyPSA/pypsa-eur/pull/1646).
 
-* Include waste-to-energy plants in electricity-only networks.
+* **Improved power plants and industrial sites data:**
 
-* Add 2030 to power plant grouping years by default.
+  - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block (https://github.com/PyPSA/pypsa-eur/pull/2040).
 
-* Do not apply ``powerplantmatching`` phase-out heuristic in :mod:`build_powerplants`.
+  - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
+    ``from_gem`` to ``from_powerplantmatching``. New ``from_irenastat`` setting supplements capacity estimation
+    (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Bugfix: Ensure renewable carriers are not added as conventional power plants (if included in ``powerplants.csv``)
+  - Waste-to-energy plants now included in electricity-only networks (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Bugfix: Improved handling of grouping years in :mod:`add_existing_baseyear`.
+  - Updated GEM steel plant tracker and initial GEM cement plant tracker (https://github.com/PyPSA/pypsa-eur/pull/1830).
 
-* Added ``solving.options.store_model`` config option to store the linopy model as NetCDF file after solving. Not supported with rolling horizon. Configuration setting can not be set per scenario, only globally.
-* Update Swiss energy balances from the Swiss Federal Office of Energy (SFOE) to the latest version (October 2025).
-  The data is no longer stored in the repository, but directly retrieved from the SFOE website and processed in the ``build_swiss_energy_balances`` rule.
+* **Improved storage:**
 
-* Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025) using updated workflow.
+  - Added new storage technologies, including iron-air batteries. These can be configured as
+    either store-link combinations or standalone storage units. Implemented in both :mod:`add_electricity` and
+    :mod:`prepare_sector_network` (https://github.com/PyPSA/pypsa-eur/pull/1961).
 
-* Fix unit commitment compatibility with PyPSA ≥ 1.0 component API to allow usage of unit commitment (https://github.com/PyPSA/pypsa-eur/pull/2049).
+  - Existing battery storage capacities from Powerplantmatching can be added as ``StorageUnit`` components using
+    plant-level duration data (https://github.com/PyPSA/pypsa-eur/pull/2071).
 
-* Update energy balances from JRC-IDEES-2021 to `JRC-IDEES-2023
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC138195>`__. The
-  default reference year was changed from 2019 to 2023.
-* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec` in favour of corresponding data points from technology-data.
-* Download and process Eurostat energy balances from API. This replaces the discontinued ZIP bulk download.
+* **Updated technology parameters:**
 
-* The function `rescale_idees_from_eurostat` was removed.
+  - Added technology-data v0.13.4 to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
 
-* New rule `build_eurostat_balances` to build energy balances from Eurostat data. Outsourced from `build_energy_totals`
-* Updated CO2 emission allowance prices data source to Instrat API for real-time pricing data.
-* Improved OSM network building process (https://github.com/PyPSA/pypsa-eur/pull/2030): Introducing support for temporal attributes (start_date, construction tags) and pure DC buses (switching stations). The interactive network map has been completely rebuilt using PyDeck/deck.gl with GPU acceleration and includes custom JS controls, offering fuzzy search, clickable OSM references, URL-based view sharing (#theme/zoom/lat/lon), and substantially improved performance. Additionally, a generalised plot from https://www.nature.com/articles/s41597-025-04550-7 enables systematic comparison of network topology changes over time. Cleaned naming scheme (https://github.com/PyPSA/pypsa-eur/pull/2052).
+* **Better data, configuration and dependency management:**
 
-* Add powerplantmatching v0.8.0 to data versions.
+  - Data versions now version controlled in ``data/versions.csv`` with configurable per-scenario specifications
+    (https://github.com/PyPSA/pypsa-eur/pull/1675, https://github.com/PyPSA/pypsa-eur/pull/1963).
 
-* Add script path getter helper method to allow for rule inheritance in nested snakefiles.
+  - Use validation schema for configuration files. Schema contains default values;
+    changes to ``config/config.default.yaml`` now require schema updates
+    (https://github.com/PyPSA/pypsa-eur/pull/1912).
 
-* Include new storage technologies such as li-ion, vanadium, lfp, lair, pair and iron-air. These technologies can now be configured as either store-link combinations or standalone storage units.
-  Implemented in both `add_electricity.py` and `prepare_sector_network.py` (https://github.com/PyPSA/pypsa-eur/pull/1961).
+  - Move to Pixi for robust cross-platform dependency management (https://github.com/PyPSA/pypsa-eur/pull/1886).
 
-* Updated data sources for country-level electricity demand time series. In addition to the OPSD data (``retrieve_electricity_demand_opsd``, demand time series
-  are now downloaded via the ENTSO-E Transparency Platform API (``retrieve_electricity_demand_entsoe`` environment variable ``ENTSOE_API_KEY`` required)
-  and from the NESO data portal for Great Britain and Northern Ireland (``retrieve_electricity_demand_neso``).
-  Manual corrections and gap filling methods have been applied and checked for data until the end of 2025.
-  (https://github.com/PyPSA/pypsa-eur/pull/1828).
+* Updated CO2 emission allowance prices to use Instrat API for real-time pricing data
+  (https://github.com/PyPSA/pypsa-eur/pull/2035).
 
-* Applied scaling of kW and GW to MW for custom_costs as well (https://github.com/PyPSA/pypsa-eur/pull/2023).
+* Added CO2 emission prices configurable per planning horizon as marginal cost on ``co2 atmosphere`` Store
+  (https://github.com/PyPSA/pypsa-eur/pull/1897).
 
-* Fix wildcards error in `clean_osm_data` rule message introduced in github.com/PyPSA/pypsa-eur/pull/1846 by replacing `wildcards.country` with expanded `config["countries"]` list (https://github.com/PyPSA/pypsa-eur/pull/2022).
+* Nuclear energy availability factors now stored with annual data per country in ``data/nuclear_p_max_pu.csv``;
+  model automatically selects year nearest to weather year (https://github.com/PyPSA/pypsa-eur/pull/2072).
 
-* Fix `None` default config parameter from creating zero availability for offshore wind (#2019).
+* Added interactive HTML balance maps in ``results/maps/interactive/`` with configurable settings
+  (https://github.com/PyPSA/pypsa-eur/pull/1935).
 
-* Remove snakemake's slurm plugin from windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
+* Added ``solving.options.store_model`` config option to store the linopy model as NetCDF after solving
+  (not supported with rolling horizon) (https://github.com/PyPSA/pypsa-eur/pull/2001).
 
-* Added Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings optimized for large-scale linear programming problems.
+* Added residential heat demand-side management (DSM) based on SmartEN study methodology
+  (https://github.com/PyPSA/pypsa-eur/pull/1857).
 
-* Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
+* Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings for
+  large-scale problems (https://github.com/PyPSA/pypsa-eur/pull/2006).
+
+* ``clustering: consider_efficiency_classes`` now accepts list of quantile boundaries (e.g. ``[0.1, 0.5, 0.9]``)
+  in addition to boolean; default unchanged (https://github.com/PyPSA/pypsa-eur/pull/2075).
+
+* Added existing biomass decentral/rural residential and services heating capacity
+  (https://github.com/PyPSA/pypsa-eur/pull/1872).
+
+* Introduced method to overwrite costs via ``costs:custom_cost_fn`` for techno-economic assumptions
+  (https://github.com/PyPSA/pypsa-eur/pull/1752, https://github.com/PyPSA/pypsa-eur/pull/1879).
+
+* Added minimum unit dispatch setting option for electrolysis (https://github.com/PyPSA/pypsa-eur/pull/1859).
+
+* Added integration with OETC platform (https://github.com/PyPSA/pypsa-eur/pull/1831).
+
+**Changes**
+
+* Removed config options ``sector:MWh_MeOH_per_tCO2``, ``MWh_MeOH_per_MWh_H2``, and ``MWh_MeOH_per_MWh_elec``
+  in favour of technology-data repository values (https://github.com/PyPSA/pypsa-eur/pull/2043).
 
-* Fix virtual bus naming when building the transmission network from raw OSM data to use persistent names (https://github.com/PyPSA/pypsa-eur/pull/1956).
+* Rewritten power plant mapping to model regions/buses using spatial joins instead of nearest-bus approach.
+  Necessary due to administrative clustering conformance changes
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Fix column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
+* Setting ``from_gem`` renamed to ``from_powerplantmatching``
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Fix: capital-cost of solar-hsat did not get adjusted to current planning_horizon in myopic optimization
+* Function ``rescale_idees_from_eurostat`` removed (https://github.com/PyPSA/pypsa-eur/pull/1987).
 
-* Removed the ``secrets`` configuration section and disallow setting Gurobi license credentials (WLSACCESSID, WLSSECRET, LICENSEID) in config files to prevent accidental exposure of sensitive credentials. Use environment variables or license files instead (https://github.com/PyPSA/pypsa-eur/pull/1989).
+* Removed ``shared_cutouts`` configuration entry; cutouts always shared. Use differently named cutouts for
+  scenario-specific temporal/spatial resolution (https://github.com/PyPSA/pypsa-eur/pull/1675).
 
-* Fix ConsistencyError for Links without buses when `gas_network: true`, but no `conventional_generation` (https://github.com/PyPSA/pypsa-eur/pull/1971)
+* Cutouts relocated to ``data/cutouts/`` directory; will trigger re-download/rebuild. Move existing cutouts
+  manually if needed (https://github.com/PyPSA/pypsa-eur/pull/1675).
 
-* Fix ConsistencyError for Links without buses when `industry: true`, but no `conventional_generation` or `biomass` (https://github.com/PyPSA/pypsa-eur/pull/1971)
+* Cutout bounds must now be explicitly defined in configuration; inference from ``regions_onshore`` and
+  ``regions_offshore`` removed (https://github.com/PyPSA/pypsa-eur/pull/1675).
 
-* Fix `mock_snakemake` due to breaking `snakemake` upstream API changes, i.e., requiring passing a `LoggerManager` instance (https://github.com/PyPSA/pypsa-eur/pull/1984).
+* Cutout preparation configuration moved to nested ``prepare_kwargs`` dictionary
+  (https://github.com/PyPSA/pypsa-eur/pull/1675).
 
-* Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
+* Configuration options ``enable: retrieve``, ``enable: retrieve_databundle``, and ``enable: retrieve_cost_data``
+  removed; rules always included (https://github.com/PyPSA/pypsa-eur/pull/1675).
 
-* Important: PyPSA-Eur now uses a validation schema for configuration files. The schema
-  also contains the default values for all known configuration options, which means
-  `config/config.default.yaml` still exists and can be used, but will be automatically
-  exported from the schema. Changes to the default config, therefore now require the
-  schema to be updated. Find a detailed explanation in the contributors documentation
-  (https://github.com/PyPSA/pypsa-eur/pull/1912).
+* Removed ``secrets`` configuration section and Gurobi license credentials from config files to prevent
+  accidental exposure of sensitive data (https://github.com/PyPSA/pypsa-eur/pull/1989).
 
-* Fix bugs when using PyPSA-Eur as a Snakemake module by making sure that all file paths are defined relative to a rule's input or an output (https://github.com/PyPSA/pypsa-eur/pull/1967).
+* Configuration schema updater allowing soft-fork changes without modifying base PyPSA-Eur files
+  (https://github.com/PyPSA/pypsa-eur/pull/2056).
 
-* Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
+* Removed outdated hotfixes in :mod:`build_powerplants` (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`.
+* Updated ``powerplants_filter`` to include plants operational in 2025
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization.
+* Default year for renewable capacity estimation updated to 2024 (https://github.com/PyPSA/pypsa-eur/pull/2040).
 
-* With https://github.com/PyPSA/pypsa-eur/pull/1935, note that bus carriers for balance maps containing spaces need to be specified with underscores `_` in the configuration file, e.g., `co2_stored` instead of `co2 stored`. This is to ensure compatibility with queue managers like slurm.
+* Added 2030 to power plant grouping years by default (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Fix building osm network using overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940).
+* Disabled ``powerplantmatching`` phase-out heuristic in :mod:`build_powerplants`
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Added configuration option to set overpass API URL, maximum retries, timeout and user agent information (https://github.com/PyPSA/pypsa-eur/pull/1940 and https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api). For a list of public overpass APIs see `here <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_.
+* Applied scaling of kW and GW to MW for custom costs (https://github.com/PyPSA/pypsa-eur/pull/2023).
 
-* Refactored `solve_network.py` and `solve_operations_network.py` to separate optimization problem preparation from solving, enabling inspection of optimization problems before solve execution.
+* Refactored :mod:`solve_network` and :mod:`solve_operations_network` separating optimization problem preparation
+  from solving (https://github.com/PyPSA/pypsa-eur/pull/1956).
 
-* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`.
+* Added example configurations for rolling horizon and iterative optimization modes in ``config/examples/``
+  (https://github.com/PyPSA/pypsa-eur/pull/1902).
 
-* Added existing biomass decentral/rural residential and services heating capacity.
+* Static balance maps relocated to ``results/maps/static/`` (https://github.com/PyPSA/pypsa-eur/pull/1935).
 
-* Fix parsing in Swiss passenger cars data (https://github.com/PyPSA/pypsa-eur/pull/1934 and https://github.com/PyPSA/pypsa-eur/pull/1936).
+* Bus carriers for balance maps with spaces must use underscores in configuration for SLURM compatibility
+  (https://github.com/PyPSA/pypsa-eur/pull/1935).
 
-* Fix: ValueError with `cop_heat_pump` in `prepare_sector_network.py` if `tim_dep_hp_cop` is `false`.
+* Overpass API configuration options added (URL, retries, timeout, user agent)
+  (https://github.com/PyPSA/pypsa-eur/pull/1940).
 
-* Fixed OSM raw data cleaning to include `section` line relation role.
+* Added script path getter helper method for rule inheritance in nested snakefiles
+  (https://github.com/PyPSA/pypsa-eur/pull/1997).
 
-* Fixed missing raw OSM HVDC links defined using the ``power=circuit`` tag (NOTE: ``type=route``+``route=power`` is `deprecated <https://wiki.openstreetmap.org/wiki/Tag%3Aroute%3Dpower>`_).
+* Updated standing losses for PTES, central TTES, and decentral TTES to latest DEA technology data (v0.13.3)
+  (https://github.com/PyPSA/pypsa-eur/pull/1791).
 
-* Fixed bugs with load shedding due to incorrect use of `sign` argument in `n.add` and `np.isscalar` (https://github.com/PyPSA/pypsa-eur/pull/1908).
+* Disabled PTES dynamic capacity by default (https://github.com/PyPSA/pypsa-eur/pull/1926).
 
-* chore: disable PTES dynamic capacity by default
+* Distribution grid experimental feature: voltage levels from 63 kV to 750 kV with example configuration
+  (https://github.com/PyPSA/pypsa-eur/pull/1740).
 
-* Add CO2 emission prices configurable per planning horizon for sector-coupled models.
-  The CO2 price is added as a marginal cost on the `co2 atmosphere` Store.
+* Allow expandable CCGTs by default (https://github.com/PyPSA/pypsa-eur/pull/1796).
 
-* Add `custom storage plugin <https://github.com/PyPSA/snakemake-storage-plugin-cached-http>`_ to handle retrievals from zenodo to address recurring failures.
+* Reverted to PDF files for graphs generated with :mod:`plot_summary` (https://github.com/PyPSA/pypsa-eur/pull/2083).
 
-* Move to [pixi](https://pixi.sh/latest/) for robust cross-platform dependency management.
+* Add user-readable messages to each rule (https://github.com/PyPSA/pypsa-eur/pull/1846).
 
-* Fix: Allocate heat pump CAPEX on heat instead of electricity bus instead and remove nominal efficiency from CAPEX calculation
+* Running perfect foresight marked as unstable (https://github.com/PyPSA/pypsa-eur/pull/1853).
 
-* Fix: Configsettings for `heat_pump_cop_approximation` are now correctly passed to `CentralHeatingCopApproximator.py`
+* Empty auto-generated folders (``resources/``, ``results/``) added to repository; ``purge`` rule preserves folders
+  (https://github.com/PyPSA/pypsa-eur/pull/1764).
 
-* Fix: Allocate heat pump CAPEX on heat instead of electricity bus instead and remove nominal efficiency from CAPEX calculation
+* Improved handling of grouping years in :mod:`add_existing_baseyear`
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Fix: Configsettings for `heat_pump_cop_approximation` are now correctly passed to `CentralHeatingCopApproximator.py`
+* Automatically update DAGs in documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
 
-* Fix: Deprecation warnings from `pandas>=2.3.0` (https://github.com/PyPSA/pypsa-eur/pull/1898)
+**Bugfixes and Compatibility**
+
+* Fixed offshore wind potentials by disregarding CORINE land cover data for offshore technologies.
+
+* Increased minimum required PyPSA version to 0.33.2 (https://github.com/PyPSA/pypsa-eur/pull/1849).
+
+* Custom storage plugin for Zenodo retrievals to address recurring failures
+  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, https://github.com/PyPSA/pypsa-eur/pull/1913).
+
+* Fixed unit commitment compatibility for PyPSA v1.0 component API
+  (https://github.com/PyPSA/pypsa-eur/pull/2049).
 
-* Feature: Introduce a new method to overwrite costs (https://github.com/PyPSA/pypsa-eur/pull/1752, https://github.com/PyPSA/pypsa-eur/pull/1879). Modifications to the default techno-economic assumptions can now be configured via `costs:custom_cost_fn`, which applies changes to the `resources/costs_{planning_horizons}.csv` files. The default configuration includes minor adjustments to stabilize optimization results. The existing implementation via `costs:overwrites` and `costs:capital_cost`/`costs:marginal_cost` parameters remains available but will be deprecated in a future release.
+* Fixed rolling horizon optimisation to work in :mod:`solve_network` in addition to :mod:`solve_operations_network`;
+  drop cyclicity constraints with ``rolling_horizon: true``
+  (https://github.com/PyPSA/pypsa-eur/pull/2070).
 
-* Fixed `AttributeError` in `prepare_sector_network.py` when running sector-coupled
-  PyPSA-Eur with only one country and cluster.
-  (https://github.com/PyPSA/pypsa-eur/pull/1835)
+* Fixed unit commitment parameters scaling start-up costs with nominal power capacity
+  (https://github.com/PyPSA/pypsa-eur/pull/2080).
 
-* Added river-water and sea-water sourced heat pumps as well as interactive bus-balance plots and heat-source maps. Also introduced district heating areas in which heat sources must be located.
+* Pinned ``grpcio<1.78`` to silence cluttering warnings (https://github.com/PyPSA/pypsa-eur/pull/2080).
 
-* Added automatic retry for some (Zenodo) HTTP requests to handle transient errors
-  like rate limiting and server errors.
+* Fixed CO2Stop ID column handling across versions (https://github.com/PyPSA/pypsa-eur/pull/2077).
 
-* Fixed `ValueError` in `prepare_sector_network.py` in function `add_storage_and_grids`
-  when running with few nodes such that they are all already connected by existing gas
-  lines. (https://github.com/PyPSA/pypsa-eur/pull/1780)
+* Ensured renewable carriers not added as conventional power plants if in ``powerplants.csv``
+  (https://github.com/PyPSA/pypsa-eur/pull/2050).
 
-* Fixed `AttributeError` in `prepare_sector_network.py` when running sector-coupled
-  PyPSA-Eur with only one country. (https://github.com/PyPSA/pypsa-eur/pull/1778)
+* Fixed wildcards error in :mod:`clean_osm_data` rule message (https://github.com/PyPSA/pypsa-eur/pull/2022).
 
-* Fixed `FileNotFoundError` bugs preventing pypsa from being run as a Snakemake
-  module. The cause of this bug was that intermediate zip files in rules were being
-  saved in directories that didn't exist yet (without creating the parent directories).
-  This didn't fail when using PyPSA-Eur as a standalone module, because the directory
-  was the same as the rule's output file. However, when using PyPSA-Eur as a Snakemake
-  module, this was not the case as Snakemake prepends a prefix to all the input and
-  output files, but not to any file locations listed as parameters. The fix was to save
-  intermediate zip files at the top directory level. This was fixed for many rules in
-  `retrieve.smk`, i.e., `retrieve_eez`, `retrieve_nuts_2021_shapes`,
-  `retrieve_nuts_2013_shapes`, `retrieve_worldbank_urban_population`,
-  `retrieve_co2stop`, `download_wdpa`, `download_wdpa_marine`, `retrieve_eurostat_data`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1768)
+* Fixed ``None`` default config parameter creating zero offshore wind availability
+  (https://github.com/PyPSA/pypsa-eur/pull/2019).
 
-* Updated standing losses for PTES, central TTES, and decentral TTES, previously calculated using the ``tes_tau`` parameter, to the latest DEA technology data, and updated costs version to v0.13.3.
+* Fixed virtual bus naming in raw OSM transmission network to use persistent names
+  (https://github.com/PyPSA/pypsa-eur/pull/1956).
 
-* Introduce a new base network using TYNDP 2024 data (https://github.com/PyPSA/pypsa-eur/pull/1646). This base network can be used with `tyndp` as `base_network`. It models NTC transmission capacities between TYNDP bidding zones using unidirectional `links`. This implementation neglects KVL and is referred to as a transport model. This is consistent with the TYNDP 2024 methodology.
+* Fixed column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
 
-* Fixed missing costs name for geothermal-sourced heat pump and allowed geothermal heat pumps in test configs.
+* Fixed capital cost of ``solar-hsat`` not adjusted to current planning horizon in myopic optimization
+  (https://github.com/PyPSA/pypsa-eur/pull/1965).
 
-* Changed error handling for non-extendable heat storage in energy-to-power ratio constraints to warning.
+* Fixed ``ConsistencyError`` for Links without buses when ``gas_network: true`` but no ``conventional_generation``
+  (https://github.com/PyPSA/pypsa-eur/pull/1971).
 
-* Allow expandable CCGTs by default
+* Fixed ``ConsistencyError`` for Links without buses when ``industry: true`` but no ``conventional_generation`` or
+  ``biomass`` (https://github.com/PyPSA/pypsa-eur/pull/1971).
 
-* Updated `build_osm_network` and `clean_osm_data` to handle voltage levels below 220 kV (down to 63 kV). When `base_network` is set to `osm_raw`, an electricity grid from voltage levels AC 63 kV to 750 kV can be created (experimental feature). For an example, see the example configuration in `config/examples/config-distribution-grid-experimental.yaml`.
+* Fixed ``mock_snakemake`` due to upstream Snakemake API changes requiring ``LoggerManager`` instance
+  (https://github.com/PyPSA/pypsa-eur/pull/1984).
 
-* Fix `retrieve_eurostat_data` and `retrieve_eurostat_household_data` on Windows by avoiding a double access to a temporary file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1825)
+* Fixed compatibility with ``pyogrio>=0.12.0`` in :mod:`build_gas_input_locations` and :mod:`build_gas_network`
+  (https://github.com/PyPSA/pypsa-eur/pull/1955).
 
-* Distributing country-level electricity demand time series to subnational model
-  regions of EU countries now uses data from the `JRC Energy Atlas
-  <https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas>`__. This
-  dataset provides electricity consumption on a 1km by 1km raster for the year,
-  which is more accurate than the previous NUTS3-based distribution. Another
-  dataset is used for Great Britain from the `Department for Energy Security and
-  Net Zero
-  <https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics>`__.
-  Other non-EU countries still use NUTS3-based distribution keys from GDP and
-  population.
+* Fixed PyPSA-Eur use as Snakemake module by ensuring all file paths relative to rule inputs/outputs
+  (https://github.com/PyPSA/pypsa-eur/pull/1967).
 
-* Update GEM steel plant tracker and use initial release of GEM cement plant tracker.
+* Fixed OSM network building via Overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940).
 
-* Added integration with the OETC platform
+* Fixed parsing of Swiss passenger cars data (https://github.com/PyPSA/pypsa-eur/pull/1934, https://github.com/PyPSA/pypsa-eur/pull/1936).
 
-* Remove pinned environment files mention in the pre-commit-config-yaml (https://github.com/PyPSA/pypsa-eur/pull/1837)
+* Fixed ``ValueError`` with ``cop_heat_pump`` in :mod:`prepare_sector_network` when ``tim_dep_hp_cop`` is
+  ``false`` (https://github.com/PyPSA/pypsa-eur/pull/1929).
 
-* Add user-readable messages to each rule (https://github.com/PyPSA/pypsa-eur/pull/1846)
+* Fixed OSM raw data cleaning to include ``section`` line relation role (https://github.com/PyPSA/pypsa-eur/pull/1927).
 
-* Increase minimum required `pypsa` version to 0.33.2 (https://github.com/PyPSA/pypsa-eur/pull/1849)
+* Fixed missing raw OSM HVDC links defined using ``power=circuit`` tag (https://github.com/PyPSA/pypsa-eur/pull/1926).
 
-* Running perfect foresight is now marked as unstable and may not work as expected.
+* Fixed load shedding bugs from incorrect ``sign`` argument in ``n.add`` and ``np.isscalar``
+  (https://github.com/PyPSA/pypsa-eur/pull/1908).
 
-* Add residential heat demand-side management (DSM) based on `smartEn study <https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf>`_ methodology. See new settings under `sector: residential_heat`.
+* Fixed Eurostat data retrieval on Windows by avoiding double temporary file access
+  (https://github.com/PyPSA/pypsa-eur/pull/1825).
 
-* Remove the hotfix in `progress_retrieve` and check that the directory exists (https://github.com/PyPSA/pypsa-eur/pull/1840).
+* Fixed ``AttributeError`` in :mod:`prepare_sector_network` with single country and cluster
+  (https://github.com/PyPSA/pypsa-eur/pull/1835).
 
-* Added minimum unit dispatch setting option for electrolysis
+* Fixed ``ValueError`` in :mod:`prepare_sector_network` ``add_storage_and_grids`` with few nodes
+  (https://github.com/PyPSA/pypsa-eur/pull/1780).
 
-* Feature: All input data to the model is now version controlled. The data versions are listed in `data/versions.csv` and can be configured in the configfile. (https://github.com/PyPSA/pypsa-eur/pull/1675)
+* Fixed ``AttributeError`` in :mod:`prepare_sector_network` with single country
+  (https://github.com/PyPSA/pypsa-eur/pull/1778).
 
-* Deprecate `shared_cutouts`: This configuration entry is no longer supported. Cutouts are always shared.
-  To use scenario specific cutouts with different time or spatial resolution, make sure to name those cutouts differently in the `atlite:` configuration entry.
+* Fixed ``FileNotFoundError`` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
+  directory level in multiple ``retrieve.smk`` rules (https://github.com/PyPSA/pypsa-eur/pull/1768).
 
-* Move cutouts into `data/cutouts/` directory for consistency. Note: This will trigger all cutouts to be re-downloaded or rebuild. If you need to retain downloaded cutouts, move them manually into `data/cutouts/`.
+* Fixed heat pump CAPEX allocation to heat bus and removed nominal efficiency from CAPEX calculation
+  (https://github.com/PyPSA/pypsa-eur/pull/1748).
 
-* Deprecate the ability to determine ``cutout`` bounds based on ``regions_onshore`` and ``regions_offshore``.
-  Instead ``cutouts`` need to have their bounds explicitly defined in the configuration file.
+* Fixed heat pump COP approximation configuration passing to :mod:`CentralHeatingCopApproximator`
+  (https://github.com/PyPSA/pypsa-eur/pull/1748).
 
-* Moved configuration for ``cutout`` preparation into a nested dictionary ``prepare_kwargs``.
-  This allows to pass any keyword argument supported by ``atlite.Cutout.prepare()`` like ``tmpdir``.
+* Fixed ``pandas>=2.3.0`` deprecation warnings (https://github.com/PyPSA/pypsa-eur/pull/1898).
 
-* Deprecate the configuration options ``enable: retrieve``, ``enable: retrieve_databundle``, and ``enable: retrieve_cost_data``.
-  Instead, the rules are always included in the workflow. If no internet connection is available, the rules will fail.
+* Fixed WDPA links on Windows (https://github.com/PyPSA/pypsa-eur/pull/2008).
 
-* Misc: Empty folders that are automatically generated by ``snakemake`` have been added to the repository, e.g. ``resources/`` and ``results/``.
-  The ``purge`` rule now removes their contents but keeps the folders (https://github.com/PyPSA/pypsa-eur/pull/1764).
+* Fixed WDPA and WDPA Marine data download and extraction (https://github.com/PyPSA/pypsa-eur/issues/2005).
 
-* Misc: Automatically update the DAGs shown in the documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
+* Added automatic retry for Zenodo HTTP requests to handle transient errors
+  (https://github.com/PyPSA/pypsa-eur/pull/1861).
+
+* Fixed missing cost name for geothermal-sourced heat pump and allowed in test configs
+  (https://github.com/PyPSA/pypsa-eur/pull/1766).
+
+* Changed error handling for non-extendable heat storage energy-to-power ratio constraints to warning
+  (https://github.com/PyPSA/pypsa-eur/pull/1769).
+
+* Removed snakemake SLURM plugin from Windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
+
+* Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
 
-* Fix the WDPA links to function on Windows (https://github.com/PyPSA/pypsa-eur/pull/2008).
+* Removed pinned environment files mention from pre-commit-config-yaml (https://github.com/PyPSA/pypsa-eur/pull/1837).
 
-* Fix: An issue with the download and extraction of WDPA and WDPA Marine data (https://github.com/PyPSA/pypsa-eur/issues/2005).
 
 PyPSA-Eur v2025.07.0 (11th July 2025)
 =====================================
diff --git a/scripts/lib/validation/config/_schema.py b/scripts/lib/validation/config/_schema.py
index bd30409099..15e3543424 100644
--- a/scripts/lib/validation/config/_schema.py
+++ b/scripts/lib/validation/config/_schema.py
@@ -82,7 +82,7 @@ class ConfigSchema(BaseModel):
 
     # Top-level fields (from TopLevelConfig)
     version: str = Field(
-        "v2025.07.0", description="Version of PyPSA-Eur. Descriptive only."
+        "v2026.02.0", description="Version of PyPSA-Eur. Descriptive only."
     )
     tutorial: bool = Field(
         False,

From 2a06802b0fca2c9e1500a10212494bbcc6fbeb80 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 18 Feb 2026 14:59:44 +0000
Subject: [PATCH 015/105] Update locked environment files for all platforms
 (#2082)

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
---
 envs/default_linux-64.pin.txt  |   8 +-
 envs/default_osx-64.pin.txt    | 154 +++++++++++++++++----------------
 envs/default_osx-arm64.pin.txt |   8 +-
 envs/default_win-64.pin.txt    |   8 +-
 envs/environment.yaml          |   3 +-
 5 files changed, 95 insertions(+), 86 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 528abd621c..83837e0165 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -187,6 +187,10 @@ https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c
 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda#d551bd1d2fcfac36674dbe2be4b0a410
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.2-py313h77f6078_2.conda#42d11c7d1ac21ae2085f58353641e71c
 https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.21.0-pyhcf101f3_1.conda#a0811eb1142b4da29162d1931922a1ec
+https://conda.anaconda.org/conda-forge/linux-64/simplejson-3.20.2-py313h07c4f96_1.conda#1cc1de04373b633177f4d367b8b75270
+https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda#6e550dd748e9ac9b2925411684e076a1
+https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py313hae45665_6.conda#5817b2e9b067dca0dc2dced6e941bbee
+https://conda.anaconda.org/conda-forge/noarch/rasterstats-0.20.0-pyhd8ed1ab_2.conda#a6762dbfc4cf7084adf09f0accdf0f8a
 https://conda.anaconda.org/conda-forge/noarch/pyxlsb-1.0.10-pyhd8ed1ab_0.tar.bz2#0c14e44bc93a99cdc11398311c3c0dcf
 https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda#083725d6cd3dc007f06d04bcf1e613a2
 https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.12.1-default_hafda6a7_1003.conda#4fe840c6d6b3719b4231ed89d389bb17
@@ -208,7 +212,6 @@ https://conda.anaconda.org/conda-forge/linux-64/ipopt-3.14.19-h0804adb_0.conda#0
 https://conda.anaconda.org/conda-forge/linux-64/scip-10.0.1-hd8b5c82_0.conda#094a988812a7a5ab41324116d5e9a33a
 https://conda.anaconda.org/conda-forge/linux-64/pyscipopt-6.1.0-np2py313h73dcb5b_0.conda#ddb2f8a6e10340cbab3606896c69d537
 https://conda.anaconda.org/conda-forge/noarch/validators-0.35.0-pyhd8ed1ab_0.conda#3449ef730c7d483adde81993994092b9
-https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda#6e550dd748e9ac9b2925411684e076a1
 https://conda.anaconda.org/conda-forge/noarch/patsy-1.0.2-pyhcf101f3_0.conda#8678577a52161cc4e1c93fcc18e8a646
 https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.14.6-py313h29aa505_0.conda#13a3e9edeef521461cb8d47fa855e353
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
@@ -590,7 +593,6 @@ https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.con
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda#341fc61cfe8efa5c72d24db56c776f44
 https://conda.anaconda.org/conda-forge/linux-64/glpk-5.0-h445213a_0.tar.bz2#efc4b0c33bdf47312ad5a8a0587fa653
 https://conda.anaconda.org/conda-forge/noarch/geojson-3.2.0-pyhd8ed1ab_0.conda#9f9840fb1c2e009fb0009a2f9461e64a
-https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py313hae45665_6.conda#5817b2e9b067dca0dc2dced6e941bbee
 https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda#4a25cae637029c5589135903aa15b3b6
 https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.1.2-py313h7037e92_1.conda#cd1cfde0ea3bca6c805c73ffa988b12a
 https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda#5498feb783ab29db6ca8845f68fa0f03
@@ -602,7 +604,7 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
 https://conda.anaconda.org/conda-forge/linux-64/h5py-3.15.1-nompi_py313h253c126_101.conda#5d90c98527ecc832287115d57c121062
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda#25cffdcbebbe85f62a0ba31b1bae5911
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.51-pyhd8ed1ab_0.conda#f2350b60476eeafb5d044603a9bb0018
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda#65465c189c38fc262c009faa98825cea
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 2aff7b45eb..04c5afde5e 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -6,17 +6,18 @@ https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-hd23fc13_2.conda#003
 https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.13-h7142dee_3.conda#6e6efb7463f8cef69dbcb4c2205bf60e
 https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h0622a9a_3.conda#ced34dd9929f491ca6dab6a2927aff25
 https://conda.anaconda.org/conda-forge/osx-64/readline-8.3-h68b038d_0.conda#eefd65452dfe7cce476a519bece46704
+https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda#bddacf101bb4dd0e51811cb69c7790e2
 https://conda.anaconda.org/conda-forge/osx-64/openssl-3.6.1-hb6871ef_1.conda#30bb8d08b99b9a7600d39efb3559fff0
 https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.51.2-hb99441e_0.conda#d910105ce2b14dfb2b32e92ec7653420
+https://conda.anaconda.org/conda-forge/osx-64/libmpdec-4.0.0-hf3981d6_1.conda#ec88ba8a245855935b871a7324373105
 https://conda.anaconda.org/conda-forge/osx-64/liblzma-5.8.2-h11316ed_0.conda#688a0c3d57fa118b9c97bf7e471ab46c
 https://conda.anaconda.org/conda-forge/osx-64/libffi-3.5.2-hd1f9c09_0.conda#66a0dc7464927d0853b590b6f53ba3ea
 https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.7.4-h991f03e_0.conda#a684eb8a19b2aa68fde0267df172a1e3
 https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h500dc9f_9.conda#4173ac3b19ec0a4f400b4f782910368b
-https://conda.anaconda.org/conda-forge/osx-64/python-3.12.12-h74c2667_2_cpython.conda#64f6c57fd1d23500084194c740da395e
+https://conda.anaconda.org/conda-forge/osx-64/python-3.13.12-h894a449_100_cp313.conda#99b1fa1fe8a8ab58224969f4568aadca
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
-https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3efd25ac4d74b1584d2f7a57195ddf1
 https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-21.1.8-h472b3d1_0.conda#e2d811e9f464dd67398b4ce1f9c7c872
 https://conda.anaconda.org/conda-forge/osx-64/_openmp_mutex-4.5-7_kmp_llvm.conda#eaac87c21aff3ed21ad9656697bb8326
 https://conda.anaconda.org/conda-forge/osx-64/libgcc-15.2.0-h08519bb_18.conda#9a5cb96e43f5c2296690186e15b3296f
@@ -27,28 +28,28 @@ https://conda.anaconda.org/conda-forge/osx-64/libblas-3.11.0-5_he492b99_openblas
 https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.11.0-5_h859234e_openblas.conda#eb5b1c25d4ac30813a6ca950a58710d6
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-https://conda.anaconda.org/conda-forge/osx-64/numpy-2.4.2-py312hb34da66_1.conda#c06b511affcf74a79b1852ae7b722035
-https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py312ha20b133_1.conda#9ab1af443bf4a42fd14a2baf21e394b9
+https://conda.anaconda.org/conda-forge/osx-64/numpy-2.4.2-py313hf1665ba_1.conda#cff600662a8355987c574be24d68998b
+https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.0-py313h2bd7e7a_1.conda#076afc646e5b800ab4adece0310795db
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.0-pyh332efcf_0.conda#1d00d46c634177fc8ede8b99d6089239
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
-https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.8.0-np2py312h47bbdc5_1.conda#9c037f2050f55c721704013b87c9724e
+https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.8.0-np2py313he2891f2_1.conda#f650ee53b81fcb9ab2d9433f071c6682
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-https://conda.anaconda.org/conda-forge/osx-64/pyomo-6.9.5-py312h69bf00f_0.conda#b10048620718b2a9d5da308d8676c609
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-https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda#2b661fd7a718757b2e91bbcac81deb48
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-https://conda.anaconda.org/conda-forge/osx-64/cffi-2.0.0-py312he90777b_1.conda#cf70c8244e7ceda7e00b1881ad7697a9
-https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py312h01f6755_1.conda#d9209ec6445f95fba0c3c64fa4a46216
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-https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py312h2f459f6_1.conda#a92e23c22f481e7c8bc5d2dc551c101d
+https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.17.3-py313h585f44e_1.conda#765dc9b39fc2d62e1351c3a26e316607
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 9b692eba61..93e5ba836e 100644
--- a/envs/default_osx-arm64.pin.txt
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 https://conda.anaconda.org/conda-forge/osx-arm64/glpk-5.0-h6d7a090_0.tar.bz2#02b868940101a06a6365c109ab1a94fe
 https://conda.anaconda.org/conda-forge/noarch/geojson-3.2.0-pyhd8ed1ab_0.conda#9f9840fb1c2e009fb0009a2f9461e64a
-https://conda.anaconda.org/conda-forge/osx-arm64/fiona-1.10.1-py313h7df67bf_6.conda#dc81b108af52deb655ea85f9b745f7e2
 https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda#4a25cae637029c5589135903aa15b3b6
 https://conda.anaconda.org/conda-forge/osx-arm64/msgpack-python-1.1.2-py313ha61f8ec_1.conda#78bc73f3c5e84b432cdea463ea4e953e
 https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda#5498feb783ab29db6ca8845f68fa0f03
@@ -540,7 +542,7 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
 https://conda.anaconda.org/conda-forge/osx-arm64/h5py-3.15.1-nompi_py313h7aa1c8b_101.conda#af275e004ef52480fccdde18f4bdcd12
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda#25cffdcbebbe85f62a0ba31b1bae5911
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.51-pyhd8ed1ab_0.conda#f2350b60476eeafb5d044603a9bb0018
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda#65465c189c38fc262c009faa98825cea
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 29728f2719..07800879b9 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -176,6 +176,10 @@ https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c
 https://conda.anaconda.org/conda-forge/win-64/rasterio-1.5.0-py313h1ced589_0.conda#05a494f768c611dd1ba42ead4556e453
 https://conda.anaconda.org/conda-forge/win-64/pyproj-3.7.2-py313h24787ba_2.conda#b0093312a3b115bd033e74aa92bea3a1
 https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.21.0-pyhcf101f3_1.conda#a0811eb1142b4da29162d1931922a1ec
+https://conda.anaconda.org/conda-forge/win-64/simplejson-3.20.2-py313h5ea7bf4_1.conda#bcdc4785e018f4325845f8217333a17e
+https://conda.anaconda.org/conda-forge/win-64/shapely-2.1.2-py313h64ccc5a_2.conda#89e833ece06dd9d0c0a46d74d1125bf6
+https://conda.anaconda.org/conda-forge/win-64/fiona-1.10.1-py313h8b19803_6.conda#c048daef67f2a62c12200e6c4f1ad688
+https://conda.anaconda.org/conda-forge/noarch/rasterstats-0.20.0-pyhd8ed1ab_2.conda#a6762dbfc4cf7084adf09f0accdf0f8a
 https://conda.anaconda.org/conda-forge/noarch/pyxlsb-1.0.10-pyhd8ed1ab_0.tar.bz2#0c14e44bc93a99cdc11398311c3c0dcf
 https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.2.1-pyhcf101f3_0.conda#083725d6cd3dc007f06d04bcf1e613a2
 https://conda.anaconda.org/conda-forge/win-64/libgomp-15.2.0-h8ee18e1_18.conda#939fb173e2a4d4e980ef689e99b35223
@@ -191,7 +195,6 @@ https://conda.anaconda.org/conda-forge/win-64/ipopt-3.14.19-he5a0f77_2.conda#513
 https://conda.anaconda.org/conda-forge/win-64/scip-10.0.1-h6f1fe5b_0.conda#2316a278ca8b0c52a7a083b7465757e5
 https://conda.anaconda.org/conda-forge/win-64/pyscipopt-6.1.0-np2py313h776c0ec_0.conda#9d08f3d89b1d716787c99de326a2c112
 https://conda.anaconda.org/conda-forge/noarch/validators-0.35.0-pyhd8ed1ab_0.conda#3449ef730c7d483adde81993994092b9
-https://conda.anaconda.org/conda-forge/win-64/shapely-2.1.2-py313h64ccc5a_2.conda#89e833ece06dd9d0c0a46d74d1125bf6
 https://conda.anaconda.org/conda-forge/noarch/patsy-1.0.2-pyhcf101f3_0.conda#8678577a52161cc4e1c93fcc18e8a646
 https://conda.anaconda.org/conda-forge/win-64/statsmodels-0.14.6-py313h0591002_0.conda#5523b262bcc2cf8116d32a86db503d53
 https://conda.anaconda.org/conda-forge/win-64/qhull-2020.2-hc790b64_5.conda#854fbdff64b572b5c0b470f334d34c11
@@ -521,7 +524,6 @@ https://conda.anaconda.org/conda-forge/win-64/getopt-win32-0.1-h6a83c73_3.conda#
 https://conda.anaconda.org/conda-forge/win-64/graphviz-14.1.2-h4c50273_0.conda#afabed4c46b197b89eb974aa038d12db
 https://conda.anaconda.org/conda-forge/win-64/glpk-5.0-h8ffe710_0.tar.bz2#ff4181250d91940494d3127243a9d858
 https://conda.anaconda.org/conda-forge/noarch/geojson-3.2.0-pyhd8ed1ab_0.conda#9f9840fb1c2e009fb0009a2f9461e64a
-https://conda.anaconda.org/conda-forge/win-64/fiona-1.10.1-py313h8b19803_6.conda#c048daef67f2a62c12200e6c4f1ad688
 https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda#4a25cae637029c5589135903aa15b3b6
 https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.1.2-py313hf069bd2_1.conda#0013c110d17d569ce560b7fae6aee0d3
 https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda#5498feb783ab29db6ca8845f68fa0f03
@@ -533,7 +535,7 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
 https://conda.anaconda.org/conda-forge/win-64/h5py-3.15.1-nompi_py313hf7f959b_101.conda#29bcfb479b3030e2c190f53058b9a345
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.50-pyhd8ed1ab_0.conda#25cffdcbebbe85f62a0ba31b1bae5911
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.42.51-pyhd8ed1ab_0.conda#f2350b60476eeafb5d044603a9bb0018
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.16.0-pyhd8ed1ab_0.conda#061b5affcffeef245d60ec3007d1effd
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.42.50-pyhd8ed1ab_0.conda#65465c189c38fc262c009faa98825cea
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda#9a005ba5f540619a1343587b4ee3d95e
diff --git a/envs/environment.yaml b/envs/environment.yaml
index 113dac3767..81c87059c2 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -50,6 +50,7 @@ dependencies:
 - pytz >=2025.2
 - pyxlsb >=1.0.10
 - rasterio >=1.4.3
+- rasterstats >=0.10.3
 - rioxarray >=0.20.0
 - ruff >=0.14.3
 - ruamel.yaml >=0.18.0
@@ -70,5 +71,5 @@ dependencies:
 - natsort >=8.4.0
 - snakemake-logger-plugin-pypsa >=0.1.0
 - pydeflate >=2.3.4
-- grpcio <1.78 # Hot fix for https://github.com/PyPSA/linopy/issues/587
+- grpcio <1.78
 - snakemake-executor-plugin-slurm >=1.9.2

From 99ec2d9509ad2ee53f7562588595e35da3d557f7 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Wed, 18 Feb 2026 19:14:33 +0100
Subject: [PATCH 016/105] ci: always run integration tests on workflow_dispatch
 trigger (#2085)

---
 .github/workflows/test.yaml | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 85ed088bd4..4143e3b62d 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -82,11 +82,11 @@ jobs:
         df -h
 
     - name: Skip - no source changes
-      if: steps.filter.outputs.src != 'true' && github.event_name != 'schedule'
+      if: steps.filter.outputs.src != 'true' && github.event_name != 'schedule' && github.event_name != 'workflow_dispatch'
       run: echo "Skipping tests because no source code changes detected"
 
     - name: Setup Pixi
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       uses: prefix-dev/setup-pixi@v0.9.4
       with:
         pixi-version: v0.59.0
@@ -94,36 +94,36 @@ jobs:
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
 
     - name: Setup cache keys
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       run: |
         echo "WEEK=$(date +'%Y%U')" >> $GITHUB_ENV # data
         echo "MONTH=$(date +'%Y%m')" >> $GITHUB_ENV # cutouts
         echo "VERSIONS_HASH=${{ hashFiles('data/versions.csv') }}" >> $GITHUB_ENV
 
     - uses: actions/cache@v5
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       with:
         path: data
         key: data-${{ env.WEEK }}-${{ env.VERSIONS_HASH }}
 
     - uses: actions/cache@v5
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       with:
         path: cutouts
         key: cutouts-${{ env.MONTH }}
 
     - name: Restore git-tracked files in data/
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       run: git checkout HEAD -- data/
 
     - name: Run pylint check on scripts
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       # check for undefined variables to reuse functions across scripts
       run: |
         pixi run pylint --disable=all --enable=E0601,E0606 --output-format=parseable scripts/add_* scripts/prepare_* scripts/solve_*
 
     - name: Run snakemake test workflows
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       env:
         SNAKEMAKE_STORAGE_CACHED_HTTP_CACHE: ""
         SNAKEMAKE_STORAGE_CACHED_HTTP_SKIP_REMOTE_CHECKS: "1"

From d6383ebf602767b1adbb676fe8a16e37a6e9f932 Mon Sep 17 00:00:00 2001
From: lkstrp <62255395+lkstrp@users.noreply.github.com>
Date: Thu, 19 Feb 2026 07:42:01 +0000
Subject: [PATCH 017/105] [github-actions.ci] prepare release v2026.02.0

---
 doc/img/intro-workflow.png | Bin 384183 -> 488106 bytes
 doc/img/workflow.png       | Bin 726494 -> 1144562 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/doc/img/intro-workflow.png b/doc/img/intro-workflow.png
index 6d0b2b60700ab0132a82d9cff6c1ccc199f2658a..5859e2bc821c058b591e0bf9485f24d2c60ff644 100644
GIT binary patch
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From ec5a93b99e1c52bc7ca01367e97bcf9e215ca8b7 Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Fri, 20 Feb 2026 14:46:08 +0000
Subject: [PATCH 018/105] Allow overwriting docs URL; select correct default
 config in test (#2087)

* Allow overwriting docs URL; select correct default config in test

* Minor fixes

* Generalise pre-commit config file exclusion
---
 .pre-commit-config.yaml                   |  2 +-
 doc/validation_dev.rst                    |  9 +++++++++
 scripts/lib/validation/config/__init__.py |  6 +++++-
 scripts/lib/validation/config/_base.py    | 12 ++++++++++++
 scripts/lib/validation/config/_schema.py  |  3 +++
 test/test_config_schema.py                | 23 +++++++++++++++++++----
 6 files changed, 49 insertions(+), 6 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 73d2bd72f0..83334d47a7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
-exclude: "^LICENSES|^config/schema\\.json$|^config/config\\.default\\.yaml$"
+exclude: "^LICENSES|^config/schema\\.default[\\.]*.*\\.json$|^config/config\\.default[\\.]*.*\\.yaml$"
 
 ci:
   autoupdate_schedule: quarterly
diff --git a/doc/validation_dev.rst b/doc/validation_dev.rst
index 81a871bebe..ee246d3f3f 100644
--- a/doc/validation_dev.rst
+++ b/doc/validation_dev.rst
@@ -195,6 +195,7 @@ In the below example, two updates are made to the default config.
 
     class ClusteringConfigUpdater(ConfigUpdater):
         name: str = "update_clustering"
+        docs_url: str | None = None # no attempt will be made at updating the URL.
 
         def update(self) -> type[ConfigSchema]:
             # To update and existing config item, we need it's most recent state, as defined in `self.base_config`
@@ -222,6 +223,7 @@ In the below example, two updates are made to the default config.
 
     class NewConfigItem(ConfigUpdater):
         name: str = "new_section"
+        docs_url: str | None = "https://my-own-docs.readthedocs.org/config.html#{field_name}"
 
         def update(self) -> type[ConfigSchema]:
             new_schema = self._apply_updates(
@@ -243,6 +245,13 @@ This is sufficient for both updates to be imported.
     you would now generate ``config/config.default.update_clustering.new_section.yaml``.
     To override the base ``config/config.default.yaml``, you can set the ``name`` property of your updater classes to empty strings: ``""``.
 
+.. admonition:: Docs URL
+
+    The generated default config file will reference a documentation URL above every top-level key.
+    When using updating with your own config schema, you may well want to also refer to your own documentation.
+    You can set the ``docs_url`` property to refer to a different URL to the default (which is the PyPSA-Eur documentation).
+    Any reference to ``{field_name}`` in the string will be formatted to the top-level key above which the URL comment is being placed in the config, to allow for fine-grained references.
+
 .. admonition:: Chaining updates
 
     Several separate update scripts can exist and be used to create chained updates of the schema.
diff --git a/scripts/lib/validation/config/__init__.py b/scripts/lib/validation/config/__init__.py
index 4257752a97..39cbde81de 100644
--- a/scripts/lib/validation/config/__init__.py
+++ b/scripts/lib/validation/config/__init__.py
@@ -23,13 +23,17 @@ def validate_config(config: dict) -> ConfigSchema:
     """Validate config dict against schema."""
     config_schema = ConfigSchema
     name = config_schema._name.default
+    docs_url = config_schema._docs_url.default
     for item in _registry:
         updater_config = item(config_schema)
         config_schema = updater_config.update()
+        if updater_config.docs_url is not None:
+            docs_url = updater_config.docs_url
         if updater_config.name:
             name += f".{updater_config.name}"
     validated_config = config_schema(**config)
     validated_config._name = name
+    validated_config._docs_url = docs_url
     return validated_config
 
 
@@ -77,7 +81,7 @@ def str_representer(dumper, data):
         data[key] = value
 
         field_name = convert_to_field_name(key)
-        docs_url = f"https://pypsa-eur.readthedocs.io/en/latest/configuration.html#{field_name}"
+        docs_url = config._docs_url.format(field_name=field_name)
         data.yaml_set_comment_before_after_key(key, before=f"\ndocs in {docs_url}")
 
     # Write to file
diff --git a/scripts/lib/validation/config/_base.py b/scripts/lib/validation/config/_base.py
index fcdad15207..20b3bff94b 100644
--- a/scripts/lib/validation/config/_base.py
+++ b/scripts/lib/validation/config/_base.py
@@ -66,6 +66,18 @@ def name(self) -> str:
         `config.default.<prior-update-names>.{self.name}.<post-update-names>.yaml`
         """
 
+    @property
+    @abstractmethod
+    def docs_url(self) -> str | None:
+        """
+        Docs URL for custom config.
+        If not None, this URL will be used in the generated config file to link to documentation for each top-level key in the custom config.
+
+        You can use `{field_name}` as a formatting placeholder in the URL, which will be replaced with the actual field name for each key, e.g.:
+
+        `https://pypsa-eur.readthedocs.io/en/latest/configuration.html#{field_name}`
+        """
+
     @abstractmethod
     def update(self) -> type["ConfigSchema"]:
         """Function in which the custom config schema is created and returned."""
diff --git a/scripts/lib/validation/config/_schema.py b/scripts/lib/validation/config/_schema.py
index 15e3543424..5adb8665f0 100644
--- a/scripts/lib/validation/config/_schema.py
+++ b/scripts/lib/validation/config/_schema.py
@@ -79,6 +79,9 @@ class ConfigSchema(BaseModel):
 
     _name: str = "default"
     """internal attribute to track the config filename following the application of config updates"""
+    _docs_url: str = (
+        "https://pypsa-eur.readthedocs.io/en/latest/configuration.html#{field_name}"
+    )
 
     # Top-level fields (from TopLevelConfig)
     version: str = Field(
diff --git a/test/test_config_schema.py b/test/test_config_schema.py
index 91f363a2e6..4c62420c81 100644
--- a/test/test_config_schema.py
+++ b/test/test_config_schema.py
@@ -13,9 +13,24 @@
 from scripts.lib.validation.config import (
     generate_config_defaults,
     generate_config_schema,
+    validate_config,
 )
 
 
+@pytest.fixture(scope="module")
+def config_file():
+    config = validate_config({})
+    config_filename = Path(f"config/config.{config._name}.yaml")
+    return config_filename
+
+
+@pytest.fixture(scope="module")
+def schema_file():
+    config = validate_config({})
+    schema_filename = Path(f"config/schema.{config._name}.json")
+    return schema_filename
+
+
 def _check_file_in_sync(existing_path: Path, generate_func, file_type: str):
     """Check if a file is in sync with the generated content."""
     assert existing_path.exists(), f"{existing_path} does not exist"
@@ -52,21 +67,21 @@ def _check_file_in_sync(existing_path: Path, generate_func, file_type: str):
         )
 
 
-def test_config_default_yaml_in_sync():
+def test_config_default_yaml_in_sync(config_file):
     """Test that config/config.default.yaml is in sync with Pydantic schema."""
 
     _check_file_in_sync(
-        Path("config/config.default.yaml"),
+        config_file,
         generate_config_defaults,
         "yaml",
     )
 
 
-def test_config_schema_json_in_sync():
+def test_config_schema_json_in_sync(schema_file):
     """Test that config/schema.default.json is in sync with Pydantic schema."""
 
     _check_file_in_sync(
-        Path("config/schema.default.json"),
+        schema_file,
         generate_config_schema,
         "json",
     )

From a1b452fb3a6eed922a455c459d625694cd5a9694 Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Fri, 20 Feb 2026 16:10:09 +0100
Subject: [PATCH 019/105] Link release badge to documentation (#2089)

* Link release badge to documentation

I already caught myself several times clicking the release badge and expecting to get to the docs of that version. Now it should work

* Link to stable instead of specific relewase

* update release badge link; move docs badge
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index e6ae154103..34a8be490a 100644
--- a/README.md
+++ b/README.md
@@ -3,9 +3,9 @@ SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pyps
 SPDX-License-Identifier: CC-BY-4.0
 -->
 
-![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/pypsa/pypsa-eur?include_prereleases)
-[![Test workflows](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml/badge.svg)](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml)
+[![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/pypsa/pypsa-eur?include_prereleases)](https://github.com/PyPSA/pypsa-eur/releases)
 [![Documentation](https://readthedocs.org/projects/pypsa-eur/badge/?version=latest)](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
+[![Test workflows](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml/badge.svg)](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml)
 ![Size](https://img.shields.io/github/repo-size/pypsa/pypsa-eur)
 [![Zenodo PyPSA-Eur](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
 [![Zenodo PyPSA-Eur-Sec](https://zenodo.org/badge/DOI/10.5281/zenodo.3938042.svg)](https://doi.org/10.5281/zenodo.3938042)

From 7b973052829d5a48b4abe2fa9889dc7f94231abf Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Tue, 24 Feb 2026 09:50:20 +0100
Subject: [PATCH 020/105] fix: don't mutate config in cluster_network (#2091)

---
 scripts/cluster_network.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/cluster_network.py b/scripts/cluster_network.py
index d4abf9ba06..9eb9bd2fdf 100644
--- a/scripts/cluster_network.py
+++ b/scripts/cluster_network.py
@@ -409,9 +409,9 @@ def clustering_for_n_clusters(
     if aggregation_strategies is None:
         aggregation_strategies = dict()
 
-    line_strategies = aggregation_strategies.get("lines", dict())
+    line_strategies = dict(aggregation_strategies.get("lines", {}))
 
-    bus_strategies = aggregation_strategies.get("buses", dict())
+    bus_strategies = dict(aggregation_strategies.get("buses", {}))
     bus_strategies.setdefault("substation_lv", lambda x: bool(x.sum()))
     bus_strategies.setdefault("substation_off", lambda x: bool(x.sum()))
 

From e25007541cc61c28cc01d4598f234c53c28343f2 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Tue, 24 Feb 2026 12:57:58 +0100
Subject: [PATCH 021/105] build: use /workspace as dev-env container workdir
 (#2095)

---
 .github/workflows/push-images.yaml | 4 ++--
 docker/dev-env/Dockerfile          | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/push-images.yaml b/.github/workflows/push-images.yaml
index 6f1acb0957..79d6ea4a1c 100644
--- a/.github/workflows/push-images.yaml
+++ b/.github/workflows/push-images.yaml
@@ -18,9 +18,9 @@ jobs:
       with:
         fetch-depth: 0
 
-    - name: 'Get last commit that changed pixi env'
+    - name: 'Get last commit that changed pixi env or Dockerfile'
       run: |
-        hash_last_changed=$(git log -1 --pretty=format:%H -- pixi.toml pixi.lock)
+        hash_last_changed=$(git log -1 --pretty=format:%H -- pixi.toml pixi.lock docker/dev-env/Dockerfile)
         echo "hash_last_changed=$hash_last_changed" >> $GITHUB_ENV
 
     - name: 'Login to GitHub Container Registry'
diff --git a/docker/dev-env/Dockerfile b/docker/dev-env/Dockerfile
index 0f0419943e..79d46507e4 100644
--- a/docker/dev-env/Dockerfile
+++ b/docker/dev-env/Dockerfile
@@ -12,7 +12,7 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends bash git && \
     rm -rf /var/lib/apt/lists/*
 
-WORKDIR /pypsa-eur
+WORKDIR /workspace
 
 COPY pixi.toml pixi.lock ./
 

From abb20689641ff83638c3d0c337958cc14fec0fa3 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 24 Feb 2026 16:23:57 +0100
Subject: [PATCH 022/105] fix: lower the lower bound for power grouping years
 (#2097)

* fix: lower the lower bound for power grouping years

* doc: add release note
---
 config/config.default.yaml                           | 2 +-
 doc/release_notes.rst                                | 2 ++
 scripts/lib/validation/config/existing_capacities.py | 2 +-
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 739cec2263..1eee9d0145 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -582,7 +582,7 @@ solar_thermal:
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#existing_capacities
 existing_capacities:
   grouping_years_power:
-  - 1920
+  - 1900
   - 1950
   - 1955
   - 1960
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 28cf11ecaf..f4deeec727 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 .. Upcoming Release
 .. =================
 
+* Fix: Lower the lower bound used to group the power plants in ``add_existing_baseyear`` (https://github.com/PyPSA/pypsa-eur/pull/2097). This now includes all power plants built since 1900.
+
 PyPSA-Eur v2026.02.0 (18th February 2026)
 =========================================
 
diff --git a/scripts/lib/validation/config/existing_capacities.py b/scripts/lib/validation/config/existing_capacities.py
index b98419ff38..cc39f84103 100644
--- a/scripts/lib/validation/config/existing_capacities.py
+++ b/scripts/lib/validation/config/existing_capacities.py
@@ -18,7 +18,7 @@ class ExistingCapacitiesConfig(ConfigModel):
 
     grouping_years_power: list[int] = Field(
         default_factory=lambda: [
-            1920,
+            1900,
             1950,
             1955,
             1960,

From 90b464d417eae2319edbc42384a10adfd5aba5d4 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 24 Feb 2026 16:24:39 +0100
Subject: [PATCH 023/105] chore: remove duplicated OCGT in test config files
 (#2094)

---
 config/test/config.myopic.yaml    | 2 +-
 config/test/config.overnight.yaml | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/config/test/config.myopic.yaml b/config/test/config.myopic.yaml
index 86887bec6b..e76df5a395 100644
--- a/config/test/config.myopic.yaml
+++ b/config/test/config.myopic.yaml
@@ -68,7 +68,7 @@ sector:
 
 electricity:
   extendable_carriers:
-    Generator: [OCGT, solar, onwind, OCGT, CCGT, nuclear]
+    Generator: [solar, onwind, OCGT, CCGT, nuclear]
     StorageUnit: [battery]
     Store: [H2]
     Link: [H2 pipeline]
diff --git a/config/test/config.overnight.yaml b/config/test/config.overnight.yaml
index af763f070f..f2ba5209e5 100644
--- a/config/test/config.overnight.yaml
+++ b/config/test/config.overnight.yaml
@@ -29,7 +29,7 @@ snapshots:
 electricity:
 
   extendable_carriers:
-    Generator: [OCGT, solar, onwind, OCGT, CCGT, nuclear]
+    Generator: [solar, onwind, OCGT, CCGT, nuclear]
     StorageUnit: [battery]
     Store: [H2]
     Link: [H2 pipeline]

From 025c72f1311339a28847a2fc4c0bf980978c182b Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 24 Feb 2026 17:07:22 +0100
Subject: [PATCH 024/105] chore: remove duplicated OCGT in test config files
 (#2094)


From 18f8c810b63c5b8e3728378d96a47df7299ec9c4 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Tue, 24 Feb 2026 17:10:56 +0100
Subject: [PATCH 025/105] build: install pixi env persistent with auto-symlink
 entrypoint (#2098)

---
 docker/dev-env/Dockerfile | 21 ++++++++++-----------
 1 file changed, 10 insertions(+), 11 deletions(-)

diff --git a/docker/dev-env/Dockerfile b/docker/dev-env/Dockerfile
index 79d46507e4..0dabfd7150 100644
--- a/docker/dev-env/Dockerfile
+++ b/docker/dev-env/Dockerfile
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: CC0-1.0
 
-FROM ghcr.io/prefix-dev/pixi:0.63.2 AS build
+FROM ghcr.io/prefix-dev/pixi:0.63.2
 
 LABEL org.opencontainers.image.source=https://github.com/PyPSA/pypsa-eur
 
@@ -12,17 +12,16 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends bash git && \
     rm -rf /var/lib/apt/lists/*
 
-WORKDIR /workspace
-
-COPY pixi.toml pixi.lock ./
+# Install pixi env at /opt/pixi-env (allow for bind mounts)
+COPY pixi.toml pixi.lock /opt/pixi-env/
+RUN cd /opt/pixi-env && pixi install -e default && pixi clean cache --yes
 
-RUN pixi install -e default && pixi clean cache --yes
-RUN pixi shell-hook -e default > /shell-hook.sh
+WORKDIR /workspace
 
-# extend the shell-hook script to run the command passed to the container
-RUN echo 'exec "$@"' >> /shell-hook.sh
+# Link pre-installed pixi env into workspace, activate environment and run command
+RUN echo '[ ! -e /workspace/.pixi ] && ln -s /opt/pixi-env/.pixi /workspace/.pixi' > /entrypoint.sh && \
+    pixi shell-hook -e default --manifest-path /opt/pixi-env/pixi.toml >> /entrypoint.sh && \
+    echo 'exec "$@"' >> /entrypoint.sh
 
-# set the entrypoint to the shell-hook script (activate the environment and run the command)
-# no more pixi needed in the prod container
-ENTRYPOINT ["/bin/bash", "/shell-hook.sh"]
+ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]
 CMD ["bash"]

From b01251720161dd35b8bdbe4481c316266e0f8608 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Wed, 25 Feb 2026 13:42:38 +0100
Subject: [PATCH 026/105] refactor: use scripts path provider consistently
 (#2093)

* refactor: use scripts path provider

* doc: add release note

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 doc/release_notes.rst       | 2 ++
 rules/build_electricity.smk | 8 ++++----
 rules/build_sector.smk      | 2 +-
 rules/development.smk       | 8 ++++----
 4 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index f4deeec727..276c9b1470 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -9,6 +9,8 @@ Release Notes
 .. Upcoming Release
 .. =================
 
+* refactor: Use scripts path provider consistently (https://github.com/PyPSA/pypsa-eur/pull/2093).
+
 * Fix: Lower the lower bound used to group the power plants in ``add_existing_baseyear`` (https://github.com/PyPSA/pypsa-eur/pull/2097). This now includes all power plants built since 1900.
 
 PyPSA-Eur v2026.02.0 (18th February 2026)
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index f5b67a3403..8739972001 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -402,7 +402,7 @@ rule build_co2_prices:
     resources:
         mem_mb=5000,
     script:
-        "../scripts/build_co2_prices.py"
+        scripts("build_co2_prices.py")
 
 
 rule build_fossil_fuel_prices:
@@ -922,7 +922,7 @@ rule clean_osm_data:
     resources:
         mem_mb=4000,
     script:
-        "../scripts/clean_osm_data.py"
+        scripts("clean_osm_data.py")
 
 
 rule build_osm_network:
@@ -964,7 +964,7 @@ rule build_osm_network:
     resources:
         mem_mb=4000,
     script:
-        "../scripts/build_osm_network.py"
+        scripts("build_osm_network.py")
 
 
 rule build_tyndp_network:
@@ -997,4 +997,4 @@ rule build_tyndp_network:
     resources:
         mem_mb=4000,
     script:
-        "../scripts/build_tyndp_network.py"
+        scripts("build_tyndp_network.py")
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 72c7756aa5..45c35281ac 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -795,7 +795,7 @@ rule build_eurostat_balances:
     benchmark:
         benchmarks("build_eurostat_balances")
     script:
-        "../scripts/build_eurostat_balances.py"
+        scripts("build_eurostat_balances.py")
 
 
 rule build_swiss_energy_balances:
diff --git a/rules/development.smk b/rules/development.smk
index 5bec303215..a3800c6e3a 100644
--- a/rules/development.smk
+++ b/rules/development.smk
@@ -34,7 +34,7 @@ rule base_network_incumbent:
     resources:
         mem_mb=2000,
     script:
-        "../scripts/base_network.py"
+        scripts("base_network.py")
 
 
 rule make_network_comparison:
@@ -62,7 +62,7 @@ rule make_network_comparison:
     resources:
         mem_mb=2000,
     script:
-        "../scripts/make_network_comparison.py"
+        scripts("make_network_comparison.py")
 
 
 rule prepare_osm_network_release:
@@ -92,7 +92,7 @@ rule prepare_osm_network_release:
     resources:
         mem_mb=1000,
     script:
-        "../scripts/prepare_osm_network_release.py"
+        scripts("prepare_osm_network_release.py")
 
 
 rule map_incumbent:
@@ -115,7 +115,7 @@ rule map_incumbent:
     resources:
         mem_mb=1000,
     script:
-        "../scripts/prepare_osm_network_release.py"
+        scripts("prepare_osm_network_release.py")
 
 
 rule osm_release:

From 4a3906e5a259a845cd4ff8ea4d8edaed301402c0 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Wed, 25 Feb 2026 15:33:27 +0100
Subject: [PATCH 027/105] feat: setup pypsa-bot github app (#2099)

* feat: set up pypsa-bot

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* trigger env change

* another one

* now authorized

* [pypsa-bot] update sync-locks

- `pixi run sync-locks`

* trigger

* [pypsa-bot] update sync-locks

- `pixi run sync-locks`

* test config schema trigger

* [pypsa-bot] update sync-locks & generate-config

- `pixi run sync-locks`
- `pixi run generate-config`

* test full new deps solve

* [pypsa-bot] update sync-locks & generate-config

- `pixi run sync-locks`
- `pixi run generate-config`

* Revert "test config schema trigger"

This reverts commit 7e6eb23fae742ac818f3671e8f9f044ffd3b7694.

* Revert "test full new deps solve"

This reverts commit 11d16bc9b7f7ed60a0a4e79f83974aa8c2ef706e.

* [pypsa-bot] update sync-locks

- `pixi run sync-locks`

* empty trigger after fix

* [pypsa-bot] run `sync-locks` & `generate-config`

- `pixi run sync-locks`
- `pixi run generate-config`

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: pypsa[bot] <994572+pypsa[bot]@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 .github/pypsa-bot.yml                  | 17 ++++++
 .github/workflows/update-lockfile.yaml | 38 +++-----------
 envs/default_osx-64.pin.txt            |  2 +-
 envs/default_osx-arm64.pin.txt         |  2 +-
 envs/default_win-64.pin.txt            |  2 +-
 pixi.lock                              | 71 +++++++++++++++++++++++---
 pixi.toml                              |  7 +++
 7 files changed, 98 insertions(+), 41 deletions(-)
 create mode 100644 .github/pypsa-bot.yml

diff --git a/.github/pypsa-bot.yml b/.github/pypsa-bot.yml
new file mode 100644
index 0000000000..6c9cf4fda4
--- /dev/null
+++ b/.github/pypsa-bot.yml
@@ -0,0 +1,17 @@
+tasks:
+  sync-locks:
+    triggers:
+    - "pixi.toml"
+    - "pixi.lock"
+    stage:
+    - "pixi.lock"
+    - "envs/"
+
+  generate-config:
+    triggers:
+    - "scripts/lib/validation/config/**"
+    stage:
+    - "config/"
+    - "doc/"
+    - "*.yaml"
+    - "*.yml"
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 56342220b1..0f7b55e8f1 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -1,14 +1,11 @@
 name: Update locked envs
 on:
-  push:
-    paths:
-    - pixi.toml
   schedule:
   - cron: "0 8 1,16 * *" # Bi-weekly
   workflow_dispatch:
 
 jobs:
-  update-locked-environment:
+  update-lockfiles:
     if: ${{ github.ref == 'refs/heads/master' }}
     name: Update lockfiles
     runs-on: ubuntu-latest
@@ -23,37 +20,14 @@ jobs:
       with:
         pixi-version: v0.59.0
 
-    - name: Update lockfile
+    - name: Full resolve
       run: |
         rm pixi.lock
         pixi install --all
 
-    - name: Create new conda lock files
-      run: |
-        pixi workspace export conda-explicit-spec -e default envs
-        for f in envs/*_conda_spec*; do mv "$f" "${f/_conda_spec/.pin}"; done
-
-    - name: Create new conda environment file
-      run: |
-        pixi workspace export conda-environment -e default envs/environment.yaml -n pypsa-eur
-
-    - name: Upload artifacts
-      uses: actions/upload-artifact@v6
-      with:
-        name: lockfiles
-        path: |
-          pixi.lock
-          envs/
-
-  create-pull-request:
-    needs: update-locked-environment
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v6
-    - name: Download all artifacts
-      uses: actions/download-artifact@v7
-      with:
-        name: lockfiles
+    - name: Export conda environment files
+      if: ${{ !vars.PYPSA_BOT_ID }}
+      run: pixi run sync-locks
 
     - name: Create Pull Request
       uses: peter-evans/create-pull-request@v8
@@ -64,5 +38,5 @@ jobs:
         body: |
           Automatically generated PR to update the pixi lockfile.
 
-          **Note: Do not merge without manual test execution. Either update the branch to trigger tests, or use `workflow_dispatch` to run tests manually. Unlike standard PRs, tests will not run automatically.**
+          **Note: Do not merge without manual test execution, unless pypsa-bot has already exported the environment files and triggered tests.**
         commit-message: "Update locked environment files for all platforms"
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 04c5afde5e..7b1f4a3145 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -564,7 +564,7 @@ https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda#0b8
 https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.2-pyhcf101f3_0.conda#f438bd6e7ce6b4d442789f77d3fc7818
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/osx-64/jasper-4.2.8-h9ce442b_0.conda#155c61380cc98685f4d6237cb19c5f97
-https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.45.0-hef68630_0.conda#c2d8f6d37131139dbaeba869b036b9cb
+https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.46.0-ha961110_0.conda#57155fbc8bcf8ca83b670f29163639e9
 https://conda.anaconda.org/conda-forge/osx-64/python-eccodes-2.45.0-np2py313h7488b0a_1.conda#c1ad796bc2195d11df1627a51d08e32d
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 93e5ba836e..f2aff92a9a 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -564,7 +564,7 @@ https://conda.anaconda.org/conda-forge/noarch/bokeh-3.8.2-pyhd8ed1ab_0.conda#0b8
 https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.2-pyhcf101f3_0.conda#f438bd6e7ce6b4d442789f77d3fc7818
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/osx-arm64/jasper-4.2.8-hc0e5025_0.conda#54d2328b8db98729ab21f60a4aba9f7c
-https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.45.0-h768f3a7_0.conda#73c9f89679eb90386f2787e7681e95b7
+https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.46.0-h768f3a7_0.conda#a3a6aa5eb19e85c456ad3bc7b98777af
 https://conda.anaconda.org/conda-forge/osx-arm64/python-eccodes-2.45.0-np2py313h2962dae_1.conda#043a00e5b0a49bb00f3431ec1a0941d0
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 07800879b9..69dc5a94d1 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -558,7 +558,7 @@ https://conda.anaconda.org/conda-forge/noarch/dask-2026.1.2-pyhcf101f3_0.conda#f
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/win-64/freeglut-3.2.2-he0c23c2_3.conda#5872031ef7cba8435ff24af056777473
 https://conda.anaconda.org/conda-forge/win-64/jasper-4.2.8-h8ad263b_0.conda#f25a27d9c58ef3a63173f372edef0639
-https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda#d2813976958e0066e083e5e7f8e3480e
+https://conda.anaconda.org/conda-forge/win-64/eccodes-2.46.0-h2bffdaa_0.conda#b67461a22f04b331bffd046bcfa4c7ac
 https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.45.0-np2py313haacffc7_1.conda#82fe43e13ca2ca5efc8251da86362acf
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
 https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
diff --git a/pixi.lock b/pixi.lock
index 5ccb9a0402..54ba24a801 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -754,7 +756,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.45.0-hef68630_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.46.0-ha961110_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -1325,7 +1327,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.45.0-h768f3a7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.46.0-h768f3a7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -1894,7 +1896,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.4.0-hac47afa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.46.0-h2bffdaa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -2353,6 +2355,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -3853,6 +3857,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -4602,7 +4608,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.45.0-hef68630_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.46.0-ha961110_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -5173,7 +5179,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.45.0-h768f3a7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.46.0-h768f3a7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -5742,7 +5748,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.4.0-hac47afa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.46.0-h2bffdaa_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
@@ -11312,6 +11318,24 @@ packages:
   license_family: Apache
   size: 5266558
   timestamp: 1768916550349
+- conda: https://conda.anaconda.org/conda-forge/osx-64/eccodes-2.46.0-ha961110_0.conda
+  sha256: c076a600b5906d07d0901cd0c81f9d3eb65534ec5d26b99bdfdfd3c86430c97c
+  md5: 57155fbc8bcf8ca83b670f29163639e9
+  depends:
+  - __osx >=11.0
+  - hdf5 >=1.14.6,<1.14.7.0a0
+  - jasper >=4.2.8,<5.0a0
+  - libaec >=1.1.5,<2.0a0
+  - libcxx >=19
+  - libgfortran
+  - libgfortran5 >=14.3.0
+  - libnetcdf >=4.9.3,<4.9.4.0a0
+  - libpng >=1.6.55,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  license: Apache-2.0
+  license_family: Apache
+  size: 5302605
+  timestamp: 1772015279277
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.45.0-h768f3a7_0.conda
   sha256: 378ed51575fe268f90704663b7fcb5f80f7c77865d46d0643124546225773d00
   md5: 73c9f89679eb90386f2787e7681e95b7
@@ -11330,6 +11354,24 @@ packages:
   license_family: Apache
   size: 5142958
   timestamp: 1768915692443
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.46.0-h768f3a7_0.conda
+  sha256: 3184ed7ad2647931d398e82ec6f675df027a29fa0f5da8cc33c5924076f97092
+  md5: a3a6aa5eb19e85c456ad3bc7b98777af
+  depends:
+  - __osx >=11.0
+  - hdf5 >=1.14.6,<1.14.7.0a0
+  - jasper >=4.2.8,<5.0a0
+  - libaec >=1.1.5,<2.0a0
+  - libcxx >=19
+  - libgfortran
+  - libgfortran5 >=14.3.0
+  - libnetcdf >=4.9.3,<4.9.4.0a0
+  - libpng >=1.6.55,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  license: Apache-2.0
+  license_family: Apache
+  size: 5330368
+  timestamp: 1772015392178
 - conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.45.0-h2bffdaa_0.conda
   sha256: 4ae454952c781a542e165fd332f0123da775128b3730130a65601daaa6294969
   md5: d2813976958e0066e083e5e7f8e3480e
@@ -11347,6 +11389,23 @@ packages:
   license_family: Apache
   size: 2325273
   timestamp: 1768914992523
+- conda: https://conda.anaconda.org/conda-forge/win-64/eccodes-2.46.0-h2bffdaa_0.conda
+  sha256: dfc2b7cc01741eb7575b29e915b760146167fd65ef2f98fad513f60ce6c8cc76
+  md5: b67461a22f04b331bffd046bcfa4c7ac
+  depends:
+  - hdf5 >=1.14.6,<1.14.7.0a0
+  - jasper >=4.2.8,<5.0a0
+  - libaec >=1.1.5,<2.0a0
+  - libnetcdf >=4.9.3,<4.9.4.0a0
+  - libpng >=1.6.55,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  size: 2293154
+  timestamp: 1772014569543
 - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
   sha256: c9e08781d043ab18ea83d2523a17d0bd763ae01274fb854c3024f2fee27aaecf
   md5: d957f10f516dcdeb9e382c91d771df12
diff --git a/pixi.toml b/pixi.toml
index 626aa79dc2..8db09824e1 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -35,6 +35,13 @@ update-dags = """
 
 generate-config = "python -c 'from scripts.lib.validation.config import generate_config_defaults, generate_config_schema; generate_config_defaults(); generate_config_schema()'"
 
+sync-locks = """
+    pixi install -e default && \
+    pixi workspace export conda-explicit-spec -e default envs && \
+    bash -c 'for f in envs/*_conda_spec*; do mv "$f" "${f/_conda_spec/.pin}"; done' && \
+    pixi workspace export conda-environment -e default envs/environment.yaml -n pypsa-eur
+"""
+
 [dependencies]
 atlite = ">=0.3"
 bokeh = ">=3.8.0"

From 34204dd9b54c790c331149ab638afb9be9f32421 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Thu, 26 Feb 2026 11:48:15 +0100
Subject: [PATCH 028/105] fix: validator config (#2102)

---
 config/test/config.validator.yaml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/config/test/config.validator.yaml b/config/test/config.validator.yaml
index 87dfe63774..48c1fc88c0 100644
--- a/config/test/config.validator.yaml
+++ b/config/test/config.validator.yaml
@@ -12,5 +12,4 @@ run:
 
 clustering:
   temporal:
-    resolution_elec: 365H
     resolution_sector: 365H

From 5f62639ac889e7b8f7846436eea94c3a6e3b9baf Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Fri, 27 Feb 2026 11:12:42 +0100
Subject: [PATCH 029/105] Update industry reference year to 2023 (#2103)

* switch to latest version of nitrogen statistics

* update industry reference year

* add release note

* add to archive

* [pypsa-bot] run `generate-config`

- `pixi run generate-config`

* increment index years

---------

Co-authored-by: lkstrp <lkstrp@pm.me>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 config/config.default.yaml                | 2 +-
 config/schema.default.json                | 4 ++--
 data/versions.csv                         | 7 ++++---
 doc/release_notes.rst                     | 1 +
 scripts/build_ammonia_production.py       | 2 +-
 scripts/lib/validation/config/industry.py | 2 +-
 6 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 1eee9d0145..ea95ad6d58 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1061,7 +1061,7 @@ industry:
   MWh_CH4_per_tMeOH: 10.25
   MWh_MeOH_per_tMeOH: 5.528
   hotmaps_locate_missing: false
-  reference_year: 2019
+  reference_year: 2023
   oil_refining_emissions: 0.013
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
diff --git a/config/schema.default.json b/config/schema.default.json
index 59fa6d544a..220d3874ea 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -2615,7 +2615,7 @@
           "type": "boolean"
         },
         "reference_year": {
-          "default": 2019,
+          "default": 2023,
           "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
           "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
           "type": "integer"
@@ -11589,7 +11589,7 @@
           "type": "boolean"
         },
         "reference_year": {
-          "default": 2019,
+          "default": 2023,
           "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
           "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
           "type": "integer"
diff --git a/data/versions.csv b/data/versions.csv
index e4ebd18957..4cf11f88cf 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -101,9 +101,10 @@ natura,2025-08-15,primary,latest supported,2025-12-02,,https://zenodo.org/record
 natura,2025-08-15,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/natura/2025-08-15/natura.tiff
 neso_electricity_demand,unknown,build,latest supported,2026-02-02,,https://www.neso.energy/data-portal/historic-demand-data
 neso_electricity_demand,2026-02-02,archive,latest supported,2026-02-03,,https://data.pypsa.org/workflows/eur/neso_electricity_demand/2026-02-02/electricity_demand_neso_raw.csv
-nitrogen_statistics,2023,primary,not-tested,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx
-nitrogen_statistics,2022,primary,latest supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
-nitrogen_statistics,2022,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
+nitrogen_statistics,2023,primary,latest supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx
+nitrogen_statistics,2023,archive,latest supported,2026-02-26,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2023/myb1-2023-nitro-ERT.xlsx
+nitrogen_statistics,2022,primary,supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
+nitrogen_statistics,2022,archive,supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
 nuts3_population,13-03-2025,primary,latest supported,2025-12-02,,https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true
 nuts3_population,13-03-2025,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
 ons_lad,may-2024,primary,latest supported,2026-02-02,API request used,https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Authority_Districts_May_2024_Boundaries__UK_BSC/FeatureServer/0/query
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 276c9b1470..0f5a9325df 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,6 +8,7 @@ Release Notes
 
 .. Upcoming Release
 .. =================
+* The industry reference year and the ammonia production data have been updated to 2023 (https://github.com/PyPSA/pypsa-eur/pull/2103) 
 
 * refactor: Use scripts path provider consistently (https://github.com/PyPSA/pypsa-eur/pull/2093).
 
diff --git a/scripts/build_ammonia_production.py b/scripts/build_ammonia_production.py
index 056181b32b..b6a50b76fb 100644
--- a/scripts/build_ammonia_production.py
+++ b/scripts/build_ammonia_production.py
@@ -44,7 +44,7 @@
 
     ammonia.index = cc.convert(ammonia.index, to="iso2")
 
-    years = [str(i) for i in range(2018, 2023)]
+    years = [str(i) for i in range(2019, 2024)]
 
     ammonia = ammonia.rename(columns=lambda x: str(x))[years]
 
diff --git a/scripts/lib/validation/config/industry.py b/scripts/lib/validation/config/industry.py
index 4919c6b737..a09c9ba816 100644
--- a/scripts/lib/validation/config/industry.py
+++ b/scripts/lib/validation/config/industry.py
@@ -201,7 +201,7 @@ class IndustryConfig(ConfigModel):
         description="Locate industrial sites without valid locations based on city and countries.",
     )
     reference_year: int = Field(
-        2019,
+        2023,
         description="The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
     )
     oil_refining_emissions: float = Field(

From ad107713dffe49b126bf1b5b80c3227fc2f82d23 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 2 Mar 2026 08:49:25 +0100
Subject: [PATCH 030/105] [github-actions.ci] Update locked envs (#2110)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |  121 +-
 envs/default_osx-64.pin.txt    |   95 +-
 envs/default_osx-arm64.pin.txt |   91 +-
 envs/default_win-64.pin.txt    |   85 +-
 pixi.lock                      | 2931 +++++++++++++++++---------------
 5 files changed, 1793 insertions(+), 1530 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 83837e0165..237f23e2dc 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -10,7 +10,7 @@ https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.con
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
-https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda#bddacf101bb4dd0e51811cb69c7790e2
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda#4492fd26db29495f0ba23f146cd5638d
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.1-h35e630c_1.conda#f61eb8cd60ff9057122a3d338b99c00f
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
@@ -33,12 +33,15 @@ https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openbl
 https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda#b38076eb5c8e40d0106beda6f95d7609
 https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda#6636a2b6f1a87572df2970d3ebc87cc0
 https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.2-py313hf6604e3_1.conda#ca9c6ba4beac38cb3d0a85afde27f94c
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.0-py313h4b8bb8b_1.conda#2b18fe5b4b2d1611ddf8c2f080a46563
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py313h4b8bb8b_0.conda#ec81bc03787968decae6765c7f61b7cf
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.0-pyh332efcf_0.conda#1d00d46c634177fc8ede8b99d6089239
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
 https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py313h16d504d_1.conda#d43a148434f123b3e060780d84a05ddc
 https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_3.conda#fd5062942bfa1b0bd5e0d2a4397b099e
 https://conda.anaconda.org/conda-forge/linux-64/pyomo-6.9.5-py313h7033f15_0.conda#920a5ce9078a275fc0313ee3717fd268
+https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda#58335b26c38bf4a20f399384c33cbcf9
+https://conda.anaconda.org/conda-forge/noarch/narwhals-2.17.0-pyhcf101f3_0.conda#538f3a813e0805c7e3f037603f12a400
+https://conda.anaconda.org/conda-forge/noarch/plotly-6.5.2-pyhd8ed1ab_0.conda#7702bcd70891dd0154d765a69e1afa94
 https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda#bc8e3267d44011051f2eb14d22fb0960
 https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.3-pyhd8ed1ab_0.conda#7ead57407430ba33f681738905278d03
 https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda#3339e3b65d58accf4ca4fb8748ab16b3
@@ -46,7 +49,7 @@ https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01
 https://conda.anaconda.org/conda-forge/linux-64/pandas-2.3.3-py313h08cd8bf_2.conda#8a69ea71fdd37bfe42a28f0967dbb75a
 https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda#a2c1eeadae7a309daed9d62c96012a2b
 https://conda.anaconda.org/conda-forge/linux-64/highspy-1.13.1-np2py313h73dcb5b_0.conda#df8affd8e4be7451214b4e5e8c7071a8
-https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda#ed5f5e0cbc50f05631813b0d48021de1
+https://conda.anaconda.org/conda-forge/noarch/tsam-3.1.1-pyhd8ed1ab_0.conda#e4621f30f3a3619e3cc7b68e94600acc
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@@ -604,9 +605,9 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 7b1f4a3145..c0a354f8cd 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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@@ -26,15 +26,18 @@ https://conda.anaconda.org/conda-forge/osx-64/libgfortran-15.2.0-h7e5c614_18.con
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index f2aff92a9a..7f5cb051f1 100644
--- a/envs/default_osx-arm64.pin.txt
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@@ -542,9 +543,9 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
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@@ -558,10 +559,10 @@ https://conda.anaconda.org/conda-forge/osx-arm64/lz4-4.4.5-py313hd065f0a_1.conda
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 69dc5a94d1..a3189f45fe 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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@@ -25,12 +25,15 @@ https://conda.anaconda.org/conda-forge/win-64/libblas-3.11.0-7_h6c93730_netlib.c
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@@ -38,7 +41,7 @@ https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01
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@@ -47,12 +50,11 @@ https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f
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@@ -88,7 +90,7 @@ https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins
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diff --git a/pixi.lock b/pixi.lock
index 54ba24a801..445041cac3 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,8 +5,6 @@ environments:
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     - url: https://conda.anaconda.org/bioconda/
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-- conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.24.2-pyhd8ed1ab_0.conda
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   license: Unlicense
-  size: 24639
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   - libzlib >=1.3.1,<2.0a0
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+  license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/fontconfig-2.17.1-h7a4440b_0.conda
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   - libzlib >=1.3.1,<2.0a0
   license: MIT
+  license_family: MIT
   size: 237866
   timestamp: 1771382969241
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fontconfig-2.17.1-h2b252f5_0.conda
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   - libzlib >=1.3.1,<2.0a0
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+  license_family: MIT
   size: 237308
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 - conda: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.17.1-hd47e2ca_0.conda
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   - vc14_runtime >=14.44.35208
   license: MIT
+  license_family: MIT
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   timestamp: 1771382820659
 - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
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-  md5: e3bcef76c3ecb25823c503ce11783d85
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   - liblzma >=5.8.2,<6.0a0
-  - libpng >=1.6.54,<1.7.0a0
+  - libpng >=1.6.55,<1.7.0a0
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   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/gdk-pixbuf-2.44.5-h49d54ea_0.conda
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+  - __osx >=11.0
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+  - libpng >=1.6.55,<1.7.0a0
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   license: LGPL-2.1-or-later
   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/gdk-pixbuf-2.44.5-h5a2fd1c_0.conda
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+  - libpng >=1.6.55,<1.7.0a0
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   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.86.4-hf516916_0.conda
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   - libffi
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+  - libglib 2.86.4 h6548e54_1
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-  md5: 0f1383d5427e74ff79d89b2d6bf8a979
+- conda: https://conda.anaconda.org/conda-forge/osx-64/glib-tools-2.86.4-h8501676_1.conda
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   license: LGPL-2.1-or-later
-  size: 182997
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-- conda: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.29.0-pyhd8ed1ab_0.conda
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   - python >=3.10
-  - requests >=2.18.0,<3.0.0
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   license: Apache-2.0
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@@ -13452,6 +13545,31 @@ packages:
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   size: 4916900
   timestamp: 1743405835449
+- conda: https://conda.anaconda.org/conda-forge/osx-64/gtk3-3.24.43-hf2d442a_7.conda
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+  - fribidi >=1.0.16,<2.0a0
+  - gdk-pixbuf >=2.44.5,<3.0a0
+  - glib-tools
+  - harfbuzz >=12.3.2
+  - hicolor-icon-theme
+  - libexpat >=2.7.4,<3.0a0
+  - libfreetype >=2.14.1
+  - libfreetype6 >=2.14.1
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+  - libintl >=0.25.1,<1.0a0
+  - liblzma >=5.8.2,<6.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pango >=1.56.4,<2.0a0
+  license: LGPL-2.0-or-later
+  license_family: LGPL
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gtk3-3.24.43-h07173f4_5.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/gtk3-3.24.43-h5febe37_6.conda
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   license: CECILL-C
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+  - apache-arrow-proc * cpu
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   license_family: LGPL
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   - libclang13 >=21.1.8
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+  - libfreetype >=2.14.1
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   - libjpeg-turbo >=3.1.2,<4.0a0
-  - libpng >=1.6.54,<1.7.0a0
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   - libtiff >=4.7.1,<4.8.0a0
-  - libvulkan-loader >=1.4.328.1,<2.0a0
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   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.1-h40fa522_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.2-h40fa522_0.conda
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+  size: 22251
+  timestamp: 1771594084558
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda
   sha256: 03571ed180ee205fbf74e3c5607f1f88cd161016d9ad86eb2036212bc5db7bdd
   md5: 1a318ca1376d0cd58aa85e3857b08520
@@ -30223,16 +30485,17 @@ packages:
   license_family: MIT
   size: 10339
   timestamp: 1734359694686
-- conda: https://conda.anaconda.org/conda-forge/win-64/symlink-exe-runtime-1.0-hfd05255_1.conda
-  sha256: b0bed04bef902b8537cc5a3b41501addfec2fc6f707d034fffff36414d9687aa
-  md5: 618cda283f0ad106ef59af3d490e885e
+- conda: https://conda.anaconda.org/conda-forge/win-64/symlink-exe-runtime-1.0-hfd05255_2.conda
+  sha256: 25a7eaad98aabe1f4f137ecac53cb45de881cc88d399738f95278f0449f97c28
+  md5: 2f96340000d8b3957ecb0978cfed0486
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
-  size: 13277
-  timestamp: 1771408906803
+  license_family: BSD
+  size: 13317
+  timestamp: 1771438096132
 - conda: https://conda.anaconda.org/conda-forge/noarch/tableschema-to-template-0.0.13-pyhd8ed1ab_1.conda
   sha256: 0b06ad1f856103728a98c8307f1e49c8f272b6ab05e5b042c641cb794a1bfaf2
   md5: 44bbc578da0d9d6b2f511a9280984fa1
@@ -30667,22 +30930,6 @@ packages:
   license_family: BSD
   size: 110051
   timestamp: 1733367480074
-- conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda
-  sha256: 24e1d43f26349ac8a4201e390996476fcd1b32d7ca946649db46468f6d54c0ea
-  md5: ed5f5e0cbc50f05631813b0d48021de1
-  depends:
-  - highspy
-  - networkx
-  - numpy >=1.11.0
-  - pandas >=0.18.1,<3.0
-  - pyomo >=6.4.3
-  - python >3.0
-  - scikit-learn >=0.0
-  - tqdm
-  license: MIT
-  license_family: MIT
-  size: 1700511
-  timestamp: 1722931441174
 - conda: https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda
   sha256: 50d0a8492b45e26d6ac373086f1490916fc8a14346c51f617746931e2a1516ed
   md5: 2b661fd7a718757b2e91bbcac81deb48
@@ -30699,9 +30946,26 @@ packages:
   license_family: MIT
   size: 220388
   timestamp: 1750060333624
-- conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.5.0-pyhd8ed1ab_0.conda
-  sha256: 821e23d73e12e99ee5c722120b2c4cf164191adb56fb96a96bd725b2d60d9b10
-  md5: b514a7bd078dcb4520a1aea4d14c5a3a
+- conda: https://conda.anaconda.org/conda-forge/noarch/tsam-3.1.1-pyhd8ed1ab_0.conda
+  sha256: 3c853d9f99b1db6b764eedf3bc54b31f5cfe0f66f7d142fbccc37b27d2006d06
+  md5: e4621f30f3a3619e3cc7b68e94600acc
+  depends:
+  - highspy >=1.7.2,<=1.13.1
+  - networkx >=2.5,<=3.6.1
+  - numpy >=1.22.4,<=2.4.2
+  - pandas >=2.2.0,<=3.0.1
+  - plotly >=5.0.0
+  - pyomo >=6.4.3,<=6.9.5
+  - python >=3.10,<=3.14
+  - scikit-learn >=1.3.0,<=1.8.0
+  - tqdm >=4.21.0,<=4.67.3
+  license: MIT
+  license_family: MIT
+  size: 2460307
+  timestamp: 1771858887057
+- conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.5.1-pyhd8ed1ab_0.conda
+  sha256: 39d8ae33c43cdb8f771373e149b0b4fae5a08960ac58dcca95b2f1642bb17448
+  md5: 260af1b0a94f719de76b4e14094e9a3b
   depends:
   - importlib-metadata >=3.6
   - python >=3.10
@@ -30711,8 +30975,8 @@ packages:
   - pytest >=7
   license: MIT
   license_family: MIT
-  size: 37088
-  timestamp: 1771119690965
+  size: 36838
+  timestamp: 1771532971545
 - conda: https://conda.anaconda.org/conda-forge/noarch/typer-0.23.1-pyhcf101f3_0.conda
   sha256: d89149cbb4244e4a0aa0f836a4f75b1e4c26e8e33bcda041f91b67e193b40c68
   md5: bac7249fa4302ee17e1ae0aa17991732
@@ -31089,20 +31353,22 @@ packages:
   license_family: Proprietary
   size: 115235
   timestamp: 1767320173250
-- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.37.0-pyhcf101f3_1.conda
-  sha256: 4ce2e967925a30f65d5f63f811766ca53a6024b65f37e396ffd24d6d4d4d29cb
-  md5: c4c4f99faba7174b3d99b79baf60697d
+- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.0.0-pyhcf101f3_0.conda
+  sha256: b41f6f522c15805fc609ac44fd3ead3288a3b1125fa3d917466fc9f0bc27dcfb
+  md5: 0d574419484a88ee7e753cc0c80ee2c1
   depends:
   - python >=3.10
   - distlib >=0.3.7,<1
-  - filelock >=3.24.2,<4
+  - filelock <4,>=3.24.2
+  - importlib-metadata >=6.6
   - platformdirs >=3.9.1,<5
+  - python-discovery >=1
   - typing_extensions >=4.13.2
   - python
   license: MIT
   license_family: MIT
-  size: 4655565
-  timestamp: 1771315126700
+  size: 4640980
+  timestamp: 1772109615220
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
   sha256: 63ff4ec6e5833f768d402f5e95e03497ce211ded5b6f492e660e2bfc726ad24d
   md5: f276d1de4553e8fca1dfb6988551ebb4
@@ -31492,17 +31758,17 @@ packages:
   license_family: Apache
   size: 3598939
   timestamp: 1766327729418
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.46-hb03c661_0.conda
-  sha256: aa03b49f402959751ccc6e21932d69db96a65a67343765672f7862332aa32834
-  md5: 71ae752a748962161b4740eaff510258
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.47-hb03c661_0.conda
+  sha256: 19c2bb14bec84b0e995b56b752369775c75f1589314b43733948bb5f471a6915
+  md5: b56e0c8432b56decafae7e78c5f29ba5
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
-  - xorg-libx11 >=1.8.12,<2.0a0
+  - xorg-libx11 >=1.8.13,<2.0a0
   license: MIT
   license_family: MIT
-  size: 396975
-  timestamp: 1759543819846
+  size: 399291
+  timestamp: 1772021302485
 - conda: https://conda.anaconda.org/conda-forge/noarch/xlrd-2.0.2-pyhd8ed1ab_0.conda
   sha256: 64f09069d8b3a3791643230cedc80d9f9422f667e3e328b40d527375352fe8d4
   md5: 91f5637b706492b9e418da1872fd61ce
@@ -32123,20 +32389,17 @@ packages:
   license_family: MIT
   size: 305998
   timestamp: 1763742695201
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h387f397_9.conda
-  sha256: 47cfe31255b91b4a6fa0e9dbaf26baa60ac97e033402dbc8b90ba5fee5ffe184
-  md5: 8035e5b54c08429354d5d64027041cad
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h59595ed_1.conda
+  sha256: 3bec658f5c23abf5e200d98418add7a20ff7b45c928ad4560525bef899496256
+  md5: 7fc9d3288d2420bb3637647621018000
   depends:
-  - libstdcxx >=14
-  - libgcc >=14
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - libgcc-ng >=12
+  - libsodium >=1.0.18,<1.0.19.0a0
+  - libstdcxx-ng >=12
   license: MPL-2.0
   license_family: MOZILLA
-  size: 310648
-  timestamp: 1757370847287
+  size: 343438
+  timestamp: 1709135220800
 - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h93d8f39_0.conda
   sha256: 19be553b3cc8352b6e842134b8de66ae39fcae80bc575c203076370faab6009c
   md5: 4c055e46b394be36681fe476c1e2ee6e
@@ -32158,22 +32421,18 @@ packages:
   license_family: MOZILLA
   size: 288572
   timestamp: 1709135728486
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h5bddc39_9.conda
-  sha256: 690cf749692c8ea556646d1a47b5824ad41b2f6dfd949e4cdb6c44a352fcb1aa
-  md5: a6c8f8ee856f7c3c1576e14b86cd8038
+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he0c23c2_3.conda
+  sha256: 8aecdcafccb73417d6a8d5c99b2b89644cd1e739e9419b70db2b97ddd344a58a
+  md5: a15710475b7ec416900e60560f6839ee
   depends:
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - libsodium >=1.0.18,<1.0.19.0a0
   - ucrt >=10.0.20348.0
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MPL-2.0
   license_family: MOZILLA
-  size: 265212
-  timestamp: 1757370864284
+  size: 4196272
+  timestamp: 1714545389805
 - conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
   sha256: 5488542dceeb9f2874e726646548ecc5608060934d6f9ceaa7c6a48c61f9cc8d
   md5: e52c2ef711ccf31bb7f70ca87d144b9e

From 21bc4faa0e8720cd5e1d9d4bbd4e78451a774d47 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 2 Mar 2026 08:52:18 +0100
Subject: [PATCH 031/105] chore(deps): bump actions/upload-artifact in the
 github-actions group (#2106)

Bumps the github-actions group with 1 update: [actions/upload-artifact](https://github.com/actions/upload-artifact).


Updates `actions/upload-artifact` from 6 to 7
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v6...v7)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/test.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 4143e3b62d..0a2c67a997 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -132,7 +132,7 @@ jobs:
 
     - name: Upload artifacts
       if: always()
-      uses: actions/upload-artifact@v6
+      uses: actions/upload-artifact@v7
       with:
         name: results-${{ matrix.os }}
         path: |

From 4fe739dbce50c75e56232bf827c19437670e8a1d Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Fri, 6 Mar 2026 08:36:52 +0100
Subject: [PATCH 032/105] chore(deps): bump docker/login-action in the
 github-actions group (#2114)

Bumps the github-actions group with 1 update: [docker/login-action](https://github.com/docker/login-action).


Updates `docker/login-action` from 3 to 4
- [Release notes](https://github.com/docker/login-action/releases)
- [Commits](https://github.com/docker/login-action/compare/v3...v4)

---
updated-dependencies:
- dependency-name: docker/login-action
  dependency-version: '4'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/push-images.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/push-images.yaml b/.github/workflows/push-images.yaml
index 79d6ea4a1c..4e08fa08ca 100644
--- a/.github/workflows/push-images.yaml
+++ b/.github/workflows/push-images.yaml
@@ -24,7 +24,7 @@ jobs:
         echo "hash_last_changed=$hash_last_changed" >> $GITHUB_ENV
 
     - name: 'Login to GitHub Container Registry'
-      uses: docker/login-action@v3
+      uses: docker/login-action@v4
       with:
         registry: ghcr.io
         username: ${{ github.repository_owner }}

From 40c8954aab8ee05f45bf7e7c9dc4c1e4b1402e98 Mon Sep 17 00:00:00 2001
From: Jack Gregory <77354448+jack-gregory@users.noreply.github.com>
Date: Fri, 6 Mar 2026 19:34:16 +0100
Subject: [PATCH 033/105] Update installation.rst (#2116)

The current line is trying to install a package with the filename.  So, we need to use --file, not -f parameter.
---
 doc/installation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/installation.rst b/doc/installation.rst
index ad0d7768d2..d68fcbd232 100644
--- a/doc/installation.rst
+++ b/doc/installation.rst
@@ -65,7 +65,7 @@ To do so, we highly recommend you install from one of our platform-specific envi
 
     $ conda update conda
 
-    $ conda create -n pypsa-eur -f envs/default_linux-64.pin.txt # select the appropriate file for your platform
+    $ conda create -n pypsa-eur --file envs/default_linux-64.pin.txt # select the appropriate file for your platform
 
     $ conda activate pypsa-eur
 

From 4d83a9b769991af5de316421dbe2c0133a143340 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 16 Mar 2026 09:02:08 +0100
Subject: [PATCH 034/105] chore(deps): bump dorny/paths-filter in the
 github-actions group (#2119)

Bumps the github-actions group with 1 update: [dorny/paths-filter](https://github.com/dorny/paths-filter).


Updates `dorny/paths-filter` from 3 to 4
- [Release notes](https://github.com/dorny/paths-filter/releases)
- [Changelog](https://github.com/dorny/paths-filter/blob/master/CHANGELOG.md)
- [Commits](https://github.com/dorny/paths-filter/compare/v3...v4)

---
updated-dependencies:
- dependency-name: dorny/paths-filter
  dependency-version: '4'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/test.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 0a2c67a997..c64fa4bff1 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -56,7 +56,7 @@ jobs:
     steps:
     - uses: actions/checkout@v6
 
-    - uses: dorny/paths-filter@v3
+    - uses: dorny/paths-filter@v4
       id: filter
       with:
         filters: |

From 960ff5327eb3f467c60c195ce6245cb6af81690e Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Mon, 16 Mar 2026 09:03:04 +0100
Subject: [PATCH 035/105] doc: update the PR template (#2118)

* doc: update the PR template

* Apply suggestions from code review

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

* Update .github/pull_request_template.md

Co-authored-by: Lukas Trippe <lkstrp@pm.me>

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 .github/pull_request_template.md | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 7771ec10a7..0f4e693a7b 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -5,10 +5,12 @@ Closes # (if applicable).
 
 ## Checklist
 
-- [ ] I tested my contribution locally and it works as intended.
-- [ ] Code and workflow changes are sufficiently documented.
-- [ ] Changed dependencies are added to `pixi.toml` (using `pixi add <dependency-name>`).
-- [ ] Changes in configuration options are added in `config/config.default.yaml`.
-- [ ] Changes in configuration options are documented in `doc/configtables/*.csv`.
+**Required:**
+- [ ] Changes are tested locally and behave as expected.
+- [ ] Code and workflow changes are documented.
+- [ ] A release note entry is added to `doc/release_notes.rst`.
+
+**If applicable:**
+- [ ] Changes in configuration options are reflected in `scripts/lib/validation`.
 - [ ] For new data sources or versions, [these instructions](https://pypsa-eur.readthedocs.io/en/latest/data_sources.html) have been followed.
-- [ ] A release note `doc/release_notes.rst` is added.
+- [ ] New rules are documented in the appropriate `doc/*.rst` files.
\ No newline at end of file

From 3f7694283cffab9a346471f3be9a26444251b27e Mon Sep 17 00:00:00 2001
From: Toni <153275395+toniseibold@users.noreply.github.com>
Date: Mon, 16 Mar 2026 09:46:07 +0100
Subject: [PATCH 036/105] Update solve_network.py (#2107)

Bugfixing the post discretization.
"enable": True leads to error in `n.optimize.optimize_transmission_expansion_iteratively`

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 scripts/solve_network.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 0fa8e90fc9..8a24dda896 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -1367,6 +1367,7 @@ def collect_kwargs(
 
         if cf_solving["post_discretization"].get("enable", False):
             logger.info("Add post-discretization parameters.")
+            cf_solving["post_discretization"].pop("enable", None)
             all_kwargs.update(cf_solving["post_discretization"])
 
         return all_kwargs, {}

From f85d295d90f84991a38b37cfa258441983cd9501 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 16 Mar 2026 12:37:28 +0100
Subject: [PATCH 037/105] [github-actions.ci] Update locked envs (#2120)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |  169 +-
 envs/default_osx-64.pin.txt    |  163 +-
 envs/default_osx-arm64.pin.txt |  163 +-
 envs/default_win-64.pin.txt    |  151 +-
 pixi.lock                      | 4217 +++++++++++++++++---------------
 5 files changed, 2527 insertions(+), 2336 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 237f23e2dc..a3bb869ecd 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -15,7 +15,7 @@ https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.1-h35e630c_1.conda#f
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
 https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda#186a18e3ba246eccfc7cff00cd19a870
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.51.2-hf4e2dac_0.conda#da5be73701eecd0e8454423fd6ffcf30
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.52.0-hf4e2dac_0.conda#fd893f6a3002a635b5e50ceb9dd2c0f4
 https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda#c7c83eecbb72d88b940c249af56c8b17
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index c0a354f8cd..10138fde74 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 7f5cb051f1..93bbb260b3 100644
--- a/envs/default_osx-arm64.pin.txt
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index a3189f45fe..b85b6fc9b8 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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diff --git a/pixi.lock b/pixi.lock
index 445041cac3..09c7889262 100644
--- a/pixi.lock
+++ b/pixi.lock
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   license_family: BSD
-  size: 288292
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+  - pandas >=2.0
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+  - libstdcxx >=14
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.21,<1.0.22.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 343438
-  timestamp: 1709135220800
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h93d8f39_0.conda
-  sha256: 19be553b3cc8352b6e842134b8de66ae39fcae80bc575c203076370faab6009c
-  md5: 4c055e46b394be36681fe476c1e2ee6e
+  size: 311150
+  timestamp: 1772476812121
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h27d9b8f_10.conda
+  sha256: c7265cc5184897358af8b87c614288bc79645ef4340e01c2cd8469078dc56007
+  md5: 1a774dcaff94c2dd98451a26a46714b8
   depends:
-  - __osx >=10.9
-  - libcxx >=16.0.6
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - libcxx >=19
+  - __osx >=11.0
+  - libsodium >=1.0.21,<1.0.22.0a0
+  - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 294253
-  timestamp: 1697057208271
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hebf3989_1.conda
-  sha256: caf6df12d793600faec21b7e6025e2e8fb8de26672cce499f9471b99b6776eb1
-  md5: 19cff1c627ff58429701113bf35300c8
+  size: 260841
+  timestamp: 1772476936933
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h4818236_10.conda
+  sha256: 2705360c72d4db8de34291493379ffd13b09fd594d0af20c9eefa8a3f060d868
+  md5: e85dcd3bde2b10081cdcaeae15797506
   depends:
-  - libcxx >=16
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - __osx >=11.0
+  - libcxx >=19
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.21,<1.0.22.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 288572
-  timestamp: 1709135728486
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he0c23c2_3.conda
-  sha256: 8aecdcafccb73417d6a8d5c99b2b89644cd1e739e9419b70db2b97ddd344a58a
-  md5: a15710475b7ec416900e60560f6839ee
+  size: 245246
+  timestamp: 1772476886668
+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
+  sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
+  md5: 1ab0237036bfb14e923d6107473b0021
   depends:
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - libsodium >=1.0.21,<1.0.22.0a0
+  - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 4196272
-  timestamp: 1714545389805
+  size: 265665
+  timestamp: 1772476832995
 - conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
   sha256: 5488542dceeb9f2874e726646548ecc5608060934d6f9ceaa7c6a48c61f9cc8d
   md5: e52c2ef711ccf31bb7f70ca87d144b9e

From db2e5a0fd743fb09291b17ee549ec9f8bdc7e7a1 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 18 Mar 2026 09:56:30 +0100
Subject: [PATCH 038/105] chore(deps): bump actions/create-github-app-token
 (#2122)

Bumps the github-actions group with 1 update: [actions/create-github-app-token](https://github.com/actions/create-github-app-token).


Updates `actions/create-github-app-token` from 2 to 3
- [Release notes](https://github.com/actions/create-github-app-token/releases)
- [Commits](https://github.com/actions/create-github-app-token/compare/v2...v3)

---
updated-dependencies:
- dependency-name: actions/create-github-app-token
  dependency-version: '3'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/release.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 95f105b863..142228abb8 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -41,7 +41,7 @@ jobs:
     steps:
     - name: Generate token for PyPSA Bot
       id: generate-token
-      uses: actions/create-github-app-token@v2
+      uses: actions/create-github-app-token@v3
       with:
         app-id: ${{ vars.PYPSA_BOT_ID }}
         private-key: ${{ secrets.PYPSA_BOT_PRIVATE_KEY }}

From 7ab303cd1bedf3def219b2539b5472ee5cbf8cca Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20R=C3=BCdt?=
 <117752024+daniel-rdt@users.noreply.github.com>
Date: Wed, 18 Mar 2026 10:09:41 +0100
Subject: [PATCH 039/105] feat: improve load shedding with carrier specific
 options and load sinks (#2105)

* feat: add carrier specific load shedding and costs

* feat: add option for load sinks analogue to load shedding

* doc: add release note

* refactor: rename to all_carriers and default_cost options

* fix: fix reference to cost instead of price
---
 config/config.default.yaml               |  11 +-
 config/examples/config.validation.yaml   |   3 +-
 config/schema.default.json               | 240 +++++++++++++++++++++--
 doc/release_notes.rst                    |   2 +
 scripts/lib/validation/config/solving.py |  74 ++++++-
 scripts/solve_network.py                 |  74 +++++--
 6 files changed, 366 insertions(+), 38 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index ea95ad6d58..c74c15dd63 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1134,7 +1134,16 @@ adjustments:
 solving:
   options:
     clip_p_max_pu: 0.01
-    load_shedding: false
+    load_shedding:
+      enable: false
+      default_cost: 100000
+      all_carriers: true
+      carriers: {}
+    load_sinks:
+      enable: false
+      default_cost: 100000
+      all_carriers: false
+      carriers: {}
     curtailment_mode: false
     noisy_costs: true
     skip_iterations: true
diff --git a/config/examples/config.validation.yaml b/config/examples/config.validation.yaml
index b43455ae2f..d48b5295b4 100644
--- a/config/examples/config.validation.yaml
+++ b/config/examples/config.validation.yaml
@@ -81,7 +81,8 @@ clustering:
 
 solving:
   options:
-    load_shedding: true
+    load_shedding:
+      enable: true
     rolling_horizon: false
     horizon: 1000
     overlap: 48
diff --git a/config/schema.default.json b/config/schema.default.json
index 220d3874ea..bf9786194a 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -5206,16 +5206,64 @@
               "type": "number"
             },
             "load_shedding": {
-              "anyOf": [
-                {
+              "description": "Configuration for `solving.options.load_shedding` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                {
+                "default_cost": {
+                  "default": 100000,
+                  "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "exclusiveMinimum": 0,
                   "type": "number"
+                },
+                "all_carriers": {
+                  "default": true,
+                  "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
+                  "type": "boolean"
+                },
+                "carriers": {
+                  "additionalProperties": {
+                    "exclusiveMinimum": 0,
+                    "type": "number"
+                  },
+                  "default": {},
+                  "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
+                  "type": "object"
                 }
-              ],
-              "default": false,
-              "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+              }
+            },
+            "load_sinks": {
+              "description": "Configuration for `solving.options.load_sinks` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
+                  "type": "boolean"
+                },
+                "default_cost": {
+                  "default": 100000,
+                  "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "exclusiveMinimum": 0,
+                  "type": "number"
+                },
+                "all_carriers": {
+                  "default": false,
+                  "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
+                  "type": "boolean"
+                },
+                "carriers": {
+                  "additionalProperties": {
+                    "exclusiveMinimum": 0,
+                    "type": "number"
+                  },
+                  "default": {},
+                  "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
+                  "type": "object"
+                }
+              }
             },
             "curtailment_mode": {
               "default": false,
@@ -6722,6 +6770,66 @@
         }
       }
     },
+    "_LoadSheddingConfig": {
+      "description": "Configuration for `solving.options.load_shedding` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
+          "type": "boolean"
+        },
+        "default_cost": {
+          "default": 100000,
+          "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+          "exclusiveMinimum": 0,
+          "type": "number"
+        },
+        "all_carriers": {
+          "default": true,
+          "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
+          "type": "boolean"
+        },
+        "carriers": {
+          "additionalProperties": {
+            "exclusiveMinimum": 0,
+            "type": "number"
+          },
+          "default": {},
+          "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
+          "type": "object"
+        }
+      }
+    },
+    "_LoadSinksConfig": {
+      "description": "Configuration for `solving.options.load_sinks` settings.",
+      "properties": {
+        "enable": {
+          "default": false,
+          "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
+          "type": "boolean"
+        },
+        "default_cost": {
+          "default": 100000,
+          "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+          "exclusiveMinimum": 0,
+          "type": "number"
+        },
+        "all_carriers": {
+          "default": false,
+          "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
+          "type": "boolean"
+        },
+        "carriers": {
+          "additionalProperties": {
+            "exclusiveMinimum": 0,
+            "type": "number"
+          },
+          "default": {},
+          "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
+          "type": "object"
+        }
+      }
+    },
     "_MaxHoursConfig": {
       "description": "Configuration for `electricity.max_hours` settings.",
       "properties": {
@@ -7705,16 +7813,64 @@
           "type": "number"
         },
         "load_shedding": {
-          "anyOf": [
-            {
+          "description": "Configuration for `solving.options.load_shedding` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
               "type": "boolean"
             },
-            {
+            "default_cost": {
+              "default": 100000,
+              "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+              "exclusiveMinimum": 0,
               "type": "number"
+            },
+            "all_carriers": {
+              "default": true,
+              "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
+              "type": "boolean"
+            },
+            "carriers": {
+              "additionalProperties": {
+                "exclusiveMinimum": 0,
+                "type": "number"
+              },
+              "default": {},
+              "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
+              "type": "object"
             }
-          ],
-          "default": false,
-          "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+          }
+        },
+        "load_sinks": {
+          "description": "Configuration for `solving.options.load_sinks` settings.",
+          "properties": {
+            "enable": {
+              "default": false,
+              "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
+              "type": "boolean"
+            },
+            "default_cost": {
+              "default": 100000,
+              "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+              "exclusiveMinimum": 0,
+              "type": "number"
+            },
+            "all_carriers": {
+              "default": false,
+              "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
+              "type": "boolean"
+            },
+            "carriers": {
+              "additionalProperties": {
+                "exclusiveMinimum": 0,
+                "type": "number"
+              },
+              "default": {},
+              "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
+              "type": "object"
+            }
+          }
         },
         "curtailment_mode": {
           "default": false,
@@ -12095,16 +12251,64 @@
               "type": "number"
             },
             "load_shedding": {
-              "anyOf": [
-                {
+              "description": "Configuration for `solving.options.load_shedding` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                {
+                "default_cost": {
+                  "default": 100000,
+                  "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "exclusiveMinimum": 0,
                   "type": "number"
+                },
+                "all_carriers": {
+                  "default": true,
+                  "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
+                  "type": "boolean"
+                },
+                "carriers": {
+                  "additionalProperties": {
+                    "exclusiveMinimum": 0,
+                    "type": "number"
+                  },
+                  "default": {},
+                  "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
+                  "type": "object"
                 }
-              ],
-              "default": false,
-              "description": "Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh."
+              }
+            },
+            "load_sinks": {
+              "description": "Configuration for `solving.options.load_sinks` settings.",
+              "properties": {
+                "enable": {
+                  "default": false,
+                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
+                  "type": "boolean"
+                },
+                "default_cost": {
+                  "default": 100000,
+                  "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "exclusiveMinimum": 0,
+                  "type": "number"
+                },
+                "all_carriers": {
+                  "default": false,
+                  "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
+                  "type": "boolean"
+                },
+                "carriers": {
+                  "additionalProperties": {
+                    "exclusiveMinimum": 0,
+                    "type": "number"
+                  },
+                  "default": {},
+                  "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
+                  "type": "object"
+                }
+              }
             },
             "curtailment_mode": {
               "default": false,
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 0f5a9325df..20689122eb 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -14,6 +14,8 @@ Release Notes
 
 * Fix: Lower the lower bound used to group the power plants in ``add_existing_baseyear`` (https://github.com/PyPSA/pypsa-eur/pull/2097). This now includes all power plants built since 1900.
 
+* feat: Add options for carrier specific load shedding and load sinks configurable via `load_shedding` and `load_sinks` respectively (https://github.com/PyPSA/pypsa-eur/pull/2105).
+
 PyPSA-Eur v2026.02.0 (18th February 2026)
 =========================================
 
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index 442cb253e0..b359063bda 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -10,7 +10,7 @@
 
 from typing import Any
 
-from pydantic import BaseModel, Field, field_validator, model_validator
+from pydantic import BaseModel, Field, PositiveFloat, field_validator, model_validator
 
 from scripts.lib.validation.config._base import ConfigModel
 
@@ -51,6 +51,68 @@ class _ModelKwargsConfig(BaseModel):
     )
 
 
+class _LoadSheddingConfig(ConfigModel):
+    """Configuration for `solving.options.load_shedding` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
+    )
+    default_cost: PositiveFloat = Field(
+        100000,
+        description="The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+    )
+    all_carriers: bool = Field(
+        True,
+        description="Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
+    )
+    carriers: dict[str, PositiveFloat] = Field(
+        {},
+        description="Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
+    )
+
+    @model_validator(mode="after")
+    def check_enabled_has_targets(self):
+        if self.enable and not self.carriers and not self.all_carriers:
+            raise ValueError(
+                "Load shedding is enabled but no carriers are specified and "
+                "'all_carriers' is False. Either specify carriers or "
+                "set 'all_carriers' to True."
+            )
+        return self
+
+
+class _LoadSinksConfig(ConfigModel):
+    """Configuration for `solving.options.load_sinks` settings."""
+
+    enable: bool = Field(
+        False,
+        description="Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
+    )
+    default_cost: PositiveFloat = Field(
+        100000,
+        description="The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+    )
+    all_carriers: bool = Field(
+        False,
+        description="Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
+    )
+    carriers: dict[str, PositiveFloat] = Field(
+        {},
+        description="Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
+    )
+
+    @model_validator(mode="after")
+    def check_enabled_has_targets(self):
+        if self.enable and not self.carriers and not self.all_carriers:
+            raise ValueError(
+                "Load sinks are enabled but no carriers are specified and "
+                "'all_carriers' is False. Either specify carriers or "
+                "set 'all_carriers' to True."
+            )
+        return self
+
+
 class _SolvingOptionsConfig(BaseModel):
     """Configuration for `solving.options` settings."""
 
@@ -58,9 +120,13 @@ class _SolvingOptionsConfig(BaseModel):
         0.01,
         description="To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero.",
     )
-    load_shedding: bool | float = Field(
-        False,
-        description="Add generators with very high marginal cost to simulate load shedding and avoid problem infeasibilities. If load shedding is a float, it denotes the marginal cost in EUR/kWh.",
+    load_shedding: _LoadSheddingConfig = Field(
+        default_factory=_LoadSheddingConfig,
+        description="Load shedding settings.",
+    )
+    load_sinks: _LoadSinksConfig = Field(
+        default_factory=_LoadSinksConfig,
+        description="Load sinks settings.",
     )
     curtailment_mode: bool = Field(
         False,
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 8a24dda896..c084f19e01 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -420,6 +420,62 @@ def add_retrofit_gas_boiler_constraint(
     n.model.add_constraints(lhs == rhs, name="gas_retrofit")
 
 
+def add_load_balance_components(n, config, sign=1):
+    """
+    Add load shedding or load sinks to the network with carrier 'load'.
+
+    Parameters
+    ----------
+    n : pypsa.Network
+        The PyPSA network to be modified.
+    config : dict
+        The load shedding or load sinks settings.
+    sign : float
+        Direction of the added generators. Positive for load shedding, negative for load sinks.
+
+    Returns
+    -------
+    None
+        Modifies PyPSA network in place.
+    """
+    if "load" not in n.carriers.index:
+        n.add("Carrier", "load")
+
+    carriers = config.get("carriers", {})
+    default_cost = config.get("default_cost")
+    balance_comp = "shedding" if sign > 0 else "sink"
+
+    logger.info(
+        f"Add load {balance_comp} for {'all carriers' if config.get('all_carriers') else ', '.join(carriers)}."
+    )
+
+    for bus_carrier, price in carriers.items():
+        buses_i = n.buses[n.buses.carrier == bus_carrier].index
+        n.add(
+            "Generator",
+            buses_i,
+            f" load {balance_comp}",
+            bus=buses_i,
+            carrier="load",
+            marginal_cost=price,
+            p_nom=np.inf,
+            sign=sign,
+        )
+
+    if config.get("all_carriers", False):
+        buses_rest_i = n.buses[~n.buses.carrier.isin(carriers)].index
+        n.add(
+            "Generator",
+            buses_rest_i,
+            f" load {balance_comp}",
+            bus=buses_rest_i,
+            carrier="load",
+            marginal_cost=default_cost,
+            p_nom=np.inf,
+            sign=sign,
+        )
+
+
 def prepare_network(
     n: pypsa.Network,
     solve_opts: dict,
@@ -460,23 +516,13 @@ def prepare_network(
         ):
             df.where(df.abs() > solve_opts["clip_p_max_pu"], other=0.0, inplace=True)
 
-    if load_shedding := solve_opts.get("load_shedding"):
+    if (load_shedding := solve_opts.get("load_shedding", {})).get("enable", False):
         # intersect between macroeconomic and surveybased willingness to pay
         # http://journal.frontiersin.org/article/10.3389/fenrg.2015.00055/full
-        n.add("Carrier", "load")
-        buses_i = n.buses.index
-        if isinstance(load_shedding, bool):
-            load_shedding = 1e5  # Eur/MWh
+        add_load_balance_components(n, load_shedding)
 
-        n.add(
-            "Generator",
-            buses_i,
-            " load",
-            bus=buses_i,
-            carrier="load",
-            marginal_cost=load_shedding,  # Eur/MWh
-            p_nom=np.inf,
-        )
+    if (load_sinks := solve_opts.get("load_sinks", {})).get("enable", False):
+        add_load_balance_components(n, load_sinks, sign=-1)
 
     if solve_opts.get("curtailment_mode"):
         n.add("Carrier", "curtailment", color="#fedfed", nice_name="Curtailment")

From 25f8ee40b8cc0be6a8840e30dd405cfcbd3aeb53 Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Thu, 19 Mar 2026 19:16:53 +0100
Subject: [PATCH 040/105] ci: validation runs via pypsa-app (#2123)

* ci: validation runs via pypsa-app

* trigger

* chore: add smkmt logger (optional)

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

* trigger

* trigger

* trigger

---------

Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 .github/pypsa-bot.yml          |  11 ++
 envs/default_linux-64.pin.txt  |  41 +++--
 envs/default_osx-64.pin.txt    |  41 +++--
 envs/default_osx-arm64.pin.txt |  41 +++--
 envs/default_win-64.pin.txt    |  43 +++--
 envs/environment.yaml          |   1 +
 pixi.lock                      | 314 ++++++++++++++++++++++++++++++---
 pixi.toml                      |   1 +
 8 files changed, 409 insertions(+), 84 deletions(-)

diff --git a/.github/pypsa-bot.yml b/.github/pypsa-bot.yml
index 6c9cf4fda4..79cb3a9e9b 100644
--- a/.github/pypsa-bot.yml
+++ b/.github/pypsa-bot.yml
@@ -15,3 +15,14 @@ tasks:
     - "doc/"
     - "*.yaml"
     - "*.yml"
+
+app:
+  runs:
+  - name: "config.validator.yaml"
+    configfile: "config/test/config.validator.yaml"
+    triggers: [main, pr]
+    cache:
+      key: "validator-{YYYY}-{MM}"
+      dirs: ["data"]
+    import_networks:
+    - "results/validation/networks/base_s_50___2050.nc"
diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index a3bb869ecd..d0eaa9ec30 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -103,7 +103,7 @@ https://conda.anaconda.org/conda-forge/noarch/pydantic-2.12.5-pyhcf101f3_1.conda
 https://conda.anaconda.org/conda-forge/noarch/sqlmodel-0.0.37-pyhcf101f3_0.conda#00e6147bef9a85139099c9861c3b976b
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda#1500fccf5e46c7f91d14925449ff3632
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda#e6fd8cfb23b294da699e395dbc968d11
-https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2#cbb15afc697a71cc9a0e9bfd75ae59cc
+https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda#98f75f2ca3a222992e2230d7afc54bb8
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda#0d8bbf1699b16ac225031ae0c73729f8
 https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.1-pyhcf101f3_0.conda#bdb3de24557a6b6e6283d2ed5daf8e01
 https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-5_h6ae95b6_openblas.conda#e487a0e38d89da76410cb92a5db39ec5
@@ -137,7 +137,32 @@ https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0
 https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda#e52c2a160d6bd0649c9fafdf0c813357
 https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda#f4e90937bbfc3a4a92539545a37bb448
 https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.17.1-pyhdfd78af_0.conda#5f1feb51c9234d879c68f508b7a3402e
-https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda#1a318ca1376d0cd58aa85e3857b08520
+https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda#6b6ece66ebcae2d5f326c77ef2c5a066
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda#5b5203189eb668f042ac2b0826244964
+https://conda.anaconda.org/conda-forge/noarch/rich-14.3.3-pyhcf101f3_0.conda#7a6289c50631d620652f5045a63eb573
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/annotated-doc-0.0.4-pyhcf101f3_0.conda#52be5139047efadaeeb19c6a5103f92a
+https://conda.anaconda.org/conda-forge/noarch/typer-0.23.1-pyhcf101f3_0.conda#bac7249fa4302ee17e1ae0aa17991732
+https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda#1997a083ef0b4c9331f9191564be275e
+https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-2.0.0-pyhcf101f3_0.conda#4fdd327852ffefc83173a7c029690d0c
+https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.1.0-pyhcf101f3_0.conda#1005e1f39083adad2384772e8e384e43
+https://conda.anaconda.org/conda-forge/noarch/textual-8.1.1-pyhcf101f3_1.conda#4a666e8fdaa357e0fe397d16ca40bd7c
+https://conda.anaconda.org/conda-forge/noarch/loguru-0.7.3-pyh707e725_0.conda#49647ac1de4d1e4b49124aedf3934e02
+https://conda.anaconda.org/conda-forge/noarch/python-yakh-0.4.1-pyhff2d567_0.conda#7d2e90221b5da6f0577d150cfe6b87ed
+https://conda.anaconda.org/conda-forge/noarch/questo-0.4.2-pyhcf101f3_0.conda#d408fa8ff9f17887378715dcf024d359
+https://conda.anaconda.org/conda-forge/noarch/emoji-2.15.0-pyhd8ed1ab_0.conda#31db8c55a8dda3abd4625a2880ea3d34
+https://conda.anaconda.org/conda-forge/noarch/beaupy-3.11.0-pyhcf101f3_0.conda#60a4eb57076a995a71832528342ecd9d
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda#72e780e9aa2d0a3295f59b1874e3768b
+https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda#30cd29cb87d819caead4d55184c1d115
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda#63ccfdc3a3ce25b027b8767eb722fca8
+https://conda.anaconda.org/conda-forge/noarch/mako-1.3.10-pyhcf101f3_1.conda#99f74609a309e434f25f0ede5f50580c
+https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda#c45fa7cf996b766cb63eadf3c3e6408a
+https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.21.0-pyhaa4b35c_0.conda#f3549a4607ecf6f0bdbb4afe9b05f2d2
+https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda#38ba1f1279491d848303cd050dfe56cc
+https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda#8fbd31325e6fbb325e15625471b44dfc
+https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda#99b9953692a58a31aa94c0d127e71c32
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda#7d4f2bf739967798eb4d8c02d59cf36c
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.5.4-pyhdfd78af_0.conda#781139a6ee0ed7c77b33c2065d94d93e
 https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2#9b1db7127119f513696d620eefe7bf67
@@ -191,7 +216,6 @@ https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda#3b
 https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.2-h03e3b7b_1.conda#98b6c9dc80eb87b2519b97bcf7e578dd
 https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/libgdal-core-3.12.2-hc2c0581_1.conda#c8ca404aeab8e32c9d6d82a82aeb6511
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
 https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_2.conda#55c7804f428719241a90b152016085a1
 https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda#e9b05deb91c013e5224672a4ba9cf8d1
 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c4061f499edec6b8ac7000f6d586829
@@ -301,8 +325,6 @@ https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.9.0-pyhcf10
 https://conda.anaconda.org/conda-forge/noarch/deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2#7b6747d7cc2076341029cff659669e8b
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda#30cd29cb87d819caead4d55184c1d115
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda#63ccfdc3a3ce25b027b8767eb722fca8
 https://conda.anaconda.org/conda-forge/noarch/fsspec-2026.2.0-pyhd8ed1ab_0.conda#496c6c9411a6284addf55c898d6ed8d7
 https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.2-pyhcf101f3_1.conda#61b8078a0905b12529abc622406cb62c
 https://conda.anaconda.org/conda-forge/noarch/dask-core-2026.1.2-pyhcf101f3_0.conda#b20e7ce9afd59036ab194f3d1e27edf5
@@ -319,7 +341,6 @@ https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
 https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
 https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.14.0-pyha770c72_0.conda#385dca77a8b0ec6fa9b92cb62d09b43b
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda#72e780e9aa2d0a3295f59b1874e3768b
 https://conda.anaconda.org/conda-forge/noarch/mccabe-0.7.0-pyhd8ed1ab_1.conda#827064ddfe0de2917fb29f1da4f8f533
 https://conda.anaconda.org/conda-forge/noarch/isort-8.0.1-pyhd8ed1ab_0.conda#98cdd8615792e90da1023bc546f806d9
 https://conda.anaconda.org/conda-forge/noarch/dill-0.4.1-pyhcf101f3_0.conda#080a808fce955026bf82107d955d32da
@@ -396,18 +417,10 @@ https://conda.anaconda.org/conda-forge/noarch/requests-file-3.0.1-pyhd8ed1ab_0.c
 https://conda.anaconda.org/conda-forge/noarch/ratelimit-2.2.1-pyhd8ed1ab_0.tar.bz2#3e8565b8c77205fc638ee40f5d2a2dba
 https://conda.anaconda.org/conda-forge/noarch/unidecode-1.4.0-pyhcf101f3_1.conda#53cb4b14ab0841e104e2bd11ee64b840
 https://conda.anaconda.org/conda-forge/noarch/pyphonetics-0.5.3-pyhd8ed1ab_1.conda#0f690c1b906722bf6652bf532e3ee8a5
-https://conda.anaconda.org/conda-forge/noarch/loguru-0.7.3-pyh707e725_0.conda#49647ac1de4d1e4b49124aedf3934e02
 https://conda.anaconda.org/conda-forge/noarch/jsonlines-4.0.0-pyhd8ed1ab_0.conda#df32eb56c2a48a5ca9465aef29dd46bc
 https://conda.anaconda.org/conda-forge/noarch/ijson-3.5.0-pyhd8ed1ab_0.conda#eac0aa15551be351e07d3b8717b2269f
 https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_3.conda#2841eb5bfc75ce15e9a0054b98dcd64d
 https://conda.anaconda.org/conda-forge/noarch/html5lib-1.1-pyhd8ed1ab_2.conda#cf25bfddbd3bc275f3d3f9936cee1dd3
-https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda#6b6ece66ebcae2d5f326c77ef2c5a066
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda#5b5203189eb668f042ac2b0826244964
-https://conda.anaconda.org/conda-forge/noarch/rich-14.3.3-pyhcf101f3_0.conda#7a6289c50631d620652f5045a63eb573
-https://conda.anaconda.org/conda-forge/noarch/annotated-doc-0.0.4-pyhcf101f3_0.conda#52be5139047efadaeeb19c6a5103f92a
-https://conda.anaconda.org/conda-forge/noarch/typer-0.23.1-pyhcf101f3_0.conda#bac7249fa4302ee17e1ae0aa17991732
 https://conda.anaconda.org/conda-forge/noarch/stringcase-1.2.0-pyhd8ed1ab_2.conda#6c17c5b9a3f8cf44137bfca12e2574d7
 https://conda.anaconda.org/conda-forge/noarch/simpleeval-1.0.3-pyhd8ed1ab_0.conda#00cdd2e3ec6d3be6bc2b7d46470a10a1
 https://conda.anaconda.org/conda-forge/noarch/rfc3986-2.0.0-pyhd8ed1ab_1.conda#43e14f832d7551e5a8910672bfc3d8c6
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 10138fde74..4267359c1b 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -100,7 +100,7 @@ https://conda.anaconda.org/conda-forge/noarch/pydantic-2.12.5-pyhcf101f3_1.conda
 https://conda.anaconda.org/conda-forge/noarch/sqlmodel-0.0.37-pyhcf101f3_0.conda#00e6147bef9a85139099c9861c3b976b
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda#1500fccf5e46c7f91d14925449ff3632
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda#e6fd8cfb23b294da699e395dbc968d11
-https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2#cbb15afc697a71cc9a0e9bfd75ae59cc
+https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda#98f75f2ca3a222992e2230d7afc54bb8
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda#0d8bbf1699b16ac225031ae0c73729f8
 https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.1-pyhcf101f3_0.conda#bdb3de24557a6b6e6283d2ed5daf8e01
 https://conda.anaconda.org/conda-forge/osx-64/liblapacke-3.11.0-5_h94b3770_openblas.conda#475b9378f397064c05a8c5ed9eecedef
@@ -134,7 +134,32 @@ https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0
 https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda#e52c2a160d6bd0649c9fafdf0c813357
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+https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda#6b6ece66ebcae2d5f326c77ef2c5a066
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+https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda#99b9953692a58a31aa94c0d127e71c32
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@@ -285,8 +309,6 @@ https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.9.0-pyhcf10
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 93bbb260b3..5718dc8df8 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
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+https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda#98f75f2ca3a222992e2230d7afc54bb8
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+https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
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 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c4061f499edec6b8ac7000f6d586829
@@ -285,8 +309,6 @@ https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.9.0-pyhcf10
 https://conda.anaconda.org/conda-forge/noarch/deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2#7b6747d7cc2076341029cff659669e8b
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@@ -303,7 +325,6 @@ https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
 https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
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-https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda#72e780e9aa2d0a3295f59b1874e3768b
 https://conda.anaconda.org/conda-forge/noarch/mccabe-0.7.0-pyhd8ed1ab_1.conda#827064ddfe0de2917fb29f1da4f8f533
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@@ -379,18 +400,10 @@ https://conda.anaconda.org/conda-forge/noarch/requests-file-3.0.1-pyhd8ed1ab_0.c
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 https://conda.anaconda.org/conda-forge/noarch/rfc3986-2.0.0-pyhd8ed1ab_1.conda#43e14f832d7551e5a8910672bfc3d8c6
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index b85b6fc9b8..c8ec509af4 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -97,7 +97,7 @@ https://conda.anaconda.org/conda-forge/noarch/pydantic-2.12.5-pyhcf101f3_1.conda
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 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda#e6fd8cfb23b294da699e395dbc968d11
-https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2#cbb15afc697a71cc9a0e9bfd75ae59cc
+https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda#98f75f2ca3a222992e2230d7afc54bb8
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda#0d8bbf1699b16ac225031ae0c73729f8
 https://conda.anaconda.org/conda-forge/noarch/smart_open-7.5.1-pyhcf101f3_0.conda#bdb3de24557a6b6e6283d2ed5daf8e01
 https://conda.anaconda.org/conda-forge/win-64/libiconv-1.18-hc1393d2_2.conda#64571d1dd6cdcfa25d0664a5950fdaa2
@@ -141,7 +141,33 @@ https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0
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 https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda#f4e90937bbfc3a4a92539545a37bb448
 https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.17.1-pyhdfd78af_0.conda#5f1feb51c9234d879c68f508b7a3402e
-https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda#1a318ca1376d0cd58aa85e3857b08520
+https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda#6b6ece66ebcae2d5f326c77ef2c5a066
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+https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-2.0.0-pyhcf101f3_0.conda#4fdd327852ffefc83173a7c029690d0c
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+https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda#38ba1f1279491d848303cd050dfe56cc
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+https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda#99b9953692a58a31aa94c0d127e71c32
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@@ -180,7 +206,6 @@ https://conda.anaconda.org/conda-forge/win-64/libarchive-3.8.6-gpl_he24518a_100.
 https://conda.anaconda.org/conda-forge/win-64/snappy-1.2.2-h7fa0ca8_1.conda#3075846de68f942150069d4289aaad63
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-https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh7428d3b_0.conda#90e5571556f7a45db92ee51cb8f97af6
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 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda#8c4061f499edec6b8ac7000f6d586829
@@ -283,8 +308,6 @@ https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-3.9.0-pyhcf10
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-https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda#30cd29cb87d819caead4d55184c1d115
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda#63ccfdc3a3ce25b027b8767eb722fca8
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@@ -301,7 +324,6 @@ https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a
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-https://conda.anaconda.org/conda-forge/noarch/tomli-2.4.0-pyhcf101f3_0.conda#72e780e9aa2d0a3295f59b1874e3768b
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@@ -370,19 +392,10 @@ https://conda.anaconda.org/conda-forge/noarch/requests-file-3.0.1-pyhd8ed1ab_0.c
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diff --git a/envs/environment.yaml b/envs/environment.yaml
index 81c87059c2..74b1642d47 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -72,4 +72,5 @@ dependencies:
 - snakemake-logger-plugin-pypsa >=0.1.0
 - pydeflate >=2.3.4
 - grpcio <1.78
+- snakemake-logger-plugin-snkmt ==0.1.6
 - snakemake-executor-plugin-slurm >=1.9.2
diff --git a/pixi.lock b/pixi.lock
index 09c7889262..76f171ae9c 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -5,6 +5,8 @@ environments:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -14,6 +16,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py313hd6074c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.21.0-pyhaa4b35c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
@@ -55,6 +59,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h52c5a47_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.18.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py313h18e8e13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/beaupy-3.11.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.3.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-hbca2aae_1.conda
@@ -129,6 +134,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/emoji-2.15.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/et_xmlfile-2.0.0-pyhd8ed1ab_1.conda
@@ -357,6 +363,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.1.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/linopy-0.6.5-pyhc364b38_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/loguru-0.7.3-pyh707e725_0.conda
@@ -364,6 +371,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-4.4.5-py313h28739b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lzo-2.10-h280c20c_1002.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mako-1.3.10-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.10.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/marko-2.2.2-pyhd8ed1ab_0.conda
@@ -372,6 +380,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.8-py313h683a580_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.2.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mccabe-0.7.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/metis-5.1.0-hd0bcaf9_1007.conda
@@ -485,6 +494,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-slugify-8.0.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-utils-3.9.1-pyhff2d567_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-yakh-0.4.1-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_1.conda
@@ -493,6 +503,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-27.1.0-py312hda471dd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.10.2-h17e89b9_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/questo-0.4.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.3-py313h7033f15_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rasterstats-0.20.0-pyhd8ed1ab_2.conda
@@ -538,16 +549,18 @@ environments:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.3.3-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.17.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.0-pyhdfd78af_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.2-h03e3b7b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.3-pyhd8ed1ab_0.conda
@@ -564,6 +577,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.1.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyhc90fa1f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/text-unidecode-1.3-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/textual-8.1.1-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/throttler-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.4.0-pyhd8ed1ab_0.conda
@@ -585,6 +599,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_inspect-0.9.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-2.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.12.0-py313h5d5ffb9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.1.0-py313h7037e92_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/unidecode-1.4.0-pyhcf101f3_1.conda
@@ -655,6 +670,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py313h537e735_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.21.0-pyhaa4b35c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ampl-asl-1.0.0-h240833e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-doc-0.0.4-pyhcf101f3_0.conda
@@ -693,6 +710,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-files-datalake-cpp-12.14.0-he1781d6_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.18.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/backports.zstd-1.3.0-py313h591e92b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/beaupy-3.11.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.3.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-hbca2aae_1.conda
@@ -764,6 +782,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.3.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/emoji-2.15.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.7.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/epoxy-1.5.10-h8616949_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/et_xmlfile-2.0.0-pyhd8ed1ab_1.conda
@@ -960,6 +979,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libxslt-1.1.43-h486b42e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libzip-1.11.2-h31df5bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-hd23fc13_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.1.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/linopy-0.6.5-pyhc364b38_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-22.1.0-h0d3cbff_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
@@ -968,6 +988,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/lz4-4.4.5-py313hab77a93_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/lz4-c-1.10.0-h240833e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/lzo-2.10-h4132b18_1002.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mako-1.3.10-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.10.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/marko-2.2.2-pyhd8ed1ab_0.conda
@@ -976,6 +997,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.10.8-py313h4ad75b8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.2.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mccabe-0.7.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/metis-5.1.0-h3023b02_1007.conda
@@ -1088,6 +1110,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-slugify-8.0.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-utils-3.9.1-pyhff2d567_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-yakh-0.4.1-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_1.conda
@@ -1095,6 +1118,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.3-py313h7c6a591_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-27.1.0-py312h2ac7433_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h3c5361c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/questo-0.4.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/rapidfuzz-3.14.3-py313hc4a83b5_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/rasterio-1.5.0-py313hab02871_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rasterstats-0.20.0-pyhd8ed1ab_2.conda
@@ -1139,16 +1163,18 @@ environments:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
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+  - rich >=12.2.0
+  - python-yakh <0.5.0,>=0.4.1
+  - python
+  license: MIT
+  license_family: MIT
+  size: 17079
+  timestamp: 1764617780410
 - conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.3-py312h1289d80_1.conda
   sha256: fa7c42b56294b600c1023279ce685a70aacef27a6b3d56e8fbe5a43f90cc3d18
   md5: bce14345fd01c051c51884878cfd053d
@@ -29995,15 +30197,15 @@ packages:
   license_family: MIT
   size: 25394
   timestamp: 1772990565157
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.4-pyhdfd78af_0.tar.bz2
-  sha256: e582e4e11ced71185992240b07e8bc55aee667c55bc9107529183cebb167476e
-  md5: cbb15afc697a71cc9a0e9bfd75ae59cc
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.0-pyhd4c3c12_0.conda
+  sha256: a6a0bf0393586974b278715df5131cc50e69fba515ecc5d0e974d1825ad0ea21
+  md5: 98f75f2ca3a222992e2230d7afc54bb8
   depends:
   - python >=3.11.0,<4.0.0
   - snakemake-interface-common >=1.17.4,<2.0.0
   license: MIT
-  size: 16076
-  timestamp: 1753366768027
+  size: 18660
+  timestamp: 1759090830197
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
   sha256: 7b7be41b59f2d904acb014ee182561610c930bef5f607742011ee23befe73831
   md5: e6fd8cfb23b294da699e395dbc968d11
@@ -30035,15 +30237,27 @@ packages:
   license_family: MIT
   size: 22251
   timestamp: 1771594084558
-- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.1.0-pyhdfd78af_0.conda
-  sha256: 03571ed180ee205fbf74e3c5607f1f88cd161016d9ad86eb2036212bc5db7bdd
-  md5: 1a318ca1376d0cd58aa85e3857b08520
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
+  sha256: 966d9d97e4595e8a6428a5d0527aeda7757b797b3640e74a30601aaad3955621
+  md5: 99b9953692a58a31aa94c0d127e71c32
   depends:
   - python >=3.11
-  - snakemake-interface-logger-plugins >=1.2.0,<2
+  - snakemake-interface-logger-plugins >=2,<3
+  license: MIT
+  size: 21702
+  timestamp: 1773888550966
+- conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
+  sha256: a14f31c9c3b839e5d13638a596c240801ae38205c49f6dadcfd36ab23ffe65c7
+  md5: 8fbd31325e6fbb325e15625471b44dfc
+  depends:
+  - python
+  - snakemake-interface-logger-plugins >=2.0.0,<3.0.0
+  - snkmt >=0.2.3,<1.0.0
+  - sqlalchemy >=2.0.38,<3.0.0
   license: MIT
-  size: 21016
-  timestamp: 1767973148161
+  license_family: MIT
+  size: 17232
+  timestamp: 1767824224092
 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.17.1-pyhdfd78af_0.conda
   sha256: 15f852816b2db04300e3114d737dd92c387a7cdaf3bd889c69fc852818b760b6
   md5: 5f1feb51c9234d879c68f508b7a3402e
@@ -30167,6 +30381,23 @@ packages:
   license_family: Apache
   size: 15698
   timestamp: 1762941572482
+- conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
+  sha256: cd84964378bdd54219463d924b84553a127644b0abcca52f45b99b7bc50a66e7
+  md5: 38ba1f1279491d848303cd050dfe56cc
+  depends:
+  - aiosqlite >=0.21.0,<0.22.0
+  - alembic >=1.16.1,<2.0.0
+  - beaupy >=3.0.0,<4.0.0
+  - loguru >=0.7.3,<0.8.0
+  - platformdirs >=4.3.8,<5.0.0
+  - python
+  - sqlalchemy >=2.0.38
+  - textual >=3.1.1
+  - typer >=0.15.3
+  license: MIT
+  license_family: MIT
+  size: 44250
+  timestamp: 1773415752189
 - conda: https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-3.0.1-pyhd8ed1ab_0.conda
   sha256: 17007a4cfbc564dc3e7310dcbe4932c6ecb21593d4fec3c68610720f19e73fb2
   md5: 755cf22df8693aa0d1aec1c123fa5863
@@ -30858,6 +31089,26 @@ packages:
   license_family: OTHER
   size: 65532
   timestamp: 1733750024391
+- conda: https://conda.anaconda.org/conda-forge/noarch/textual-8.1.1-pyhcf101f3_1.conda
+  sha256: c75250e2b34faa52324fc95fce138cded1bdb226547790cc9e437ab0e20c11b1
+  md5: 4a666e8fdaa357e0fe397d16ca40bd7c
+  depends:
+  - pygments >=2.19.2,<3.0.0
+  - typing_extensions >=4.4.0,<5.0.0
+  - platformdirs >=3.6.0,<5
+  - python >=3.10,<4.0.0
+  - markdown-it-py >=2.1.0
+  - linkify-it-py >=1,<3
+  - mdit-py-plugins
+  - rich >=14.2.0
+  - python
+  constrains:
+  - tree_sitter >=0.25.0
+  - tree_sitter_languages 1.10.2.*
+  license: MIT
+  license_family: MIT
+  size: 528806
+  timestamp: 1773220924332
 - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda
   sha256: 6016672e0e72c4cf23c0cf7b1986283bd86a9c17e8d319212d78d8e9ae42fdfd
   md5: 9d64911b31d57ca443e9f1e36b04385f
@@ -31221,6 +31472,15 @@ packages:
   license: LicenseRef-Public-Domain
   size: 119135
   timestamp: 1767016325805
+- conda: https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-2.0.0-pyhcf101f3_0.conda
+  sha256: 9e5a0e70e876fca50de075b1cc6641cdc009a16c18f4d52ab03edb777729a1bc
+  md5: 4fdd327852ffefc83173a7c029690d0c
+  depends:
+  - python >=3.10
+  license: MIT
+  license_family: MIT
+  size: 13378
+  timestamp: 1772479008776
 - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
   sha256: 3005729dce6f3d3f5ec91dfc49fc75a0095f9cd23bab49efb899657297ac91a5
   md5: 71b24316859acd00bdb8b38f5e2ce328
diff --git a/pixi.toml b/pixi.toml
index 8db09824e1..d59fc0e13e 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -110,6 +110,7 @@ natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
 pydeflate = ">=2.3.4"
 grpcio = "<1.78"
+snakemake-logger-plugin-snkmt = "==0.1.6" # For better pypsa-app integration
 
 [target.unix.dependencies]
 snakemake-executor-plugin-slurm = ">=1.9.2"

From c5b534d159156c4f07e60fd0f5e8f487315ce596 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20R=C3=BCdt?=
 <117752024+daniel-rdt@users.noreply.github.com>
Date: Mon, 23 Mar 2026 10:32:26 +0100
Subject: [PATCH 041/105] test: trusted user (#2125)

---
 .github/pypsa-bot.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/pypsa-bot.yml b/.github/pypsa-bot.yml
index 79cb3a9e9b..a835ee0fc0 100644
--- a/.github/pypsa-bot.yml
+++ b/.github/pypsa-bot.yml
@@ -17,6 +17,8 @@ tasks:
     - "*.yml"
 
 app:
+  trusted_users:
+  - daniel-rdt
   runs:
   - name: "config.validator.yaml"
     configfile: "config/test/config.validator.yaml"

From 192857b58566334b4aeef600ab709dc274707906 Mon Sep 17 00:00:00 2001
From: Thomas Ginster <4083648+thogin@users.noreply.github.com>
Date: Wed, 25 Mar 2026 15:14:28 +0100
Subject: [PATCH 042/105] fix: clamp s/p_nom_max in brownfield to prevent
 floating-point infeasibility (#2115)

* fix: clamp s/p_nom_max in brownfield to prevent floating-point infeasibility

When brownfield carries forward s_nom_opt from a previous horizon as
s_nom_min, solver floating-point tolerance can make s_nom_min exceed
s_nom_max by a tiny amount (e.g., 0.00013 MW on a 33,585 MW line).
This creates an infeasible constraint that crashes the solver.

Extends the fix from PRs #840 and #952 (which handle global transmission
constraints) to also cover per-line s_nom_max and DC link p_nom_max.

* fix: clip H2/gas retrofit remaining capacity to non-negative

When barrier solutions without crossover produce slightly imprecise
p_nom_opt values, the already-retrofitted H2 pipeline capacity can
marginally exceed the original pipe capacity. This makes
remaining_capacity negative, setting p_nom_max < p_nom_min = 0,
which causes infeasibility at the next planning horizon.

Observed on 115-cluster myopic runs with BarConvTol=1e-4:
  H2 pipeline retrofitted ES2 7 -> FR2 1: p_nom_max = -0.000649 MW
  H2 pipeline retrofitted GB1 3 -> GB1 7: p_nom_max = -0.000169 MW

Apply the same clip(lower=0) pattern used for AC lines and DC links.

---------

Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 scripts/add_brownfield.py | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/scripts/add_brownfield.py b/scripts/add_brownfield.py
index c8871070fc..d1a28bb45b 100644
--- a/scripts/add_brownfield.py
+++ b/scripts/add_brownfield.py
@@ -56,8 +56,14 @@ def add_brownfield(
 
     # electric transmission grid set optimised capacities of previous as minimum
     n.lines.s_nom_min = n_p.lines.s_nom_opt
+    # Clamp s_nom_max to be at least s_nom_min to prevent solver infeasibility
+    # from floating-point differences between s_nom_opt and s_nom_max
+    n.lines.s_nom_max = n.lines.s_nom_max.clip(lower=n.lines.s_nom_min)
     dc_i = n.links[n.links.carrier == "DC"].index
     n.links.loc[dc_i, "p_nom_min"] = n_p.links.loc[dc_i, "p_nom_opt"]
+    n.links.loc[dc_i, "p_nom_max"] = n.links.loc[dc_i, "p_nom_max"].clip(
+        lower=n.links.loc[dc_i, "p_nom_min"]
+    )
 
     for c in n_p.components[["Link", "Generator", "Store"]]:
         if c.static.empty:
@@ -142,9 +148,10 @@ def add_brownfield(
             .groupby(level=0)
             .sum()
         )
-        remaining_capacity = pipe_capacity - already_retrofitted.reindex(
-            index=pipe_capacity.index
-        ).fillna(0)
+        remaining_capacity = (
+            pipe_capacity
+            - already_retrofitted.reindex(index=pipe_capacity.index).fillna(0)
+        ).clip(lower=0)
         n.links.loc[h2_retrofitted, "p_nom_max"] = remaining_capacity
 
         # reduce gas network capacity
@@ -160,7 +167,7 @@ def add_brownfield(
                 pipe_capacity
                 - CH4_per_H2
                 * already_retrofitted.reindex(index=pipe_capacity.index).fillna(0)
-            )
+            ).clip(lower=0)
             n.links.loc[gas_pipes_i, "p_nom"] = remaining_capacity
             n.links.loc[gas_pipes_i, "p_nom_max"] = remaining_capacity
 

From e8b2730e0f0085ae5c884a52bfcc449bd20b877c Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Mon, 30 Mar 2026 10:32:57 +0200
Subject: [PATCH 043/105] ci: exclude packages newer than 7 days in lockfile
 update workflow (#2130)

* ci: exclude packages newer than 7 days in lockfile update workflow

* add comment

* docs: add release note
---
 .github/workflows/update-lockfile.yaml | 7 ++++++-
 doc/release_notes.rst                  | 4 +++-
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 0f7b55e8f1..89d4a16657 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -20,10 +20,15 @@ jobs:
       with:
         pixi-version: v0.59.0
 
-    - name: Full resolve
+    - name: Full resolve (exclude packages newer than 7 days)
+      # Exclude recently published packages to avoid pulling in broken or
+      # yanked releases before upstream has had time to react
       run: |
+        EXCLUDE_DATE=$(date -u -d '7 days ago' +%Y-%m-%dT00:00:00Z)
+        sed -i "/^\[workspace\]/a exclude-newer = \"$EXCLUDE_DATE\"" pixi.toml
         rm pixi.lock
         pixi install --all
+        git checkout pixi.toml
 
     - name: Export conda environment files
       if: ${{ !vars.PYPSA_BOT_ID }}
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 20689122eb..c8cc618f4d 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,7 +8,9 @@ Release Notes
 
 .. Upcoming Release
 .. =================
-* The industry reference year and the ammonia production data have been updated to 2023 (https://github.com/PyPSA/pypsa-eur/pull/2103) 
+* The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases (https://github.com/PyPSA/pypsa-eur/pull/2130).
+
+* The industry reference year and the ammonia production data have been updated to 2023 (https://github.com/PyPSA/pypsa-eur/pull/2103)
 
 * refactor: Use scripts path provider consistently (https://github.com/PyPSA/pypsa-eur/pull/2093).
 

From e2620cfea261c71159844cd1509910ea532a1d8e Mon Sep 17 00:00:00 2001
From: Thomas Ginster <4083648+thogin@users.noreply.github.com>
Date: Mon, 30 Mar 2026 17:35:10 +0200
Subject: [PATCH 044/105] fix: remove Dask client.shutdown() in
 build_renewable_profiles (#2131)

The explicit client.shutdown() call can fail with a TimeoutError when
Dask worker processes don't exit within the nanny timeout on shared
filesystems (e.g. BeeGFS), converting a completed run into a false
Snakemake failure. Both output files are written before the shutdown
call, so the failure only affects cleanup.

The other Dask-using scripts in the repo (build_hac_features,
build_line_rating, build_daily_heat_demand) rely on process exit for
cleanup and do not call client.shutdown().
---
 scripts/build_renewable_profiles.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/scripts/build_renewable_profiles.py b/scripts/build_renewable_profiles.py
index 724d002e16..1f740f5c3f 100644
--- a/scripts/build_renewable_profiles.py
+++ b/scripts/build_renewable_profiles.py
@@ -326,6 +326,3 @@
         ds["profile"] = ds["profile"].where(ds["profile"] >= min_p_max_pu, 0)
 
     ds.to_netcdf(snakemake.output.profile)
-
-    if client is not None:
-        client.shutdown()

From cb9ebde57967596012a5806773d5cd23de6b824a Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 1 Apr 2026 10:33:23 +0200
Subject: [PATCH 045/105] chore(deps): bump prefix-dev/setup-pixi in the
 github-actions group (#2132)

Bumps the github-actions group with 1 update: [prefix-dev/setup-pixi](https://github.com/prefix-dev/setup-pixi).


Updates `prefix-dev/setup-pixi` from 0.9.4 to 0.9.5
- [Release notes](https://github.com/prefix-dev/setup-pixi/releases)
- [Commits](https://github.com/prefix-dev/setup-pixi/compare/v0.9.4...v0.9.5)

---
updated-dependencies:
- dependency-name: prefix-dev/setup-pixi
  dependency-version: 0.9.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/release.yaml         | 2 +-
 .github/workflows/test.yaml            | 4 ++--
 .github/workflows/update-lockfile.yaml | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 142228abb8..2aad02ea3f 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -63,7 +63,7 @@ jobs:
         token: ${{ steps.generate-token.outputs.token }}
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.4
+      uses: prefix-dev/setup-pixi@v0.9.5
       with:
         pixi-version: v0.59.0
         cache: true
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index c64fa4bff1..5dadca287e 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -30,7 +30,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.4
+      uses: prefix-dev/setup-pixi@v0.9.5
       with:
         pixi-version: v0.59.0
         cache: true
@@ -87,7 +87,7 @@ jobs:
 
     - name: Setup Pixi
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
-      uses: prefix-dev/setup-pixi@v0.9.4
+      uses: prefix-dev/setup-pixi@v0.9.5
       with:
         pixi-version: v0.59.0
         cache: true
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 89d4a16657..4afb362c6c 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -16,7 +16,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.4
+      uses: prefix-dev/setup-pixi@v0.9.5
       with:
         pixi-version: v0.59.0
 

From c8fd89c24f52bc091d834ef58921990ac81d6877 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?=
 <jonas.hoersch@openenergytransition.org>
Date: Wed, 8 Apr 2026 15:49:43 +0100
Subject: [PATCH 046/105] perf: use chunks="auto" in a single thread (#2137)

* perf: use auto chunks and a single dask thread

* Update config.default.yaml

* [pypsa-bot] run `generate-config`

- `pixi run generate-config`

* Update release_notes.rst

---------

Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 config/config.default.yaml              |  2 +-
 config/schema.default.json              |  4 ++--
 doc/release_notes.rst                   |  2 ++
 scripts/_helpers.py                     | 22 +++++++++++++++++++---
 scripts/build_daily_heat_demand.py      |  7 +++----
 scripts/build_hac_features.py           |  9 +++------
 scripts/build_line_rating.py            |  8 ++------
 scripts/build_renewable_profiles.py     | 16 ++++++++--------
 scripts/build_solar_thermal_profiles.py |  7 +++----
 scripts/build_temperature_profiles.py   |  9 ++++-----
 scripts/lib/validation/config/atlite.py |  2 +-
 11 files changed, 48 insertions(+), 40 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index c74c15dd63..146429bbc1 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -187,7 +187,7 @@ electricity:
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#atlite
 atlite:
   default_cutout: "europe-2013-sarah3-era5"
-  nprocesses: 16
+  nprocesses: 1
   show_progress: false
   plot_availability_matrix: false
   cutouts:
diff --git a/config/schema.default.json b/config/schema.default.json
index bf9786194a..0468c33193 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -175,7 +175,7 @@
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
-          "default": 16,
+          "default": 1,
           "description": "Number of parallel processes in cutout preparation.",
           "type": "integer"
         },
@@ -8787,7 +8787,7 @@
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
-          "default": 16,
+          "default": 1,
           "description": "Number of parallel processes in cutout preparation.",
           "type": "integer"
         },
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index c8cc618f4d..305e48949a 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -18,6 +18,8 @@ Release Notes
 
 * feat: Add options for carrier specific load shedding and load sinks configurable via `load_shedding` and `load_sinks` respectively (https://github.com/PyPSA/pypsa-eur/pull/2105).
 
+* perf: Optimize dask settings for computing weather-dependent profiles (https://github.com/PyPSA/pypsa-eur/pull/2137).
+
 PyPSA-Eur v2026.02.0 (18th February 2026)
 =========================================
 
diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index ad314aab28..4f76c288a9 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -2,6 +2,7 @@
 #
 # SPDX-License-Identifier: MIT
 
+import atexit
 import contextlib
 import copy
 import logging
@@ -12,6 +13,7 @@
 from functools import partial, wraps
 from pathlib import Path
 from tempfile import NamedTemporaryFile
+from typing import Literal
 
 import atlite
 import fiona
@@ -21,6 +23,7 @@
 import requests
 import xarray as xr
 import yaml
+from dask.distributed import Client, LocalCluster
 from snakemake.utils import update_config
 from tqdm import tqdm
 
@@ -1025,7 +1028,9 @@ def rename_techs(label: str) -> str:
 
 
 def load_cutout(
-    cutout_files: str | list[str], time: None | pd.DatetimeIndex = None
+    cutout_files: str | list[str],
+    time: None | pd.DatetimeIndex = None,
+    chunks: Literal["auto"] | dict | None = "auto",
 ) -> atlite.Cutout:
     """
     Load and optionally combine multiple cutout files.
@@ -1044,9 +1049,9 @@ def load_cutout(
         Merged cutout with optional time selection applied.
     """
     if isinstance(cutout_files, str):
-        cutout = atlite.Cutout(cutout_files)
+        cutout = atlite.Cutout(cutout_files, chunks=chunks)
     elif isinstance(cutout_files, list):
-        cutout_da = [atlite.Cutout(c).data for c in cutout_files]
+        cutout_da = [atlite.Cutout(c, chunks=chunks).data for c in cutout_files]
         combined_data = xr.concat(cutout_da, dim="time", data_vars="minimal")
         cutout = atlite.Cutout(NamedTemporaryFile().name, data=combined_data)
 
@@ -1056,6 +1061,17 @@ def load_cutout(
     return cutout
 
 
+def setup_dask(nprocesses: int) -> dict:
+    if nprocesses > 1:
+        cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
+        client = Client(cluster, asynchronous=True)
+        atexit.register(client.shutdown)
+    else:
+        client = None
+
+    return dict(scheduler=client)
+
+
 def load_costs(cost_file: str) -> pd.DataFrame:
     """
     Load prepared cost data from CSV.
diff --git a/scripts/build_daily_heat_demand.py b/scripts/build_daily_heat_demand.py
index 2ff6f73d4c..21791ab063 100644
--- a/scripts/build_daily_heat_demand.py
+++ b/scripts/build_daily_heat_demand.py
@@ -19,13 +19,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -43,8 +43,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     cutout_name = snakemake.input.cutout
 
@@ -71,7 +70,7 @@
     heat_demand = cutout.heat_demand(
         matrix=M.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     ).sel(time=daily)
 
diff --git a/scripts/build_hac_features.py b/scripts/build_hac_features.py
index 82c4d4e574..9d936cfaea 100644
--- a/scripts/build_hac_features.py
+++ b/scripts/build_hac_features.py
@@ -9,13 +9,13 @@
 
 import geopandas as gpd
 from atlite.aggregate import aggregate_matrix
-from dask.distributed import Client
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -31,10 +31,7 @@
     params = snakemake.params
     nprocesses = int(snakemake.threads)
 
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
+    dask_kwargs = setup_dask(nprocesses)
 
     time = get_snapshots(params.snapshots, params.drop_leap_day)
 
@@ -47,6 +44,6 @@
         aggregate_matrix, matrix=I, index=regions.index
     )
 
-    ds = ds.load(scheduler=client)
+    ds = ds.load(**dask_kwargs)
 
     ds.to_netcdf(snakemake.output[0])
diff --git a/scripts/build_line_rating.py b/scripts/build_line_rating.py
index 2d15f7113a..82b7b1c037 100755
--- a/scripts/build_line_rating.py
+++ b/scripts/build_line_rating.py
@@ -33,7 +33,6 @@
 import numpy as np
 import pypsa
 import xarray as xr
-from dask.distributed import Client
 from shapely.geometry import LineString as Line
 from shapely.geometry import Point
 
@@ -42,6 +41,7 @@
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -144,11 +144,7 @@ def calculate_line_rating(
     nprocesses = int(snakemake.threads)
     show_progress = not snakemake.config["run"].get("disable_progressbar", True)
     show_progress = show_progress and snakemake.config["atlite"]["show_progress"]
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
-    dask_kwargs = {"scheduler": client}
+    dask_kwargs = setup_dask(nprocesses)
 
     n = pypsa.Network(snakemake.input.base_network)
     time = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
diff --git a/scripts/build_renewable_profiles.py b/scripts/build_renewable_profiles.py
index 1f740f5c3f..0ea3119dc8 100644
--- a/scripts/build_renewable_profiles.py
+++ b/scripts/build_renewable_profiles.py
@@ -97,13 +97,13 @@
 import pandas as pd
 import xarray as xr
 from atlite.gis import ExclusionContainer
-from dask.distributed import Client
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 from scripts.build_shapes import _simplify_polys
 
@@ -140,10 +140,7 @@
     if correction_factor != 1.0:
         logger.info(f"correction_factor is set as {correction_factor}")
 
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
+    dask_kwargs = setup_dask(nprocesses)
 
     sns = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
 
@@ -173,15 +170,17 @@
     )
 
     func = getattr(cutout, resource.pop("method"))
-    if client is not None:
-        resource["dask_kwargs"] = {"scheduler": client}
 
     logger.info(
         f"Calculate average capacity factor per grid cell for technology {technology}..."
     )
     start = time.time()
 
-    capacity_factor = correction_factor * func(capacity_factor=True, **resource)
+    capacity_factor = correction_factor * func(
+        capacity_factor=True,
+        dask_kwargs=dask_kwargs,
+        **resource,
+    )
 
     duration = time.time() - start
     logger.info(
@@ -265,6 +264,7 @@
             index=matrix.indexes["bus_bin"],
             per_unit=True,
             return_capacity=False,
+            dask_kwargs=dask_kwargs,
             **resource,
         )
         profile = profile.unstack("bus_bin")
diff --git a/scripts/build_solar_thermal_profiles.py b/scripts/build_solar_thermal_profiles.py
index 8e0b845ce3..5d4fef2b5b 100644
--- a/scripts/build_solar_thermal_profiles.py
+++ b/scripts/build_solar_thermal_profiles.py
@@ -16,13 +16,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -36,8 +36,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     config = snakemake.params.solar_thermal
     config.pop("cutout", None)
@@ -65,7 +64,7 @@
         **config,
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
diff --git a/scripts/build_temperature_profiles.py b/scripts/build_temperature_profiles.py
index f642578e2e..4e351f0e03 100644
--- a/scripts/build_temperature_profiles.py
+++ b/scripts/build_temperature_profiles.py
@@ -18,13 +18,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -41,8 +41,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     time = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
 
@@ -66,7 +65,7 @@
     temp_air = cutout.temperature(
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
@@ -75,7 +74,7 @@
     temp_soil = cutout.soil_temperature(
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
index 61b101e12e..0ced91c916 100644
--- a/scripts/lib/validation/config/atlite.py
+++ b/scripts/lib/validation/config/atlite.py
@@ -114,7 +114,7 @@ class AtliteConfig(BaseModel):
         description="Defines a default cutout. Can refer to a single cutout or a list of cutouts.",
     )
     nprocesses: int = Field(
-        16,
+        1,
         description="Number of parallel processes in cutout preparation.",
     )
     show_progress: bool = Field(

From 22c92a8b18f02c62c2128f30d771006c4411a74f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 13 Apr 2026 17:14:39 +0200
Subject: [PATCH 047/105] [pre-commit.ci] pre-commit autoupdate (#2134)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.14.10 → v0.15.9](https://github.com/astral-sh/ruff-pre-commit/compare/v0.14.10...v0.15.9)
- [github.com/codespell-project/codespell: v2.4.1 → v2.4.2](https://github.com/codespell-project/codespell/compare/v2.4.1...v2.4.2)
- [github.com/macisamuele/language-formatters-pre-commit-hooks: v2.15.0 → v2.16.0](https://github.com/macisamuele/language-formatters-pre-commit-hooks/compare/v2.15.0...v2.16.0)
- [github.com/snakemake/snakefmt: v0.11.2 → v1.0.0](https://github.com/snakemake/snakefmt/compare/v0.11.2...v1.0.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix: pre-commit

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
---
 .pre-commit-config.yaml             |   8 +-
 Snakefile                           |  14 +-
 rules/build_electricity.smk         | 392 ++++++-------
 rules/build_sector.smk              | 872 ++++++++++++++--------------
 rules/collect.smk                   |  32 +-
 rules/development.smk               |  72 +--
 rules/postprocess.smk               | 278 ++++-----
 rules/retrieve.smk                  | 348 +++++------
 rules/solve_electricity.smk         |  42 +-
 rules/solve_myopic.smk              | 104 ++--
 rules/solve_overnight.smk           |  30 +-
 rules/solve_perfect.smk             |  90 +--
 scripts/build_biomass_potentials.py |   8 +-
 scripts/build_gas_network.py        |   6 +-
 scripts/build_retro_cost.py         |   8 +-
 scripts/build_tyndp_network.py      |  12 +-
 scripts/clean_osm_data.py           |  12 +-
 scripts/cluster_gas_network.py      |   6 +-
 scripts/make_network_comparison.py  |   8 +-
 scripts/plot_hydrogen_network.py    |   8 +-
 scripts/solve_network.py            |   6 +-
 test/test_data_versions_layer.py    |  24 +-
 22 files changed, 1201 insertions(+), 1179 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 83334d47a7..04e3423181 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -16,7 +16,7 @@ repos:
 # Run ruff to lint and format
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.14.10
+  rev: v0.15.9
   hooks:
     # Run the linter.
   - id: ruff
@@ -26,7 +26,7 @@ repos:
 
   # Find common spelling mistakes in comments and docstrings
 - repo: https://github.com/codespell-project/codespell
-  rev: v2.4.1
+  rev: v2.4.2
   hooks:
   - id: codespell
     args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,ons'] # Ignore capital case words, e.g. country codes
@@ -43,7 +43,7 @@ repos:
 
   # YAML formatting
 - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
-  rev: v2.15.0
+  rev: v2.16.0
   hooks:
   - id: pretty-format-yaml
     exclude: (\.lock\.yaml)$
@@ -51,7 +51,7 @@ repos:
 
   # Format Snakemake rule / workflow files
 - repo: https://github.com/snakemake/snakefmt
-  rev: v0.11.2
+  rev: v1.0.0
   hooks:
   - id: snakefmt
 
diff --git a/Snakefile b/Snakefile
index 337f59e8a7..bffdc038a9 100644
--- a/Snakefile
+++ b/Snakefile
@@ -92,6 +92,7 @@ if config["foresight"] == "perfect":
 
 
 rule all:
+    default_target: True
     input:
         expand(RESULTS + "graphs/costs.pdf", run=config["run"]["name"]),
         expand(resources("maps/power-network.pdf"), run=config["run"]["name"]),
@@ -222,7 +223,6 @@ rule all:
         ),
         lambda w: balance_map_paths("static", w),
         lambda w: balance_map_paths("interactive", w),
-    default_target: True
 
 
 rule create_scenarios:
@@ -273,8 +273,6 @@ rule dump_graph_config:
 
 rule rulegraph:
     """Generates Rule DAG in DOT, PDF, PNG, and SVG formats using the final configuration."""
-    message:
-        "Creating RULEGRAPH dag in multiple formats using the final configuration."
     input:
         config_file=rules.dump_graph_config.output.config_file,
     output:
@@ -282,6 +280,8 @@ rule rulegraph:
         pdf=resources("dag_rulegraph.pdf"),
         png=resources("dag_rulegraph.png"),
         svg=resources("dag_rulegraph.svg"),
+    message:
+        "Creating RULEGRAPH dag in multiple formats using the final configuration."
     shell:
         r"""
         # Generate DOT file using nested snakemake with the dumped final config
@@ -310,8 +310,6 @@ rule rulegraph:
 
 rule filegraph:
     """Generates File DAG in DOT, PDF, PNG, and SVG formats using the final configuration."""
-    message:
-        "Creating FILEGRAPH dag in multiple formats using the final configuration."
     input:
         config_file=rules.dump_graph_config.output.config_file,
     output:
@@ -319,6 +317,8 @@ rule filegraph:
         pdf=resources("dag_filegraph.pdf"),
         png=resources("dag_filegraph.png"),
         svg=resources("dag_filegraph.svg"),
+    message:
+        "Creating FILEGRAPH dag in multiple formats using the final configuration."
     shell:
         r"""
         # Generate DOT file using nested snakemake with the dumped final config
@@ -345,10 +345,10 @@ rule filegraph:
 
 
 rule doc:
-    message:
-        "Build documentation."
     output:
         directory("doc/_build"),
+    message:
+        "Build documentation."
     shell:
         "pixi run build-docs {output} html"
 
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 8739972001..bb6c4d270b 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -4,13 +4,6 @@
 
 
 rule build_electricity_demand:
-    message:
-        "Building electricity demand time series"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        countries=config_provider("countries"),
-        load=config_provider("load"),
     input:
         opsd=rules.retrieve_electricity_demand_opsd.output["csv"],
         neso=rules.retrieve_electricity_demand_neso.output["csv"],
@@ -28,18 +21,18 @@ rule build_electricity_demand:
         benchmarks("build_electricity_demand")
     resources:
         mem_mb=5000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        countries=config_provider("countries"),
+        load=config_provider("load"),
+    message:
+        "Building electricity demand time series"
     script:
         scripts("build_electricity_demand.py")
 
 
 rule build_powerplants:
-    message:
-        "Building powerplant list for {wildcards.clusters} clusters"
-    params:
-        powerplants_filter=config_provider("electricity", "powerplants_filter"),
-        custom_powerplants=config_provider("electricity", "custom_powerplants"),
-        everywhere_powerplants=config_provider("electricity", "everywhere_powerplants"),
-        countries=config_provider("countries"),
     input:
         network=resources("networks/base_s_{clusters}.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -55,6 +48,13 @@ rule build_powerplants:
     threads: 1
     resources:
         mem_mb=7000,
+    params:
+        powerplants_filter=config_provider("electricity", "powerplants_filter"),
+        custom_powerplants=config_provider("electricity", "custom_powerplants"),
+        everywhere_powerplants=config_provider("electricity", "everywhere_powerplants"),
+        countries=config_provider("countries"),
+    message:
+        "Building powerplant list for {wildcards.clusters} clusters"
     script:
         scripts("build_powerplants.py")
 
@@ -78,17 +78,6 @@ def input_base_network(w):
 
 
 rule base_network:
-    message:
-        "Building base network"
-    params:
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        lines=config_provider("lines"),
-        links=config_provider("links"),
-        transformers=config_provider("transformers"),
-        clustering=config_provider("clustering", "mode"),
-        admin_levels=config_provider("clustering", "administrative"),
     input:
         unpack(input_base_network),
         nuts3_shapes=resources("nuts3_shapes.geojson"),
@@ -107,13 +96,22 @@ rule base_network:
     threads: 4
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        lines=config_provider("lines"),
+        links=config_provider("links"),
+        transformers=config_provider("transformers"),
+        clustering=config_provider("clustering", "mode"),
+        admin_levels=config_provider("clustering", "administrative"),
+    message:
+        "Building base network"
     script:
         scripts("base_network.py")
 
 
 rule build_osm_boundaries:
-    message:
-        "Building OSM boundaries for {wildcards.country}"
     input:
         json=f"{OSM_BOUNDARIES_DATASET['folder']}/{{country}}_adm1.json",
         eez=ancient(rules.retrieve_eez.output["gpkg"]),
@@ -124,21 +122,13 @@ rule build_osm_boundaries:
     threads: 1
     resources:
         mem_mb=1500,
+    message:
+        "Building OSM boundaries for {wildcards.country}"
     script:
         scripts("build_osm_boundaries.py")
 
 
 rule build_bidding_zones:
-    message:
-        "Building bidding zones"
-    params:
-        countries=config_provider("countries"),
-        remove_islands=config_provider(
-            "clustering", "build_bidding_zones", "remove_islands"
-        ),
-        aggregate_to_tyndp=config_provider(
-            "clustering", "build_bidding_zones", "aggregate_to_tyndp"
-        ),
     input:
         bidding_zones_entsoepy=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
         bidding_zones_electricitymaps=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
@@ -149,16 +139,21 @@ rule build_bidding_zones:
     threads: 1
     resources:
         mem_mb=1500,
+    params:
+        countries=config_provider("countries"),
+        remove_islands=config_provider(
+            "clustering", "build_bidding_zones", "remove_islands"
+        ),
+        aggregate_to_tyndp=config_provider(
+            "clustering", "build_bidding_zones", "aggregate_to_tyndp"
+        ),
+    message:
+        "Building bidding zones"
     script:
         scripts("build_bidding_zones.py")
 
 
 rule build_shapes:
-    message:
-        "Building geographical shapes"
-    params:
-        config_provider("clustering", "mode"),
-        countries=config_provider("countries"),
     input:
         eez=ancient(rules.retrieve_eez.output["gpkg"]),
         nuts3_2021=rules.retrieve_eu_nuts_2021.output["shapes_level_3"],
@@ -187,6 +182,11 @@ rule build_shapes:
     threads: 1
     resources:
         mem_mb=1500,
+    params:
+        config_provider("clustering", "mode"),
+        countries=config_provider("countries"),
+    message:
+        "Building geographical shapes"
     script:
         scripts("build_shapes.py")
 
@@ -194,10 +194,6 @@ rule build_shapes:
 if CUTOUT_DATASET["source"] in ["build"]:
 
     rule build_cutout:
-        message:
-            "Building cutout data for {wildcards.cutout}"
-        params:
-            cutouts=config_provider("atlite", "cutouts"),
         output:
             cutout=CUTOUT_DATASET["folder"] / "{cutout}.nc",
         log:
@@ -207,13 +203,15 @@ if CUTOUT_DATASET["source"] in ["build"]:
         threads: config["atlite"].get("nprocesses", 4)
         resources:
             mem_mb=config["atlite"].get("nprocesses", 4) * 1000,
+        params:
+            cutouts=config_provider("atlite", "cutouts"),
+        message:
+            "Building cutout data for {wildcards.cutout}"
         script:
             scripts("build_cutout.py")
 
 
 rule build_ship_raster:
-    message:
-        "Building ship density raster"
     input:
         ship_density=rules.retrieve_ship_raster.output["zip_file"],
         cutout=lambda w: input_cutout(w),
@@ -221,19 +219,17 @@ rule build_ship_raster:
         resources("shipdensity_raster.tif"),
     log:
         logs("build_ship_raster.log"),
-    resources:
-        mem_mb=5000,
     benchmark:
         benchmarks("build_ship_raster")
+    resources:
+        mem_mb=5000,
+    message:
+        "Building ship density raster"
     script:
         scripts("build_ship_raster.py")
 
 
 rule determine_availability_matrix_MD_UA:
-    message:
-        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        renewable=config_provider("renewable"),
     input:
         copernicus=rules.download_copernicus_land_cover.output["tif"],
         wdpa=lambda w: (
@@ -277,6 +273,10 @@ rule determine_availability_matrix_MD_UA:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
+    params:
+        renewable=config_provider("renewable"),
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("determine_availability_matrix_MD_UA.py")
 
@@ -294,11 +294,6 @@ def input_ua_md_availability_matrix(w):
 
 
 rule determine_availability_matrix:
-    message:
-        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        renewable=config_provider("renewable"),
-        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
     input:
         unpack(input_ua_md_availability_matrix),
         corine=ancient(rules.retrieve_corine.output["tif_file"]),
@@ -346,17 +341,16 @@ rule determine_availability_matrix:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
+    params:
+        renewable=config_provider("renewable"),
+        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("determine_availability_matrix.py")
 
 
 rule build_renewable_profiles:
-    message:
-        "Building renewable profiles for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        renewable=config_provider("renewable"),
     input:
         availability_matrix=resources("availability_matrix_{clusters}_{technology}.nc"),
         offshore_shapes=resources("offshore_shapes.geojson"),
@@ -376,20 +370,22 @@ rule build_renewable_profiles:
         logs("build_renewable_profile_{clusters}_{technology}.log"),
     benchmark:
         benchmarks("build_renewable_profile_{clusters}_{technology}")
+    wildcard_constraints:
+        technology="(?!hydro).*",  # Any technology other than hydro
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
-    wildcard_constraints:
-        technology="(?!hydro).*",  # Any technology other than hydro
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        renewable=config_provider("renewable"),
+    message:
+        "Building renewable profiles for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("build_renewable_profiles.py")
 
 
 rule build_co2_prices:
-    message:
-        "Building CO2 price time series"
-    params:
-        rolling_window=config_provider("costs", "emission_prices", "rolling_window"),
     input:
         csv=rules.retrieve_co2_prices.output["csv"],
     output:
@@ -401,15 +397,15 @@ rule build_co2_prices:
     threads: 1
     resources:
         mem_mb=5000,
+    params:
+        rolling_window=config_provider("costs", "emission_prices", "rolling_window"),
+    message:
+        "Building CO2 price time series"
     script:
         scripts("build_co2_prices.py")
 
 
 rule build_fossil_fuel_prices:
-    message:
-        "Building fossil fuel price time series"
-    params:
-        rolling_window=config_provider("conventional", "fuel_price_rolling_window"),
     input:
         fuel_price_raw=rules.retrieve_worldbank_commodity_prices.output["xlsx"],
     output:
@@ -421,6 +417,10 @@ rule build_fossil_fuel_prices:
     threads: 1
     resources:
         mem_mb=5000,
+    params:
+        rolling_window=config_provider("conventional", "fuel_price_rolling_window"),
+    message:
+        "Building fossil fuel price time series"
     script:
         scripts("build_monthly_prices.py")
 
@@ -446,13 +446,6 @@ if COUNTRY_RUNOFF_DATASET["source"] == "build":
 
 
 rule build_hydro_profile:
-    message:
-        "Building hydropower profile"
-    params:
-        hydro=config_provider("renewable", "hydro"),
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         country_shapes=resources("country_shapes.geojson"),
         eia_hydro_generation="data/eia_hydro_annual_generation.csv",
@@ -469,16 +462,18 @@ rule build_hydro_profile:
         benchmarks("build_hydro_profile")
     resources:
         mem_mb=5000,
+    params:
+        hydro=config_provider("renewable", "hydro"),
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building hydropower profile"
     script:
         scripts("build_hydro_profile.py")
 
 
 rule build_line_rating:
-    message:
-        "Building dynamic line ratings"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         base_network=resources("networks/base.nc"),
         cutout=lambda w: input_cutout(
@@ -493,17 +488,16 @@ rule build_line_rating:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 1000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building dynamic line ratings"
     script:
         scripts("build_line_rating.py")
 
 
 rule build_transmission_projects:
-    message:
-        "Building transmission projects"
-    params:
-        transmission_projects=config_provider("transmission_projects"),
-        line_factor=config_provider("lines", "length_factor"),
-        s_max_pu=config_provider("lines", "s_max_pu"),
     input:
         base_network=resources("networks/base.nc"),
         offshore_shapes=resources("offshore_shapes.geojson"),
@@ -525,20 +519,20 @@ rule build_transmission_projects:
         logs("build_transmission_projects.log"),
     benchmark:
         benchmarks("build_transmission_projects")
+    threads: 1
     resources:
         mem_mb=4000,
-    threads: 1
+    params:
+        transmission_projects=config_provider("transmission_projects"),
+        line_factor=config_provider("lines", "length_factor"),
+        s_max_pu=config_provider("lines", "s_max_pu"),
+    message:
+        "Building transmission projects"
     script:
         scripts("build_transmission_projects.py")
 
 
 rule add_transmission_projects_and_dlr:
-    message:
-        "Adding transmission projects and dynamic line ratings"
-    params:
-        transmission_projects=config_provider("transmission_projects"),
-        dlr=config_provider("lines", "dynamic_line_rating"),
-        s_max_pu=config_provider("lines", "s_max_pu"),
     input:
         network=resources("networks/base.nc"),
         dlr=lambda w: (
@@ -566,6 +560,12 @@ rule add_transmission_projects_and_dlr:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        transmission_projects=config_provider("transmission_projects"),
+        dlr=config_provider("lines", "dynamic_line_rating"),
+        s_max_pu=config_provider("lines", "s_max_pu"),
+    message:
+        "Adding transmission projects and dynamic line ratings"
     script:
         scripts("add_transmission_projects_and_dlr.py")
 
@@ -581,11 +581,6 @@ def input_class_regions(w):
 
 
 rule build_electricity_demand_base:
-    message:
-        "Building electricity demand time series for base network"
-    params:
-        distribution_key=config_provider("load", "distribution_key"),
-        substation_only=config_provider("load", "substation_only"),
     input:
         base_network=resources("networks/base_s.nc"),
         regions=resources("regions_onshore_base_s.geojson"),
@@ -602,17 +597,16 @@ rule build_electricity_demand_base:
         benchmarks("build_electricity_demand_base_s")
     resources:
         mem_mb=5000,
+    params:
+        distribution_key=config_provider("load", "distribution_key"),
+        substation_only=config_provider("load", "substation_only"),
+    message:
+        "Building electricity demand time series for base network"
     script:
         scripts("build_electricity_demand_base.py")
 
 
 rule build_hac_features:
-    message:
-        "Aggregate all rastered cutout data to base regions Voronoi cells."
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        features=config_provider("clustering", "cluster_network", "hac_features"),
     input:
         cutout=lambda w: input_cutout(w),
         regions=resources("regions_onshore_base_s.geojson"),
@@ -625,14 +619,17 @@ rule build_hac_features:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=10000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        features=config_provider("clustering", "cluster_network", "hac_features"),
+    message:
+        "Aggregate all rastered cutout data to base regions Voronoi cells."
     script:
         scripts("build_hac_features.py")
 
 
 rule process_cost_data:
-    params:
-        costs=config_provider("costs"),
-        max_hours=config_provider("electricity", "max_hours"),
     input:
         network=resources("networks/base_s.nc"),
         costs=rules.retrieve_cost_data.output["costs"],
@@ -646,24 +643,14 @@ rule process_cost_data:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        costs=config_provider("costs"),
+        max_hours=config_provider("electricity", "max_hours"),
     script:
         scripts("process_cost_data.py")
 
 
 rule simplify_network:
-    message:
-        "Simplifying network"
-    params:
-        countries=config_provider("countries"),
-        mode=config_provider("clustering", "mode"),
-        administrative=config_provider("clustering", "administrative"),
-        simplify_network=config_provider("clustering", "simplify_network"),
-        cluster_network=config_provider("clustering", "cluster_network"),
-        aggregation_strategies=config_provider(
-            "clustering", "aggregation_strategies", default={}
-        ),
-        p_max_pu=config_provider("links", "p_max_pu", default=1.0),
-        p_min_pu=config_provider("links", "p_min_pu", default=-1.0),
     input:
         network=resources("networks/base_extended.nc"),
         regions_onshore=resources("regions_onshore.geojson"),
@@ -681,6 +668,19 @@ rule simplify_network:
     threads: 1
     resources:
         mem_mb=12000,
+    params:
+        countries=config_provider("countries"),
+        mode=config_provider("clustering", "mode"),
+        administrative=config_provider("clustering", "administrative"),
+        simplify_network=config_provider("clustering", "simplify_network"),
+        cluster_network=config_provider("clustering", "cluster_network"),
+        aggregation_strategies=config_provider(
+            "clustering", "aggregation_strategies", default={}
+        ),
+        p_max_pu=config_provider("links", "p_max_pu", default=1.0),
+        p_min_pu=config_provider("links", "p_min_pu", default=-1.0),
+    message:
+        "Simplifying network"
     script:
         scripts("simplify_network.py")
 
@@ -708,25 +708,6 @@ def input_custom_busmap(w):
 
 
 rule cluster_network:
-    message:
-        "Clustering network to {wildcards.clusters} clusters"
-    params:
-        countries=config_provider("countries"),
-        mode=config_provider("clustering", "mode"),
-        administrative=config_provider("clustering", "administrative"),
-        cluster_network=config_provider("clustering", "cluster_network"),
-        aggregation_strategies=config_provider(
-            "clustering", "aggregation_strategies", default={}
-        ),
-        focus_weights=config_provider("clustering", "focus_weights", default=None),
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        conventional_carriers=config_provider(
-            "electricity", "conventional_carriers", default=[]
-        ),
-        max_hours=config_provider("electricity", "max_hours"),
-        length_factor=config_provider("lines", "length_factor"),
-        cluster_mode=config_provider("clustering", "mode"),
-        copperplate_regions=config_provider("clustering", "copperplate_regions"),
     input:
         unpack(input_custom_busmap),
         network=resources("networks/base_s.nc"),
@@ -758,6 +739,25 @@ rule cluster_network:
     threads: 1
     resources:
         mem_mb=10000,
+    params:
+        countries=config_provider("countries"),
+        mode=config_provider("clustering", "mode"),
+        administrative=config_provider("clustering", "administrative"),
+        cluster_network=config_provider("clustering", "cluster_network"),
+        aggregation_strategies=config_provider(
+            "clustering", "aggregation_strategies", default={}
+        ),
+        focus_weights=config_provider("clustering", "focus_weights", default=None),
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        conventional_carriers=config_provider(
+            "electricity", "conventional_carriers", default=[]
+        ),
+        max_hours=config_provider("electricity", "max_hours"),
+        length_factor=config_provider("lines", "length_factor"),
+        cluster_mode=config_provider("clustering", "mode"),
+        copperplate_regions=config_provider("clustering", "copperplate_regions"),
+    message:
+        "Clustering network to {wildcards.clusters} clusters"
     script:
         scripts("cluster_network.py")
 
@@ -788,24 +788,6 @@ def input_conventional(w):
 
 
 rule add_electricity:
-    message:
-        "Adding electricity to network with {wildcards.clusters} clusters"
-    params:
-        line_length_factor=config_provider("lines", "length_factor"),
-        link_length_factor=config_provider("links", "length_factor"),
-        scaling_factor=config_provider("load", "scaling_factor"),
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        renewable=config_provider("renewable"),
-        electricity=config_provider("electricity"),
-        conventional=config_provider("conventional"),
-        foresight=config_provider("foresight"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        consider_efficiency_classes=config_provider(
-            "clustering", "consider_efficiency_classes"
-        ),
-        aggregation_strategies=config_provider("clustering", "aggregation_strategies"),
-        exclude_carriers=config_provider("clustering", "exclude_carriers"),
     input:
         unpack(input_profile_tech),
         unpack(input_class_regions),
@@ -834,27 +816,29 @@ rule add_electricity:
     threads: 1
     resources:
         mem_mb=10000,
+    params:
+        line_length_factor=config_provider("lines", "length_factor"),
+        link_length_factor=config_provider("links", "length_factor"),
+        scaling_factor=config_provider("load", "scaling_factor"),
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        renewable=config_provider("renewable"),
+        electricity=config_provider("electricity"),
+        conventional=config_provider("conventional"),
+        foresight=config_provider("foresight"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        consider_efficiency_classes=config_provider(
+            "clustering", "consider_efficiency_classes"
+        ),
+        aggregation_strategies=config_provider("clustering", "aggregation_strategies"),
+        exclude_carriers=config_provider("clustering", "exclude_carriers"),
+    message:
+        "Adding electricity to network with {wildcards.clusters} clusters"
     script:
         scripts("add_electricity.py")
 
 
 rule prepare_network:
-    message:
-        "Preparing network for model with {wildcards.clusters} clusters and options {wildcards.opts}"
-    params:
-        time_resolution=config_provider("clustering", "temporal", "resolution_elec"),
-        links=config_provider("links"),
-        lines=config_provider("lines"),
-        co2base=config_provider("electricity", "co2base"),
-        co2limit_enable=config_provider("electricity", "co2limit_enable", default=False),
-        co2limit=config_provider("electricity", "co2limit"),
-        gaslimit_enable=config_provider("electricity", "gaslimit_enable", default=False),
-        gaslimit=config_provider("electricity", "gaslimit"),
-        emission_prices=config_provider("costs", "emission_prices"),
-        adjustments=config_provider("adjustments", "electricity"),
-        autarky=config_provider("electricity", "autarky", default={}),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        transmission_limit=config_provider("electricity", "transmission_limit"),
     input:
         resources("networks/base_s_{clusters}_elec.nc"),
         costs=lambda w: resources(
@@ -874,15 +858,27 @@ rule prepare_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        time_resolution=config_provider("clustering", "temporal", "resolution_elec"),
+        links=config_provider("links"),
+        lines=config_provider("lines"),
+        co2base=config_provider("electricity", "co2base"),
+        co2limit_enable=config_provider("electricity", "co2limit_enable", default=False),
+        co2limit=config_provider("electricity", "co2limit"),
+        gaslimit_enable=config_provider("electricity", "gaslimit_enable", default=False),
+        gaslimit=config_provider("electricity", "gaslimit"),
+        emission_prices=config_provider("costs", "emission_prices"),
+        adjustments=config_provider("adjustments", "electricity"),
+        autarky=config_provider("electricity", "autarky", default={}),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        transmission_limit=config_provider("electricity", "transmission_limit"),
+    message:
+        "Preparing network for model with {wildcards.clusters} clusters and options {wildcards.opts}"
     script:
         scripts("prepare_network.py")
 
 
 rule clean_osm_data:
-    message:
-        "Cleaning raw OSM data for countries: " + ", ".join(config["countries"])
-    params:
-        voltages=config_provider("electricity", "voltages"),
     input:
         cables_way=expand(
             f"{OSM_DATASET['folder']}/{{country}}/cables_way.json",
@@ -921,19 +917,15 @@ rule clean_osm_data:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        voltages=config_provider("electricity", "voltages"),
+    message:
+        "Cleaning raw OSM data for countries: " + ", ".join(config["countries"])
     script:
         scripts("clean_osm_data.py")
 
 
 rule build_osm_network:
-    message:
-        "Building OSM network"
-    params:
-        countries=config_provider("countries"),
-        voltages=config_provider("electricity", "voltages"),
-        line_types=config_provider("lines", "types"),
-        under_construction=config_provider("osm_network_release", "under_construction"),
-        remove_after=config_provider("osm_network_release", "remove_after"),
     input:
         substations=resources(f"osm/clean/substations.geojson"),
         substations_polygon=resources(f"osm/clean/substations_polygon.geojson"),
@@ -963,15 +955,19 @@ rule build_osm_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        countries=config_provider("countries"),
+        voltages=config_provider("electricity", "voltages"),
+        line_types=config_provider("lines", "types"),
+        under_construction=config_provider("osm_network_release", "under_construction"),
+        remove_after=config_provider("osm_network_release", "remove_after"),
+    message:
+        "Building OSM network"
     script:
         scripts("build_osm_network.py")
 
 
 rule build_tyndp_network:
-    message:
-        "Building TYNDP network"
-    params:
-        countries=config_provider("countries"),
     input:
         reference_grid=rules.retrieve_tyndp.output.reference_grid,
         buses=rules.retrieve_tyndp.output.nodes,
@@ -996,5 +992,9 @@ rule build_tyndp_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        countries=config_provider("countries"),
+    message:
+        "Building TYNDP network"
     script:
         scripts("build_tyndp_network.py")
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 45c35281ac..59b6540fea 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -4,8 +4,6 @@
 
 
 rule build_population_layouts:
-    message:
-        "Building population layout data (total, urban, rural) from NUTS3 shapes and World Bank statistics"
     input:
         nuts3_shapes=resources("nuts3_shapes.geojson"),
         urban_percent=rules.retrieve_worldbank_urban_population.output["csv"],
@@ -16,18 +14,18 @@ rule build_population_layouts:
         pop_layout_rural=resources("pop_layout_rural.nc"),
     log:
         logs("build_population_layouts.log"),
-    resources:
-        mem_mb=20000,
     benchmark:
         benchmarks("build_population_layouts")
     threads: 8
+    resources:
+        mem_mb=20000,
+    message:
+        "Building population layout data (total, urban, rural) from NUTS3 shapes and World Bank statistics"
     script:
         scripts("build_population_layouts.py")
 
 
 rule build_clustered_population_layouts:
-    message:
-        "Clustering population layouts for {wildcards.clusters} clusters"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -38,17 +36,17 @@ rule build_clustered_population_layouts:
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
     log:
         logs("build_clustered_population_layouts_s_{clusters}.log"),
-    resources:
-        mem_mb=10000,
     benchmark:
         benchmarks("build_clustered_population_layouts/s_{clusters}")
+    resources:
+        mem_mb=10000,
+    message:
+        "Clustering population layouts for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_population_layouts.py")
 
 
 rule build_clustered_solar_rooftop_potentials:
-    message:
-        "Building solar rooftop potentials for {wildcards.clusters} clusters"
     input:
         pop_layout=resources("pop_layout_total.nc"),
         class_regions=resources("regions_by_class_{clusters}_solar.geojson"),
@@ -57,17 +55,17 @@ rule build_clustered_solar_rooftop_potentials:
         potentials=resources("solar_rooftop_potentials_s_{clusters}.csv"),
     log:
         logs("build_clustered_solar_rooftop_potentials_s_{clusters}.log"),
-    resources:
-        mem_mb=10000,
     benchmark:
         benchmarks("build_clustered_solar_rooftop_potentials/s_{clusters}")
+    resources:
+        mem_mb=10000,
+    message:
+        "Building solar rooftop potentials for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_solar_rooftop_potentials.py")
 
 
 rule build_simplified_population_layouts:
-    message:
-        "Building simplified population layouts for base scenario"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -76,36 +74,36 @@ rule build_simplified_population_layouts:
         cutout=lambda w: input_cutout(w),
     output:
         clustered_pop_layout=resources("pop_layout_base_s.csv"),
-    resources:
-        mem_mb=10000,
     log:
         logs("build_simplified_population_layouts_s"),
     benchmark:
         benchmarks("build_simplified_population_layouts/s")
+    resources:
+        mem_mb=10000,
+    message:
+        "Building simplified population layouts for base scenario"
     script:
         scripts("build_clustered_population_layouts.py")
 
 
 rule build_gas_network:
-    message:
-        "Building cleaned gas network from SciGRID-Gas data"
     input:
         gas_network=rules.retrieve_gas_infrastructure_data.output["gas_network"],
     output:
         cleaned_gas_network=resources("gas_network.csv"),
-    resources:
-        mem_mb=4000,
     log:
         logs("build_gas_network.log"),
     benchmark:
         benchmarks("build_gas_network")
+    resources:
+        mem_mb=4000,
+    message:
+        "Building cleaned gas network from SciGRID-Gas data"
     script:
         scripts("build_gas_network.py")
 
 
 rule build_gas_input_locations:
-    message:
-        "Building gas input locations for {wildcards.clusters} clusters"
     input:
         gem="data/gem/Europe-Gas-Tracker-2024-05.xlsx",
         entry=rules.retrieve_gas_infrastructure_data.output["entry"],
@@ -117,41 +115,38 @@ rule build_gas_input_locations:
         gas_input_nodes_simplified=resources(
             "gas_input_locations_s_{clusters}_simplified.csv"
         ),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_gas_input_locations_s_{clusters}.log"),
     benchmark:
         benchmarks("build_gas_input_locations/s_{clusters}")
+    resources:
+        mem_mb=2000,
+    message:
+        "Building gas input locations for {wildcards.clusters} clusters"
     script:
         scripts("build_gas_input_locations.py")
 
 
 rule cluster_gas_network:
-    message:
-        "Clustering gas network for {wildcards.clusters} clusters"
     input:
         cleaned_gas_network=resources("gas_network.csv"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         regions_offshore=resources("regions_offshore_base_s_{clusters}.geojson"),
     output:
         clustered_gas_network=resources("gas_network_base_s_{clusters}.csv"),
-    resources:
-        mem_mb=4000,
     log:
         logs("cluster_gas_network_{clusters}.log"),
     benchmark:
         benchmarks("cluster_gas_network/s_{clusters}")
+    resources:
+        mem_mb=4000,
+    message:
+        "Clustering gas network for {wildcards.clusters} clusters"
     script:
         scripts("cluster_gas_network.py")
 
 
 rule build_daily_heat_demand:
-    message:
-        "Building daily heat demand profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -160,24 +155,23 @@ rule build_daily_heat_demand:
         ),
     output:
         heat_demand=resources("daily_heat_demand_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 8
     log:
         logs("build_daily_heat_demand_total_s_{clusters}.loc"),
     benchmark:
         benchmarks("build_daily_heat_demand/total_s_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building daily heat demand profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_daily_heat_demand.py")
 
 
 rule build_hourly_heat_demand:
-    message:
-        "Building hourly heat demand profiles from daily demand for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
     input:
         heat_profile="data/heat_load_profile_BDEW.csv",
         heat_demand=resources("daily_heat_demand_total_base_s_{clusters}.nc"),
@@ -186,23 +180,24 @@ rule build_hourly_heat_demand:
         heat_dsm_profile=resources(
             "residential_heat_dsm_profile_total_base_s_{clusters}.csv"
         ),
-    resources:
-        mem_mb=2000,
-    threads: 8
     log:
         logs("build_hourly_heat_demand_total_s_{clusters}.loc"),
     benchmark:
         benchmarks("build_hourly_heat_demand/total_s_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+    message:
+        "Building hourly heat demand profiles from daily demand for {wildcards.clusters} clusters"
     script:
         scripts("build_hourly_heat_demand.py")
 
 
 rule build_temperature_profiles:
-    message:
-        "Building temperature profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -212,20 +207,43 @@ rule build_temperature_profiles:
     output:
         temp_soil=resources("temp_soil_total_base_s_{clusters}.nc"),
         temp_air=resources("temp_air_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 8
     log:
         logs("build_temperature_profiles_total_s_{clusters}.log"),
     benchmark:
         benchmarks("build_temperature_profiles/total_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building temperature profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_temperature_profiles.py")
 
 
 rule build_central_heating_temperature_profiles:
-    message:
-        "Building central heating temperature profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
+    input:
+        temp_air_total=resources("temp_air_total_base_s_{clusters}.nc"),
+        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
+    output:
+        central_heating_forward_temperature_profiles=resources(
+            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+        central_heating_return_temperature_profiles=resources(
+            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+    log:
+        logs(
+            "build_central_heating_temperature_profiles_s_{clusters}_{planning_horizons}.log"
+        ),
+    benchmark:
+        benchmarks(
+            "build_central_heating_temperature_profiles/s_{clusters}_{planning_horizons}"
+        )
+    resources:
+        mem_mb=20000,
     params:
         max_forward_temperature_central_heating_baseyear=config_provider(
             "sector",
@@ -272,54 +290,50 @@ rule build_central_heating_temperature_profiles:
             "relative_annual_temperature_reduction",
         ),
         energy_totals_year=config_provider("energy", "energy_totals_year"),
-    input:
-        temp_air_total=resources("temp_air_total_base_s_{clusters}.nc"),
-        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-    output:
-        central_heating_forward_temperature_profiles=resources(
-            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-        central_heating_return_temperature_profiles=resources(
-            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-    resources:
-        mem_mb=20000,
-    log:
-        logs(
-            "build_central_heating_temperature_profiles_s_{clusters}_{planning_horizons}.log"
-        ),
-    benchmark:
-        benchmarks(
-            "build_central_heating_temperature_profiles/s_{clusters}_{planning_horizons}"
-        )
+    message:
+        "Building central heating temperature profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_central_heating_temperature_profiles/run.py")
 
 
 rule build_dh_areas:
-    params:
-        handle_missing_countries=config_provider(
-            "sector", "district_heating", "dh_areas", "handle_missing_countries"
-        ),
-        countries=config_provider("countries"),
     input:
         dh_areas=rules.retrieve_dh_areas.output["dh_areas"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
     output:
         dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_dh_areas_s_{clusters}.log"),
     benchmark:
         benchmarks("build_dh_areas_s/s_{clusters}")
+    resources:
+        mem_mb=2000,
+    params:
+        handle_missing_countries=config_provider(
+            "sector", "district_heating", "dh_areas", "handle_missing_countries"
+        ),
+        countries=config_provider("countries"),
     script:
         scripts("build_dh_areas.py")
 
 
 rule build_geothermal_heat_potential:
-    message:
-        "Building geothermal heat potential estimates for {wildcards.clusters} clusters"
+    input:
+        isi_heat_potentials=rules.retrieve_geothermal_heat_utilisation_potentials.output[
+            "isi_heat_potentials"
+        ],
+        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
+        lau_regions=rules.retrieve_lau_regions.output["zip"],
+    output:
+        heat_source_power=resources(
+            "heat_source_power_geothermal_base_s_{clusters}.csv"
+        ),
+    log:
+        logs("build_heat_source_potentials_geothermal_s_{clusters}.log"),
+    benchmark:
+        benchmarks("build_heat_source_potentials/geothermal_s_{clusters}")
+    resources:
+        mem_mb=2000,
     params:
         drop_leap_day=config_provider("enable", "drop_leap_day"),
         countries=config_provider("countries"),
@@ -337,29 +351,33 @@ rule build_geothermal_heat_potential:
             "geothermal",
             "ignore_missing_regions",
         ),
+    message:
+        "Building geothermal heat potential estimates for {wildcards.clusters} clusters"
+    script:
+        scripts("build_geothermal_heat_potential.py")
+
+
+rule build_ates_potentials:
     input:
-        isi_heat_potentials=rules.retrieve_geothermal_heat_utilisation_potentials.output[
-            "isi_heat_potentials"
-        ],
+        aquifer_shapes_shp=rules.retrieve_aquifer_data_bgr.output["aquifer_shapes"][0],
+        dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-        lau_regions=rules.retrieve_lau_regions.output["zip"],
+        central_heating_forward_temperature_profiles=resources(
+            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+        central_heating_return_temperature_profiles=resources(
+            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
     output:
-        heat_source_power=resources(
-            "heat_source_power_geothermal_base_s_{clusters}.csv"
+        ates_potentials=resources(
+            "ates_potentials_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    resources:
-        mem_mb=2000,
     log:
-        logs("build_heat_source_potentials_geothermal_s_{clusters}.log"),
+        logs("build_ates_potentials_s_{clusters}_{planning_horizons}.log"),
     benchmark:
-        benchmarks("build_heat_source_potentials/geothermal_s_{clusters}")
-    script:
-        scripts("build_geothermal_heat_potential.py")
-
-
-rule build_ates_potentials:
-    message:
-        "Building aquifer thermal energy storage (ATES) potentials for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
+        benchmarks("build_ates_potentials_geothermal_s_{clusters}_{planning_horizons}")
+    resources:
+        mem_mb=2000,
     params:
         max_top_temperature=config_provider(
             "sector",
@@ -410,26 +428,8 @@ rule build_ates_potentials:
             "ignore_missing_regions",
         ),
         countries=config_provider("countries"),
-    input:
-        aquifer_shapes_shp=rules.retrieve_aquifer_data_bgr.output["aquifer_shapes"][0],
-        dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
-        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-        central_heating_forward_temperature_profiles=resources(
-            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-        central_heating_return_temperature_profiles=resources(
-            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-    output:
-        ates_potentials=resources(
-            "ates_potentials_base_s_{clusters}_{planning_horizons}.csv"
-        ),
-    resources:
-        mem_mb=2000,
-    log:
-        logs("build_ates_potentials_s_{clusters}_{planning_horizons}.log"),
-    benchmark:
-        benchmarks("build_ates_potentials_geothermal_s_{clusters}_{planning_horizons}")
+    message:
+        "Building aquifer thermal energy storage (ATES) potentials for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_ates_potentials.py")
 
@@ -477,13 +477,6 @@ def input_hera_data(w) -> dict[str, str]:
 
 
 rule build_river_heat_potential:
-    params:
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        snapshots=config_provider("snapshots"),
-        dh_area_buffer=config_provider(
-            "sector", "district_heating", "dh_areas", "buffer"
-        ),
-        enable_heat_source_maps=config_provider("plotting", "enable_heat_source_maps"),
     input:
         unpack(input_hera_data),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -499,18 +492,25 @@ rule build_river_heat_potential:
         heat_source_energy_temporal_aggregate=resources(
             "heat_source_energy_river_water_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    resources:
-        mem_mb=20000,
     log:
         logs("build_river_water_heat_potential_base_s_{clusters}.log"),
     benchmark:
         benchmarks("build_river_water_heat_potential_base_s_{clusters}")
     threads: 1
-    script:
-        scripts(
-            "build_surface_water_heat_potentials/build_river_water_heat_potential.py"
-        )
-
+    resources:
+        mem_mb=20000,
+    params:
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        snapshots=config_provider("snapshots"),
+        dh_area_buffer=config_provider(
+            "sector", "district_heating", "dh_areas", "buffer"
+        ),
+        enable_heat_source_maps=config_provider("plotting", "enable_heat_source_maps"),
+    script:
+        scripts(
+            "build_surface_water_heat_potentials/build_river_water_heat_potential.py"
+        )
+
 
 def input_heat_source_temperature(
     w,
@@ -612,12 +612,6 @@ def input_seawater_temperature(w) -> dict[str, str]:
 
 
 rule build_sea_heat_potential:
-    params:
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        snapshots=config_provider("snapshots"),
-        dh_area_buffer=config_provider(
-            "sector", "district_heating", "dh_areas", "buffer"
-        ),
     input:
         # seawater_temperature=lambda w: input_seawater_temperature(w),
         unpack(input_seawater_temperature),
@@ -628,35 +622,24 @@ rule build_sea_heat_potential:
         heat_source_temperature_temporal_aggregate=resources(
             "temp_sea_water_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    resources:
-        mem_mb=10000,
     log:
         logs("build_sea_water_heat_potential_base_s_{clusters}.log"),
     benchmark:
         benchmarks("build_sea_water_heat_potential_base_s_{clusters}")
     threads: config["atlite"].get("nprocesses", 4)
+    resources:
+        mem_mb=10000,
+    params:
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        snapshots=config_provider("snapshots"),
+        dh_area_buffer=config_provider(
+            "sector", "district_heating", "dh_areas", "buffer"
+        ),
     script:
         scripts("build_surface_water_heat_potentials/build_sea_water_heat_potential.py")
 
 
 rule build_cop_profiles:
-    message:
-        "Building coefficient of performance (COP) profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        heat_pump_sink_T_decentral_heating=config_provider(
-            "sector", "heat_pump_sink_T_individual_heating"
-        ),
-        heat_source_cooling_central_heating=config_provider(
-            "sector", "district_heating", "heat_source_cooling"
-        ),
-        heat_pump_cop_approximation_central_heating=config_provider(
-            "sector", "district_heating", "heat_pump_cop_approximation"
-        ),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         unpack(input_heat_source_temperature),
         central_heating_forward_temperature_profiles=resources(
@@ -668,33 +651,34 @@ rule build_cop_profiles:
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
     output:
         cop_profiles=resources("cop_profiles_base_s_{clusters}_{planning_horizons}.nc"),
-    resources:
-        mem_mb=20000,
     log:
         logs("build_cop_profiles_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks("build_cop_profiles/s_{clusters}_{planning_horizons}")
+    resources:
+        mem_mb=20000,
+    params:
+        heat_pump_sink_T_decentral_heating=config_provider(
+            "sector", "heat_pump_sink_T_individual_heating"
+        ),
+        heat_source_cooling_central_heating=config_provider(
+            "sector", "district_heating", "heat_source_cooling"
+        ),
+        heat_pump_cop_approximation_central_heating=config_provider(
+            "sector", "district_heating", "heat_pump_cop_approximation"
+        ),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building coefficient of performance (COP) profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_cop_profiles/run.py")
 
 
 rule build_ptes_operations:
-    message:
-        "Building thermal energy storage operations profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        max_ptes_top_temperature=config_provider(
-            "sector",
-            "district_heating",
-            "ptes",
-            "max_top_temperature",
-        ),
-        min_ptes_bottom_temperature=config_provider(
-            "sector",
-            "district_heating",
-            "ptes",
-            "min_bottom_temperature",
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         central_heating_forward_temperature_profiles=resources(
             "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
@@ -713,27 +697,33 @@ rule build_ptes_operations:
         ptes_e_max_pu_profiles=resources(
             "ptes_e_max_pu_profiles_base_s_{clusters}_{planning_horizons}.nc"
         ),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_ptes_operations_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks("build_ptes_operations_s_{clusters}_{planning_horizons}")
+    resources:
+        mem_mb=2000,
+    params:
+        max_ptes_top_temperature=config_provider(
+            "sector",
+            "district_heating",
+            "ptes",
+            "max_top_temperature",
+        ),
+        min_ptes_bottom_temperature=config_provider(
+            "sector",
+            "district_heating",
+            "ptes",
+            "min_bottom_temperature",
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building thermal energy storage operations profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_ptes_operations/run.py")
 
 
 rule build_direct_heat_source_utilisation_profiles:
-    message:
-        "Building direct heat source utilization profiles for industrial applications for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        direct_utilisation_heat_sources=config_provider(
-            "sector", "district_heating", "direct_utilisation_heat_sources"
-        ),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         central_heating_forward_temperature_profiles=resources(
             "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
@@ -742,8 +732,6 @@ rule build_direct_heat_source_utilisation_profiles:
         direct_heat_source_utilisation_profiles=resources(
             "direct_heat_source_utilisation_profiles_base_s_{clusters}_{planning_horizons}.nc"
         ),
-    resources:
-        mem_mb=20000,
     log:
         logs(
             "build_direct_heat_source_utilisation_profiles_s_{clusters}_{planning_horizons}.log"
@@ -752,76 +740,83 @@ rule build_direct_heat_source_utilisation_profiles:
         benchmarks(
             "build_direct_heat_source_utilisation_profiles/s_{clusters}_{planning_horizons}"
         )
+    resources:
+        mem_mb=20000,
+    params:
+        direct_utilisation_heat_sources=config_provider(
+            "sector", "district_heating", "direct_utilisation_heat_sources"
+        ),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building direct heat source utilization profiles for industrial applications for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_direct_heat_source_utilisation_profiles.py")
 
 
 rule build_solar_thermal_profiles:
-    message:
-        "Building solar thermal generation profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        solar_thermal=config_provider("solar_thermal"),
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         cutout=lambda w: input_cutout(w, config_provider("solar_thermal", "cutout")(w)),
     output:
         solar_thermal=resources("solar_thermal_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 16
     log:
         logs("build_solar_thermal_profiles_total_s_{clusters}.log"),
     benchmark:
         benchmarks("build_solar_thermal_profiles/total_{clusters}")
+    threads: 16
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        solar_thermal=config_provider("solar_thermal"),
+    message:
+        "Building solar thermal generation profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_solar_thermal_profiles.py")
 
 
 rule build_eurostat_balances:
-    message:
-        "Building Eurostat energy balances"
     input:
         tsv_gz=rules.retrieve_eurostat_balances.output["tsv_gz"],
     output:
         csv=resources("eurostat_energy_balances.csv"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_eurostat_balances.log"),
     benchmark:
         benchmarks("build_eurostat_balances")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building Eurostat energy balances"
     script:
         scripts("build_eurostat_balances.py")
 
 
 rule build_swiss_energy_balances:
-    message:
-        "Building BFE Swiss energy balances"
     input:
         xlsx=rules.retrieve_swiss_energy_balances.output["xlsx"],
     output:
         csv=resources("switzerland_energy_balances.csv"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_swiss_energy_balances.log"),
     benchmark:
         benchmarks("build_swiss_energy_balances")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building BFE Swiss energy balances"
     script:
         scripts("build_swiss_energy_balances.py")
 
 
 rule build_energy_totals:
-    message:
-        "Building energy totals"
-    params:
-        countries=config_provider("countries"),
-        energy=config_provider("energy"),
     input:
         nuts3_shapes=resources("nuts3_shapes.geojson"),
         co2=rules.retrieve_ghg_emissions.output["csv"],
@@ -838,13 +833,18 @@ rule build_energy_totals:
         transport_name=resources("transport_data.csv"),
         district_heat_share=resources("district_heat_share.csv"),
         heating_efficiencies=resources("heating_efficiencies.csv"),
-    threads: 16
-    resources:
-        mem_mb=10000,
     log:
         logs("build_energy_totals.log"),
     benchmark:
         benchmarks("build_energy_totals")
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        countries=config_provider("countries"),
+        energy=config_provider("energy"),
+    message:
+        "Building energy totals"
     script:
         scripts("build_energy_totals.py")
 
@@ -870,29 +870,25 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["build"
 
 
 rule build_heat_totals:
-    message:
-        "Building heat totals"
     input:
         hdd=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         energy_totals=resources("energy_totals.csv"),
     output:
         heat_totals=resources("heat_totals.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_heat_totals.log"),
     benchmark:
         benchmarks("build_heat_totals")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    message:
+        "Building heat totals"
     script:
         scripts("build_heat_totals.py")
 
 
 rule build_biomass_potentials:
-    message:
-        "Building biomass potential estimates for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        biomass=config_provider("biomass"),
     input:
         enspreso_biomass=rules.retrieve_enspreso_biomass.output["xlsx"],
         eurostat=resources("eurostat_energy_balances.csv"),
@@ -909,39 +905,41 @@ rule build_biomass_potentials:
         biomass_potentials=resources(
             "biomass_potentials_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_biomass_potentials_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks("build_biomass_potentials_s_{clusters}_{planning_horizons}")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        biomass=config_provider("biomass"),
+    message:
+        "Building biomass potential estimates for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_biomass_potentials.py")
 
 
 rule build_biomass_transport_costs:
-    message:
-        "Building biomass transport cost"
     input:
         sc1="data/biomass_transport_costs_supplychain1.csv",
         sc2="data/biomass_transport_costs_supplychain2.csv",
     output:
         biomass_transport_costs=resources("biomass_transport_costs.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_biomass_transport_costs.log"),
     benchmark:
         benchmarks("build_biomass_transport_costs")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building biomass transport cost"
     script:
         scripts("build_biomass_transport_costs.py")
 
 
 rule build_co2_sequestration_potentials:
-    message:
-        "Building CO2 sequestration potentials"
     input:
         storage_table=rules.retrieve_co2stop.output["storage_table"],
         storage_map=rules.retrieve_co2stop.output["storage_map"],
@@ -951,24 +949,20 @@ rule build_co2_sequestration_potentials:
         traps_map=rules.retrieve_co2stop.output["traps_map"],
     output:
         resources("co2_sequestration_potentials.geojson"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_co2_sequestration_potentials.log"),
     benchmark:
         benchmarks("build_co2_sequestration_potentials")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building CO2 sequestration potentials"
     script:
         scripts("build_co2_sequestration_potentials.py")
 
 
 rule build_clustered_co2_sequestration_potentials:
-    message:
-        "Clustering CO2 sequestration potentials for {wildcards.clusters} clusters"
-    params:
-        sequestration_potential=config_provider(
-            "sector", "regional_co2_sequestration_potential"
-        ),
     input:
         sequestration_potential=resources("co2_sequestration_potentials.geojson"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -977,82 +971,84 @@ rule build_clustered_co2_sequestration_potentials:
         sequestration_potential=resources(
             "co2_sequestration_potential_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_clustered_co2_sequestration_potentials_{clusters}.log"),
     benchmark:
         benchmarks("build_clustered_co2_sequestration_potentials_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    params:
+        sequestration_potential=config_provider(
+            "sector", "regional_co2_sequestration_potential"
+        ),
+    message:
+        "Clustering CO2 sequestration potentials for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_co2_sequestration_potentials.py")
 
 
 rule build_salt_cavern_potentials:
-    message:
-        "Building salt cavern potential for hydrogen storage for {wildcards.clusters} clusters"
     input:
         salt_caverns=rules.retrieve_h2_salt_caverns.output["geojson"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         regions_offshore=resources("regions_offshore_base_s_{clusters}.geojson"),
     output:
         h2_cavern_potential=resources("salt_cavern_potentials_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_salt_cavern_potentials_s_{clusters}.log"),
     benchmark:
         benchmarks("build_salt_cavern_potentials_s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    message:
+        "Building salt cavern potential for hydrogen storage for {wildcards.clusters} clusters"
     script:
         scripts("build_salt_cavern_potentials.py")
 
 
 rule build_ammonia_production:
-    message:
-        "Building ammonia production capacity and location data"
     input:
         usgs=rules.retrieve_nitrogen_statistics.output["xlsx"],
     output:
         ammonia_production=resources("ammonia_production.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_ammonia_production.log"),
     benchmark:
         benchmarks("build_ammonia_production")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building ammonia production capacity and location data"
     script:
         scripts("build_ammonia_production.py")
 
 
 rule build_industry_sector_ratios:
-    message:
-        "Building industry sector energy demand ratios"
-    params:
-        industry=config_provider("industry"),
-        ammonia=config_provider("sector", "ammonia", default=False),
     input:
         ammonia_production=resources("ammonia_production.csv"),
         idees=rules.retrieve_jrc_idees.output["directory"],
     output:
         industry_sector_ratios=resources("industry_sector_ratios.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industry_sector_ratios.log"),
     benchmark:
         benchmarks("build_industry_sector_ratios")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+        ammonia=config_provider("sector", "ammonia", default=False),
+    message:
+        "Building industry sector energy demand ratios"
     script:
         scripts("build_industry_sector_ratios.py")
 
 
 rule build_industry_sector_ratios_intermediate:
-    message:
-        "Building intermediate industry sector ratios for {wildcards.planning_horizons} planning horizon"
-    params:
-        industry=config_provider("industry"),
     input:
         industry_sector_ratios=resources("industry_sector_ratios.csv"),
         industrial_energy_demand_per_country_today=resources(
@@ -1065,23 +1061,22 @@ rule build_industry_sector_ratios_intermediate:
         industry_sector_ratios=resources(
             "industry_sector_ratios_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industry_sector_ratios_{planning_horizons}.log"),
     benchmark:
         benchmarks("build_industry_sector_ratios_{planning_horizons}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+    message:
+        "Building intermediate industry sector ratios for {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industry_sector_ratios_intermediate.py")
 
 
 rule build_industrial_production_per_country:
-    message:
-        "Building industrial production statistics per country"
-    params:
-        industry=config_provider("industry"),
-        countries=config_provider("countries"),
     input:
         ch_industrial_production="data/ch_industrial_production_per_subsector.csv",
         ammonia_production=resources("ammonia_production.csv"),
@@ -1091,22 +1086,23 @@ rule build_industrial_production_per_country:
         industrial_production_per_country=resources(
             "industrial_production_per_country.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_industrial_production_per_country.log"),
     benchmark:
         benchmarks("build_industrial_production_per_country")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        industry=config_provider("industry"),
+        countries=config_provider("countries"),
+    message:
+        "Building industrial production statistics per country"
     script:
         scripts("build_industrial_production_per_country.py")
 
 
 rule build_industrial_production_per_country_tomorrow:
-    message:
-        "Building future industrial production projections for {wildcards.planning_horizons} planning horizon"
-    params:
-        industry=config_provider("industry"),
     input:
         industrial_production_per_country=resources(
             "industrial_production_per_country.csv"
@@ -1115,9 +1111,6 @@ rule build_industrial_production_per_country_tomorrow:
         industrial_production_per_country_tomorrow=resources(
             "industrial_production_per_country_tomorrow_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_production_per_country_tomorrow_{planning_horizons}.log"),
     benchmark:
@@ -1126,18 +1119,18 @@ rule build_industrial_production_per_country_tomorrow:
                 "build_industrial_production_per_country_tomorrow_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+    message:
+        "Building future industrial production projections for {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_production_per_country_tomorrow.py")
 
 
 rule build_industrial_distribution_key:
-    message:
-        "Building industrial activity distribution mapping key for {wildcards.clusters} clusters"
-    params:
-        hotmaps_locate_missing=config_provider(
-            "industry", "hotmaps_locate_missing", default=False
-        ),
-        countries=config_provider("countries"),
     input:
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1150,20 +1143,25 @@ rule build_industrial_distribution_key:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_distribution_key_{clusters}.log"),
     benchmark:
         benchmarks("build_industrial_distribution_key/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        hotmaps_locate_missing=config_provider(
+            "industry", "hotmaps_locate_missing", default=False
+        ),
+        countries=config_provider("countries"),
+    message:
+        "Building industrial activity distribution mapping key for {wildcards.clusters} clusters"
     script:
         scripts("build_industrial_distribution_key.py")
 
 
 rule build_industrial_production_per_node:
-    message:
-        "Distributing industrial production to network nodes for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1175,9 +1173,6 @@ rule build_industrial_production_per_node:
         industrial_production_per_node=resources(
             "industrial_production_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_production_per_node_{clusters}_{planning_horizons}.log"),
     benchmark:
@@ -1186,13 +1181,16 @@ rule build_industrial_production_per_node:
                 "build_industrial_production_per_node/s_{clusters}_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Distributing industrial production to network nodes for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_production_per_node.py")
 
 
 rule build_industrial_energy_demand_per_node:
-    message:
-        "Building industrial energy demand per network node for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industry_sector_ratios=resources(
             "industry_sector_ratios_{planning_horizons}.csv"
@@ -1206,10 +1204,7 @@ rule build_industrial_energy_demand_per_node:
     output:
         industrial_energy_demand_per_node=resources(
             "industrial_energy_demand_base_s_{clusters}_{planning_horizons}.csv"
-        ),
-    threads: 1
-    resources:
-        mem_mb=1000,
+        ),
     log:
         logs(
             "build_industrial_energy_demand_per_node_{clusters}_{planning_horizons}.log"
@@ -1220,17 +1215,16 @@ rule build_industrial_energy_demand_per_node:
                 "build_industrial_energy_demand_per_node/s_{clusters}_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building industrial energy demand per network node for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_energy_demand_per_node.py")
 
 
 rule build_industrial_energy_demand_per_country_today:
-    message:
-        "Building current industrial energy demand by country"
-    params:
-        countries=config_provider("countries"),
-        industry=config_provider("industry"),
-        ammonia=config_provider("sector", "ammonia", default=False),
     input:
         transformation_output_coke=resources("transformation_output_coke.csv"),
         jrc=rules.retrieve_jrc_idees.output["directory"],
@@ -1241,20 +1235,24 @@ rule build_industrial_energy_demand_per_country_today:
         industrial_energy_demand_per_country_today=resources(
             "industrial_energy_demand_per_country_today.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_industrial_energy_demand_per_country_today.log"),
     benchmark:
         benchmarks("build_industrial_energy_demand_per_country_today")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        industry=config_provider("industry"),
+        ammonia=config_provider("sector", "ammonia", default=False),
+    message:
+        "Building current industrial energy demand by country"
     script:
         scripts("build_industrial_energy_demand_per_country_today.py")
 
 
 rule build_industrial_energy_demand_per_node_today:
-    message:
-        "Building current industrial energy demand per network node for {wildcards.clusters} clusters"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1266,23 +1264,20 @@ rule build_industrial_energy_demand_per_node_today:
         industrial_energy_demand_per_node_today=resources(
             "industrial_energy_demand_today_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_energy_demand_per_node_today_{clusters}.log"),
     benchmark:
         benchmarks("build_industrial_energy_demand_per_node_today/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building current industrial energy demand per network node for {wildcards.clusters} clusters"
     script:
         scripts("build_industrial_energy_demand_per_node_today.py")
 
 
 rule build_retro_cost:
-    message:
-        "Building retrofitting cost estimates for building efficiency improvements for {wildcards.clusters} clusters"
-    params:
-        retrofitting=config_provider("sector", "retrofitting"),
-        countries=config_provider("countries"),
     input:
         building_stock="data/retro/data_building_stock.csv",
         data_tabula="data/bundle/retro/tabula-calculator-calcsetbuilding.csv",
@@ -1297,57 +1292,62 @@ rule build_retro_cost:
     output:
         retro_cost=resources("retro_cost_base_s_{clusters}.csv"),
         floor_area=resources("floor_area_base_s_{clusters}.csv"),
-    resources:
-        mem_mb=1000,
     log:
         logs("build_retro_cost_{clusters}.log"),
     benchmark:
         benchmarks("build_retro_cost/s_{clusters}")
+    resources:
+        mem_mb=1000,
+    params:
+        retrofitting=config_provider("sector", "retrofitting"),
+        countries=config_provider("countries"),
+    message:
+        "Building retrofitting cost estimates for building efficiency improvements for {wildcards.clusters} clusters"
     script:
         scripts("build_retro_cost.py")
 
 
 rule build_population_weighted_energy_totals:
-    message:
-        "Building population-weighted energy demand totals for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         energy_totals=resources("{kind}_totals.csv"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
     output:
         resources("pop_weighted_{kind}_totals_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_population_weighted_{kind}_totals_{clusters}.log"),
     benchmark:
         benchmarks("build_population_weighted_{kind}_totals_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building population-weighted energy demand totals for {wildcards.clusters} clusters"
     script:
         scripts("build_population_weighted_energy_totals.py")
 
 
 rule build_shipping_demand:
-    message:
-        "Building shipping fuel demand projections for {wildcards.clusters} clusters"
     input:
         ports=rules.retrieve_attributed_ports.output["json"],
         scope=resources("europe_shape.geojson"),
         regions=resources("regions_onshore_base_s_{clusters}.geojson"),
         demand=resources("energy_totals.csv"),
-    params:
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     output:
         resources("shipping_demand_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_shipping_demand_s_{clusters}.log"),
     benchmark:
         benchmarks("build_shipping_demand/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building shipping fuel demand projections for {wildcards.clusters} clusters"
     script:
         scripts("build_shipping_demand.py")
 
@@ -1355,8 +1355,6 @@ rule build_shipping_demand:
 if MOBILITY_PROFILES_DATASET["source"] in ["build"]:
 
     rule build_mobility_profiles:
-        params:
-            sector=config_provider("sector"),
         input:
             zip_files=storage(
                 expand(
@@ -1369,25 +1367,20 @@ if MOBILITY_PROFILES_DATASET["source"] in ["build"]:
             raw_files=directory(MOBILITY_PROFILES_DATASET["folder"] / "raw"),
             kfz=MOBILITY_PROFILES_DATASET["folder"] / "kfz.csv",
             pkw=MOBILITY_PROFILES_DATASET["folder"] / "pkw.csv",
-        threads: 1
-        resources:
-            mem_mb=5000,
         log:
             logs("build_mobility_profiles.log"),
         benchmark:
             benchmarks("build_mobility_profiles")
+        threads: 1
+        resources:
+            mem_mb=5000,
+        params:
+            sector=config_provider("sector"),
         script:
             scripts("build_mobility_profiles.py")
 
 
 rule build_transport_demand:
-    message:
-        "Building transport energy demand profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         network=resources("networks/base_s.nc"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1403,23 +1396,25 @@ rule build_transport_demand:
         transport_data=resources("transport_data_s_{clusters}.csv"),
         avail_profile=resources("avail_profile_s_{clusters}.csv"),
         dsm_profile=resources("dsm_profile_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_transport_demand_s_{clusters}.log"),
     benchmark:
         benchmarks("build_transport_demand/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building transport energy demand profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_transport_demand.py")
 
 
 rule build_district_heat_share:
-    message:
-        "Building district heating penetration share data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        sector=config_provider("sector"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         district_heat_share=resources("district_heat_share.csv"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1427,24 +1422,23 @@ rule build_district_heat_share:
         district_heat_share=resources(
             "district_heat_share_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_district_heat_share_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks("build_district_heat_share_{clusters}_{planning_horizons}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        sector=config_provider("sector"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building district heating penetration share data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_district_heat_share.py")
 
 
 rule build_existing_heating_distribution:
-    message:
-        "Building existing heating technology distribution data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
     input:
         existing_heating="data/existing_infrastructure/existing_heating_raw.csv",
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1458,9 +1452,6 @@ rule build_existing_heating_distribution:
         existing_heating_distribution=resources(
             "existing_heating_distribution_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs(
             "build_existing_heating_distribution_base_s_{clusters}_{planning_horizons}.log"
@@ -1469,17 +1460,20 @@ rule build_existing_heating_distribution:
         benchmarks(
             "build_existing_heating_distribution/base_s_{clusters}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+    message:
+        "Building existing heating technology distribution data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_existing_heating_distribution.py")
 
 
 rule time_aggregation:
-    message:
-        "Performing time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        time_resolution=config_provider("clustering", "temporal"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        solver_name=config_provider("solving", "solver", "name"),
     input:
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
         hourly_heat_demand_total=lambda w: (
@@ -1496,13 +1490,19 @@ rule time_aggregation:
         snapshot_weightings=resources(
             "snapshot_weightings_base_s_{clusters}_elec_{opts}_{sector_opts}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=5000,
     log:
         logs("time_aggregation_base_s_{clusters}_elec_{opts}_{sector_opts}.log"),
     benchmark:
         benchmarks("time_aggregation_base_s_{clusters}_elec_{opts}_{sector_opts}")
+    threads: 1
+    resources:
+        mem_mb=5000,
+    params:
+        time_resolution=config_provider("clustering", "temporal"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        solver_name=config_provider("solving", "solver", "name"),
+    message:
+        "Performing time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("time_aggregation.py")
 
@@ -1516,13 +1516,6 @@ def input_profile_offwind(w):
 
 
 rule build_egs_potentials:
-    message:
-        "Building enhanced geothermal system (EGS) potential estimates for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
-        costs=config_provider("costs"),
     input:
         egs_cost="data/egs_costs.json",
         regions=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -1535,13 +1528,20 @@ rule build_egs_potentials:
         egs_potentials=resources("egs_potentials_{clusters}.csv"),
         egs_overlap=resources("egs_overlap_{clusters}.csv"),
         egs_capacity_factors=resources("egs_capacity_factors_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_egs_potentials_{clusters}.log"),
     benchmark:
         benchmarks("build_egs_potentials_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+        costs=config_provider("costs"),
+    message:
+        "Building enhanced geothermal system (EGS) potential estimates for {wildcards.clusters} clusters"
     script:
         scripts("build_egs_potentials.py")
 
@@ -1563,41 +1563,6 @@ def input_heat_source_power(w):
 
 
 rule prepare_sector_network:
-    message:
-        "Preparing integrated sector-coupled energy network for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizon, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
-        co2_budget=config_provider("co2_budget"),
-        conventional_carriers=config_provider(
-            "existing_capacities", "conventional_carriers"
-        ),
-        foresight=config_provider("foresight"),
-        sector=config_provider("sector"),
-        industry=config_provider("industry"),
-        renewable=config_provider("renewable"),
-        lines=config_provider("lines"),
-        pypsa_eur=config_provider("pypsa_eur"),
-        length_factor=config_provider("lines", "length_factor"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        countries=config_provider("countries"),
-        adjustments=config_provider("adjustments", "sector"),
-        emissions_scope=config_provider("energy", "emissions"),
-        emission_prices=config_provider("costs", "emission_prices"),
-        electricity=config_provider("electricity"),
-        biomass=config_provider("biomass"),
-        RDIR=RDIR,
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        heat_systems=config_provider("sector", "heat_systems"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
-        direct_utilisation_heat_sources=config_provider(
-            "sector", "district_heating", "direct_utilisation_heat_sources"
-        ),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        temperature_limited_stores=config_provider(
-            "sector", "district_heating", "temperature_limited_stores"
-        ),
     input:
         unpack(input_profile_offwind),
         unpack(input_heat_source_power),
@@ -1728,9 +1693,6 @@ rule prepare_sector_network:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
         ),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs(
             "prepare_sector_network_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -1739,5 +1701,43 @@ rule prepare_sector_network:
         benchmarks(
             "prepare_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
+        co2_budget=config_provider("co2_budget"),
+        conventional_carriers=config_provider(
+            "existing_capacities", "conventional_carriers"
+        ),
+        foresight=config_provider("foresight"),
+        sector=config_provider("sector"),
+        industry=config_provider("industry"),
+        renewable=config_provider("renewable"),
+        lines=config_provider("lines"),
+        pypsa_eur=config_provider("pypsa_eur"),
+        length_factor=config_provider("lines", "length_factor"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        countries=config_provider("countries"),
+        adjustments=config_provider("adjustments", "sector"),
+        emissions_scope=config_provider("energy", "emissions"),
+        emission_prices=config_provider("costs", "emission_prices"),
+        electricity=config_provider("electricity"),
+        biomass=config_provider("biomass"),
+        RDIR=RDIR,
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        heat_systems=config_provider("sector", "heat_systems"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+        direct_utilisation_heat_sources=config_provider(
+            "sector", "district_heating", "direct_utilisation_heat_sources"
+        ),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        temperature_limited_stores=config_provider(
+            "sector", "district_heating", "temperature_limited_stores"
+        ),
+    message:
+        "Preparing integrated sector-coupled energy network for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizon, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("prepare_sector_network.py")
diff --git a/rules/collect.smk b/rules/collect.smk
index 743407ee92..66ae5fc050 100644
--- a/rules/collect.smk
+++ b/rules/collect.smk
@@ -31,30 +31,28 @@ rule process_costs:
 
 
 rule cluster_networks:
-    message:
-        "Collecting clustered network files"
     input:
         expand(
             resources("networks/base_s_{clusters}.nc"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting clustered network files"
 
 
 rule prepare_elec_networks:
-    message:
-        "Collecting prepared electricity network files"
     input:
         expand(
             resources("networks/base_s_{clusters}_elec_{opts}.nc"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting prepared electricity network files"
 
 
 rule prepare_sector_networks:
-    message:
-        "Collecting prepared sector-coupled network files"
     input:
         expand(
             resources(
@@ -63,22 +61,22 @@ rule prepare_sector_networks:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting prepared sector-coupled network files"
 
 
 rule solve_elec_networks:
-    message:
-        "Collecting solved electricity network files"
     input:
         expand(
             RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved electricity network files"
 
 
 rule solve_sector_networks:
-    message:
-        "Collecting solved sector-coupled network files"
     input:
         expand(
             RESULTS
@@ -86,11 +84,11 @@ rule solve_sector_networks:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved sector-coupled network files"
 
 
 rule solve_sector_networks_perfect:
-    message:
-        "Collecting solved sector-coupled network files with perfect foresight"
     input:
         expand(
             RESULTS
@@ -98,6 +96,8 @@ rule solve_sector_networks_perfect:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved sector-coupled network files with perfect foresight"
 
 
 def balance_map_paths(kind, w):
@@ -117,11 +117,11 @@ def balance_map_paths(kind, w):
 
 
 rule plot_balance_maps:
-    message:
-        "Plotting energy balance maps"
     input:
         static=lambda w: balance_map_paths("static", w),
         interactive=lambda w: balance_map_paths("interactive", w),
+    message:
+        "Plotting energy balance maps"
 
 
 rule plot_balance_maps_static:
@@ -135,11 +135,11 @@ rule plot_balance_maps_interactive:
 
 
 rule plot_power_networks_clustered:
-    message:
-        "Plotting clustered power network topology"
     input:
         expand(
             resources("maps/power-network-s-{clusters}.pdf"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Plotting clustered power network topology"
diff --git a/rules/development.smk b/rules/development.smk
index a3800c6e3a..88bad702a1 100644
--- a/rules/development.smk
+++ b/rules/development.smk
@@ -4,17 +4,6 @@
 
 
 rule base_network_incumbent:
-    message:
-        "Building base network to which to compare against."
-    params:
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        lines=config_provider("lines"),
-        links=config_provider("links"),
-        transformers=config_provider("transformers"),
-        clustering=config_provider("clustering", "mode"),
-        admin_levels=config_provider("clustering", "administrative"),
     input:
         unpack(input_base_network_incumbent),
         nuts3_shapes=resources("nuts3_shapes.geojson"),
@@ -33,20 +22,22 @@ rule base_network_incumbent:
     threads: 4
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        lines=config_provider("lines"),
+        links=config_provider("links"),
+        transformers=config_provider("transformers"),
+        clustering=config_provider("clustering", "mode"),
+        admin_levels=config_provider("clustering", "administrative"),
+    message:
+        "Building base network to which to compare against."
     script:
         scripts("base_network.py")
 
 
 rule make_network_comparison:
-    message:
-        "Create network comparison between two PyPSA networks."
-    params:
-        countries=config_provider("countries"),
-        base_network=config_provider("electricity", "base_network"),
-        compare_to_version=config_provider(
-            "osm_network_release", "compare_to", "version"
-        ),
-        voltages=config_provider("electricity", "voltages"),
     input:
         n_release=resources("networks/base.nc"),
         n_incumbent=resources("osm/comparison/incumbent/networks/base.nc"),
@@ -61,18 +52,20 @@ rule make_network_comparison:
     threads: 1
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        base_network=config_provider("electricity", "base_network"),
+        compare_to_version=config_provider(
+            "osm_network_release", "compare_to", "version"
+        ),
+        voltages=config_provider("electricity", "voltages"),
+    message:
+        "Create network comparison between two PyPSA networks."
     script:
         scripts("make_network_comparison.py")
 
 
 rule prepare_osm_network_release:
-    message:
-        "Preparing OSM network release files and map."
-    params:
-        line_types=config["lines"]["types"],
-        release_version=config_provider("osm_network_release", "release_version"),
-        include_polygons=True,
-        export=True,
     input:
         base_network=resources("networks/base.nc"),
         stations_polygon=resources("osm/build/geojson/stations_polygon.geojson"),
@@ -91,18 +84,18 @@ rule prepare_osm_network_release:
     threads: 1
     resources:
         mem_mb=1000,
+    params:
+        line_types=config["lines"]["types"],
+        release_version=config_provider("osm_network_release", "release_version"),
+        include_polygons=True,
+        export=True,
+    message:
+        "Preparing OSM network release files and map."
     script:
         scripts("prepare_osm_network_release.py")
 
 
 rule map_incumbent:
-    message:
-        "Preparing map of incumbent network for comparison with OSM release."
-    params:
-        line_types=config["lines"]["types"],
-        release_version="Incumbent",
-        include_polygons=False,
-        export=False,
     input:
         base_network=resources("osm/comparison/incumbent/networks/base.nc"),
     output:
@@ -114,13 +107,18 @@ rule map_incumbent:
     threads: 1
     resources:
         mem_mb=1000,
+    params:
+        line_types=config["lines"]["types"],
+        release_version="Incumbent",
+        include_polygons=False,
+        export=False,
+    message:
+        "Preparing map of incumbent network for comparison with OSM release."
     script:
         scripts("prepare_osm_network_release.py")
 
 
 rule osm_release:
-    message:
-        "Creating OSM network release files, map and comparison with incumbent network."
     input:
         resources("osm/release/buses.csv"),
         resources("osm/release/converters.csv"),
@@ -130,3 +128,5 @@ rule osm_release:
         resources("osm/release/map.html"),
         resources("osm/comparison/map_incumbent.html"),
         resources("osm/comparison/lengths.pdf"),
+    message:
+        "Creating OSM network release files, map and comparison with incumbent network."
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index 6fe61cd1a8..eeb9e5a26c 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -6,47 +6,42 @@
 if config["foresight"] != "perfect":
 
     rule plot_base_network:
-        message:
-            "Plotting base power network"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=resources("networks/base.nc"),
             regions_onshore=resources("regions_onshore.geojson"),
         output:
             map=resources("maps/power-network.pdf"),
+        benchmark:
+            benchmarks("plot_base_network/base")
         threads: 1
         resources:
             mem_mb=4000,
-        benchmark:
-            benchmarks("plot_base_network/base")
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting base power network"
         script:
             scripts("plot_base_network.py")
 
     rule plot_power_network_clustered:
-        message:
-            "Plotting clustered power network for {wildcards.clusters} clusters"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=resources("networks/base_s_{clusters}.nc"),
             regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         output:
             map=resources("maps/power-network-s-{clusters}.pdf"),
+        benchmark:
+            benchmarks("plot_power_network_clustered/base_s_{clusters}")
         threads: 1
         resources:
             mem_mb=4000,
-        benchmark:
-            benchmarks("plot_power_network_clustered/base_s_{clusters}")
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting clustered power network for {wildcards.clusters} clusters"
         script:
             scripts("plot_power_network_clustered.py")
 
     rule plot_power_network:
-        message:
-            "Plotting power network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-        params:
-            plotting=config_provider("plotting"),
-            transmission_limit=config_provider("electricity", "transmission_limit"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -54,9 +49,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_power_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -65,15 +57,18 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_power_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+            transmission_limit=config_provider("electricity", "transmission_limit"),
+        message:
+            "Plotting power network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         script:
             scripts("plot_power_network.py")
 
     rule plot_hydrogen_network:
-        message:
-            "Plotting hydrogen network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-        params:
-            plotting=config_provider("plotting"),
-            foresight=config_provider("foresight"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -81,9 +76,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-h2_network_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_hydrogen_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -92,14 +84,18 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_hydrogen_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+            foresight=config_provider("foresight"),
+        message:
+            "Plotting hydrogen network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         script:
             scripts("plot_hydrogen_network.py")
 
     rule plot_gas_network:
-        message:
-            "Plotting methane network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizon"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -107,9 +103,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-ch4_network_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_gas_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -118,15 +111,17 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_gas_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting methane network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizon"
         script:
             scripts("plot_gas_network.py")
 
     rule plot_balance_map:
-        message:
-            "Plotting balance map for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options, {wildcards.planning_horizons} planning horizons and {wildcards.carrier} carrier"
-        params:
-            plotting=config_provider("plotting"),
-            settings=lambda w: config_provider("plotting", "balance_map", w.carrier),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -134,9 +129,6 @@ if config["foresight"] != "perfect":
         output:
             RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-balance_map_{carrier}.pdf",
-        threads: 1
-        resources:
-            mem_mb=8000,
         log:
             RESULTS
             + "logs/plot_balance_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
@@ -145,14 +137,18 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_balance_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
+        threads: 1
+        resources:
+            mem_mb=8000,
+        params:
+            plotting=config_provider("plotting"),
+            settings=lambda w: config_provider("plotting", "balance_map", w.carrier),
+        message:
+            "Plotting balance map for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options, {wildcards.planning_horizons} planning horizons and {wildcards.carrier} carrier"
         script:
             scripts("plot_balance_map.py")
 
     rule plot_balance_map_interactive:
-        params:
-            settings=lambda w: config_provider(
-                "plotting", "balance_map_interactive", w.carrier
-            ),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -160,9 +156,6 @@ if config["foresight"] != "perfect":
         output:
             RESULTS
             + "maps/interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-balance_map_{carrier}.html",
-        threads: 1
-        resources:
-            mem_mb=8000,
         log:
             RESULTS
             + "logs/plot_balance_map_interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
@@ -171,13 +164,17 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_interactive_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
+        threads: 1
+        resources:
+            mem_mb=8000,
+        params:
+            settings=lambda w: config_provider(
+                "plotting", "balance_map_interactive", w.carrier
+            ),
         script:
             scripts("plot_balance_map_interactive.py")
 
     rule plot_heat_source_map:
-        params:
-            plotting=config_provider("plotting"),
-            heat_sources=config_provider("sector", "heat_pump_sources"),
         input:
             regions=resources("regions_onshore_base_s_{clusters}.geojson"),
             heat_source_temperature=lambda w: (
@@ -201,9 +198,6 @@ if config["foresight"] != "perfect":
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-heat_source_temperature_map_{carrier}.html",
             energy_map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-heat_source_energy_map_{carrier}.html",
-        threads: 1
-        resources:
-            mem_mb=150000,
         log:
             RESULTS
             + "logs/plot_heat_source_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
@@ -212,6 +206,12 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/plot_heat_source_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
+        threads: 1
+        resources:
+            mem_mb=150000,
+        params:
+            plotting=config_provider("plotting"),
+            heat_sources=config_provider("sector", "heat_pump_sources"),
         script:
             scripts("plot_heat_source_map.py")
 
@@ -227,10 +227,6 @@ if config["foresight"] == "perfect":
         }
 
     rule plot_power_network_perfect:
-        message:
-            "Plotting power network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc",
@@ -240,13 +236,15 @@ if config["foresight"] == "perfect":
         threads: 2
         resources:
             mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting power network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
         script:
             scripts("plot_power_network_perfect.py")
 
 
 rule make_summary:
-    message:
-        "Creating optimization results summary statistics"
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -279,9 +277,6 @@ rule make_summary:
         + "csvs/individual/market_values_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.csv",
         metrics=RESULTS
         + "csvs/individual/metrics_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.csv",
-    threads: 1
-    resources:
-        mem_mb=8000,
     log:
         RESULTS
         + "logs/make_summary_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -290,16 +285,16 @@ rule make_summary:
             RESULTS
             + "benchmarks/make_summary_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=8000,
+    message:
+        "Creating optimization results summary statistics"
     script:
         scripts("make_summary.py")
 
 
 rule make_global_summary:
-    message:
-        "Creating global summary of optimization results for all scenarios"
-    params:
-        scenario=config_provider("scenario"),
-        RDIR=RDIR,
     input:
         nodal_costs=expand(
             RESULTS
@@ -400,49 +395,43 @@ rule make_global_summary:
         nodal_capacities=RESULTS + "csvs/nodal_capacities.csv",
         nodal_energy_balance=RESULTS + "csvs/nodal_energy_balance.csv",
         nodal_capacity_factors=RESULTS + "csvs/nodal_capacity_factors.csv",
-    threads: 1
-    resources:
-        mem_mb=8000,
     log:
         RESULTS + "logs/make_global_summary.log",
     benchmark:
         RESULTS + "benchmarks/make_global_summary"
+    threads: 1
+    resources:
+        mem_mb=8000,
+    params:
+        scenario=config_provider("scenario"),
+        RDIR=RDIR,
+    message:
+        "Creating global summary of optimization results for all scenarios"
     script:
         scripts("make_global_summary.py")
 
 
 rule make_cumulative_costs:
-    message:
-        "Calculating cumulative costs over time horizon"
-    params:
-        scenario=config_provider("scenario"),
     input:
         costs=RESULTS + "csvs/costs.csv",
     output:
         cumulative_costs=RESULTS + "csvs/cumulative_costs.csv",
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         RESULTS + "logs/make_cumulative_costs.log",
     benchmark:
         RESULTS + "benchmarks/make_cumulative_costs"
+    threads: 1
+    resources:
+        mem_mb=4000,
+    params:
+        scenario=config_provider("scenario"),
+    message:
+        "Calculating cumulative costs over time horizon"
     script:
         scripts("make_cumulative_costs.py")
 
 
 rule plot_summary:
-    message:
-        "Plotting summary statistics and results"
-    params:
-        countries=config_provider("countries"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        emissions_scope=config_provider("energy", "emissions"),
-        plotting=config_provider("plotting"),
-        foresight=config_provider("foresight"),
-        co2_budget=config_provider("co2_budget"),
-        sector=config_provider("sector"),
-        RDIR=RDIR,
     input:
         costs=RESULTS + "csvs/costs.csv",
         energy=RESULTS + "csvs/energy.csv",
@@ -453,69 +442,80 @@ rule plot_summary:
         costs=RESULTS + "graphs/costs.pdf",
         energy=RESULTS + "graphs/energy.pdf",
         balances=RESULTS + "graphs/balances-energy.pdf",
+    log:
+        RESULTS + "logs/plot_summary.log",
     threads: 2
     resources:
         mem_mb=10000,
-    log:
-        RESULTS + "logs/plot_summary.log",
+    params:
+        countries=config_provider("countries"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        emissions_scope=config_provider("energy", "emissions"),
+        plotting=config_provider("plotting"),
+        foresight=config_provider("foresight"),
+        co2_budget=config_provider("co2_budget"),
+        sector=config_provider("sector"),
+        RDIR=RDIR,
+    message:
+        "Plotting summary statistics and results"
     script:
         scripts("plot_summary.py")
 
 
 rule plot_balance_timeseries:
-    message:
-        "Plotting energy balance time series for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
         rc="matplotlibrc",
-    threads: 16
-    resources:
-        mem_mb=10000,
-    log:
-        RESULTS
-        + "logs/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
-    benchmark:
-        RESULTS
-        +"benchmarks/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
     output:
         directory(
             RESULTS
             + "graphics/balance_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         ),
+    log:
+        RESULTS
+        + "logs/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
+    benchmark:
+        RESULTS
+        + "benchmarks/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Plotting energy balance time series for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     script:
         scripts("plot_balance_timeseries.py")
 
 
 rule plot_heatmap_timeseries:
-    message:
-        "Plotting heatmap time series visualization for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
         rc="matplotlibrc",
-    threads: 16
-    resources:
-        mem_mb=10000,
-    log:
-        RESULTS
-        + "logs/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
-    benchmark:
-        RESULTS
-        +"benchmarks/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
     output:
         directory(
             RESULTS
             + "graphics/heatmap_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         ),
+    log:
+        RESULTS
+        + "logs/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
+    benchmark:
+        RESULTS
+        + "benchmarks/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Plotting heatmap time series visualization for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     script:
         scripts("plot_heatmap_timeseries.py")
 
@@ -534,11 +534,6 @@ STATISTICS_BARPLOTS = [
 
 
 rule plot_base_statistics:
-    message:
-        "Plotting base scenario statistics for {wildcards.clusters} clusters and {wildcards.opts} electric options"
-    params:
-        plotting=config_provider("plotting"),
-        barplots=STATISTICS_BARPLOTS,
     input:
         network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
     output:
@@ -549,6 +544,11 @@ rule plot_base_statistics:
         },
         barplots_touch=RESULTS
         + "figures/.statistics_plots_base_s_{clusters}_elec_{opts}",
+    params:
+        plotting=config_provider("plotting"),
+        barplots=STATISTICS_BARPLOTS,
+    message:
+        "Plotting base scenario statistics for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     script:
         scripts("plot_statistics.py")
 
@@ -561,9 +561,6 @@ rule build_ambient_air_temperature_yearly_average:
         average_ambient_air_temperature=resources(
             "temp_ambient_air_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    threads: 1
-    resources:
-        mem_mb=5000,
     log:
         RESULTS + "logs/build_ambient_air_temperature_yearly_average/base_s_{clusters}",
     benchmark:
@@ -571,6 +568,9 @@ rule build_ambient_air_temperature_yearly_average:
             RESULTS
             + "benchmarks/build_ambient_air_temperature_yearly_average/base_s_{clusters}"
         )
+    threads: 1
+    resources:
+        mem_mb=5000,
     script:
         scripts("build_ambient_air_temperature_yearly_average.py")
 
@@ -591,13 +591,6 @@ rule plot_cop_profiles:
 
 
 rule plot_interactive_bus_balance:
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        bus_name_pattern=config_provider(
-            "plotting", "interactive_bus_balance", "bus_name_pattern"
-        ),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -612,8 +605,15 @@ rule plot_interactive_bus_balance:
         + "logs/plot_interactive_bus_balance/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
     benchmark:
         RESULTS
-        +"benchmarks/plot_interactive_bus_balance/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+        + "benchmarks/plot_interactive_bus_balance/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
     resources:
         mem_mb=20000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        bus_name_pattern=config_provider(
+            "plotting", "interactive_bus_balance", "bus_name_pattern"
+        ),
     script:
         scripts("plot_interactive_bus_balance.py")
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index dbb9c8662c..cde7f32151 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -28,12 +28,12 @@ if (EUROSTAT_BALANCES_DATASET := dataset_version("eurostat_balances"))["source"]
 ]:
 
     rule retrieve_eurostat_balances:
-        message:
-            "Retrieving Eurostat balances data"
         input:
             tsv_gz=storage(EUROSTAT_BALANCES_DATASET["url"]),
         output:
             tsv_gz=f"{EUROSTAT_BALANCES_DATASET['folder']}/estat_nrg_bal_c.tsv.gz",
+        message:
+            "Retrieving Eurostat balances data"
         run:
             copy2(input["tsv_gz"], output["tsv_gz"])
 
@@ -48,12 +48,12 @@ if (
 ]:
 
     rule retrieve_eurostat_household_balances:
-        message:
-            "Retrieving Eurostat household balances data"
         input:
             csv=storage(EUROSTAT_HOUSEHOLD_BALANCES_DATASET["url"]),
         output:
             csv=f"{EUROSTAT_HOUSEHOLD_BALANCES_DATASET['folder']}/nrg_d_hhq.csv",
+        message:
+            "Retrieving Eurostat household balances data"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -66,12 +66,12 @@ if (SWISS_ENERGY_BALANCES_DATASET := dataset_version("swiss_energy_balances"))[
 ]:
 
     rule retrieve_swiss_energy_balances:
-        message:
-            "Retrieving Swiss energy balances data"
         input:
             xlsx=storage(SWISS_ENERGY_BALANCES_DATASET["url"]),
         output:
             xlsx=f"{SWISS_ENERGY_BALANCES_DATASET['folder']}/12361-VWZ_Webtabellen_2024.xlsx",
+        message:
+            "Retrieving Swiss energy balances data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -82,13 +82,13 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 ]:
 
     rule retrieve_nuts3_population:
-        message:
-            "Retrieving NUTS3 population data"
         input:
             gz=storage(NUTS3_POPULATION_DATASET["url"]),
         output:
             gz=f"{NUTS3_POPULATION_DATASET['folder']}/nama_10r_3popgdp.tsv.gz",
         retries: 2
+        message:
+            "Retrieving NUTS3 population data"
         run:
             copy2(input["gz"], output["gz"])
 
@@ -96,13 +96,13 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 if (CORINE_DATASET := dataset_version("corine"))["source"] in ["archive"]:
 
     rule retrieve_corine:
-        message:
-            "Retrieving Corine land cover data"
         input:
             zip_file=storage(CORINE_DATASET["url"]),
         output:
             zip_file=f"{CORINE_DATASET['folder']}/corine.zip",
             tif_file=f"{CORINE_DATASET['folder']}/corine.tif",
+        message:
+            "Retrieving Corine land cover data"
         run:
             output_folder = Path(output["zip_file"]).parent
             unpack_archive(input["zip_file"], output_folder)
@@ -114,18 +114,18 @@ if (CORINE_DATASET := dataset_version("corine"))["source"] in ["archive"]:
 elif (CORINE_DATASET := dataset_version("corine"))["source"] in ["primary"]:
 
     rule retrieve_corine:
-        message:
-            "Retrieving Corine land cover data"
-        params:
-            apikey=os.environ.get("CORINE_API_TOKEN", ""),
         output:
             zip=f"{CORINE_DATASET['folder']}/corine.zip",
             tif_file=f"{CORINE_DATASET['folder']}/corine.tif",
         log:
             logs("retrieve_corine_primary.log"),
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
+        params:
+            apikey=os.environ.get("CORINE_API_TOKEN", ""),
+        message:
+            "Retrieving Corine land cover data"
         script:
             scripts("retrieve_corine_dataset_primary.py")
 
@@ -135,13 +135,13 @@ if (H2_SALT_CAVERNS_DATASET := dataset_version("h2_salt_caverns"))["source"] in
 ]:
 
     rule retrieve_h2_salt_caverns:
-        message:
-            "Retrieving H2 salt caverns data"
         input:
             geojson=storage(H2_SALT_CAVERNS_DATASET["url"]),
         output:
             geojson=f"{H2_SALT_CAVERNS_DATASET['folder']}/h2_salt_caverns_GWh_per_sqkm.geojson",
         retries: 2
+        message:
+            "Retrieving H2 salt caverns data"
         run:
             copy2(input["geojson"], output["geojson"])
 
@@ -151,13 +151,13 @@ if (GDP_PER_CAPITA_DATASET := dataset_version("gdp_per_capita"))["source"] in [
 ]:
 
     rule retrieve_gdp_per_capita:
-        message:
-            "Retrieving GDP per capita data"
         input:
             gdp=storage(GDP_PER_CAPITA_DATASET["url"]),
         output:
             gdp=f"{GDP_PER_CAPITA_DATASET['folder']}/GDP_per_capita_PPP_1990_2015_v2.nc",
         retries: 2
+        message:
+            "Retrieving GDP per capita data"
         run:
             copy2(input["gdp"], output["gdp"])
 
@@ -168,13 +168,13 @@ if (POPULATION_COUNT_DATASET := dataset_version("population_count"))["source"] i
 ]:
 
     rule retrieve_population_count:
-        message:
-            "Retrieving population count data"
         input:
             tif=storage(POPULATION_COUNT_DATASET["url"]),
         output:
             tif=f"{POPULATION_COUNT_DATASET['folder']}/ppp_2019_1km_Aggregated.tif",
         retries: 2
+        message:
+            "Retrieving population count data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -195,8 +195,6 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
 ]:
 
     rule retrieve_ghg_emissions:
-        message:
-            "Retrieving GHG emissions data"
         input:
             ghg=storage(GHG_EMISSIONS_DATASET["url"]),
         output:
@@ -212,6 +210,8 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
                 else []
             ),
         retries: 2
+        message:
+            "Retrieving GHG emissions data"
         run:
             if GHG_EMISSIONS_DATASET["source"] == "primary":
                 copy2(input["ghg"], output["zip"])
@@ -224,8 +224,6 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
 if (GEBCO_DATASET := dataset_version("gebco"))["source"] in ["archive", "primary"]:
 
     rule retrieve_gebco:
-        message:
-            "Retrieving GEBCO bathymetry data"
         input:
             storage(GEBCO_DATASET["url"]),
         output:
@@ -235,6 +233,8 @@ if (GEBCO_DATASET := dataset_version("gebco"))["source"] in ["archive", "primary
                 if GEBCO_DATASET["source"] == "primary"
                 else []
             ),
+        message:
+            "Retrieving GEBCO bathymetry data"
         run:
             if GEBCO_DATASET["source"] == "primary":
                 import xarray as xr
@@ -259,13 +259,13 @@ if (ATTRIBUTED_PORTS_DATASET := dataset_version("attributed_ports"))["source"] i
 ]:
 
     rule retrieve_attributed_ports:
-        message:
-            "Retrieving attributed ports data"
         input:
             json=storage(ATTRIBUTED_PORTS_DATASET["url"]),
         output:
             json=f"{ATTRIBUTED_PORTS_DATASET['folder']}/attributed_ports.json",
         retries: 2
+        message:
+            "Retrieving attributed ports data"
         run:
             copy2(input["json"], output["json"])
 
@@ -276,13 +276,13 @@ if (JRC_IDEES_DATASET := dataset_version("jrc_idees"))["source"] in [
 ]:
 
     rule retrieve_jrc_idees:
-        message:
-            "Retrieving JRC IDEES data"
         input:
             zip_file=storage(JRC_IDEES_DATASET["url"]),
         output:
             zip_file=f"{JRC_IDEES_DATASET['folder']}/jrc_idees.zip",
             directory=directory(JRC_IDEES_DATASET["folder"]),
+        message:
+            "Retrieving JRC IDEES data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             output_folder = Path(output["zip_file"]).parent
@@ -295,8 +295,6 @@ if (EU_NUTS2013_DATASET := dataset_version("eu_nuts2013"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2013:
-        message:
-            "Retrieving EU NUTS 2013 data"
         input:
             shapes=storage(EU_NUTS2013_DATASET["url"]),
         output:
@@ -306,6 +304,8 @@ if (EU_NUTS2013_DATASET := dataset_version("eu_nuts2013"))["source"] in [
             ),
             shapes_level_3=f"{EU_NUTS2013_DATASET['folder']}/ref-nuts-2013-03m.geojson/NUTS_RG_03M_2013_4326_LEVL_3.geojson",
             shapes_level_2=f"{EU_NUTS2013_DATASET['folder']}/ref-nuts-2013-03m.geojson/NUTS_RG_03M_2013_4326_LEVL_2.geojson",
+        message:
+            "Retrieving EU NUTS 2013 data"
         run:
             copy2(input["shapes"], output["zip_file"])
             unpack_archive(output["zip_file"], Path(output.shapes_level_3).parent)
@@ -317,8 +317,6 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2021:
-        message:
-            "Retrieving EU NUTS 2021 data"
         input:
             shapes=storage(EU_NUTS2021_DATASET["url"]),
         output:
@@ -330,6 +328,8 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
             shapes_level_2=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_2.geojson",
             shapes_level_1=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_1.geojson",
             shapes_level_0=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_0.geojson",
+        message:
+            "Retrieving EU NUTS 2021 data"
         run:
             copy2(input["shapes"], output["zip_file"])
             unpack_archive(output["zip_file"], Path(output.shapes_level_3).parent)
@@ -348,9 +348,9 @@ if (
             geojson=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
         log:
             "logs/retrieve_bidding_zones_electricitymaps.log",
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
         run:
             copy2(input["geojson"], output["geojson"])
 
@@ -364,9 +364,9 @@ if (BIDDING_ZONES_ENTSOEPY_DATASET := dataset_version("bidding_zones_entsoepy"))
             geojson=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
         log:
             "logs/retrieve_bidding_zones_entsoepy.log",
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
         run:
             import entsoe
             import geopandas as gpd
@@ -398,17 +398,17 @@ if (CUTOUT_DATASET := dataset_version("cutout"))["source"] in [
 ]:
 
     rule retrieve_cutout:
-        message:
-            "Retrieving cutout data for {wildcards.cutout}"
         input:
             storage(CUTOUT_DATASET["url"] + "/{cutout}.nc"),
         output:
             CUTOUT_DATASET["folder"] + "/{cutout}.nc",
         log:
             "logs/retrieve_cutout/{cutout}.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving cutout data for {wildcards.cutout}"
         run:
             copy2(input[0], output[0])
 
@@ -418,12 +418,12 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))["source"] in [
 ]:
 
     rule retrieve_country_runoff:
-        message:
-            "Retrieving country runoff data"
         input:
             storage(COUNTRY_RUNOFF_DATASET["url"]),
         output:
             era5_runoff=f"{COUNTRY_RUNOFF_DATASET['folder']}/era5-runoff-per-country.csv",
+        message:
+            "Retrieving country runoff data"
         run:
             copy2(input[0], output[0])
 
@@ -431,12 +431,12 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))["source"] in [
 if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["archive"]:
 
     rule retrieve_country_hdd:
-        message:
-            "Retrieving country heating degree days data"
         input:
             storage(COUNTRY_HDD_DATASET["url"]),
         output:
             era5_runoff=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
+        message:
+            "Retrieving country heating degree days data"
         run:
             copy2(input[0], output[0])
 
@@ -447,12 +447,12 @@ if (COSTS_DATASET := dataset_version("costs"))["source"] in [
 ]:
 
     rule retrieve_cost_data:
-        message:
-            "Retrieving cost data for {wildcards.planning_horizons}"
         input:
             costs=storage(COSTS_DATASET["url"] + "/costs_{planning_horizons}.csv"),
         output:
             costs=COSTS_DATASET["folder"] + "/costs_{planning_horizons}.csv",
+        message:
+            "Retrieving cost data for {wildcards.planning_horizons}"
         run:
             copy2(input["costs"], output["costs"])
 
@@ -463,12 +463,12 @@ if (POWERPLANTS_DATASET := dataset_version("powerplants"))["source"] in [
 ]:
 
     rule retrieve_powerplants:
-        message:
-            "Retrieving powerplants data"
         input:
             powerplants=storage(POWERPLANTS_DATASET["url"]),
         output:
             powerplants=f"{POWERPLANTS_DATASET['folder']}/powerplants.csv",
+        message:
+            "Retrieving powerplants data"
         run:
             copy2(input["powerplants"], output["powerplants"])
 
@@ -479,8 +479,6 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
 ]:
 
     rule retrieve_gas_infrastructure_data:
-        message:
-            "Retrieving SciGRID gas infrastructure data"
         input:
             zip_file=storage(SCIGRID_GAS_DATASET["url"]),
         output:
@@ -488,6 +486,8 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
             entry=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_BorderPoints.geojson",
             storage=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_Storages.geojson",
             gas_network=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_PipeSegments.geojson",
+        message:
+            "Retrieving SciGRID gas infrastructure data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             output_folder = Path(output["zip_file"]).parent
@@ -499,17 +499,17 @@ if (OPSD_DEMAND_DATA := dataset_version("opsd_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_opsd:
-        message:
-            "Retrieving electricity demand data from OPSD from build source"
-        params:
-            versions=["2019-06-05", "2020-10-06"],
         output:
             csv=f"{OPSD_DEMAND_DATA['folder']}/electricity_demand_opsd_raw.csv",
         log:
             "logs/retrieve_electricity_demand_opsd.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        params:
+            versions=["2019-06-05", "2020-10-06"],
+        message:
+            "Retrieving electricity demand data from OPSD from build source"
         script:
             scripts("retrieve_electricity_demand_opsd.py")
 
@@ -519,13 +519,13 @@ if (OPSD_DEMAND_DATA := dataset_version("opsd_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_opsd:
-        message:
-            "Retrieving electricity demand data from OPSD from archive"
         input:
             csv=storage(OPSD_DEMAND_DATA["url"]),
         output:
             csv=f"{OPSD_DEMAND_DATA['folder']}/electricity_demand_opsd_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from OPSD from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -575,24 +575,22 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))["source"
     ]
 
     rule retrieve_electricity_demand_entsoe_country:
-        message:
-            "Retrieving electricity demand data from ENTSO-E for {wildcards.country}"
-        params:
-            entsoe_token=os.environ.get("ENTSOE_API_TOKEN", ""),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}"
             + "/electricity_demand_entsoe_raw_{country}.csv",
         log:
             "logs/retrieve_electricity_demand_entsoe_{country}.log",
+        retries: 2
         resources:
             mem_mb=2000,
-        retries: 2
+        params:
+            entsoe_token=os.environ.get("ENTSOE_API_TOKEN", ""),
+        message:
+            "Retrieving electricity demand data from ENTSO-E for {wildcards.country}"
         script:
             scripts("retrieve_electricity_demand_entsoe.py")
 
     rule retrieve_electricity_demand_entsoe:
-        message:
-            "Retrieving electricity demand data from ENTSO-E from build source"
         input:
             csvs=expand(
                 f"{ENTSOE_DEMAND_DATA['folder']}"
@@ -601,6 +599,8 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))["source"
             ),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}/electricity_demand_entsoe_raw.csv",
+        message:
+            "Retrieving electricity demand data from ENTSO-E from build source"
         run:
             import pandas as pd
 
@@ -614,13 +614,13 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))["source"
 ]:
 
     rule retrieve_electricity_demand_entsoe:
-        message:
-            "Retrieving electricity demand data from ENTSO-E from archive"
         input:
             csv=storage(ENTSOE_DEMAND_DATA["url"]),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}/electricity_demand_entsoe_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from ENTSO-E from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -630,15 +630,15 @@ if (NESO_DEMAND_DATA := dataset_version("neso_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_neso:
-        message:
-            "Retrieving electricity demand data from NESO from build source"
         output:
             csv=f"{NESO_DEMAND_DATA['folder']}/electricity_demand_neso_raw.csv",
         log:
             "logs/retrieve_electricity_demand_neso.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving electricity demand data from NESO from build source"
         script:
             scripts("retrieve_electricity_demand_neso.py")
 
@@ -648,13 +648,13 @@ if (NESO_DEMAND_DATA := dataset_version("neso_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_neso:
-        message:
-            "Retrieving electricity demand data from NESO from archive"
         input:
             csv=storage(NESO_DEMAND_DATA["url"]),
         output:
             csv=f"{NESO_DEMAND_DATA['folder']}/electricity_demand_neso_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from NESO from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -669,13 +669,13 @@ if (
 ]:
 
     rule retrieve_synthetic_electricity_demand:
-        message:
-            "Retrieving synthetic electricity demand data"
         input:
             csv=storage(SYNTHETIC_ELECTRICITY_DEMAND_DATASET["url"]),
         output:
             csv=f"{SYNTHETIC_ELECTRICITY_DEMAND_DATASET['folder']}/load_synthetic_raw.csv",
         retries: 2
+        message:
+            "Retrieving synthetic electricity demand data"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -686,10 +686,10 @@ if (ENERGY_ATLAS_DATASET := dataset_version("jrc_energy_atlas"))["source"] in [
 ]:
 
     rule retrieve_electricity_demand_energy_atlas:
-        message:
-            "Retrieving JRC Energy Atlas electricity demand data raster"
         output:
             tif=f"{ENERGY_ATLAS_DATASET['folder']}/electricity_tot_demand_2019.tif",
+        message:
+            "Retrieving JRC Energy Atlas electricity demand data raster"
         run:
             import requests
 
@@ -708,10 +708,10 @@ if (
 )["source"] in ["primary", "archive"]:
 
     rule retrieve_desnz_electricity_consumption:
-        message:
-            "Retrieving DESNZ subnational electricity consumption data"
         output:
             xlsx=f"{DESNZ_ELECTRICITY_CONSUMPTION_DATASET['folder']}/Subnational_electricity_consumption_statistics_2005-2024.xlsx",
+        message:
+            "Retrieving DESNZ subnational electricity consumption data"
         run:
             import requests
 
@@ -726,22 +726,22 @@ if (
 if (ONS_LAD_DATASET := dataset_version("ons_lad"))["source"] in ["archive"]:
 
     rule retrieve_ons_lad:
-        message:
-            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
         input:
             geojson=storage(ONS_LAD_DATASET["url"]),
         output:
             geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
         run:
             copy2(input["geojson"], output["geojson"])
 
 elif ONS_LAD_DATASET["source"] in ["primary"]:
 
     rule retrieve_ons_lad:
-        message:
-            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
         output:
             geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
         run:
             import requests
 
@@ -763,17 +763,17 @@ if (SHIP_RASTER_DATASET := dataset_version("ship_raster"))["source"] in [
 ]:
 
     rule retrieve_ship_raster:
-        message:
-            "Retrieving shipping raster data"
         input:
             zip_file=storage(SHIP_RASTER_DATASET["url"]),
         output:
             zip_file=f"{SHIP_RASTER_DATASET['folder']}/shipdensity_global.zip",
         log:
             "logs/retrieve_ship_raster.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving shipping raster data"
         run:
             copy2(input["zip_file"], output["zip_file"])
 
@@ -784,13 +784,13 @@ if (ENSPRESO_BIOMASS_DATASET := dataset_version("enspreso_biomass"))["source"] i
 ]:
 
     rule retrieve_enspreso_biomass:
-        message:
-            "Retrieving ENSPRESO biomass data"
         input:
             xlsx=storage(ENSPRESO_BIOMASS_DATASET["url"]),
         output:
             xlsx=f"{ENSPRESO_BIOMASS_DATASET['folder']}/ENSPRESO_BIOMASS.xlsx",
         retries: 1
+        message:
+            "Retrieving ENSPRESO biomass data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -803,13 +803,13 @@ if (HOTMAPS_INDUSTRIAL_SITES := dataset_version("hotmaps_industrial_sites"))[
 ]:
 
     rule retrieve_hotmaps_industrial_sites:
-        message:
-            "Retrieving Hotmaps industrial sites"
         input:
             csv=storage(HOTMAPS_INDUSTRIAL_SITES["url"]),
         output:
             csv=f"{HOTMAPS_INDUSTRIAL_SITES['folder']}/Industrial_Database.csv",
         retries: 1
+        message:
+            "Retrieving Hotmaps industrial sites"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -822,13 +822,13 @@ if (NITROGEN_STATISTICS_DATASET := dataset_version("nitrogen_statistics"))[
 ]:
 
     rule retrieve_nitrogen_statistics:
-        message:
-            "Retrieving nitrogen statistics data"
         input:
             xlsx=storage(NITROGEN_STATISTICS_DATASET["url"]),
         output:
             xlsx=f"{NITROGEN_STATISTICS_DATASET['folder']}/nitro-ert.xlsx",
         retries: 1
+        message:
+            "Retrieving nitrogen statistics data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -840,12 +840,12 @@ if (COPERNICUS_LAND_COVER_DATASET := dataset_version("copernicus_land_cover"))[
     # Downloading Copernicus Global Land Cover for land cover and land use:
     # Website: https://land.copernicus.eu/global/products/lc
     rule download_copernicus_land_cover:
-        message:
-            "Retrieving Copernicus land cover data"
         input:
             tif=storage(COPERNICUS_LAND_COVER_DATASET["url"]),
         output:
             tif=f"{COPERNICUS_LAND_COVER_DATASET['folder']}/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
+        message:
+            "Retrieving Copernicus land cover data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -858,12 +858,12 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
     # Downloading LUISA Base Map for land cover and land use:
     # Website: https://ec.europa.eu/jrc/en/luisa
     rule retrieve_luisa_land_cover:
-        message:
-            "Retrieving LUISA land cover data"
         input:
             tif=storage(LUISA_LAND_COVER_DATASET["url"]),
         output:
             tif=f"{LUISA_LAND_COVER_DATASET['folder']}/LUISA_basemap_020321_50m.tif",
+        message:
+            "Retrieving LUISA land cover data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -871,11 +871,11 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
 if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 
     rule retrieve_eez:
-        message:
-            "Retrieving EEZ data"
         output:
             zip_file=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR.zip",
             gpkg=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR/eez_{EEZ_DATASET['version'].split('_')[0]}_lowres.gpkg",
+        message:
+            "Retrieving EEZ data"
         run:
             from uuid import uuid4
 
@@ -905,8 +905,6 @@ if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 elif (EEZ_DATASET := dataset_version("eez"))["source"] in ["archive"]:
 
     rule retrieve_eez:
-        message:
-            "Retrieving EEZ data"
         input:
             zip_file=storage(
                 EEZ_DATASET["url"],
@@ -914,6 +912,8 @@ elif (EEZ_DATASET := dataset_version("eez"))["source"] in ["archive"]:
         output:
             zip_file=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR.zip",
             gpkg=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR/eez_{EEZ_DATASET['version'].split('_')[0]}_lowres.gpkg",
+        message:
+            "Retrieving EEZ data"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -926,13 +926,13 @@ if (WB_URB_POP_DATASET := dataset_version("worldbank_urban_population"))["source
 ]:
 
     rule retrieve_worldbank_urban_population:
-        message:
-            "Retrieving World Bank urban population data"
         input:
             zip=storage(WB_URB_POP_DATASET["url"]),
         output:
             zip=f"{WB_URB_POP_DATASET['folder']}/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2.zip",
             csv=f"{WB_URB_POP_DATASET['folder']}/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2.csv",
+        message:
+            "Retrieving World Bank urban population data"
         run:
             copy2(input["zip"], output["zip"])
             unpack_archive(output["zip"], WB_URB_POP_DATASET["folder"])
@@ -954,8 +954,6 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
 ]:
 
     rule retrieve_co2stop:
-        message:
-            "Retrieving CO2STOP data"
         input:
             zip_file=storage(CO2STOP_DATASET["url"]),
         output:
@@ -966,6 +964,8 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
             traps_table2=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_DataInterrogationSystem/Hydrocarbon_Traps_Temp.csv",
             traps_table3=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_DataInterrogationSystem/Hydrocarbon_Traps1.csv",
             traps_map=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_Polygons Data/DaughterUnits_March13.kml",
+        message:
+            "Retrieving CO2STOP data"
         run:
             output_folder = Path(output["zip_file"]).parent
             output_folder.mkdir(parents=True, exist_ok=True)
@@ -981,12 +981,12 @@ if (GEM_EUROPE_GAS_TRACKER_DATASET := dataset_version("gem_europe_gas_tracker"))
 ]:
 
     rule retrieve_gem_europe_gas_tracker:
-        message:
-            "Retrieving GEM Europe Gas Tracker data"
         input:
             xlsx=storage(GEM_EUROPE_GAS_TRACKER_DATASET["url"]),
         output:
             xlsx="data/gem/Europe-Gas-Tracker-2024-05.xlsx",
+        message:
+            "Retrieving GEM Europe Gas Tracker data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -997,12 +997,12 @@ if (GEM_GSPT_DATASET := dataset_version("gem_gspt"))["source"] in [
 ]:
 
     rule retrieve_gem_steel_plant_tracker:
-        message:
-            "Retrieving GEM Global Steel Plant Tracker data"
         input:
             xlsx=storage(GEM_GSPT_DATASET["url"]),
         output:
             xlsx=f"{GEM_GSPT_DATASET['folder']}/Global-Steel-Plant-Tracker.xlsx",
+        message:
+            "Retrieving GEM Global Steel Plant Tracker data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -1029,12 +1029,12 @@ if (BFS_ROAD_VEHICLE_STOCK_DATASET := dataset_version("bfs_road_vehicle_stock"))
 ]:
 
     rule retrieve_bfs_road_vehicle_stock:
-        message:
-            "Retrieving BFS road vehicle stock data"
         input:
             csv=storage(BFS_ROAD_VEHICLE_STOCK_DATASET["url"]),
         output:
             csv=f"{BFS_ROAD_VEHICLE_STOCK_DATASET['folder']}/vehicle_stock.csv",
+        message:
+            "Retrieving BFS road vehicle stock data"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -1047,12 +1047,12 @@ if (BFS_GDP_AND_POPULATION_DATASET := dataset_version("bfs_gdp_and_population"))
 ]:
 
     rule retrieve_bfs_gdp_and_population:
-        message:
-            "Retrieving BFS GDP and population data"
         input:
             xlsx=storage(BFS_GDP_AND_POPULATION_DATASET["url"]),
         output:
             xlsx=f"{BFS_GDP_AND_POPULATION_DATASET['folder']}/gdp_and_population.xlsx",
+        message:
+            "Retrieving BFS GDP and population data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -1104,13 +1104,13 @@ if (WDPA_DATASET := dataset_version("wdpa"))["source"] in [
     # extract the main zip and then merge the contained 3 zipped shapefiles
     # Website: https://www.protectedplanet.net/en/thematic-areas/wdpa
     rule retrieve_wdpa:
-        message:
-            "Downloading protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_DATASET)),
         output:
             zip_file=f"{WDPA_DATASET['folder']}/WDPA_shp.zip",
             gpkg=f"{WDPA_DATASET['folder']}/WDPA.gpkg",
+        message:
+            "Downloading protected area database from WDPA"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -1138,16 +1138,16 @@ if (WDPA_MARINE_DATASET := dataset_version("wdpa_marine"))["source"] in [
 ]:
 
     rule retrieve_wdpa_marine:
-        # Downloading Marine protected area database from WDPA
-        # extract the main zip and then merge the contained 3 zipped shapefiles
-        # Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
-        message:
-            "Downloading Marine protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_MARINE_DATASET)),
         output:
             zip_file=f"{WDPA_MARINE_DATASET['folder']}/WDPA_WDOECM_marine.zip",
             gpkg=f"{WDPA_MARINE_DATASET['folder']}/WDPA_WDOECM_marine.gpkg",
+        # Downloading Marine protected area database from WDPA
+        # extract the main zip and then merge the contained 3 zipped shapefiles
+        # Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
+        message:
+            "Downloading Marine protected area database from WDPA"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -1172,15 +1172,15 @@ if (INSTRAT_CO2_PRICES_DATASET := dataset_version("instrat_co2_prices"))["source
 ]:
 
     rule retrieve_co2_prices:
-        message:
-            "Retrieving CO2 emission allowances price in EU ETS system"
         output:
             csv=f"{INSTRAT_CO2_PRICES_DATASET['folder']}/prices_eu_ets_all.csv",
         log:
             "logs/retrieve_co2_prices.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving CO2 emission allowances price in EU ETS system"
         run:
             import pandas as pd
 
@@ -1203,12 +1203,12 @@ if (
 )["source"] in ["primary", "archive"]:
 
     rule retrieve_worldbank_commodity_prices:
-        message:
-            "Retrieving monthly commodity price time series (including fossil fuels)"
         input:
             xlsx=storage(WORLD_BANK_COMMODITY_PRICES_DATASET["url"]),
         output:
             xlsx=f"{WORLD_BANK_COMMODITY_PRICES_DATASET['folder']}/CMO-Historical-Data-Monthly.xlsx",
+        message:
+            "Retrieving monthly commodity price time series (including fossil fuels)"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -1216,8 +1216,6 @@ if (
 if (TYDNP_DATASET := dataset_version("tyndp"))["source"] in ["primary", "archive"]:
 
     rule retrieve_tyndp:
-        message:
-            "Retrieving TYNDP network topology data"
         input:
             line_data=storage(TYDNP_DATASET["url"] + "/Line-data.zip"),
             nodes=storage(TYDNP_DATASET["url"] + "/Nodes.zip"),
@@ -1228,6 +1226,8 @@ if (TYDNP_DATASET := dataset_version("tyndp"))["source"] in ["primary", "archive
             nodes=f"{TYDNP_DATASET['folder']}/Nodes/LIST OF NODES.xlsx",
         log:
             "logs/retrieve_tyndp.log",
+        message:
+            "Retrieving TYNDP network topology data"
         run:
             for key in input.keys():
                 # Keep zip file
@@ -1301,8 +1301,6 @@ if OSM_DATASET["source"] in ["archive"]:
     OSM_ARCHIVE_FILES = get_osm_archive_files(OSM_DATASET["version"])
 
     rule retrieve_osm_archive:
-        message:
-            "Retrieving OSM archive data"
         input:
             **{
                 file: storage(f"{OSM_DATASET['url']}/{file}")
@@ -1315,6 +1313,8 @@ if OSM_DATASET["source"] in ["archive"]:
         threads: 1
         resources:
             mem_mb=500,
+        message:
+            "Retrieving OSM archive data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1340,8 +1340,6 @@ if OSM_DATASET_INCUMBENT["source"] in ["archive"] and OSM_DATASET_INCUMBENT[
     )
 
     rule retrieve_osm_archive_incumbent:
-        message:
-            "Retrieving OSM archive incumbent data"
         input:
             **{
                 file: storage(f"{OSM_DATASET_INCUMBENT['url']}/{file}")
@@ -1357,6 +1355,8 @@ if OSM_DATASET_INCUMBENT["source"] in ["archive"] and OSM_DATASET_INCUMBENT[
         threads: 1
         resources:
             mem_mb=500,
+        message:
+            "Retrieving OSM archive incumbent data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1373,10 +1373,6 @@ if OSM_DATASET["source"] == "build":
     ]
 
     rule retrieve_osm_data_raw:
-        message:
-            "Retrieving OSM electricity grid raw data for {wildcards.country}"
-        params:
-            overpass_api=config_provider("overpass_api"),
         output:
             **{
                 file.replace(
@@ -1387,6 +1383,10 @@ if OSM_DATASET["source"] == "build":
         log:
             "logs/retrieve_osm_data_{country}.log",
         threads: 1
+        params:
+            overpass_api=config_provider("overpass_api"),
+        message:
+            "Retrieving OSM electricity grid raw data for {wildcards.country}"
         script:
             scripts("retrieve_osm_data.py")
 
@@ -1402,22 +1402,20 @@ if OSM_DATASET["source"] == "build":
 if (NATURA_DATASET := dataset_version("natura"))["source"] in ["archive"]:
 
     rule retrieve_natura:
-        message:
-            "Retrieving Natura 2000 raster data"
         input:
             storage(NATURA_DATASET["url"]),
         output:
             f"{NATURA_DATASET['folder']}/natura.tiff",
         log:
             "logs/retrieve_natura.log",
+        message:
+            "Retrieving Natura 2000 raster data"
         run:
             copy2(input[0], output[0])
 
 elif NATURA_DATASET["source"] == "build":
 
     rule build_natura_raster:
-        message:
-            "Building Natura 2000 raster data"
         input:
             online=storage(NATURA_DATASET["url"]),
             cutout=lambda w: input_cutout(w),
@@ -1425,10 +1423,12 @@ elif NATURA_DATASET["source"] == "build":
             zip=f"{NATURA_DATASET['folder']}/raw/natura.zip",
             raw=directory(f"{NATURA_DATASET['folder']}/raw"),
             raster=f"{NATURA_DATASET['folder']}/natura.tiff",
-        resources:
-            mem_mb=5000,
         log:
             "logs/build_natura.log",
+        resources:
+            mem_mb=5000,
+        message:
+            "Building Natura 2000 raster data"
         script:
             scripts("build_natura.py")
 
@@ -1438,13 +1438,13 @@ if (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in [
 ]:
 
     rule retrieve_osm_boundaries:
-        message:
-            "Retrieving OSM admin boundaries for {wildcards.country}"
         output:
             json=f"{OSM_BOUNDARIES_DATASET['folder']}/{country}_adm1.json",
         log:
             "logs/retrieve_osm_boundaries_{country}_adm1.log",
         threads: 1
+        message:
+            "Retrieving OSM admin boundaries for {wildcards.country}"
         script:
             scripts("retrieve_osm_boundaries.py")
 
@@ -1453,8 +1453,6 @@ elif (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in
 ]:
 
     rule retrieve_osm_boundaries:
-        message:
-            "Retrieving OSM admin boundaries data"
         input:
             storage(
                 f"{OSM_BOUNDARIES_DATASET['url']}",
@@ -1465,6 +1463,8 @@ elif (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in
             json3=f"{OSM_BOUNDARIES_DATASET['folder']}/MD_adm1.json",
             json4=f"{OSM_BOUNDARIES_DATASET['folder']}/BA_adm1.json",
             zip_file=f"{OSM_BOUNDARIES_DATASET['folder']}/osm_boundaries.zip",
+        message:
+            "Retrieving OSM admin boundaries data"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input[0], output["zip_file"])
@@ -1478,8 +1478,6 @@ if (
 )["source"] in ["primary", "archive"]:
 
     rule retrieve_geothermal_heat_utilisation_potentials:
-        message:
-            "Retrieving geothermal heat utilisation potentials"
         input:
             isi_heat_potentials=storage(
                 GEOTHERMAL_HEAT_UTILISATION_POTENTIALS_DATASET["url"]
@@ -1488,8 +1486,10 @@ if (
             isi_heat_potentials=f"{GEOTHERMAL_HEAT_UTILISATION_POTENTIALS_DATASET['folder']}/isi_heat_utilisation_potentials.xlsx",
         log:
             "logs/retrieve_geothermal_heat_utilisation_potentials.log",
-        threads: 1
         retries: 2
+        threads: 1
+        message:
+            "Retrieving geothermal heat utilisation potentials"
         run:
             copy2(input["isi_heat_potentials"], output["isi_heat_potentials"])
 
@@ -1500,37 +1500,35 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
 ]:
 
     rule retrieve_lau_regions:
-        message:
-            "Retrieving Local Administrative Units and Administation Unit regions"
         input:
             lau_regions=storage(LAU_REGIONS_DATASET["url"]),
         output:
             zip=f"{LAU_REGIONS_DATASET['folder']}/lau_regions.zip",
         log:
             "logs/retrieve_lau_regions.log",
-        threads: 1
         retries: 2
+        threads: 1
+        message:
+            "Retrieving Local Administrative Units and Administation Unit regions"
         run:
             copy2(input["lau_regions"], output["zip"])
 
     rule retrieve_seawater_temperature:
-        message:
-            "Retrieving seawater temperature data for {wildcards.year}"
-        params:
-            default_cutout=config_provider("atlite", "default_cutout"),
-            test_data_url=dataset_version("seawater_temperature")["url"],
         output:
             seawater_temperature="data/seawater_temperature_{year}.nc",
         log:
             "logs/retrieve_seawater_temperature_{year}.log",
         resources:
             mem_mb=10000,
+        params:
+            default_cutout=config_provider("atlite", "default_cutout"),
+            test_data_url=dataset_version("seawater_temperature")["url"],
+        message:
+            "Retrieving seawater temperature data for {wildcards.year}"
         script:
             scripts("retrieve_seawater_temperature.py")
 
     rule retrieve_hera_data_test_cutout:
-        message:
-            "Retrieving HERA test cutout data"
         input:
             hera_data_url=storage(
                 f"https://zenodo.org/records/15828866/files/hera_be_2013-03-01_to_2013-03-08.zip"
@@ -1538,19 +1536,19 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
         output:
             river_discharge=f"data/hera_be_2013-03-01_to_2013-03-08/river_discharge_be_2013-03-01_to_2013-03-08.nc",
             ambient_temperature=f"data/hera_be_2013-03-01_to_2013-03-08/ambient_temp_be_2013-03-01_to_2013-03-08.nc",
-        params:
-            folder="data",
         log:
             "logs/retrieve_hera_data_test_cutout.log",
+        retries: 2
         resources:
             mem_mb=10000,
-        retries: 2
+        params:
+            folder="data",
+        message:
+            "Retrieving HERA test cutout data"
         run:
             unpack_archive(input[0], params.folder)
 
     rule retrieve_hera_data:
-        message:
-            "Retrieving HERA data for {wildcards.year}"
         input:
             river_discharge=storage(
                 "https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/CEMS-EFAS/HERA/VER1-0/Data/NetCDF/river_discharge/dis.HERA{year}.nc"
@@ -1561,13 +1559,15 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
         output:
             river_discharge="data/hera_{year}/river_discharge_{year}.nc",
             ambient_temperature="data/hera_{year}/ambient_temp_{year}.nc",
-        params:
-            snapshot_year="{year}",
         log:
             "logs/retrieve_hera_data_{year}.log",
+        retries: 2
         resources:
             mem_mb=10000,
-        retries: 2
+        params:
+            snapshot_year="{year}",
+        message:
+            "Retrieving HERA data for {wildcards.year}"
         run:
             move(input.river_discharge, output.river_discharge)
             move(input.ambient_temperature, output.ambient_temperature)
@@ -1578,8 +1578,6 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 ]:
 
     rule retrieve_jrc_ardeco:
-        message:
-            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/SUVGDP?versions=2021&unit=EUR&format=csv-table"
@@ -1590,6 +1588,8 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
         output:
             ardeco_gdp=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SUVGDP.2021.table.csv",
             ardeco_pop=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SNPTD.2021.table.csv",
+        message:
+            "Retrieving JRC ARDECO data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1598,8 +1598,6 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 elif (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in ["archive"]:
 
     rule retrieve_jrc_ardeco:
-        message:
-            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/ARDECO-SUVGDP.2021.table.csv"
@@ -1610,6 +1608,8 @@ elif (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in ["archiv
         output:
             ardeco_gdp=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SUVGDP.2021.table.csv",
             ardeco_pop=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SNPTD.2021.table.csv",
+        message:
+            "Retrieving JRC ARDECO data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1622,8 +1622,6 @@ if (AQUIFER_DATA_DATASET := dataset_version("aquifer_data"))["source"] in [
 ]:
 
     rule retrieve_aquifer_data_bgr:
-        message:
-            "Retrieving BGR aquifer data"
         input:
             zip_file=storage(AQUIFER_DATA_DATASET["url"]),
         output:
@@ -1640,6 +1638,8 @@ if (AQUIFER_DATA_DATASET := dataset_version("aquifer_data"))["source"] in [
                     "sbx",
                 ],
             ),
+        message:
+            "Retrieving BGR aquifer data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             unpack_archive(
@@ -1654,14 +1654,14 @@ if (DH_AREAS_DATASET := dataset_version("dh_areas"))["source"] in [
 ]:
 
     rule retrieve_dh_areas:
-        message:
-            "Retrieving District Heating areas"
         input:
             dh_areas=storage(DH_AREAS_DATASET["url"]),
         output:
             dh_areas=f"{DH_AREAS_DATASET['folder']}/dh_areas.gpkg",
         log:
             "logs/retrieve_dh_areas.log",
+        message:
+            "Retrieving District Heating areas"
         run:
             copy2(input["dh_areas"], output["dh_areas"])
 
@@ -1671,21 +1671,21 @@ if (MOBILITY_PROFILES_DATASET := dataset_version("mobility_profiles"))["source"]
 ]:
 
     rule retrieve_mobility_profiles:
-        message:
-            "Retrieving mobility profiles data"
         input:
             kfz=storage(MOBILITY_PROFILES_DATASET["url"] + "/kfz.csv"),
             pkw=storage(MOBILITY_PROFILES_DATASET["url"] + "/pkw.csv"),
         output:
             kfz=f"{MOBILITY_PROFILES_DATASET['folder']}/kfz.csv",
             pkw=f"{MOBILITY_PROFILES_DATASET['folder']}/pkw.csv",
-        threads: 1
-        resources:
-            mem_mb=1000,
         log:
             "logs/retrieve_mobility_profiles.log",
         benchmark:
             "benchmarks/retrieve_mobility_profiles"
+        threads: 1
+        resources:
+            mem_mb=1000,
+        message:
+            "Retrieving mobility profiles data"
         run:
             copy2(input["kfz"], output["kfz"])
             copy2(input["pkw"], output["pkw"])
diff --git a/rules/solve_electricity.smk b/rules/solve_electricity.smk
index 1259943104..3acdfdaa8e 100644
--- a/rules/solve_electricity.smk
+++ b/rules/solve_electricity.smk
@@ -4,15 +4,6 @@
 
 
 rule solve_network:
-    message:
-        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
     input:
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
     output:
@@ -31,27 +22,26 @@ rule solve_network:
         python=RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_python.log",
     benchmark:
         (RESULTS + "benchmarks/solve_network/base_s_{clusters}_elec_{opts}")
+    shadow:
+        shadow_config
     threads: solver_threads
     resources:
         mem_mb=memory,
         runtime=config_provider("solving", "runtime", default="6h"),
-    shadow:
-        shadow_config
-    script:
-        scripts("solve_network.py")
-
-
-rule solve_operations_network:
-    message:
-        "Solving electricity network operations optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     params:
-        options=config_provider("solving", "options"),
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
         co2_sequestration_potential=config_provider(
             "sector", "co2_sequestration_potential", default=200
         ),
         custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
+    script:
+        scripts("solve_network.py")
+
+
+rule solve_operations_network:
     input:
         network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
     output:
@@ -65,11 +55,21 @@ rule solve_operations_network:
         + "logs/solve_operations_network/base_s_{clusters}_elec_{opts}_op_python.log",
     benchmark:
         (RESULTS + "benchmarks/solve_operations_network/base_s_{clusters}_elec_{opts}")
+    shadow:
+        shadow_config
     threads: 4
     resources:
         mem_mb=memory,
         runtime=config_provider("solving", "runtime", default="6h"),
-    shadow:
-        shadow_config
+    params:
+        options=config_provider("solving", "options"),
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving electricity network operations optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     script:
         scripts("solve_operations_network.py")
diff --git a/rules/solve_myopic.smk b/rules/solve_myopic.smk
index fb50153252..edc8c59a94 100644
--- a/rules/solve_myopic.smk
+++ b/rules/solve_myopic.smk
@@ -4,16 +4,6 @@
 
 
 rule add_existing_baseyear:
-    message:
-        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
-        carriers=config_provider("electricity", "renewable_carriers"),
-        costs=config_provider("costs"),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -31,14 +21,6 @@ rule add_existing_baseyear:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
         ),
-    wildcard_constraints:
-        # TODO: The first planning_horizon needs to be aligned across scenarios
-        # snakemake does not support passing functions to wildcard_constraints
-        # reference: https://github.com/snakemake/snakemake/issues/2703
-        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
-    threads: 1
-    resources:
-        mem_mb=3000,
     log:
         logs(
             "add_existing_baseyear_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -47,6 +29,24 @@ rule add_existing_baseyear:
         benchmarks(
             "add_existing_baseyear/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    wildcard_constraints:
+        # TODO: The first planning_horizon needs to be aligned across scenarios
+        # snakemake does not support passing functions to wildcard_constraints
+        # reference: https://github.com/snakemake/snakemake/issues/2703
+        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
+    threads: 1
+    resources:
+        mem_mb=3000,
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+        carriers=config_provider("electricity", "renewable_carriers"),
+        costs=config_provider("costs"),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_existing_baseyear.py")
 
@@ -60,22 +60,6 @@ def input_profile_tech_brownfield(w):
 
 
 rule add_brownfield:
-    message:
-        "Adding brownfield constraints for existing infrastructure for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        H2_retrofit=config_provider("sector", "H2_retrofit"),
-        H2_retrofit_capacity_per_CH4=config_provider(
-            "sector", "H2_retrofit_capacity_per_CH4"
-        ),
-        threshold_capacity=config_provider("existing_capacities", "threshold_capacity"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        carriers=config_provider("electricity", "renewable_carriers"),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        tes=config_provider("sector", "tes"),
-        dynamic_ptes_capacity=config_provider(
-            "sector", "district_heating", "ptes", "dynamic_capacity"
-        ),
     input:
         unpack(input_profile_tech_brownfield),
         network=resources(
@@ -86,9 +70,6 @@ rule add_brownfield:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
         ),
-    threads: 4
-    resources:
-        mem_mb=10000,
     log:
         logs(
             "add_brownfield_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -97,6 +78,25 @@ rule add_brownfield:
         benchmarks(
             "add_brownfield/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 4
+    resources:
+        mem_mb=10000,
+    params:
+        H2_retrofit=config_provider("sector", "H2_retrofit"),
+        H2_retrofit_capacity_per_CH4=config_provider(
+            "sector", "H2_retrofit_capacity_per_CH4"
+        ),
+        threshold_capacity=config_provider("existing_capacities", "threshold_capacity"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        carriers=config_provider("electricity", "renewable_carriers"),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        tes=config_provider("sector", "tes"),
+        dynamic_ptes_capacity=config_provider(
+            "sector", "district_heating", "ptes", "dynamic_capacity"
+        ),
+    message:
+        "Adding brownfield constraints for existing infrastructure for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_brownfield.py")
 
@@ -105,15 +105,6 @@ ruleorder: add_existing_baseyear > add_brownfield
 
 
 rule solve_sector_network_myopic:
-    message:
-        "Solving sector-coupled network with myopic foresight for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
@@ -129,8 +120,6 @@ rule solve_sector_network_myopic:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
@@ -138,14 +127,25 @@ rule solve_sector_network_myopic:
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_memory.log",
         python=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_python.log",
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="6h"),
     benchmark:
         (
             RESULTS
             + "benchmarks/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving sector-coupled network with myopic foresight for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
diff --git a/rules/solve_overnight.smk b/rules/solve_overnight.smk
index a56dfb2809..0733312440 100644
--- a/rules/solve_overnight.smk
+++ b/rules/solve_overnight.smk
@@ -4,15 +4,6 @@
 
 
 rule solve_sector_network:
-    message:
-        "Solving sector-coupled network with overnight investment optimization for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -28,8 +19,6 @@ rule solve_sector_network:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
@@ -37,14 +26,25 @@ rule solve_sector_network:
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_memory.log",
         python=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_python.log",
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="6h"),
     benchmark:
         (
             RESULTS
             + "benchmarks/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving sector-coupled network with overnight investment optimization for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
diff --git a/rules/solve_perfect.smk b/rules/solve_perfect.smk
index f4e5a73c08..be21e6ffcc 100644
--- a/rules/solve_perfect.smk
+++ b/rules/solve_perfect.smk
@@ -2,16 +2,6 @@
 #
 # SPDX-License-Identifier: MIT
 rule add_existing_baseyear:
-    message:
-        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
-        carriers=config_provider("electricity", "renewable_carriers"),
-        costs=config_provider("costs"),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -33,12 +23,6 @@ rule add_existing_baseyear:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
         ),
-    wildcard_constraints:
-        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
-    threads: 1
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="24h"),
     log:
         logs(
             "add_existing_baseyear_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -47,6 +31,22 @@ rule add_existing_baseyear:
         benchmarks(
             "add_existing_baseyear/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    wildcard_constraints:
+        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
+    threads: 1
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="24h"),
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+        carriers=config_provider("electricity", "renewable_carriers"),
+        costs=config_provider("costs"),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_existing_baseyear.py")
 
@@ -60,11 +60,6 @@ def input_network_year(w):
 
 
 rule prepare_perfect_foresight:
-    message:
-        "Preparing data for perfect foresight optimization for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        costs=config_provider("costs"),
-        time_resolution=config_provider("clustering", "temporal", "sector"),
     input:
         unpack(input_network_year),
         brownfield_network=lambda w: (
@@ -77,29 +72,23 @@ rule prepare_perfect_foresight:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc"
         ),
-    threads: 2
-    resources:
-        mem_mb=10000,
     log:
         logs("prepare_perfect_foresight_{clusters}_{opts}_{sector_opts}.log"),
     benchmark:
         benchmarks("prepare_perfect_foresight_{clusters}_{opts}_{sector_opts}")
+    threads: 2
+    resources:
+        mem_mb=10000,
+    params:
+        costs=config_provider("costs"),
+        time_resolution=config_provider("clustering", "temporal", "sector"),
+    message:
+        "Preparing data for perfect foresight optimization for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("prepare_perfect_foresight.py")
 
 
 rule solve_sector_network_perfect:
-    message:
-        "Solving sector-coupled network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        sector=config_provider("sector"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc"
@@ -116,11 +105,6 @@ rule solve_sector_network_perfect:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem"),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years_solver.log",
@@ -133,6 +117,22 @@ rule solve_sector_network_perfect:
             RESULTS
             + "benchmarks/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        sector=config_provider("sector"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving sector-coupled network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
 
@@ -148,8 +148,6 @@ def input_networks_make_summary_perfect(w):
 
 
 rule make_summary_perfect:
-    message:
-        "Creating summary for perfect foresight optimization results"
     input:
         unpack(input_networks_make_summary_perfect),
         costs=resources("costs_2020_processed.csv"),
@@ -167,12 +165,14 @@ rule make_summary_perfect:
         price_statistics=RESULTS + "csvs/price_statistics.csv",
         metrics=RESULTS + "csvs/metrics.csv",
         co2_emissions=RESULTS + "csvs/co2_emissions.csv",
-    threads: 2
-    resources:
-        mem_mb=10000,
     log:
         logs("make_summary_perfect.log"),
     benchmark:
         benchmarks("make_summary_perfect")
+    threads: 2
+    resources:
+        mem_mb=10000,
+    message:
+        "Creating summary for perfect foresight optimization results"
     script:
         scripts("make_summary_perfect.py")
diff --git a/scripts/build_biomass_potentials.py b/scripts/build_biomass_potentials.py
index 796bd9e554..5736d595d4 100755
--- a/scripts/build_biomass_potentials.py
+++ b/scripts/build_biomass_potentials.py
@@ -47,9 +47,11 @@ def _calc_unsustainable_potential(df, df_unsustainable, share_unsus, resource_ty
 
     return (
         df.apply(
-            lambda c: c.sum()
-            / df.loc[df.index.str[:2] == c.name[:2]].sum().sum()
-            * resource_potential.loc[c.name[:2]],
+            lambda c: (
+                c.sum()
+                / df.loc[df.index.str[:2] == c.name[:2]].sum().sum()
+                * resource_potential.loc[c.name[:2]]
+            ),
             axis=1,
         )
         .mul(share_unsus)
diff --git a/scripts/build_gas_network.py b/scripts/build_gas_network.py
index 9b006ed904..285d987f09 100644
--- a/scripts/build_gas_network.py
+++ b/scripts/build_gas_network.py
@@ -131,8 +131,10 @@ def prepare_dataset(
     # lines which have way too discrepant line lengths
     # get assigned haversine length * length factor
     df["length_haversine"] = df.apply(
-        lambda p: length_factor
-        * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y]),
+        lambda p: (
+            length_factor
+            * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y])
+        ),
         axis=1,
     )
     ratio = df.eval("length / length_haversine")
diff --git a/scripts/build_retro_cost.py b/scripts/build_retro_cost.py
index 89647e886b..7b38304e48 100755
--- a/scripts/build_retro_cost.py
+++ b/scripts/build_retro_cost.py
@@ -496,9 +496,11 @@ def prepare_cost_retro(country_iso_dic):
         cost_retro[["cost_fix", "cost_var"]] = cost_retro[
             ["cost_fix", "cost_var"]
         ].apply(
-            lambda x: x
-            * interest_rate
-            / (1 - (1 + interest_rate) ** -cost_retro.loc[x.index, "life_time"])
+            lambda x: (
+                x
+                * interest_rate
+                / (1 - (1 + interest_rate) ** -cost_retro.loc[x.index, "life_time"])
+            )
         )
 
     # weightings of costs ---------------------------------------------
diff --git a/scripts/build_tyndp_network.py b/scripts/build_tyndp_network.py
index 1f794aef17..362df8b91d 100644
--- a/scripts/build_tyndp_network.py
+++ b/scripts/build_tyndp_network.py
@@ -139,18 +139,18 @@ def build_shapes(
     # Bidding zone shapes
     bidding_shapes = bidding_zones.assign(
         bz_id=lambda df: df["zone_name"].apply(format_bz_names),
-        node=lambda df: df.geometry.to_crs(distance_crs)
-        .representative_point()
-        .to_crs(geo_crs),
+        node=lambda df: (
+            df.geometry.to_crs(distance_crs).representative_point().to_crs(geo_crs)
+        ),
         x=lambda df: df["node"].x,
         y=lambda df: df["node"].y,
     ).set_index("bz_id")
 
     # Country shapes
     country_shapes = bidding_shapes.dissolve(by="country")[["geometry"]].assign(
-        node=lambda df: df.geometry.to_crs(distance_crs)
-        .representative_point()
-        .to_crs(geo_crs),
+        node=lambda df: (
+            df.geometry.to_crs(distance_crs).representative_point().to_crs(geo_crs)
+        ),
         x=lambda df: df["node"].x,
         y=lambda df: df["node"].y,
     )
diff --git a/scripts/clean_osm_data.py b/scripts/clean_osm_data.py
index fce0ce52e6..a404ef0d1c 100644
--- a/scripts/clean_osm_data.py
+++ b/scripts/clean_osm_data.py
@@ -558,7 +558,7 @@ def _import_routes_relation(path_relation):
 
                 df = pd.DataFrame(data["elements"])
                 df["id"] = df["id"].astype(str)
-                df["id"] = df["id"].apply(lambda x: (f"relation/{x}"))
+                df["id"] = df["id"].apply(lambda x: f"relation/{x}")
                 df["country"] = country
 
                 col_tags = [
@@ -1725,10 +1725,12 @@ def _extend_lines_to_substations(gdf_lines, gdf_substations_polygon, tol=BUS_TOL
     gdf = (
         gdf.groupby(["line_id", "voltage_line"])
         .apply(
-            lambda x: x[["bus_id", "geometry_bus"]]
-            .dropna()
-            .set_index("bus_id")["geometry_bus"]
-            .to_dict(),
+            lambda x: (
+                x[["bus_id", "geometry_bus"]]
+                .dropna()
+                .set_index("bus_id")["geometry_bus"]
+                .to_dict()
+            ),
             include_groups=False,
         )
         .reset_index()
diff --git a/scripts/cluster_gas_network.py b/scripts/cluster_gas_network.py
index 05f527101a..ebbab910d5 100755
--- a/scripts/cluster_gas_network.py
+++ b/scripts/cluster_gas_network.py
@@ -63,8 +63,10 @@ def build_clustered_gas_network(df, bus_regions, length_factor=1.25):
 
     # recalculate lengths as center to center * length factor
     df["length"] = df.apply(
-        lambda p: length_factor
-        * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y]),
+        lambda p: (
+            length_factor
+            * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y])
+        ),
         axis=1,
     )
 
diff --git a/scripts/make_network_comparison.py b/scripts/make_network_comparison.py
index 846e06fa8a..fc3cda97f6 100644
--- a/scripts/make_network_comparison.py
+++ b/scripts/make_network_comparison.py
@@ -219,9 +219,11 @@ def to_long_format(metric: str) -> pd.DataFrame:
                 value_name="length",
             )
             .assign(
-                parameter=lambda df: df["parameter"]
-                .str.replace(col_prefix, "", regex=False)
-                .map(label_map)
+                parameter=lambda df: (
+                    df["parameter"]
+                    .str.replace(col_prefix, "", regex=False)
+                    .map(label_map)
+                )
             )
         )
 
diff --git a/scripts/plot_hydrogen_network.py b/scripts/plot_hydrogen_network.py
index 350631841b..f1e58bdc45 100644
--- a/scripts/plot_hydrogen_network.py
+++ b/scripts/plot_hydrogen_network.py
@@ -36,7 +36,9 @@ def group_pipes(df, drop_direction=False):
     # there are pipes for each investment period rename to AC buses name for plotting
     df["index_orig"] = df.index
     df.index = df.apply(
-        lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
+        lambda x: (
+            f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}"
+        ),
         axis=1,
     )
     return df.groupby(level=0).agg(
@@ -108,7 +110,9 @@ def plot_h2_map(n, regions):
 
             h2_retro["index_orig"] = h2_retro.index
             h2_retro.index = h2_retro.apply(
-                lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
+                lambda x: (
+                    f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}"
+                ),
                 axis=1,
             )
 
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index c084f19e01..4b6429b47c 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -126,8 +126,10 @@ def check_p_min_p_max(p_nom_max):
     # adjust name to fit syntax of nominal constraint per bus
     df = p_nom_max.reset_index()
     df["name"] = df.apply(
-        lambda row: f"nom_max_{row['carrier']}"
-        + (f"_{row['build_year']}" if row["build_year"] is not None else ""),
+        lambda row: (
+            f"nom_max_{row['carrier']}"
+            + (f"_{row['build_year']}" if row["build_year"] is not None else "")
+        ),
         axis=1,
     )
 
diff --git a/test/test_data_versions_layer.py b/test/test_data_versions_layer.py
index 982e5c90d7..86809986f8 100644
--- a/test/test_data_versions_layer.py
+++ b/test/test_data_versions_layer.py
@@ -51,19 +51,23 @@ def sort_versions(df: pd.DataFrame) -> pd.DataFrame:
     error="Archive entries must have a URL",
 )
 one_latest_per_dataset_source = Check(
-    lambda df: df[df["tags"].str.contains("latest")]
-    .groupby(["dataset", "source"])
-    .size()
-    .eq(1)
-    .all(),
+    lambda df: (
+        df[df["tags"].str.contains("latest")]
+        .groupby(["dataset", "source"])
+        .size()
+        .eq(1)
+        .all()
+    ),
     error="Exactly one 'latest' tag required per dataset/source combination",
 )
 latest_same_version_across_sources = Check(
-    lambda df: df[(df["tags"].str.contains("latest")) & (df["version"] != "unknown")]
-    .groupby("dataset")["version"]
-    .nunique()
-    .le(1)
-    .all(),
+    lambda df: (
+        df[(df["tags"].str.contains("latest")) & (df["version"] != "unknown")]
+        .groupby("dataset")["version"]
+        .nunique()
+        .le(1)
+        .all()
+    ),
     error="All 'latest' entries for a dataset must have the same version across sources (excluding 'unknown')",
 )
 VersionsSchema = pa.DataFrameSchema(

From abea573f94100b72940908ef91590f657335d847 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?= <coroa@posteo.de>
Date: Tue, 14 Apr 2026 10:49:19 +0100
Subject: [PATCH 048/105] fix: remove asynchronous model for distributed client
 (#2149)

---
 scripts/_helpers.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index 4f76c288a9..4c74e4b718 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -1064,7 +1064,7 @@ def load_cutout(
 def setup_dask(nprocesses: int) -> dict:
     if nprocesses > 1:
         cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-        client = Client(cluster, asynchronous=True)
+        client = Client(cluster)
         atexit.register(client.shutdown)
     else:
         client = None

From f5ec6e646acf4bb6d11733f32d917e7511cfe5c2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jonas=20H=C3=B6rsch?=
 <jonas.hoersch@openenergytransition.org>
Date: Tue, 14 Apr 2026 21:07:19 +0100
Subject: [PATCH 049/105] fix: blacklist atlite 0.5.0 (#2150)

* fix: blacklist atlite 0.5.0

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/environment.yaml | 2 +-
 pixi.toml             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/envs/environment.yaml b/envs/environment.yaml
index 74b1642d47..aaadba4458 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -5,7 +5,7 @@ channels:
 - gurobi
 - nodefaults
 dependencies:
-- atlite >=0.3
+- atlite >=0.3,!=0.5.0
 - bokeh >=3.8.0
 - cartopy >=0.25.0
 - copernicusmarine >=2.2.4
diff --git a/pixi.toml b/pixi.toml
index d59fc0e13e..0b67610ed6 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -43,7 +43,7 @@ sync-locks = """
 """
 
 [dependencies]
-atlite = ">=0.3"
+atlite = ">=0.3,!=0.5.0"
 bokeh = ">=3.8.0"
 cartopy = ">=0.25.0"
 copernicusmarine = ">=2.2.4"

From f6d5feeff0ee71def4e19c5e32fd0d0c2d4871a5 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 16 Apr 2026 10:49:11 +0100
Subject: [PATCH 050/105] [github-actions.ci] Update locked envs (#2133)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

* update lock files

* ci: ignore deps cooldown for internal packages

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>

From 918debe918988592bc3d3611ecd5eb8e3ec6234b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Daniel=20R=C3=BCdt?=
 <117752024+daniel-rdt@users.noreply.github.com>
Date: Thu, 23 Apr 2026 10:11:30 +0200
Subject: [PATCH 051/105] feat: improve config validator for scenario
 management (#2155)

* feat: improve config validator for scenario management

* doc: add release note
---
 Snakefile             | 14 +++++++++++++-
 doc/release_notes.rst |  2 ++
 2 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/Snakefile b/Snakefile
index bffdc038a9..5bca217a60 100644
--- a/Snakefile
+++ b/Snakefile
@@ -2,12 +2,13 @@
 #
 # SPDX-License-Identifier: MIT
 
+import copy
 from pathlib import Path
 import yaml
 from os.path import normpath, exists, join
 from shutil import copyfile, move, rmtree
 from dotenv import load_dotenv
-from snakemake.utils import min_version
+from snakemake.utils import min_version, update_config
 
 load_dotenv()
 
@@ -36,6 +37,17 @@ validate_config(config)
 
 run = config["run"]
 scenarios = get_scenarios(run)
+
+for scenario_name, scenario_overrides in scenarios.items():
+    merged = copy.deepcopy(config)
+    update_config(merged, scenario_overrides)
+    try:
+        validate_config(merged)
+    except Exception as e:
+        raise ValueError(
+            f"Scenario '{scenario_name}' failed config validation: {e}"
+        ) from e
+
 RDIR = get_rdir(run)
 shadow_config = get_shadow(run)
 
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 305e48949a..c707e83566 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -20,6 +20,8 @@ Release Notes
 
 * perf: Optimize dask settings for computing weather-dependent profiles (https://github.com/PyPSA/pypsa-eur/pull/2137).
 
+* feat: Improve the config validation to cover scenario management (https://github.com/PyPSA/pypsa-eur/pull/2155).
+
 PyPSA-Eur v2026.02.0 (18th February 2026)
 =========================================
 

From afcec049b9e7c34d6ee62f8ba5f852d8826b3ffd Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Tue, 28 Apr 2026 09:08:39 +0200
Subject: [PATCH 052/105] Heuristically split existing solar capacities 50:50
 between rootop and utility scale (#2088)

* Heuristically split existing solar capacities 50:50 between rootop and utility scale

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [pypsa-bot] run `sync-locks` & `generate-config`

- `pixi run sync-locks`
- `pixi run generate-config`

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 config/config.default.yaml                    |  1 +
 config/schema.default.json                    | 10 +++++
 doc/release_notes.rst                         |  2 +
 scripts/add_existing_baseyear.py              | 37 +++++++++++++++++--
 .../validation/config/existing_capacities.py  |  4 ++
 5 files changed, 50 insertions(+), 4 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 146429bbc1..98713c974a 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -612,6 +612,7 @@ existing_capacities:
   - 2019
   threshold_capacity: 10
   default_heating_lifetime: 20
+  solar_rooftop_ratio: 0.5
   conventional_carriers:
   - lignite
   - coal
diff --git a/config/schema.default.json b/config/schema.default.json
index 0468c33193..91152b3c96 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -2403,6 +2403,11 @@
           "description": "Default lifetime for heating technologies (years).",
           "type": "integer"
         },
+        "solar_rooftop_ratio": {
+          "default": 0.5,
+          "description": "Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+          "type": "number"
+        },
         "conventional_carriers": {
           "description": "List of conventional power plants to include in the sectoral network.",
           "items": {
@@ -10549,6 +10554,11 @@
           "description": "Default lifetime for heating technologies (years).",
           "type": "integer"
         },
+        "solar_rooftop_ratio": {
+          "default": 0.5,
+          "description": "Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+          "type": "number"
+        },
         "conventional_carriers": {
           "description": "List of conventional power plants to include in the sectoral network.",
           "items": {
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index c707e83566..ba0f574e1e 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -22,6 +22,8 @@ Release Notes
 
 * feat: Improve the config validation to cover scenario management (https://github.com/PyPSA/pypsa-eur/pull/2155).
 
+- Added solar rooftop ratio setting to ``add_existing_baseyear`` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
+
 PyPSA-Eur v2026.02.0 (18th February 2026)
 =========================================
 
diff --git a/scripts/add_existing_baseyear.py b/scripts/add_existing_baseyear.py
index 7e03eccb9d..eae92d1423 100644
--- a/scripts/add_existing_baseyear.py
+++ b/scripts/add_existing_baseyear.py
@@ -160,6 +160,7 @@ def add_power_capacities_installed_before_baseyear(
     capacity_threshold: float,
     lifetime_values: dict[str, float],
     renewable_carriers: list[str],
+    solar_rooftop_ratio: float = 0.5,
 ) -> None:
     """
     Add power generation capacities installed before base year.
@@ -184,6 +185,8 @@ def add_power_capacities_installed_before_baseyear(
         Default values for missing data
     renewable_carriers: list
         List of renewable carriers in the network
+    solar_rooftop_ratio: float
+        Ratio of solar capacity to assign to rooftop vs utility-scale (between 0 and 1)
     """
     logger.debug(f"Adding power capacities installed before {baseyear}")
 
@@ -276,6 +279,24 @@ def add_power_capacities_installed_before_baseyear(
         aggfunc="sum",
     )
 
+    if solar_rooftop_ratio != 0:
+        mask = df.index.get_level_values("Fueltype") == "solar"
+        solar = df.loc[mask] * (1 - solar_rooftop_ratio)
+        solar_rooftop = df.loc[mask] * solar_rooftop_ratio
+        rest = df.loc[~mask]
+
+        # Rename column of MultiIndex to add "solar rooftop" as Fueltype
+        pos = solar_rooftop.index.names.index("Fueltype")
+        arrays = [
+            solar_rooftop.index.get_level_values(n) for n in solar_rooftop.index.names
+        ]
+        arrays[pos] = ["solar rooftop"] * len(solar_rooftop)
+        solar_rooftop.index = pd.MultiIndex.from_arrays(
+            arrays, names=solar_rooftop.index.names
+        )
+
+        df = pd.concat([rest, solar, solar_rooftop]).sort_index()
+
     lifetime = df_agg.pivot_table(
         index=["grouping_year", "Fueltype", "resource_class"],
         columns="bus",
@@ -293,6 +314,13 @@ def add_power_capacities_installed_before_baseyear(
         "urban central solid biomass CHP": "biomass",
     }
 
+    cost_key_dict = {
+        "solar": "solar",
+        "solar rooftop": "solar-rooftop",
+        "onwind": "onwind",
+        "offwind-ac": "offwind",
+    }
+
     for grouping_year, generator, resource_class in df.index:
         # capacity is the capacity in MW at each node for this
         capacity = df.loc[grouping_year, generator, resource_class]
@@ -301,10 +329,10 @@ def add_power_capacities_installed_before_baseyear(
         suffix = "-ac" if generator == "offwind" else ""
         name_suffix = f" {generator}{suffix}-{grouping_year}"
         asset_i = capacity.index + name_suffix
-        if generator in ["solar", "onwind", "offwind-ac"]:
+        if generator in ["solar", "solar rooftop", "onwind", "offwind-ac"]:
             asset_i = capacity.index + " " + resource_class + name_suffix
             name_suffix = " " + resource_class + name_suffix
-            cost_key = generator.split("-")[0]
+            cost_key = cost_key_dict[generator]
             # to consider electricity grid connection costs or a split between
             # solar utility and rooftop as well, rather take cost assumptions
             # from existing network than from the cost database
@@ -333,13 +361,13 @@ def add_power_capacities_installed_before_baseyear(
                     "Generator",
                     new_capacity.index,
                     suffix=name_suffix,
-                    bus=new_capacity.index,
+                    bus=n.generators.bus[p_max_pu.columns].values,
                     carrier=generator,
                     p_nom=new_capacity,
                     marginal_cost=marginal_cost,
                     capital_cost=capital_cost,
                     efficiency=costs.at[cost_key, "efficiency"],
-                    p_max_pu=p_max_pu.rename(columns=n.generators.bus),
+                    p_max_pu=p_max_pu.values,
                     build_year=grouping_year,
                     lifetime=costs.at[cost_key, "lifetime"],
                 )
@@ -804,6 +832,7 @@ def add_heating_capacities_installed_before_baseyear(
         capacity_threshold=snakemake.params.existing_capacities["threshold_capacity"],
         lifetime_values=snakemake.params.costs["fill_values"],
         renewable_carriers=renewable_carriers,
+        solar_rooftop_ratio=snakemake.params.existing_capacities["solar_rooftop_ratio"],
     )
 
     if options["heating"]:
diff --git a/scripts/lib/validation/config/existing_capacities.py b/scripts/lib/validation/config/existing_capacities.py
index cc39f84103..a2ddbe93c8 100644
--- a/scripts/lib/validation/config/existing_capacities.py
+++ b/scripts/lib/validation/config/existing_capacities.py
@@ -61,6 +61,10 @@ class ExistingCapacitiesConfig(ConfigModel):
         20,
         description="Default lifetime for heating technologies (years).",
     )
+    solar_rooftop_ratio: float = Field(
+        0.5,
+        description="Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+    )
     conventional_carriers: list[str] = Field(
         default_factory=lambda: ["lignite", "coal", "oil", "uranium"],
         description="List of conventional power plants to include in the sectoral network.",

From 79d7f739b121497555fd77baad65c95e2b1d09d3 Mon Sep 17 00:00:00 2001
From: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Date: Sat, 2 May 2026 12:16:39 +0200
Subject: [PATCH 053/105] Set IISMethod for Gurobi to 1 (#2158)

* config: Set Gurobi IISMethod

* Regenerate config
---
 config/config.default.yaml               | 1 +
 scripts/lib/validation/config/solving.py | 1 +
 2 files changed, 2 insertions(+)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 98713c974a..84e881d96f 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1216,6 +1216,7 @@ solving:
       AggFill: 0
       PreDual: 0
       GURO_PAR_BARDENSETHRESH: 200
+      IISMethod: 1
     "gurobi-numeric-focus":
       NumericFocus: 3
       method: 2
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index b359063bda..878e381a3a 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -350,6 +350,7 @@ class SolvingConfig(BaseModel):
                 "AggFill": 0,
                 "PreDual": 0,
                 "GURO_PAR_BARDENSETHRESH": 200,
+                "IISMethod": 1,
             },
             "gurobi-numeric-focus": {
                 "NumericFocus": 3,

From d5855f5149aa2088db2de5b0fb87186448f199a3 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 4 May 2026 09:14:43 +0000
Subject: [PATCH 054/105] [github-actions.ci] Update locked envs (#2159)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

* fix: also remove exclude-newer from lock file

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
Co-authored-by: lkstrp <lkstrp@pm.me>
---
 .github/workflows/update-lockfile.yaml |    1 +
 envs/default_linux-64.pin.txt          |  335 +-
 envs/default_osx-64.pin.txt            |  305 +-
 envs/default_osx-arm64.pin.txt         |  305 +-
 envs/default_win-64.pin.txt            |  295 +-
 pixi.lock                              | 8181 ++++++++++++------------
 6 files changed, 4534 insertions(+), 4888 deletions(-)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 4afb362c6c..ef161cab93 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -29,6 +29,7 @@ jobs:
         rm pixi.lock
         pixi install --all
         git checkout pixi.toml
+        sed -i '/^\s*exclude-newer:/d' pixi.lock
 
     - name: Export conda environment files
       if: ${{ !vars.PYPSA_BOT_ID }}
diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index d0eaa9ec30..aa98d87f69 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -2,66 +2,65 @@
 # platform: linux-64
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
+https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda#a9f577daf3de00bca7c3c76c0ecbd1de
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda#0aa00f03f9e39fb9876085dee11a85d4
-https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
-https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda#4492fd26db29495f0ba23f146cd5638d
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.1-h35e630c_1.conda#f61eb8cd60ff9057122a3d338b99c00f
-https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.41.3-h5347b49_0.conda#db409b7c1720428638e7c0d509d3e1b5
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda#e18ad67cf881dcadee8b8d9e2f8e5f73
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.2-h35e630c_0.conda#da1b85b6a87e141f5140bb9924cecab0
+https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42-h5347b49_0.conda#38ffe67b78c9d4de527be8315e5ada2c
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
-https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda#186a18e3ba246eccfc7cff00cd19a870
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.52.0-hf4e2dac_0.conda#fd893f6a3002a635b5e50ceb9dd2c0f4
+https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda#c80d8a3b84358cb967fa81e7075fbc8a
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.0-hf4e2dac_0.conda#810d83373448da85c3f673fbcb7ad3a3
 https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
-https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda#c7c83eecbb72d88b940c249af56c8b17
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda#b88d90cad08e6bc8ad540cb310a761fb
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda#e7f7ce06ec24cfcfb9e36d28cf82ba57
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda#49f570f3bc4c874a06ea69b7225753af
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
-https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda#12bd9a3f089ee6c9266a37dab82afabd
+https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda#18335a698559cdbcd86150a48bf54ba6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
-https://conda.anaconda.org/conda-forge/linux-64/python-3.13.12-hc97d973_100_cp313.conda#4c875ed0e78c2d407ec55eadffb8cf3d
+https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda#05051be49267378d2fcd12931e319ac3
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda#646855f357199a12f02a87382d429b75
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda#9063115da5bc35fdc3e1002e69b9ef6e
-https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.30-pthreads_h94d23a6_4.conda#be43915efc66345cccb3c310b6ed0374
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-5_h4a7cf45_openblas.conda#c160954f7418d7b6e87eaf05a8913fa9
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda#b38076eb5c8e40d0106beda6f95d7609
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-5_h0358290_openblas.conda#6636a2b6f1a87572df2970d3ebc87cc0
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.2-py313hf6604e3_1.conda#ca9c6ba4beac38cb3d0a85afde27f94c
+https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.32-pthreads_h94d23a6_0.conda#89d61bc91d3f39fda0ca10fcd3c68594
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-6_h4a7cf45_openblas.conda#6d6d225559bfa6e2f3c90ee9c03d4e2e
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda#881d801569b201c2e753f03c84b85e15
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda#36ae340a916635b97ac8a0655ace2a35
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py313hf6604e3_0.conda#c4a9d2e77eb9fee983a70cf5f047c202
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py313h4b8bb8b_0.conda#ec81bc03787968decae6765c7f61b7cf
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 4267359c1b..14532f7c38 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -2,63 +2,63 @@
 # platform: osx-64
 @EXPLICIT
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 5718dc8df8..3c674001a3 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -2,64 +2,62 @@
 # platform: osx-arm64
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diff --git a/pixi.lock b/pixi.lock
index 76f171ae9c..c0ab21795f 100644
--- a/pixi.lock
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+  - requests
+  - scipy
+  - shapely
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   license: MIT
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+  - freetype >=2.14.3
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-  - libzlib >=1.3.1,<2.0a0
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   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   constrains:
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+  - freetype >=2.14.3
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-  size: 340155
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   - libarchive >=3.8.1,<3.9.0a0
   - libcurl >=8.14.1,<9.0a0
-  - libdeflate >=1.24,<1.25.0a0
+  - libdeflate >=1.24,<1.26.0a0
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   - libgcc >=14
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   - libcurl >=8.14.1,<9.0a0
   - libcxx >=19
-  - libdeflate >=1.24,<1.25.0a0
+  - libdeflate >=1.24,<1.26.0a0
   - libexpat >=2.7.1,<3.0a0
   - libiconv >=1.18,<2.0a0
   - libjpeg-turbo >=3.1.0,<4.0a0
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   - libcurl >=8.14.1,<9.0a0
   - libcxx >=19
-  - libdeflate >=1.24,<1.25.0a0
+  - libdeflate >=1.24,<1.26.0a0
   - libexpat >=2.7.1,<3.0a0
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   - libarchive >=3.8.1,<3.9.0a0
   - libcurl >=8.14.1,<9.0a0
-  - libdeflate >=1.24,<1.25.0a0
+  - libdeflate >=1.24,<1.26.0a0
   - libexpat >=2.7.1,<3.0a0
   - libiconv >=1.18,<2.0a0
   - libjpeg-turbo >=3.1.0,<4.0a0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libgrpc-1.78.0-h9ff2b3e_1.conda
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-  md5: c60e3003fb813f8f5bd0593e47721541
+- conda: https://conda.anaconda.org/conda-forge/win-64/libgrpc-1.78.1-h9ff2b3e_0.conda
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   - libabseil * cxx17*
-  - libabseil >=20260107.0,<20260108.0a0
+  - libabseil >=20260107.1,<20260108.0a0
   - libprotobuf >=6.33.5,<6.33.6.0a0
   - libre2-11 >=2025.11.5
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@@ -19316,11 +19088,11 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   constrains:
-  - grpc-cpp =1.78.0
+  - grpc-cpp =1.78.1
   license: Apache-2.0
   license_family: APACHE
-  size: 11509765
-  timestamp: 1770253565257
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.2-hb03c661_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.4.1-hb03c661_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/libjpeg-turbo-3.1.2-h8616949_0.conda
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+  md5: 57cc1464d457d01ac78f5860b9ca1714
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   license: IJG AND BSD-3-Clause AND Zlib
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libjpeg-turbo-3.1.2-hfd05255_0.conda
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   license: IJG AND BSD-3-Clause AND Zlib
-  size: 841783
-  timestamp: 1762094814336
+  size: 842806
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.11.2-ha09017c_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-5_h47877c9_openblas.conda
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-  md5: b38076eb5c8e40d0106beda6f95d7609
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda
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-  - liblapacke 3.11.0   5*_openblas
-  - libcblas   3.11.0   5*_openblas
+  - blas 2.306   openblas
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-  - blas 2.305   openblas
-  - liblapacke 3.11.0   5*_openblas
+  - libcblas   3.11.0   6*_openblas
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   depends:
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+  - libblas 3.11.0 6_h51639a9_openblas
   constrains:
-  - libcblas   3.11.0   5*_openblas
-  - blas 2.305   openblas
-  - liblapacke 3.11.0   5*_openblas
+  - liblapacke 3.11.0   6*_openblas
+  - libcblas   3.11.0   6*_openblas
+  - blas 2.306   openblas
   license: BSD-3-Clause
   license_family: BSD
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 - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-7_h018ca30_netlib.conda
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-  md5: e487a0e38d89da76410cb92a5db39ec5
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-6_h6ae95b6_openblas.conda
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+  - libblas 3.11.0 6_h4a7cf45_openblas
+  - libcblas 3.11.0 6_h0358290_openblas
+  - liblapack 3.11.0 6_h47877c9_openblas
   constrains:
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+  - blas 2.306   openblas
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/liblapacke-3.11.0-5_h94b3770_openblas.conda
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   license: BSD-3-Clause
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   license_family: MIT
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   license: HPND
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-  - polars-runtime-64 ==1.38.1
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+  - polars-runtime-compat ==1.40.0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.38.1-py310hffdcd12_0.conda
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   - tomli >=1
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.12-h20e6be0_100_cp313.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.13-h20e6be0_100_cp313.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.12-h09917c8_100_cp313.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.13-h09917c8_100_cp313.conda
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   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.5-h40fa522_0.conda
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-  timestamp: 1764460141901
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
-  sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
-  md5: c9f075ab2f33b3bbee9e62d4ad0a6cd8
+  size: 24461
+  timestamp: 1776131454755
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
+  sha256: 245c9ee8d688e23661b95e3c6dd7272ca936fabc03d423cdb3cdee1bbcf9f2f2
+  md5: c2a01a08fc991620a74b32420e97868a
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libzlib 1.3.1 hb9d3cd8_2
+  - libzlib 1.3.2 h25fd6f3_2
   license: Zlib
   license_family: Other
-  size: 92286
-  timestamp: 1727963153079
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.1-hd23fc13_2.conda
-  sha256: 219edbdfe7f073564375819732cbf7cc0d7c7c18d3f546a09c2dfaf26e4d69f3
-  md5: c989e0295dcbdc08106fe5d9e935f0b9
+  size: 95931
+  timestamp: 1774072620848
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.2-hbb4bfdb_2.conda
+  sha256: 5dd728cebca2e96fa48d41661f1a35ed0ee3cb722669eee4e2d854c6745655eb
+  md5: 6276aa61ffc361cbf130d78cfb88a237
   depends:
-  - __osx >=10.13
-  - libzlib 1.3.1 hd23fc13_2
+  - __osx >=11.0
+  - libzlib 1.3.2 hbb4bfdb_2
   license: Zlib
   license_family: Other
-  size: 88544
-  timestamp: 1727963189976
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-h8359307_2.conda
-  sha256: 58f8860756680a4831c1bf4f294e2354d187f2e999791d53b1941834c4b37430
-  md5: e3170d898ca6cb48f1bb567afb92f775
+  size: 92411
+  timestamp: 1774073075482
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.2-h8088a28_2.conda
+  sha256: 8dd2ac25f0ba714263aac5832d46985648f4bfb9b305b5021d702079badc08d2
+  md5: f1c0bce276210bed45a04949cfe8dc20
   depends:
   - __osx >=11.0
-  - libzlib 1.3.1 h8359307_2
+  - libzlib 1.3.2 h8088a28_2
   license: Zlib
   license_family: Other
-  size: 77606
-  timestamp: 1727963209370
-- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.1-h2466b09_2.conda
-  sha256: 8c688797ba23b9ab50cef404eca4d004a948941b6ee533ead0ff3bf52012528c
-  md5: be60c4e8efa55fddc17b4131aa47acbd
+  size: 81123
+  timestamp: 1774072974535
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
+  sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
+  md5: 5187ecf958be3c39110fe691cbd6873e
   depends:
-  - libzlib 1.3.1 h2466b09_2
+  - libzlib 1.3.2 hfd05255_2
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   license: Zlib
   license_family: Other
-  size: 107439
-  timestamp: 1727963788936
+  size: 850351
+  timestamp: 1774072891049
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
   sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
   md5: 2aadb0d17215603a82a2a6b0afd9a4cb

From 6346611a8d80af0ceb09e8764d7e42a4b147e700 Mon Sep 17 00:00:00 2001
From: Adrian Odenweller <adrian.odenweller@pik-potsdam.de>
Date: Mon, 4 May 2026 11:20:05 +0200
Subject: [PATCH 055/105] Fix: Re-introduce capital_cost for non-bicharging
 stores (#2157)

* Fix: Include capital_cost for non-bicharger stores, correct for fuel cell efficiency

* Add release notes
---
 doc/release_notes.rst      | 2 ++
 scripts/add_electricity.py | 8 ++++++++
 2 files changed, 10 insertions(+)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index ba0f574e1e..99bf1d93b2 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,6 +8,8 @@ Release Notes
 
 .. Upcoming Release
 .. =================
+* Fix: Re-introduce capital costs for non-bicharging discharge links in ``add_electricity.py``, e.g. fuel cells.
+
 * The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases (https://github.com/PyPSA/pypsa-eur/pull/2130).
 
 * The industry reference year and the ammonia production data have been updated to 2023 (https://github.com/PyPSA/pypsa-eur/pull/2103)
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 84fd226dfd..a5828c6799 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -1128,6 +1128,13 @@ def attach_stores(
             "Fuel Cell" if lookup_discharge == "fuel cell" else "discharger"
         )
 
+        discharge_capital_cost = (
+            0.0 if "bicharger" in lookup else costs.at[lookup_discharge, "capital_cost"]
+        )
+        if lookup_discharge == "fuel cell":
+            # NB: fuel cell investment cost is per MWel
+            discharge_capital_cost *= costs.at[lookup_discharge, "efficiency"]
+
         n.add(
             "Bus",
             bus_names,
@@ -1172,6 +1179,7 @@ def attach_stores(
             bus1=buses_i,
             carrier=f"{carrier} {discharge_name}",
             efficiency=costs.at[lookup_discharge, "efficiency"] ** roundtrip_correction,
+            capital_cost=discharge_capital_cost,
             p_nom_extendable=True,
             marginal_cost=costs.at[lookup_discharge, "marginal_cost"],
             lifetime=costs.at[lookup_discharge, "lifetime"],

From 23c2fac7299905e7d0ee91d03dac16ffe7bd5d24 Mon Sep 17 00:00:00 2001
From: Gianvito Colucci <123154558+gianvicolux@users.noreply.github.com>
Date: Mon, 4 May 2026 13:02:08 +0200
Subject: [PATCH 056/105] fix/scale vom by efficiency when missing (#2154)

* fix/scale vom by efficiency when missing

* add releas_notes

* refactor/pre-commit

---------

Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
---
 doc/release_notes.rst             |  2 ++
 scripts/add_existing_baseyear.py  |  3 ++-
 scripts/prepare_sector_network.py | 28 +++++++++++++++++++---------
 3 files changed, 23 insertions(+), 10 deletions(-)

diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 99bf1d93b2..4bc3f28e86 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -22,6 +22,8 @@ Release Notes
 
 * perf: Optimize dask settings for computing weather-dependent profiles (https://github.com/PyPSA/pypsa-eur/pull/2137).
 
+* Fix: correct definition of `marginal_cost` for those links were `vom` values from technology cost datasets are defined per units of output (e.g., electricity) (https://github.com/PyPSA/pypsa-eur/pull/2154).
+
 * feat: Improve the config validation to cover scenario management (https://github.com/PyPSA/pypsa-eur/pull/2155).
 
 - Added solar rooftop ratio setting to ``add_existing_baseyear`` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
diff --git a/scripts/add_existing_baseyear.py b/scripts/add_existing_baseyear.py
index eae92d1423..2fb58ff6a6 100644
--- a/scripts/add_existing_baseyear.py
+++ b/scripts/add_existing_baseyear.py
@@ -445,7 +445,8 @@ def add_power_capacities_installed_before_baseyear(
                         p_nom=new_capacity / costs.at[key, "efficiency"],
                         capital_cost=costs.at[key, "capital_cost"]
                         * costs.at[key, "efficiency"],
-                        marginal_cost=costs.at[key, "VOM"],
+                        marginal_cost=costs.at[key, "efficiency"]
+                        * costs.at[key, "VOM"],  # NB: VOM is per MWel
                         efficiency=costs.at[key, "efficiency"],
                         build_year=grouping_year,
                         efficiency2=costs.at[key, "efficiency-heat"],
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index d9434ef76e..ad83a9b877 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -1092,7 +1092,8 @@ def add_methanol_to_power(n, costs, pop_layout, types=None):
             carrier="CCGT methanol",
             p_nom_extendable=True,
             capital_cost=capital_cost,
-            marginal_cost=costs.at["CCGT", "VOM"],
+            marginal_cost=costs.at["CCGT", "VOM"]
+            * costs.at["CCGT", "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at["CCGT", "efficiency"],
             efficiency2=costs.at["methanolisation", "carbondioxide-input"],
             lifetime=costs.at["CCGT", "lifetime"],
@@ -1125,7 +1126,8 @@ def add_methanol_to_power(n, costs, pop_layout, types=None):
             carrier="CCGT methanol CC",
             p_nom_extendable=True,
             capital_cost=capital_cost_cc,
-            marginal_cost=costs.at["CCGT", "VOM"],
+            marginal_cost=costs.at["CCGT", "VOM"]
+            * costs.at["CCGT", "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at["CCGT", "efficiency"],
             efficiency2=costs.at["cement capture", "capture_rate"]
             * costs.at["methanolisation", "carbondioxide-input"],
@@ -1866,7 +1868,8 @@ def add_h2_gas_infrastructure(
             efficiency=costs.at["OCGT", "efficiency"],
             capital_cost=costs.at["OCGT", "capital_cost"]
             * costs.at["OCGT", "efficiency"],  # NB: fixed cost is per MWel
-            marginal_cost=costs.at["OCGT", "VOM"],
+            marginal_cost=costs.at["OCGT", "VOM"]
+            * costs.at["OCGT", "efficiency"],  # NB: VOM is per MWel
             lifetime=costs.at["OCGT", "lifetime"],
         )
 
@@ -3477,7 +3480,8 @@ def add_heat(
                     p_nom_extendable=True,
                     capital_cost=costs.at["central gas CHP", "capital_cost"]
                     * costs.at["central gas CHP", "efficiency"],
-                    marginal_cost=costs.at["central gas CHP", "VOM"],
+                    marginal_cost=costs.at["central gas CHP", "VOM"]
+                    * costs.at["central gas CHP", "efficiency"],  # NB: VOM is per MWel
                     efficiency=costs.at["central gas CHP", "efficiency"],
                     efficiency2=costs.at["central gas CHP", "efficiency"]
                     / costs.at["central gas CHP", "c_b"],
@@ -3499,7 +3503,8 @@ def add_heat(
                     * costs.at["central gas CHP", "efficiency"]
                     + costs.at["biomass CHP capture", "capital_cost"]
                     * costs.at[fuel, "CO2 intensity"],
-                    marginal_cost=costs.at["central gas CHP", "VOM"],
+                    marginal_cost=costs.at["central gas CHP", "VOM"]
+                    * costs.at["central gas CHP", "efficiency"],  # NB: VOM is per MWel
                     efficiency=costs.at["central gas CHP", "efficiency"]
                     - costs.at[fuel, "CO2 intensity"]
                     * (
@@ -4050,7 +4055,8 @@ def add_biomass(
             carrier="biogas to gas",
             capital_cost=costs.at["biogas", "capital_cost"]
             + costs.at["biogas upgrading", "capital_cost"],
-            marginal_cost=costs.at["biogas upgrading", "VOM"],
+            marginal_cost=costs.at["biogas", "efficiency"]
+            * costs.at["biogas upgrading", "VOM"],  # NB: VOM is per MWh output
             efficiency=costs.at["biogas", "efficiency"],
             efficiency2=-costs.at["gas", "CO2 intensity"],
             p_nom_extendable=True,
@@ -4074,7 +4080,9 @@ def add_biomass(
             + costs.at["biomass CHP capture", "capital_cost"]
             * costs.at["biogas CC", "CO2 stored"],
             marginal_cost=costs.at["biogas CC", "VOM"]
-            + costs.at["biogas upgrading", "VOM"],
+            * costs.at["biogas CC", "efficiency"]
+            + costs.at["biogas upgrading", "VOM"]
+            * costs.at["biogas", "efficiency"],  # NB: VOM is per MWh output
             efficiency=costs.at["biogas CC", "efficiency"],
             efficiency2=costs.at["biogas CC", "CO2 stored"]
             * costs.at["biogas CC", "capture rate"],
@@ -4231,7 +4239,8 @@ def add_biomass(
             carrier="urban central solid biomass CHP",
             p_nom_extendable=True,
             capital_cost=costs.at[key, "capital_cost"] * costs.at[key, "efficiency"],
-            marginal_cost=costs.at[key, "VOM"],
+            marginal_cost=costs.at[key, "VOM"]
+            * costs.at[key, "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at[key, "efficiency"],
             efficiency2=costs.at[key, "efficiency-heat"],
             lifetime=costs.at[key, "lifetime"],
@@ -4251,7 +4260,8 @@ def add_biomass(
             * costs.at[key + " CC", "efficiency"]
             + costs.at["biomass CHP capture", "capital_cost"]
             * costs.at["solid biomass", "CO2 intensity"],
-            marginal_cost=costs.at[key + " CC", "VOM"],
+            marginal_cost=costs.at[key + " CC", "efficiency"]
+            * costs.at[key + " CC", "VOM"],  # NB: VOM is per MWel
             efficiency=costs.at[key + " CC", "efficiency"]
             - costs.at["solid biomass", "CO2 intensity"]
             * (

From 25f47d4ed950d0d51c5ab1ef03a8e31981602946 Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Wed, 13 May 2026 09:57:55 +0100
Subject: [PATCH 057/105] Update pixi to use relative exclude-newer (#2163)

- Requires pixi >=v0.67
---
 .github/workflows/release.yaml         | 2 +-
 .github/workflows/test.yaml            | 4 ++--
 .github/workflows/update-lockfile.yaml | 9 ++-------
 pixi.toml                              | 1 +
 4 files changed, 6 insertions(+), 10 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 2aad02ea3f..56c68559a5 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -65,7 +65,7 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.9.5
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         # Do not cache in branches
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 5dadca287e..6678939898 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -32,7 +32,7 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.9.5
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
 
@@ -89,7 +89,7 @@ jobs:
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       uses: prefix-dev/setup-pixi@v0.9.5
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
 
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index ef161cab93..29029378bf 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -18,18 +18,13 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.9.5
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
 
-    - name: Full resolve (exclude packages newer than 7 days)
-      # Exclude recently published packages to avoid pulling in broken or
-      # yanked releases before upstream has had time to react
+    - name: Full resolve
       run: |
-        EXCLUDE_DATE=$(date -u -d '7 days ago' +%Y-%m-%dT00:00:00Z)
-        sed -i "/^\[workspace\]/a exclude-newer = \"$EXCLUDE_DATE\"" pixi.toml
         rm pixi.lock
         pixi install --all
         git checkout pixi.toml
-        sed -i '/^\s*exclude-newer:/d' pixi.lock
 
     - name: Export conda environment files
       if: ${{ !vars.PYPSA_BOT_ID }}
diff --git a/pixi.toml b/pixi.toml
index 0b67610ed6..7c3d6e476f 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -8,6 +8,7 @@ channels = ["conda-forge", "bioconda", "gurobi"]
 name = "pypsa-eur"
 platforms = ["win-64", "linux-64", "osx-64", "osx-arm64"]
 version = "2025.07.0"
+exclude-newer = "7d"
 
 [tasks]
 

From 666fdf178a55a92cd8e1f277eb8113ddd599971c Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Fri, 15 May 2026 17:55:08 +0200
Subject: [PATCH 058/105] fix: URL for SCIGRID gas 1.1.2. archive on
 data.pypsa.org (#2165)

* Fix URL for SCIGRID gas 1.1.2. archive on data.pypsa.org

* Fix synthetic_electricity_demand URL
---
 data/versions.csv | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/data/versions.csv b/data/versions.csv
index 4cf11f88cf..c08fa55057 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -139,7 +139,7 @@ powerplants,0.7.1,archive,supported,2026-01-20,Part of the `powerplantmatching`
 powerplants,0.7.0,primary,supported,2025-12-02,Part of the `powerplantmatching` package and versioned on GitHub.,https://raw.githubusercontent.com/PyPSA/powerplantmatching/refs/tags/v0.7.0/powerplants.csv
 powerplants,0.7.0,archive,supported,2026-01-20,Part of the `powerplantmatching` package and versioned on GitHub.,https://data.pypsa.org/workflows/eur/powerplants/0.7.0
 scigrid_gas,1.1.2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/4767098/files/IGGIELGN.zip
-scigrid_gas,1.1.2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.2
+scigrid_gas,1.1.2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.2/IGGIELGN.zip
 scigrid_gas,1.1.1,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.1/IGGIELGN.zip
 scigrid_gas,1.1.0,archive,deprecated not-supported,2026-01-13,,https://data.pypsa.org/workflows/eur/scigrid_gas/1.1.0/IGGIELGN.zip
 seawater_temperature,v1.0,primary,latest supported,2026-01-21,Test cutout seawater temperature,https://zenodo.org/records/15828866/files/seawater_temperature.nc
@@ -149,7 +149,7 @@ ship_raster,v5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workf
 swiss_energy_balances,2025-10-01,primary,latest supported,2026-02-12,,https://pubdb.bfe.admin.ch/de/publication/download/12361
 swiss_energy_balances,2025-10-01,archive,latest supported,2026-02-16,,https://web.archive.org/web/20260216/https%3A//pubdb.bfe.admin.ch/de/publication/download/12361
 synthetic_electricity_demand,v2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/10820928/files/demand_hourly.csv
-synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2
+synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2/demand_hourly.csv
 synthetic_electricity_demand,0.1.0,archive,deprecated might-work,2026-01-13,,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/0.1.0/demand_hourly.csv
 tyndp,2024,primary,latest supported,2025-12-02,,https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs
 tyndp,2024,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/tyndp/2024

From dda284e36078f7a34e776fbac0a5a08de7528bd4 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 18 May 2026 11:50:19 +0200
Subject: [PATCH 059/105] [github-actions.ci] Update locked envs (#2167)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |   291 +-
 envs/default_osx-64.pin.txt    |   135 +-
 envs/default_osx-arm64.pin.txt |   135 +-
 envs/default_win-64.pin.txt    |   152 +-
 pixi.lock                      | 55432 +++++++++++++++----------------
 5 files changed, 27811 insertions(+), 28334 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index aa98d87f69..0457c122ec 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -3,55 +3,56 @@
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
-https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 14532f7c38..4c0ce66afe 100644
--- a/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 3c674001a3..476a960a5f 100644
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 3e428003a2..640d035aae 100644
--- a/envs/default_win-64.pin.txt
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diff --git a/pixi.lock b/pixi.lock
index c0ab21795f..04f2a1a2b9 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1,43 +1,42 @@
-version: 6
+version: 7
+platforms:
+- name: linux-64
+- name: osx-64
+- name: osx-arm64
+- name: win-64
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   default:
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     - url: https://conda.anaconda.org/bioconda/
     - url: https://conda.anaconda.org/gurobi/
-    options:
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+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.6.1-pyhdfd78af_0.conda
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+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.20.0-pyhdfd78af_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.11.3-h06ab39a_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.8.6-h4e5ac4b_5.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py313hd650c13_0.conda
+  sha256: 35f7e545786adcfc8e202ade617eeeece47d0df7b6221377361d7acee554e3ca
+  md5: beb407255f9c46aedfb3712a7a5c8554
   depends:
-  - __osx >=11.0
-  - libcxx >=19
-  - krb5 >=1.22.2,<1.23.0a0
-  - libsodium >=1.0.21,<1.0.22.0a0
-  license: MPL-2.0
-  license_family: MOZILLA
-  size: 245246
-  timestamp: 1772476886668
+  - idna >=2.0
+  - multidict >=4.0
+  - propcache >=0.2.1
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  size: 145238
+  timestamp: 1772409478751
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
   sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
   md5: 1ab0237036bfb14e923d6107473b0021
@@ -32610,55 +32250,6 @@ packages:
   license_family: MOZILLA
   size: 265665
   timestamp: 1772476832995
-- conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
-  sha256: 5488542dceeb9f2874e726646548ecc5608060934d6f9ceaa7c6a48c61f9cc8d
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-  timestamp: 1733261642963
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.1-pyhcf101f3_0.conda
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-  - python
-  license: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
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-  license_family: Other
-  size: 95931
-  timestamp: 1774072620848
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.2-hbb4bfdb_2.conda
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-  md5: 6276aa61ffc361cbf130d78cfb88a237
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-  - libzlib 1.3.2 hbb4bfdb_2
-  license: Zlib
-  license_family: Other
-  size: 92411
-  timestamp: 1774073075482
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.2-h8088a28_2.conda
-  sha256: 8dd2ac25f0ba714263aac5832d46985648f4bfb9b305b5021d702079badc08d2
-  md5: f1c0bce276210bed45a04949cfe8dc20
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-  - libzlib 1.3.2 h8088a28_2
-  license: Zlib
-  license_family: Other
-  size: 81123
-  timestamp: 1774072974535
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
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   md5: 5187ecf958be3c39110fe691cbd6873e
@@ -32671,37 +32262,6 @@ packages:
   license_family: Other
   size: 850351
   timestamp: 1774072891049
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
-  sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
-  md5: 2aadb0d17215603a82a2a6b0afd9a4cb
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-  - libgcc >=14
-  - libstdcxx >=14
-  license: Zlib
-  license_family: Other
-  size: 122618
-  timestamp: 1770167931827
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-ng-2.3.3-h8bce59a_1.conda
-  sha256: 4a1beb656761c7d8c9a53474bfd3932c30d82af5d93a32b8ef626c01c059d981
-  md5: b3ecb6480fd46194e3f7dd0ff4445dff
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-  - __osx >=10.13
-  - libcxx >=19
-  license: Zlib
-  license_family: Other
-  size: 120464
-  timestamp: 1770168263684
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-ng-2.3.3-hed4e4f5_1.conda
-  sha256: a339606a6b224bb230ff3d711e801934f3b3844271df9720165e0353716580d4
-  md5: d99c2a23a31b0172e90f456f580b695e
-  depends:
-  - __osx >=11.0
-  - libcxx >=19
-  license: Zlib
-  license_family: Other
-  size: 94375
-  timestamp: 1770168363685
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.3-h0261ad2_1.conda
   sha256: 71332532332d13b5dbe57074ddcf82ae711bdc132affa5a2982a29ffa06dc234
   md5: 46a21c0a4e65f1a135251fc7c8663f83
@@ -32713,94 +32273,6 @@ packages:
   license_family: Other
   size: 124542
   timestamp: 1770167984883
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py312h5253ce2_1.conda
-  sha256: c2bcb8aa930d6ea3c9c7a64fc4fab58ad7bcac483a9a45de294f67d2f447f413
-  md5: 02738ff9855946075cbd1b5274399a41
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - libgcc >=14
-  - __glibc >=2.17,<3.0.a0
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 467133
-  timestamp: 1762512686069
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_1.conda
-  sha256: e6921de3669e1bbd5d050a3b771b46a887e7f4ffeb1ddd5e4d9fb01062a2f6e9
-  md5: 710d4663806d0f72b2fb414e936223b5
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - libgcc >=14
-  - __glibc >=2.17,<3.0.a0
-  - python_abi 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 471496
-  timestamp: 1762512679097
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py312h01f6755_1.conda
-  sha256: 5360439241921c612a5df77e28ce0ae4912eef7de65dc42adba5499878a67e87
-  md5: d9209ec6445f95fba0c3c64fa4a46216
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - python_abi 3.12.* *_cp312
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 462661
-  timestamp: 1762512711429
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py313hcb05632_1.conda
-  sha256: eed36460cfd4afdcb5e3dbca1f493dd9251e90ad793680064efdeb72d95f16a0
-  md5: da657125cfc67fe18e4499cf88dbe512
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - python_abi 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 468984
-  timestamp: 1762512716065
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_1.conda
-  sha256: af843b0fe62d128a70f91dc954b2cb692f349a237b461788bd25dd928d0d1ef8
-  md5: 9300889791d4decceea3728ad3b423ec
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - python 3.12.* *_cpython
-  - __osx >=11.0
-  - python_abi 3.12.* *_cp312
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 390920
-  timestamp: 1762512713481
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py313h9734d34_1.conda
-  sha256: c8525ae1a739db3c9b4f901d08fd7811402cf46b61ddf5d63419a3c533e02071
-  md5: 7ac13a947d4d9f57859993c06faf887b
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=11.0
-  - python 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.13.* *_cp313
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 396449
-  timestamp: 1762512722894
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_1.conda
   sha256: 5f751687a64cf5a6d69ad79aa437f45d6cc388d9e887dcdecff9d3b08cf7fd87
   md5: 46f6f9bb324a58a9b081bbc56ade37f2
@@ -32820,36 +32292,6 @@ packages:
   license_family: BSD
   size: 380854
   timestamp: 1762512720226
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
-  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
-  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 601375
-  timestamp: 1764777111296
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda
-  sha256: 47101a4055a70a4876ffc87b750ab2287b67eca793f21c8224be5e1ee6394d3f
-  md5: 727109b184d680772e3122f40136d5ca
-  depends:
-  - __osx >=10.13
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 528148
-  timestamp: 1764777156963
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
-  sha256: 9485ba49e8f47d2b597dd399e88f4802e100851b27c21d7525625b0b4025a5d9
-  md5: ab136e4c34e97f34fb621d2592a393d8
-  depends:
-  - __osx >=11.0
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 433413
-  timestamp: 1764777166076
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
   sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
   md5: 053b84beec00b71ea8ff7a4f84b55207
@@ -32862,3 +32304,39 @@ packages:
   license_family: BSD
   size: 388453
   timestamp: 1764777142545
+- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py312_0.conda
+  sha256: 77be05ce932373efe674d0bb31690d4a03d15d19f7880218bfe9d1030e6da486
+  md5: 732df74126bc3cc24b6564899df74f23
+  depends:
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  license: PROPRIETARY
+  size: 48125269
+  timestamp: 1777597181837
+- conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py313_0.conda
+  sha256: b3b378465c090ed666576da4de3dc02cdb66c1bb8ecd3f17bdfd92ef39bcb2b9
+  md5: 648a03b9ed4568deaf050b65cb8f2d49
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 48565775
+  timestamp: 1777593698732
+- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py313_0.conda
+  sha256: fe40517985fabae359f5c227b97fe2d1433d24828a116fb96dc6017478087356
+  md5: 4d70454a9fbc7e6859e998dc40271fde
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 44303765
+  timestamp: 1777595570777
+- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py313_0.conda
+  sha256: 44b3e914f351e1778a64ced7ec8efbd9ef85474f6393d3cfe14a19df37c7f3b8
+  md5: c3c73feb63dc1411a37f5e4a7e3daab3
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 44171021
+  timestamp: 1777594088427

From fa6699b926f8575012c5f8a838d8a91a9d75bd9c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mat=C4=9Bj?= <mgrabovsky@users.noreply.github.com>
Date: Tue, 19 May 2026 16:43:44 +0200
Subject: [PATCH 060/105] chore: fix formatting in docstring (#2172)

---
 scripts/build_gas_network.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/scripts/build_gas_network.py b/scripts/build_gas_network.py
index 285d987f09..ebb01a5d21 100644
--- a/scripts/build_gas_network.py
+++ b/scripts/build_gas_network.py
@@ -23,10 +23,10 @@ def diameter_to_capacity(pipe_diameter_mm):
     """
     Calculate pipe capacity in MW based on diameter in mm.
 
-    20 inch (500 mm)  50 bar -> 1.5   GW CH4 pipe capacity (LHV) 24 inch
-    (600 mm)  50 bar -> 5     GW CH4 pipe capacity (LHV) 36 inch (900
-    mm)  50 bar -> 11.25 GW CH4 pipe capacity (LHV) 48 inch (1200 mm) 80
-    bar -> 21.7  GW CH4 pipe capacity (LHV)
+    20 inch (500 mm)  50 bar -> 1.5   GW CH4 pipe capacity (LHV)
+    24 inch (600 mm)  50 bar -> 5     GW CH4 pipe capacity (LHV)
+    36 inch (900 mm)  50 bar -> 11.25 GW CH4 pipe capacity (LHV)
+    48 inch (1200 mm) 80 bar -> 21.7  GW CH4 pipe capacity (LHV)
 
     Based on p.15 of
     https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf

From 0a56f95dc0f456adc0115d448b596606cca16005 Mon Sep 17 00:00:00 2001
From: Michael Lindner <michaellindner@posteo.de>
Date: Wed, 20 May 2026 15:52:08 +0200
Subject: [PATCH 061/105] Fix: activate missing losses for "H2 pipeline
 retrofitted" links (#2174)

* losses for retrotfitted H2 pipelines

* add release note

* update sector.py
---
 config/config.default.yaml              |  4 ++++
 config/schema.default.json              | 21 +++++++++++++++++++++
 doc/release_notes.rst                   |  2 ++
 scripts/lib/validation/config/sector.py |  9 +++++++++
 4 files changed, 36 insertions(+)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index 84e881d96f..cd940e1a55 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -909,6 +909,7 @@ sector:
     enable:
     - DC
     - H2 pipeline
+    - H2 pipeline retrofitted
     - gas pipeline
     - electricity distribution grid
     DC:
@@ -917,6 +918,9 @@ sector:
     H2 pipeline:
       efficiency_per_1000km: 1
       compression_per_1000km: 0.018
+    H2 pipeline retrofitted:
+      efficiency_per_1000km: 1
+      compression_per_1000km: 0.018
     gas pipeline:
       efficiency_per_1000km: 1
       compression_per_1000km: 0.01
diff --git a/config/schema.default.json b/config/schema.default.json
index 91152b3c96..91d4502533 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -4878,6 +4878,13 @@
               "description": "H2 pipeline transmission efficiency.",
               "type": "object"
             },
+            "H2 pipeline retrofitted": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline retrofitted transmission efficiency.",
+              "type": "object"
+            },
             "gas pipeline": {
               "additionalProperties": {
                 "type": "number"
@@ -8095,6 +8102,13 @@
           "description": "H2 pipeline transmission efficiency.",
           "type": "object"
         },
+        "H2 pipeline retrofitted": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "H2 pipeline retrofitted transmission efficiency.",
+          "type": "object"
+        },
         "gas pipeline": {
           "additionalProperties": {
             "type": "number"
@@ -11327,6 +11341,13 @@
               "description": "H2 pipeline transmission efficiency.",
               "type": "object"
             },
+            "H2 pipeline retrofitted": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline retrofitted transmission efficiency.",
+              "type": "object"
+            },
             "gas pipeline": {
               "additionalProperties": {
                 "type": "number"
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 4bc3f28e86..d2238ba5b2 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,6 +8,8 @@ Release Notes
 
 .. Upcoming Release
 .. =================
+* Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
+
 * Fix: Re-introduce capital costs for non-bicharging discharge links in ``add_electricity.py``, e.g. fuel cells.
 
 * The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases (https://github.com/PyPSA/pypsa-eur/pull/2130).
diff --git a/scripts/lib/validation/config/sector.py b/scripts/lib/validation/config/sector.py
index 5801f7fcbe..0ff3f482d5 100644
--- a/scripts/lib/validation/config/sector.py
+++ b/scripts/lib/validation/config/sector.py
@@ -231,6 +231,7 @@ class _TransmissionEfficiencyConfig(BaseModel):
         default_factory=lambda: [
             "DC",
             "H2 pipeline",
+            "H2 pipeline retrofitted",
             "gas pipeline",
             "electricity distribution grid",
         ],
@@ -251,6 +252,14 @@ class _TransmissionEfficiencyConfig(BaseModel):
         alias="H2 pipeline",
         description="H2 pipeline transmission efficiency.",
     )
+    H2_pipeline_retrofitted: dict[str, float] = Field(
+        default_factory=lambda: {
+            "efficiency_per_1000km": 1,
+            "compression_per_1000km": 0.018,
+        },
+        alias="H2 pipeline retrofitted",
+        description="H2 pipeline retrofitted transmission efficiency.",
+    )
     gas_pipeline: dict[str, float] = Field(
         default_factory=lambda: {
             "efficiency_per_1000km": 1,

From 98dbdc35d3cecfd1908d976b9fd8a5c0bcf113a5 Mon Sep 17 00:00:00 2001
From: Johannes HAMPP <42553970+euronion@users.noreply.github.com>
Date: Thu, 21 May 2026 11:00:18 +0200
Subject: [PATCH 062/105] Agents/fix availability matrix plotting (#2173)

* fix: availability matrix plot config and optional PNG output

- Read plot flag from correct param (`snakemake.params.plot_availability_matrix`)
- Remove hardcoded default; use `config.default.yaml` value
- Expose PNG as optional named output via `branch()`
- Reference outputs by name (`nc`, `plot`)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: align determine_availability_matrix_MD_UA with plot changes

- Add optional PNG output via `branch()` and `plot_availability_matrix` param
- Add plotting logic matching the main script
- Rename output key from `availability_matrix` to `nc`

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* doc: Update release notes

* config: Set default for plotting availability_matrix to true

* doc: Update release notes

* doc: Fix PR number in release notes

* config: Default to False for plotting of availability matrix

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---
 config/schema.default.json                     |  4 ++--
 doc/release_notes.rst                          |  3 +++
 rules/build_electricity.smk                    | 13 ++++++++++---
 scripts/determine_availability_matrix.py       |  6 +++---
 scripts/determine_availability_matrix_MD_UA.py | 17 ++++++++++++++++-
 scripts/lib/validation/config/atlite.py        |  2 +-
 6 files changed, 35 insertions(+), 10 deletions(-)

diff --git a/config/schema.default.json b/config/schema.default.json
index 91d4502533..bed19a77ee 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -186,7 +186,7 @@
         },
         "plot_availability_matrix": {
           "default": false,
-          "description": "Whether to plot the landuse availability matrix.",
+          "description": "Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
           "type": "boolean"
         },
         "cutouts": {
@@ -8817,7 +8817,7 @@
         },
         "plot_availability_matrix": {
           "default": false,
-          "description": "Whether to plot the landuse availability matrix.",
+          "description": "Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
           "type": "boolean"
         },
         "cutouts": {
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index d2238ba5b2..d2b877bc60 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -8,6 +8,9 @@ Release Notes
 
 .. Upcoming Release
 .. =================
+
+* Fix: ``atlite.plot_availability_matrix`` config option for :mod:`determine_availability_matrix` and :mod:`determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently (https://github.com/PyPSA/pypsa-eur/pull/2173).
+
 * Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
 
 * Fix: Re-introduce capital costs for non-bicharging discharge links in ``add_electricity.py``, e.g. fuel cells.
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index bb6c4d270b..15583d6785 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -263,8 +263,10 @@ rule determine_availability_matrix_MD_UA:
             w, config_provider("renewable", w.technology, "cutout")(w)
         ),
     output:
-        availability_matrix=resources(
-            "availability_matrix_MD-UA_{clusters}_{technology}.nc"
+        nc=resources("availability_matrix_MD-UA_{clusters}_{technology}.nc"),
+        plot=branch(
+            config["atlite"]["plot_availability_matrix"],
+            then=resources("availability_matrix_MD-UA_{clusters}_{technology}.png"),
         ),
     log:
         logs("determine_availability_matrix_MD_UA_{clusters}_{technology}.log"),
@@ -275,6 +277,7 @@ rule determine_availability_matrix_MD_UA:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
     params:
         renewable=config_provider("renewable"),
+        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
     message:
         "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
@@ -333,7 +336,11 @@ rule determine_availability_matrix:
             w, config_provider("renewable", w.technology, "cutout")(w)
         ),
     output:
-        resources("availability_matrix_{clusters}_{technology}.nc"),
+        nc=resources("availability_matrix_{clusters}_{technology}.nc"),
+        plot=branch(
+            config["atlite"]["plot_availability_matrix"],
+            then=resources("availability_matrix_{clusters}_{technology}.png"),
+        ),
     log:
         logs("determine_availability_matrix_{clusters}_{technology}.log"),
     benchmark:
diff --git a/scripts/determine_availability_matrix.py b/scripts/determine_availability_matrix.py
index ea1e249fe6..10f3dfc0a8 100644
--- a/scripts/determine_availability_matrix.py
+++ b/scripts/determine_availability_matrix.py
@@ -169,7 +169,7 @@
         f"Completed landuse availability calculation for {technology} ({duration:2.2f}s)"
     )
 
-    if params.get("plot_availability_matrix", False):
+    if snakemake.params.plot_availability_matrix:
         logger.info(f"Plotting landuse availability matrix for {technology}.")
         band, transform = shape_availability(
             regions.geometry.to_crs(excluder.crs), excluder
@@ -177,7 +177,7 @@
         fig, ax = plt.subplots(figsize=(10, 10))
         regions.to_crs(excluder.crs).plot(ax=ax, color="none")
         show(band, transform=transform, cmap="Greens", ax=ax)
-        plt.savefig(snakemake.output[0].replace(".nc", ".png"), dpi=300)
+        plt.savefig(snakemake.output["plot"], dpi=300)
 
     # For Moldova and Ukraine: Overwrite parts not covered by Corine with
     # externally determined available areas
@@ -187,4 +187,4 @@
         )
         availability.loc[availability_MDUA.coords] = availability_MDUA
 
-    availability.to_netcdf(snakemake.output[0])
+    availability.to_netcdf(snakemake.output["nc"])
diff --git a/scripts/determine_availability_matrix_MD_UA.py b/scripts/determine_availability_matrix_MD_UA.py
index 27a091db60..0352c3d27b 100644
--- a/scripts/determine_availability_matrix_MD_UA.py
+++ b/scripts/determine_availability_matrix_MD_UA.py
@@ -14,7 +14,10 @@
 import atlite
 import fiona
 import geopandas as gpd
+import matplotlib.pyplot as plt
 import numpy as np
+from atlite.gis import shape_availability
+from rasterio.plot import show
 
 from scripts._helpers import configure_logging, load_cutout, set_scenario_config
 
@@ -168,5 +171,17 @@ def get_wdpa_layer_name(wdpa_fn, layer_substring):
 
     availability = availability.sel(bus=buses)
 
+    if snakemake.params.plot_availability_matrix:
+        logger.info(
+            f"Plotting landuse availability matrix for {snakemake.wildcards.technology}."
+        )
+        band, transform = shape_availability(
+            regions.geometry.to_crs(excluder.crs), excluder
+        )
+        fig, ax = plt.subplots(figsize=(10, 10))
+        regions.to_crs(excluder.crs).plot(ax=ax, color="none")
+        show(band, transform=transform, cmap="Greens", ax=ax)
+        plt.savefig(snakemake.output["plot"], dpi=300)
+
     # Save and plot for verification
-    availability.to_netcdf(snakemake.output.availability_matrix)
+    availability.to_netcdf(snakemake.output["nc"])
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
index 0ced91c916..811d5b8291 100644
--- a/scripts/lib/validation/config/atlite.py
+++ b/scripts/lib/validation/config/atlite.py
@@ -123,7 +123,7 @@ class AtliteConfig(BaseModel):
     )
     plot_availability_matrix: bool = Field(
         False,
-        description="Whether to plot the landuse availability matrix.",
+        description="Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
     )
     cutouts: dict[str, _CutoutConfig] = Field(
         default_factory=lambda: {

From 76432998728da07068529f3f51971f11b483179c Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 21 May 2026 16:30:48 +0000
Subject: [PATCH 063/105] [github-actions.ci] Update locked envs (#2176)

* Update locked environment files for all platforms

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: lkstrp <62255395+lkstrp@users.noreply.github.com>
Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |   93 +-
 envs/default_osx-64.pin.txt    |   93 +-
 envs/default_osx-arm64.pin.txt |   93 +-
 envs/default_win-64.pin.txt    |   98 +-
 pixi.lock                      | 2601 ++++++++++++++++----------------
 5 files changed, 1518 insertions(+), 1460 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 0457c122ec..00331214e6 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -29,11 +29,11 @@ https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3ef
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_19.conda#5794b3bdc38177caf969dabd3af08549
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_19.conda#85072b0ad177c966294f129b7c04a2d5
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_19.conda#42bf7eca1a951735fa06c0e3c0d5c8e6
-https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.32-pthreads_h94d23a6_0.conda#89d61bc91d3f39fda0ca10fcd3c68594
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-6_h4a7cf45_openblas.conda#6d6d225559bfa6e2f3c90ee9c03d4e2e
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda#881d801569b201c2e753f03c84b85e15
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda#36ae340a916635b97ac8a0655ace2a35
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.3-py312h33ff503_0.conda#5930ee8a175a242b4f001b1e9e72024f
+https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.33-pthreads_h94d23a6_0.conda#2d3278b721e40468295ca755c3b84070
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-7_h4a7cf45_openblas.conda#955b44e8b00b7f7ef4ce0130cef12394
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-7_h47877c9_openblas.conda#6569b4f273740e25dc0dc7e3232c2a6c
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-7_h0358290_openblas.conda#0675639dc24cb0032f199e7ff68e4633
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.4-py312h33ff503_0.conda#98f04b59a222970c45c78208aeac8df8
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_0.conda#3e38daeb1fb05a95656ff5af089d2e4c
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda#8e194e7b992f99a5015edbd4ebd38efd
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
@@ -67,12 +67,12 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda#0a802cb9888dd14eeefc611f05c40b6e
 https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda#164fc43f0b53b6e3a7bc7dce5e4f1dc9
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda#64088dffd7413a2dd557ce837b4cbbdb
-https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.4.0-py312h90b7ffd_0.conda#542da724e75cdeef19e29cca23935c25
+https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py312h90b7ffd_0.conda#b31dba71fe091e7201826e57e0f7b261
 https://conda.anaconda.org/conda-forge/noarch/urllib3-2.7.0-pyhd8ed1ab_0.conda#cbb88288f74dbe6ada1c6c7d0a97223e
 https://conda.anaconda.org/conda-forge/noarch/idna-3.13-pyhcf101f3_0.conda#fb7130c190f9b4ec91219840a05ba3ac
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.7-pyhd8ed1ab_0.conda#a9167b9571f3baa9d448faa2139d1089
 https://conda.anaconda.org/conda-forge/noarch/certifi-2026.4.22-pyhd8ed1ab_0.conda#929471569c93acefb30282a22060dcd5
-https://conda.anaconda.org/conda-forge/noarch/requests-2.33.1-pyhcf101f3_1.conda#9659f587a8ceacc21864260acd02fc67
+https://conda.anaconda.org/conda-forge/noarch/requests-2.34.1-pyhcf101f3_0.conda#18a1731937516054803c047e1b39dc04
 https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda#b27a9f4eca2925036e43542488d3a804
 https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda#ab9e1a0591be902a1707159b58460453
 https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda#42834439227a4551b939beeeb8a4b085
@@ -105,16 +105,16 @@ https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda#e6fd8cfb23b294da699e395dbc968d11
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda#dd3d76adc511d9ce9820c33a09bf5705
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda#0d8bbf1699b16ac225031ae0c73729f8
-https://conda.anaconda.org/conda-forge/noarch/smart_open-7.6.0-pyhcf101f3_0.conda#458a05a84fe73bf082c0cf7d8a716c69
+https://conda.anaconda.org/conda-forge/noarch/smart_open-7.6.1-pyhcf101f3_0.conda#8e4971d25d53f168dfb64d6f5ee1316d
 https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.30.0-py312h868fb18_0.conda#3ffc5a3572db8751c2f15bacf6a0e937
 https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda#c6b0543676ecb1fb2d7643941fe375f2
 https://conda.anaconda.org/conda-forge/noarch/referencing-0.37.0-pyhcf101f3_0.conda#870293df500ca7e18bedefa5838a22ab
-https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-6_h6ae95b6_openblas.conda#af6df8ece92110c951032683af64f1fa
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_0.conda#896d0e11072a71cb301721ba08cdae87
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.12-hf4fecb4_0.conda#a7bfc4542f5a1fa6f6918505cd85c24b
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.11-hc03379b_0.conda#277ac9d140dd78f37886fde732e2f968
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.10-hc46dffc_0.conda#eebf9946f2de6e0dec0b2fc5d7f69310
-https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_0.conda#7f0ce038db78c82188c55fbb918f50e1
+https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-7_h6ae95b6_openblas.conda#3ea7363d1092c8a9ba339ebf4e24d29c
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_1.conda#4020946ef1fad683935a408ab7127582
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.12-hf4fecb4_1.conda#02578ed9fe1a1923d66effeb932e71ce
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.11-hc03379b_1.conda#e79a3a170436d665098f0a40f7cd655b
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.10-hc46dffc_1.conda#0990c6102633709868d18151e850072a
+https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_1.conda#5f68e67b2b9463501260e731e2999dec
 https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda#3687cc0b82a8b4c17e1f0eb7e47163d5
 https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda#d6bd3cd217e62bbd7efe67ff224cd667
 https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda#5a81866192811f3a0827f5f93e589f02
@@ -134,7 +134,7 @@ https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda#7c
 https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.50-pyhd8ed1ab_0.conda#98958318a01373a615f119b1040b3027
 https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2#e270fff08907db8691c02a0eda8d38ae
 https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda#e52c2a160d6bd0649c9fafdf0c813357
-https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.20.0-pyhdfd78af_0.conda#8fec66fdc146656a4f2f830732856b51
+https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.21.0-pyhdfd78af_0.conda#6b202a8f13eb6fe0e680b0b68535a008
 https://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.4-pyhd8ed1ab_2.conda#83ea3a2ddb7a75c1b09cea582aa4f106
 https://conda.anaconda.org/conda-forge/noarch/pygments-2.20.0-pyhd8ed1ab_0.conda#16c18772b340887160c79a6acc022db0
 https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
@@ -143,10 +143,10 @@ https://conda.anaconda.org/conda-forge/noarch/rich-15.0.0-pyhcf101f3_0.conda#024
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
 https://conda.anaconda.org/conda-forge/noarch/annotated-doc-0.0.4-pyhcf101f3_0.conda#52be5139047efadaeeb19c6a5103f92a
 https://conda.anaconda.org/conda-forge/noarch/typer-0.23.1-pyhcf101f3_0.conda#bac7249fa4302ee17e1ae0aa17991732
-https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.6.0-pyhd8ed1ab_0.conda#9a704e945e87078f464726c69071677a
+https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.6.1-pyhd8ed1ab_0.conda#ad6821df7a98510117db06e9a833281f
 https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-2.0.0-pyhcf101f3_0.conda#4fdd327852ffefc83173a7c029690d0c
 https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.1.0-pyhcf101f3_0.conda#1005e1f39083adad2384772e8e384e43
-https://conda.anaconda.org/conda-forge/noarch/textual-8.2.5-pyhcf101f3_0.conda#ab380da68231be1e9b10519f63a4e77e
+https://conda.anaconda.org/conda-forge/noarch/textual-8.2.6-pyhcf101f3_0.conda#4a3213be5c1b4bf8f74776da7dee7654
 https://conda.anaconda.org/conda-forge/noarch/loguru-0.7.3-pyh707e725_0.conda#49647ac1de4d1e4b49124aedf3934e02
 https://conda.anaconda.org/conda-forge/noarch/python-yakh-0.4.1-pyhff2d567_0.conda#7d2e90221b5da6f0577d150cfe6b87ed
 https://conda.anaconda.org/conda-forge/noarch/questo-0.4.2-pyhcf101f3_0.conda#d408fa8ff9f17887378715dcf024d359
@@ -209,7 +209,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.2.0-hb03c661_1.co
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.2.0-hb03c661_1.conda#366b40a69f0ad6072561c1d09301c886
 https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.11.2-h174a0a3_1.conda#850f48943d6b4589800a303f0de6a816
 https://conda.anaconda.org/conda-forge/linux-64/lzo-2.10-h280c20c_1002.conda#45161d96307e3a447cc3eb5896cf6f8c
-https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.8.7-gpl_hc2c16d8_100.conda#dbeb5c8321cb2408d406a3da16a0ff0d
+https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.8.7-gpl_hc2c16d8_101.conda#bb1483d91797dae0b466cab86ceb59a7
 https://conda.anaconda.org/conda-forge/linux-64/json-c-0.18-h6688a6e_0.conda#38f5dbc9ac808e31c00650f7be1db93f
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 4c0ce66afe..96016b49db 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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@@ -535,11 +534,11 @@ https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#7
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 476a960a5f..204af1d857 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
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@@ -203,7 +203,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.2.0-hc919400_1.c
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 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.5-pyhd8ed1ab_0.conda#9551a9487cebe36c28e1dc92088a7a5e
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.7-pyhd8ed1ab_0.conda#0bfbc55eef3725a11afa89f0e8524b5f
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.17.0-pyhd8ed1ab_0.conda#6f92735891911568fd92b40e0bb2d04e
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.5-pyhd8ed1ab_0.conda#93e5bea42a33f6d7209ce028c45be6a1
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.7-pyhd8ed1ab_0.conda#81ab165a3ee2ae465aa562555448e1d9
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
-https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.0-pyhd8ed1ab_0.conda#f3efd2c6f8413562154e820f17d8d22b
+https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c138c7aaa6a10b5762dcd92247864aff
 https://conda.anaconda.org/conda-forge/osx-arm64/cartopy-0.25.0-py313h7d16b84_1.conda#65859d540753d1a0acb05029eb6cf492
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 640d035aae..6ec0a54880 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -2,9 +2,9 @@
 # platform: win-64
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda#71b24316859acd00bdb8b38f5e2ce328
-https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_34.conda#242d9f25d2ae60c76b38a5e42858e51d
-https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_34.conda#37eb311485d2d8b2c419449582046a42
-https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda#1e610f2416b6acdd231c5f573d754a0f
+https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_36.conda#4aa1884260877bd57d16070d20271e2d
+https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_36.conda#65f5c81f2796961fcfd808eee8e73596
+https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_36.conda#3466ff4a8753003eeb173f508d3d5a49
 https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda#8f83619ab1588b98dd99c90b0bfc5c6d
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 https://conda.anaconda.org/conda-forge/win-64/liblzma-devel-5.8.3-hfd05255_0.conda#7845201435d0c7c0a02269c2742da1cc
@@ -24,10 +24,11 @@ https://conda.anaconda.org/conda-forge/win-64/python-3.13.0-hf5aa216_101_cp313.c
 https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyha7b4d00_0.conda#af77160f8428924c17db94e04aa69409
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-https://conda.anaconda.org/conda-forge/win-64/libblas-3.11.0-7_h6c93730_netlib.conda#b6e60216c858abd007ecb07a61d34893
-https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-7_h018ca30_netlib.conda#2e2b680a6d0b0b58b94b4ffdf8a76b5b
-https://conda.anaconda.org/conda-forge/win-64/libcblas-3.11.0-7_hc41557d_netlib.conda#a3201147bbcbbed12d51bacad285e8c4
-https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.3-py313ha8dc839_0.conda#764b3adfdb549bbbf58a9419f237ac25
+https://conda.anaconda.org/conda-forge/win-64/libopenblas-0.3.33-pthreads_h877e47f_0.conda#51d4c0bc3695f63375d095004dc2597c
+https://conda.anaconda.org/conda-forge/win-64/libblas-3.11.0-7_h0adab6e_openblas.conda#650282933dd61eaac7ba7dab125be2d2
+https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-7_hd232482_openblas.conda#b8c50b5c86e823b809cd54a7baf1f024
+https://conda.anaconda.org/conda-forge/win-64/libcblas-3.11.0-7_h2a8eebe_openblas.conda#9ff75ed6e8ff7920cf0cc0e6324a5a8e
+https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.4-py313ha8dc839_0.conda#23606414924760921006cee2c6a856ff
 https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.1-py313he51e9a2_0.conda#f64c65352c68208b19838b537b39b02b
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda#8e194e7b992f99a5015edbd4ebd38efd
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
@@ -36,7 +37,7 @@ https://conda.anaconda.org/conda-forge/win-64/pyomo-6.10.0-py313hfe59770_0.conda
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 https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda#5b8d21249ff20967101ffa321cab24e8
-https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.2-py313h26f5e95_0.conda#4e6201ece5bfb083570145791feab397
+https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.3-py313h26f5e95_0.conda#9ceae84ab5002af792f42f1abc7ce997
 https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda#a2c1eeadae7a309daed9d62c96012a2b
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 https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda#2b661fd7a718757b2e91bbcac81deb48
@@ -63,12 +64,12 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.cond
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 https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.2.0-py313h3ebfc14_1.conda#916a39a0261621b8c33e9db2366dd427
-https://conda.anaconda.org/conda-forge/win-64/backports.zstd-1.4.0-py313h2a31948_0.conda#ef16917e1231df5c6f2ba245c8fe35e4
+https://conda.anaconda.org/conda-forge/win-64/backports.zstd-1.5.0-py313h2a31948_0.conda#e3aaaf11ae0e2e2bab3b418abc678158
 https://conda.anaconda.org/conda-forge/noarch/urllib3-2.7.0-pyhd8ed1ab_0.conda#cbb88288f74dbe6ada1c6c7d0a97223e
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-https://conda.anaconda.org/conda-forge/noarch/requests-2.33.1-pyhcf101f3_1.conda#9659f587a8ceacc21864260acd02fc67
+https://conda.anaconda.org/conda-forge/noarch/requests-2.34.1-pyhcf101f3_0.conda#18a1731937516054803c047e1b39dc04
 https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda#b27a9f4eca2925036e43542488d3a804
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 https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda#42834439227a4551b939beeeb8a4b085
@@ -101,7 +102,7 @@ https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda#e6fd8cfb23b294da699e395dbc968d11
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda#dd3d76adc511d9ce9820c33a09bf5705
 https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda#0d8bbf1699b16ac225031ae0c73729f8
-https://conda.anaconda.org/conda-forge/noarch/smart_open-7.6.0-pyhcf101f3_0.conda#458a05a84fe73bf082c0cf7d8a716c69
+https://conda.anaconda.org/conda-forge/noarch/smart_open-7.6.1-pyhcf101f3_0.conda#8e4971d25d53f168dfb64d6f5ee1316d
 https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.30.0-py313hfbe8231_0.conda#58ae648b12cfa6df3923b5fd219931cb
 https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda#c6b0543676ecb1fb2d7643941fe375f2
 https://conda.anaconda.org/conda-forge/noarch/referencing-0.37.0-pyhcf101f3_0.conda#870293df500ca7e18bedefa5838a22ab
@@ -110,8 +111,8 @@ https://conda.anaconda.org/conda-forge/win-64/icu-78.3-h637d24d_0.conda#0097b248
 https://conda.anaconda.org/conda-forge/win-64/libxml2-16-2.15.3-h3cfd58e_0.conda#9e8dd0d90ed830107b2c36801035b7db
 https://conda.anaconda.org/conda-forge/win-64/libxml2-2.15.3-h8ef44ab_0.conda#95591ca5671d2213f5b2d5aa7818420d
 https://conda.anaconda.org/conda-forge/win-64/libwinpthread-12.0.0.r4.gg4f2fc60ca-h57928b3_10.conda#8a86073cf3b343b87d03f41790d8b4e5
-https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.12.2-default_h4379cf1_1000.conda#3b576f6860f838f950c570f4433b086e
-https://conda.anaconda.org/conda-forge/win-64/tbb-2023.0.0-ha3553a1_1.conda#34aa94d586fe95fa121966c0d4e73cf4
+https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.13.0-default_h049141e_1000.conda#6a01c986e30292c715038d2788aa1385
+https://conda.anaconda.org/conda-forge/win-64/tbb-2023.0.0-hd3d4ead_2.conda#8ee01a693aecff5432069eaaf1183c45
 https://conda.anaconda.org/conda-forge/win-64/onemkl-license-2026.0.0-h57928b3_905.conda#fea22e21062046ba44336de37f4b6372
 https://conda.anaconda.org/conda-forge/win-64/mkl-include-2026.0.0-h57928b3_905.conda#ed4991939396eb9337a2a73323117818
 https://conda.anaconda.org/conda-forge/win-64/mkl-static-2026.0.0-hfdbc840_905.conda#e660b78eee9ac50f1f68f448003b73ae
@@ -140,7 +141,7 @@ https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda#7c
 https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.50-pyhd8ed1ab_0.conda#98958318a01373a615f119b1040b3027
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-https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.20.0-pyhdfd78af_0.conda#8fec66fdc146656a4f2f830732856b51
+https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.21.0-pyhdfd78af_0.conda#6b202a8f13eb6fe0e680b0b68535a008
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@@ -149,10 +150,10 @@ https://conda.anaconda.org/conda-forge/noarch/rich-15.0.0-pyhcf101f3_0.conda#024
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-https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.6.0-pyhd8ed1ab_0.conda#9a704e945e87078f464726c69071677a
+https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.6.1-pyhd8ed1ab_0.conda#ad6821df7a98510117db06e9a833281f
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-https://conda.anaconda.org/conda-forge/noarch/textual-8.2.5-pyhcf101f3_0.conda#ab380da68231be1e9b10519f63a4e77e
+https://conda.anaconda.org/conda-forge/noarch/textual-8.2.6-pyhcf101f3_0.conda#4a3213be5c1b4bf8f74776da7dee7654
 https://conda.anaconda.org/conda-forge/noarch/win32_setctime-1.2.0-pyhd8ed1ab_0.conda#e79f83003ee3dba79bf795fcd1bfcc89
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@@ -204,7 +205,7 @@ https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.2.0-hfd05255_1.cond
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-https://conda.anaconda.org/conda-forge/win-64/libarchive-3.8.7-gpl_he24518a_100.conda#e8575b817fa0ed38f4f31415f1b4accf
+https://conda.anaconda.org/conda-forge/win-64/libarchive-3.8.7-gpl_he24518a_101.conda#b974f2f88000dc128bf83d3d2281b441
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@@ -226,12 +227,14 @@ https://conda.anaconda.org/conda-forge/win-64/libgcc-15.2.0-h8ee18e1_19.conda#cc
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+https://conda.anaconda.org/conda-forge/noarch/llvm-meta-5.0.0-0.tar.bz2#213b5b5ad34008147a824460e50a691c
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diff --git a/pixi.lock b/pixi.lock
index 04f2a1a2b9..6699725def 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -23,7 +23,7 @@ environments:
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-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.20.0-pyhdfd78af_0.conda
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@@ -52,10 +52,10 @@ environments:
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@@ -63,16 +63,16 @@ environments:
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@@ -84,7 +84,7 @@ environments:
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@@ -94,7 +94,7 @@ environments:
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@@ -127,20 +127,20 @@ environments:
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@@ -167,7 +167,7 @@ environments:
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@@ -182,16 +182,16 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.32-pthreads_h94d23a6_0.conda
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@@ -245,8 +245,8 @@ environments:
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@@ -257,7 +257,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.40.0-py310hffdcd12_0.conda
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@@ -271,9 +271,9 @@ environments:
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   license_family: OTHER
-  size: 663930
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-  - liblapacke 3.11.0   6*_openblas
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-  - liblapacke 3.11.0   6*_openblas
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   license_family: Apache
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+  - python_abi 3.12.* *_cp312
+  - libblas >=3.9.0,<4.0a0
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   - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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+  - libglib ==2.88.1 hf28f236_2
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   - __osx >=11.0
   - libintl >=0.25.1,<1.0a0
   license: LGPL-2.1-or-later
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   license_family: BSD
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-  - mkl <2026
-  - liblapacke 3.11.0   6*_openblas
-  - liblapack  3.11.0   6*_openblas
+  - mkl <2027
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+  - libcblas   3.11.0   7*_openblas
+  - liblapack  3.11.0   7*_openblas
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-  md5: 2a174868cb9e136c4e92b3ffc2815f04
+- conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.11.0-7_h9b27e0a_openblas.conda
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-  - blas 2.306   openblas
-  - liblapack  3.11.0   6*_openblas
+  - liblapacke 3.11.0   7*_openblas
+  - liblapack  3.11.0   7*_openblas
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-  - libiconv >=1.18,<2.0a0
   - libffi >=3.5.2,<3.6.0a0
+  - libiconv >=1.18,<2.0a0
+  - libzlib >=1.3.2,<2.0a0
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-  timestamp: 1777905166322
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-  - liblapacke 3.11.0   6*_openblas
-  - blas 2.306   openblas
+  - liblapacke 3.11.0   7*_openblas
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+  - libcblas 3.11.0 7_h9b27e0a_openblas
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+  - blas 2.307   openblas
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   license_family: BSD
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+  - openblas >=0.3.33,<0.3.34.0a0
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-22.1.4-h0d3cbff_0.conda
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   constrains:
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+  - openmp 22.1.5|22.1.5.*
   - intel-openmp <0.0a0
   license: Apache-2.0 WITH LLVM-exception
   license_family: APACHE
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+  - __osx >=11.0
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/numexpr-2.14.1-py313h821d116_1.conda
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+  - __osx >=11.0
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   license: MIT
   license_family: MIT
-  size: 207904
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.4.3-py313hb870fc3_0.conda
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+  md5: 38af6ea7dc355d8624935c762a285804
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-  - liblapack >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
-  - python_abi 3.13.* *_cp313
+  - liblapack >=3.9.0,<4.0a0
   constrains:
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   license: BSD-3-Clause
   license_family: BSD
-  size: 8064515
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/pandas-3.0.2-py312h8e27051_0.conda
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+  - python_abi 3.13.* *_cp313
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+  - openblas >=0.3.33,<0.3.34.0a0
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+  - python 3.12.* *_cpython
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   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-runtime-32-1.40.0-py310h216a1ac_0.conda
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+  - c-blosc2 >=3.0.2,<3.1.0a0
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+  - azure-storage-common-cpp >=12.13.0,<12.13.1.0a0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.11.0-7_h6c93730_netlib.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.11.0-7_h0adab6e_openblas.conda
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+  - blas 2.307   openblas
+  - libcblas   3.11.0   7*_openblas
+  - liblapack  3.11.0   7*_openblas
+  - liblapacke 3.11.0   7*_openblas
+  - mkl <2027
   track_features:
-  - blas_netlib
-  - blas_netlib_2
+  - blas_openblas
+  - blas_openblas_2
   license: BSD-3-Clause
   license_family: BSD
-  size: 152133
-  timestamp: 1763441180597
+  size: 68095
+  timestamp: 1778490610670
 - conda: https://conda.anaconda.org/conda-forge/win-64/libboost-1.88.0-h9dfe17d_7.conda
   sha256: fad63bb3b722d4fc50c8258fc30402970ad36baf73edd87c1b647bdd6aed3f04
   md5: e13bc25d81b0132a0c51eb5cc179b0e9
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   license_family: MIT
   size: 252903
   timestamp: 1764017901735
-- conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.11.0-7_hc41557d_netlib.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.11.0-7_h2a8eebe_openblas.conda
   build_number: 7
-  sha256: 58b88015610f69f014de4cdd3d0139617ba2612f5135710e8c7295da16c42f01
-  md5: a3201147bbcbbed12d51bacad285e8c4
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+  md5: 9ff75ed6e8ff7920cf0cc0e6324a5a8e
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-  - libblas 3.11.0.*
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - libblas 3.11.0 7_h0adab6e_openblas
+  constrains:
+  - blas 2.307   openblas
+  - liblapack  3.11.0   7*_openblas
+  - liblapacke 3.11.0   7*_openblas
   track_features:
-  - blas_netlib
-  - blas_netlib_2
+  - blas_openblas
   license: BSD-3-Clause
   license_family: BSD
-  size: 44724
-  timestamp: 1763441236326
-- conda: https://conda.anaconda.org/conda-forge/win-64/libclang13-22.1.4-default_ha2db4b5_1.conda
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-  md5: 3cd6af016509fb90309f1430c6c4bb6e
+  size: 68191
+  timestamp: 1778490623687
+- conda: https://conda.anaconda.org/conda-forge/win-64/libclang13-22.1.5-default_ha2db4b5_0.conda
+  sha256: c10dcb835068ced8d0d45dfeb7126f5ff686258c0fbf2cd8ea6de5b629d0c52a
+  md5: 74229a56cbbfda28f75bed42ac5cacc7
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   - libzlib >=1.3.2,<2.0a0
   - ucrt >=10.0.20348.0
@@ -29004,8 +29047,8 @@ packages:
   - zstd >=1.5.7,<1.6.0a0
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
-  size: 30484923
-  timestamp: 1778189862145
+  size: 30485424
+  timestamp: 1778465527873
 - conda: https://conda.anaconda.org/conda-forge/win-64/libcrc32c-1.1.2-h0e60522_0.tar.bz2
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   md5: cd4cc2d0c610c8cb5419ccc979f2d6ce
@@ -29102,6 +29145,17 @@ packages:
   license_family: MIT
   size: 45831
   timestamp: 1769456418774
+- conda: https://conda.anaconda.org/conda-forge/win-64/libflang-5.0.0-h6538335_20180525.tar.bz2
+  sha256: 0b893b511190332320f4a3e3d6424fbd350271ffbca34eb25b5cd8bc451f1a05
+  md5: 9f473a344e18668e99a93f7e21a54b69
+  depends:
+  - openmp 5.0.0
+  - vc >=14,<15.0a0
+  track_features:
+  - flang
+  license: Apache 2.0
+  size: 531143
+  timestamp: 1527899216421
 - conda: https://conda.anaconda.org/conda-forge/win-64/libfreetype-2.14.3-h57928b3_0.conda
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   md5: d9f70dd06674e26b6d5a657ddd22b568
@@ -29321,23 +29375,23 @@ packages:
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   size: 3826069
   timestamp: 1754315362939
-- conda: https://conda.anaconda.org/conda-forge/win-64/libglib-2.88.1-h7ce1215_1.conda
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-  md5: 574ba3f468b639cfaf65c0f2b04d8e9d
+- conda: https://conda.anaconda.org/conda-forge/win-64/libglib-2.88.1-h7ce1215_2.conda
+  sha256: f61277e224e9889c221bb2eac0f57d5aeeb82fc45d3dc326957d251c97444f7c
+  md5: 5fb838786a8317ebb38056bbe236d3ff
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   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - libzlib >=1.3.2,<2.0a0
   - libiconv >=1.18,<2.0a0
+  - libzlib >=1.3.2,<2.0a0
+  - pcre2 >=10.47,<10.48.0a0
   - libintl >=0.22.5,<1.0a0
   - libffi >=3.5.2,<3.6.0a0
-  - pcre2 >=10.47,<10.48.0a0
   constrains:
   - glib >2.66
   license: LGPL-2.1-or-later
-  size: 4522879
-  timestamp: 1777904959903
+  size: 4522891
+  timestamp: 1778508851933
 - conda: https://conda.anaconda.org/conda-forge/win-64/libgomp-15.2.0-h8ee18e1_19.conda
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   timestamp: 1774013326223
-- conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.12.2-default_h4379cf1_1000.conda
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-  md5: 3b576f6860f838f950c570f4433b086e
+- conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.13.0-default_h049141e_1000.conda
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+  md5: 6a01c986e30292c715038d2788aa1385
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   - libxml2
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   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 2411241
-  timestamp: 1765104337762
+  size: 2396128
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 - conda: https://conda.anaconda.org/conda-forge/win-64/libhwy-1.4.0-h172a326_0.conda
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@@ -29541,22 +29595,22 @@ packages:
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   timestamp: 1777026660593
-- conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-7_h018ca30_netlib.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.11.0-7_hd232482_openblas.conda
   build_number: 7
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-  md5: 2e2b680a6d0b0b58b94b4ffdf8a76b5b
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+  md5: b8c50b5c86e823b809cd54a7baf1f024
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-  - libblas 3.11.0.*
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - libblas 3.11.0 7_h0adab6e_openblas
+  constrains:
+  - blas 2.307   openblas
+  - liblapacke 3.11.0   7*_openblas
+  - libcblas   3.11.0   7*_openblas
   track_features:
-  - blas_netlib
-  - blas_netlib_2
+  - blas_openblas
   license: BSD-3-Clause
   license_family: BSD
-  size: 2131489
-  timestamp: 1763441291332
+  size: 80575
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 - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.3-hfd05255_0.conda
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   md5: 8f83619ab1588b98dd99c90b0bfc5c6d
@@ -29635,6 +29689,19 @@ packages:
   license_family: MIT
   size: 677496
   timestamp: 1757402219395
+- conda: https://conda.anaconda.org/conda-forge/win-64/libopenblas-0.3.33-pthreads_h877e47f_0.conda
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+  md5: 51d4c0bc3695f63375d095004dc2597c
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  constrains:
+  - openblas >=0.3.33,<0.3.34.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 4046868
+  timestamp: 1776999773412
 - conda: https://conda.anaconda.org/conda-forge/win-64/libparquet-23.0.0-h7051d1f_2_cpu.conda
   build_number: 2
   sha256: 10b1562bc1d7195c46134b2f53a7091b979c45e4117a60e1c4be0a0ce05c6171
@@ -30042,20 +30109,6 @@ packages:
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   size: 58347
   timestamp: 1774072851498
-- conda: https://conda.anaconda.org/conda-forge/win-64/llvm-openmp-22.1.4-h4fa8253_0.conda
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-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  constrains:
-  - intel-openmp <0.0a0
-  - openmp 22.1.4|22.1.4.*
-  license: Apache-2.0 WITH LLVM-exception
-  license_family: APACHE
-  size: 347999
-  timestamp: 1776846360348
 - conda: https://conda.anaconda.org/conda-forge/win-64/lxml-6.1.0-py313h1af1686_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/mumps-seq-5.8.2-h607cc0b_2.conda
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-  md5: 4f9dd2756fd47f390197cdc0a984e08e
+- conda: https://conda.anaconda.org/conda-forge/win-64/mumps-seq-5.7.3-h7c2359a_3.conda
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-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - llvm-openmp >=21.1.8
-  - liblapack >=3.9.0,<4.0a0
   - libblas >=3.9.0,<4.0a0
-  constrains:
-  - libopenblas * *openmp*
+  - libflang >=5.0.0,<6.0.0.a0
+  - liblapack >=3.9.0,<4.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
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   license: CECILL-C
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   size: 516677
   timestamp: 1764782612807
-- conda: https://conda.anaconda.org/conda-forge/win-64/numexpr-2.14.1-py312h0c4f959_101.conda
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-  md5: 6e1f10382b5cc01f2a2d23a7f6681f9f
+- conda: https://conda.anaconda.org/conda-forge/win-64/numexpr-2.14.1-py312h0c4f959_102.conda
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+  md5: ec5fb486545f4f928a86b2d2862418fd
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   - nomkl
   - numpy >=1.23,<3
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   license: MIT
   license_family: MIT
-  size: 204242
-  timestamp: 1762595114362
-- conda: https://conda.anaconda.org/conda-forge/win-64/numexpr-2.14.1-py313h7034ea3_101.conda
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-  md5: 72e7dec0e858b4476adaf38d137d0475
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+  md5: c7c0530b8c193391a013782259c3a1a0
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   - vc14_runtime >=14.44.35208
   license: MIT
   license_family: MIT
-  size: 205195
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@@ -30470,24 +30521,24 @@ packages:
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   timestamp: 1707226412944
-- conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.3-py313ha8dc839_0.conda
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-  md5: 764b3adfdb549bbbf58a9419f237ac25
+- conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.4-py313ha8dc839_0.conda
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   - python
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   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
+  - liblapack >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - libblas >=3.9.0,<4.0a0
   - python_abi 3.13.* *_cp313
-  - liblapack >=3.9.0,<4.0a0
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 7254954
-  timestamp: 1773839147528
+  size: 7256348
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@@ -30521,6 +30572,14 @@ packages:
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   size: 245594
   timestamp: 1772624841727
+- conda: https://conda.anaconda.org/conda-forge/win-64/openmp-5.0.0-vc14_1.tar.bz2
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+  md5: 8284c925330fa53668ade00db3c9e787
+  depends:
+  - llvm-meta 5.0.0|5.0.0.*
+  - vc 14.*
+  license: NCSA
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 - conda: https://conda.anaconda.org/conda-forge/win-64/openpyxl-3.1.5-py312h83acffa_3.conda
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@@ -30595,9 +30654,9 @@ packages:
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-- conda: https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.2-py312h95189c4_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.3-py312h95189c4_0.conda
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+  md5: 9da394ea5e0ec5cc5edc1ad14f2a4d4d
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   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - python_abi 3.12.* *_cp312
   - numpy >=1.23,<3
+  - python_abi 3.12.* *_cp312
   constrains:
   - adbc-driver-postgresql >=1.2.0
   - adbc-driver-sqlite >=1.2.0
@@ -30649,11 +30708,11 @@ packages:
   - zstandard >=0.23.0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.2-py313h26f5e95_0.conda
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-  md5: 4e6201ece5bfb083570145791feab397
+  size: 13644207
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.3-py313h26f5e95_0.conda
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+  md5: 9ceae84ab5002af792f42f1abc7ce997
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   - python
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@@ -30705,8 +30764,8 @@ packages:
   - zstandard >=0.23.0
   license: BSD-3-Clause
   license_family: BSD
-  size: 13776685
-  timestamp: 1774916628087
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 - conda: https://conda.anaconda.org/conda-forge/win-64/pango-1.56.4-h03d888a_0.conda
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   md5: 452d6d3b409edead3bd90fc6317cd6d4
@@ -30833,10 +30892,10 @@ packages:
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   size: 542795
   timestamp: 1754665193489
-- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.40.0-py310hca7251b_0.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.40.1-py310hd2b7e2a_0.conda
   noarch: python
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-  md5: 83777f2f14c762bb977e17668b0fb651
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@@ -30846,8 +30905,8 @@ packages:
   - cpython >=3.10
   license: MIT
   license_family: MIT
-  size: 42594685
-  timestamp: 1776698510034
+  size: 42570773
+  timestamp: 1778583344389
 - conda: https://conda.anaconda.org/conda-forge/win-64/proj-9.6.2-h7990399_2.conda
   sha256: e798e9bd658f6c00cfac0d8573c7fe97d9ebad5966c96c23e0702f44e51905bb
   md5: 6e0e8fcc3eb2c1418d663005bf040d8d
@@ -31175,42 +31234,42 @@ packages:
   license_family: BSD
   size: 171632
   timestamp: 1756887863806
-- conda: https://conda.anaconda.org/conda-forge/win-64/pyscipopt-6.1.0-np2py313h776c0ec_0.conda
-  sha256: 8d7c7195bf1f0ebfd8d2e48603a9730d44c976f35da6cc455a0080e999eb40e4
-  md5: 9d08f3d89b1d716787c99de326a2c112
+- conda: https://conda.anaconda.org/conda-forge/win-64/pyscipopt-6.2.0-np2py313h776c0ec_0.conda
+  sha256: e521aababcb01cc7a5c7bad9eaebf0db68c33ab00c29741f7ad56ba36d915196
+  md5: 2496c6d2f242448aaaae67a3ba630bc2
   depends:
   - python
   - numpy >=1.16.0
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
+  - scip >=10.0.0,<11.0a0
   - numpy >=1.23,<3
   - python_abi 3.13.* *_cp313
-  - scip >=10.0.0,<11.0a0
   license: MIT
   license_family: MIT
-  size: 842709
-  timestamp: 1770303761803
-- conda: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.11.0-py313h0c3c3c1_2.conda
-  sha256: 0427cce7a1a306fe2dd911e644fe73cefd25d11386e5715ae64df923cdb24163
-  md5: 9620210dc7d1d7c514f09f071e60a344
+  size: 852353
+  timestamp: 1778512659078
+- conda: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.11.0-py313h0c3c3c1_3.conda
+  sha256: 754c6b098924c092295e99132a801aec5793802bd10c19bf6bf1461b69141b34
+  md5: 5eaa55e8c9dec99a6d64e5368cc28b3e
   depends:
   - python
   - qt6-main 6.11.0.*
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - qt6-main >=6.11.0,<6.12.0a0
-  - libclang13 >=21.1.8
-  - libxslt >=1.1.43,<2.0a0
   - libxml2
   - libxml2-16 >=2.14.6
-  - libvulkan-loader >=1.4.341.0,<2.0a0
   - python_abi 3.13.* *_cp313
+  - libxslt >=1.1.43,<2.0a0
+  - libvulkan-loader >=1.4.341.0,<2.0a0
+  - libclang13 >=21.1.8
+  - qt6-main >=6.11.0,<6.12.0a0
   license: LGPL-3.0-only
   license_family: LGPL
-  size: 11196479
-  timestamp: 1776276404718
+  size: 11450343
+  timestamp: 1778540561100
 - conda: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.9.2-py312h0ba07f7_1.conda
   sha256: 3592fa488f9b267818ecd056a1d7cf9960fc34424eaea7ae8d72360f0c2ac364
   md5: 67d1a60b275352d228940a8414cc515a
@@ -31253,13 +31312,13 @@ packages:
   license_family: BSD
   size: 1492106
   timestamp: 1770023883075
-- conda: https://conda.anaconda.org/conda-forge/win-64/pytables-3.11.1-py313h98afe49_1.conda
-  sha256: 495b27876d32055a943285a3818b002c02f8d2e32879ce46e19121e5a299cb81
-  md5: 33d55c4e5eca58655974a6858f541290
+- conda: https://conda.anaconda.org/conda-forge/win-64/pytables-3.11.1-py313h98afe49_2.conda
+  sha256: 92c30b77a4b2450337d084aaf45ace11e2d403a37b4a7eefb0454d7f023c42b2
+  md5: 84217fee716469b55515711ca5e8f2b4
   depends:
   - blosc >=1.21.6,<2.0a0
   - bzip2 >=1.0.8,<2.0a0
-  - c-blosc2 >=2.23.1,<2.24.0a0
+  - c-blosc2 >=3.0.2,<3.1.0a0
   - hdf5 >=1.14.6,<1.14.7.0a0
   - libzlib >=1.3.2,<2.0a0
   - numexpr
@@ -31275,8 +31334,8 @@ packages:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 1515912
-  timestamp: 1774333966631
+  size: 1517765
+  timestamp: 1778345309737
 - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.12.12-h30ce641_0_cpython.conda
   sha256: 9e9d6fa3b4ef231fcabf00364319f4ffacb1fb683e6c61c2438bafe3c61a7e2e
   md5: e672c6dc92e6f1fcac0f9fed61b2b922
@@ -31874,18 +31933,18 @@ packages:
   license_family: MIT
   size: 11858249
   timestamp: 1762185745141
-- conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2023.0.0-ha3553a1_1.conda
-  sha256: 5ff149ba6832bf4ded4b43bf0a41cde7be814802a95070553176c087f65b2a01
-  md5: 34aa94d586fe95fa121966c0d4e73cf4
+- conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2023.0.0-hd3d4ead_2.conda
+  sha256: 8a4053839b8e997a5965e2dff7d6cf3c77be62d82c0e48c8a04a5ed2d2e73035
+  md5: 8ee01a693aecff5432069eaaf1183c45
   depends:
-  - libhwloc >=2.12.2,<2.12.3.0a0
+  - libhwloc >=2.13.0,<2.13.1.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: Apache-2.0
   license_family: APACHE
-  size: 156910
-  timestamp: 1777976465531
+  size: 156515
+  timestamp: 1778673901757
 - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h6ed50ae_3.conda
   sha256: 0e79810fae28f3b69fe7391b0d43f5474d6bd91d451d5f2bde02f55ae481d5e3
   md5: 0481bfd9814bf525bd4b3ee4b51494c4
@@ -31983,49 +32042,49 @@ packages:
   license_family: BSD
   size: 49181
   timestamp: 1715010467661
-- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda
-  sha256: 9dc40c2610a6e6727d635c62cced5ef30b7b30123f5ef67d6139e23d21744b3a
-  md5: 1e610f2416b6acdd231c5f573d754a0f
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_36.conda
+  sha256: 7c86d8ed3ac473c3e4dde0dd05aeb1f3189a26ad66c0e250f6cf4018e73358f2
+  md5: 3466ff4a8753003eeb173f508d3d5a49
   depends:
   - vc14_runtime >=14.44.35208
   track_features:
   - vc14
   license: BSD-3-Clause
   license_family: BSD
-  size: 19356
-  timestamp: 1767320221521
-- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_34.conda
-  sha256: 02732f953292cce179de9b633e74928037fa3741eb5ef91c3f8bae4f761d32a5
-  md5: 37eb311485d2d8b2c419449582046a42
+  size: 19989
+  timestamp: 1778688080106
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_36.conda
+  sha256: 902984f2282859a76d764d80d74f873df7c7749117cfac15c5106e086fb2b772
+  md5: 65f5c81f2796961fcfd808eee8e73596
   depends:
   - ucrt >=10.0.20348.0
-  - vcomp14 14.44.35208 h818238b_34
+  - vcomp14 14.44.35208 h818238b_36
   constrains:
-  - vs2015_runtime 14.44.35208.* *_34
+  - vs2015_runtime 14.44.35208.* *_36
   license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
   license_family: Proprietary
-  size: 683233
-  timestamp: 1767320219644
-- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_34.conda
-  sha256: 878d5d10318b119bd98ed3ed874bd467acbe21996e1d81597a1dbf8030ea0ce6
-  md5: 242d9f25d2ae60c76b38a5e42858e51d
+  size: 683790
+  timestamp: 1778688078434
+- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_36.conda
+  sha256: 0cd5b905ab2b5e9fcb170fe8801b64917effef8e3a73ffd9b2cc4c3ee387f09c
+  md5: 4aa1884260877bd57d16070d20271e2d
   depends:
   - ucrt >=10.0.20348.0
   constrains:
-  - vs2015_runtime 14.44.35208.* *_34
+  - vs2015_runtime 14.44.35208.* *_36
   license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
   license_family: Proprietary
-  size: 115235
-  timestamp: 1767320173250
-- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
-  sha256: 63ff4ec6e5833f768d402f5e95e03497ce211ded5b6f492e660e2bfc726ad24d
-  md5: f276d1de4553e8fca1dfb6988551ebb4
+  size: 115995
+  timestamp: 1778688058077
+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_36.conda
+  sha256: 458bcc4a857b6741692fec978646a4b2d8f54119daad6c89838fe831cafba43d
+  md5: 7a79d40a33f3e3ddfc9a603fb3cb8647
   depends:
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
   license_family: BSD
-  size: 19347
-  timestamp: 1767320221943
+  size: 19982
+  timestamp: 1778688080463
 - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
   sha256: 9df10c5b607dd30e05ba08cbd940009305c75db242476f4e845ea06008b0a283
   md5: 1cee351bf20b830d991dbe0bc8cd7dfe

From 244f07116fd1c4c70592d04f496f7b2acb77c665 Mon Sep 17 00:00:00 2001
From: Fabian Hofmann <fab.hof@gmx.de>
Date: Wed, 3 Jun 2026 13:14:42 +0200
Subject: [PATCH 064/105] feat: add index name to cluster weights (#2185)

---
 scripts/cluster_network.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/cluster_network.py b/scripts/cluster_network.py
index 9eb9bd2fdf..f64e24dc34 100644
--- a/scripts/cluster_network.py
+++ b/scripts/cluster_network.py
@@ -298,7 +298,7 @@ def distribute_n_clusters_to_countries(
         .sum()
         .pipe(normed)
     )
-
+    L.index.name = "cluster"
     N = n.buses.groupby(["country", "sub_network"]).size()[L.index]
 
     assert n_clusters >= len(N) and n_clusters <= N.sum(), (

From fcb0850dd021b67f078df6cc6f6ccb29d7b90970 Mon Sep 17 00:00:00 2001
From: lkstrp <lkstrp@pm.me>
Date: Thu, 7 May 2026 16:15:22 +0200
Subject: [PATCH 065/105] docs: rename .rst files to .md

---
 doc/{configuration.rst => configuration.md}           | 0
 doc/{contributing.rst => contributing.md}             | 0
 doc/{costs.rst => costs.md}                           | 0
 doc/{data-base-network.rst => data-base-network.md}   | 0
 doc/{data-cutouts.rst => data-cutouts.md}             | 0
 doc/{data-repos.rst => data-repos.md}                 | 0
 doc/{data_sources.rst => data_sources.md}             | 0
 doc/{foresight.rst => foresight.md}                   | 0
 doc/{index.rst => index.md}                           | 0
 doc/{installation.rst => installation.md}             | 0
 doc/{introduction.rst => introduction.md}             | 0
 doc/{licenses.rst => licenses.md}                     | 0
 doc/{limitations.rst => limitations.md}               | 0
 doc/{oetc.rst => oetc.md}                             | 0
 doc/{plotting.rst => plotting.md}                     | 0
 doc/{preparation.rst => preparation.md}               | 0
 doc/{publications.rst => publications.md}             | 0
 doc/{release_notes.rst => release_notes.md}           | 0
 doc/{retrieve.rst => retrieve.md}                     | 0
 doc/{sector.rst => sector.md}                         | 0
 doc/{solving.rst => solving.md}                       | 0
 doc/{spatial_resolution.rst => spatial_resolution.md} | 0
 doc/{supply_demand.rst => supply_demand.md}           | 0
 doc/{support.rst => support.md}                       | 0
 doc/{tutorial.rst => tutorial.md}                     | 0
 doc/{tutorial_sector.rst => tutorial_sector.md}       | 0
 doc/{validation.rst => validation.md}                 | 0
 doc/{validation_dev.rst => validation_dev.md}         | 0
 doc/{wildcards.rst => wildcards.md}                   | 0
 29 files changed, 0 insertions(+), 0 deletions(-)
 rename doc/{configuration.rst => configuration.md} (100%)
 rename doc/{contributing.rst => contributing.md} (100%)
 rename doc/{costs.rst => costs.md} (100%)
 rename doc/{data-base-network.rst => data-base-network.md} (100%)
 rename doc/{data-cutouts.rst => data-cutouts.md} (100%)
 rename doc/{data-repos.rst => data-repos.md} (100%)
 rename doc/{data_sources.rst => data_sources.md} (100%)
 rename doc/{foresight.rst => foresight.md} (100%)
 rename doc/{index.rst => index.md} (100%)
 rename doc/{installation.rst => installation.md} (100%)
 rename doc/{introduction.rst => introduction.md} (100%)
 rename doc/{licenses.rst => licenses.md} (100%)
 rename doc/{limitations.rst => limitations.md} (100%)
 rename doc/{oetc.rst => oetc.md} (100%)
 rename doc/{plotting.rst => plotting.md} (100%)
 rename doc/{preparation.rst => preparation.md} (100%)
 rename doc/{publications.rst => publications.md} (100%)
 rename doc/{release_notes.rst => release_notes.md} (100%)
 rename doc/{retrieve.rst => retrieve.md} (100%)
 rename doc/{sector.rst => sector.md} (100%)
 rename doc/{solving.rst => solving.md} (100%)
 rename doc/{spatial_resolution.rst => spatial_resolution.md} (100%)
 rename doc/{supply_demand.rst => supply_demand.md} (100%)
 rename doc/{support.rst => support.md} (100%)
 rename doc/{tutorial.rst => tutorial.md} (100%)
 rename doc/{tutorial_sector.rst => tutorial_sector.md} (100%)
 rename doc/{validation.rst => validation.md} (100%)
 rename doc/{validation_dev.rst => validation_dev.md} (100%)
 rename doc/{wildcards.rst => wildcards.md} (100%)

diff --git a/doc/configuration.rst b/doc/configuration.md
similarity index 100%
rename from doc/configuration.rst
rename to doc/configuration.md
diff --git a/doc/contributing.rst b/doc/contributing.md
similarity index 100%
rename from doc/contributing.rst
rename to doc/contributing.md
diff --git a/doc/costs.rst b/doc/costs.md
similarity index 100%
rename from doc/costs.rst
rename to doc/costs.md
diff --git a/doc/data-base-network.rst b/doc/data-base-network.md
similarity index 100%
rename from doc/data-base-network.rst
rename to doc/data-base-network.md
diff --git a/doc/data-cutouts.rst b/doc/data-cutouts.md
similarity index 100%
rename from doc/data-cutouts.rst
rename to doc/data-cutouts.md
diff --git a/doc/data-repos.rst b/doc/data-repos.md
similarity index 100%
rename from doc/data-repos.rst
rename to doc/data-repos.md
diff --git a/doc/data_sources.rst b/doc/data_sources.md
similarity index 100%
rename from doc/data_sources.rst
rename to doc/data_sources.md
diff --git a/doc/foresight.rst b/doc/foresight.md
similarity index 100%
rename from doc/foresight.rst
rename to doc/foresight.md
diff --git a/doc/index.rst b/doc/index.md
similarity index 100%
rename from doc/index.rst
rename to doc/index.md
diff --git a/doc/installation.rst b/doc/installation.md
similarity index 100%
rename from doc/installation.rst
rename to doc/installation.md
diff --git a/doc/introduction.rst b/doc/introduction.md
similarity index 100%
rename from doc/introduction.rst
rename to doc/introduction.md
diff --git a/doc/licenses.rst b/doc/licenses.md
similarity index 100%
rename from doc/licenses.rst
rename to doc/licenses.md
diff --git a/doc/limitations.rst b/doc/limitations.md
similarity index 100%
rename from doc/limitations.rst
rename to doc/limitations.md
diff --git a/doc/oetc.rst b/doc/oetc.md
similarity index 100%
rename from doc/oetc.rst
rename to doc/oetc.md
diff --git a/doc/plotting.rst b/doc/plotting.md
similarity index 100%
rename from doc/plotting.rst
rename to doc/plotting.md
diff --git a/doc/preparation.rst b/doc/preparation.md
similarity index 100%
rename from doc/preparation.rst
rename to doc/preparation.md
diff --git a/doc/publications.rst b/doc/publications.md
similarity index 100%
rename from doc/publications.rst
rename to doc/publications.md
diff --git a/doc/release_notes.rst b/doc/release_notes.md
similarity index 100%
rename from doc/release_notes.rst
rename to doc/release_notes.md
diff --git a/doc/retrieve.rst b/doc/retrieve.md
similarity index 100%
rename from doc/retrieve.rst
rename to doc/retrieve.md
diff --git a/doc/sector.rst b/doc/sector.md
similarity index 100%
rename from doc/sector.rst
rename to doc/sector.md
diff --git a/doc/solving.rst b/doc/solving.md
similarity index 100%
rename from doc/solving.rst
rename to doc/solving.md
diff --git a/doc/spatial_resolution.rst b/doc/spatial_resolution.md
similarity index 100%
rename from doc/spatial_resolution.rst
rename to doc/spatial_resolution.md
diff --git a/doc/supply_demand.rst b/doc/supply_demand.md
similarity index 100%
rename from doc/supply_demand.rst
rename to doc/supply_demand.md
diff --git a/doc/support.rst b/doc/support.md
similarity index 100%
rename from doc/support.rst
rename to doc/support.md
diff --git a/doc/tutorial.rst b/doc/tutorial.md
similarity index 100%
rename from doc/tutorial.rst
rename to doc/tutorial.md
diff --git a/doc/tutorial_sector.rst b/doc/tutorial_sector.md
similarity index 100%
rename from doc/tutorial_sector.rst
rename to doc/tutorial_sector.md
diff --git a/doc/validation.rst b/doc/validation.md
similarity index 100%
rename from doc/validation.rst
rename to doc/validation.md
diff --git a/doc/validation_dev.rst b/doc/validation_dev.md
similarity index 100%
rename from doc/validation_dev.rst
rename to doc/validation_dev.md
diff --git a/doc/wildcards.rst b/doc/wildcards.md
similarity index 100%
rename from doc/wildcards.rst
rename to doc/wildcards.md

From f750d664f1d5f2afa4c57a3f8b4132ecdd59873f Mon Sep 17 00:00:00 2001
From: lkstrp <lkstrp@pm.me>
Date: Thu, 4 Jun 2026 16:45:55 +0200
Subject: [PATCH 066/105] docs: migrate to markdown/ mkdocs/ material

---
 .github/pull_request_template.md              |    4 +-
 .gitignore                                    |    5 +
 .readthedocs.yml                              |   12 +-
 README.md                                     |    4 +-
 doc/Makefile                                  |  196 -
 doc/conf.py                                   |  365 --
 doc/configuration.md                          | 1679 ++++++---
 doc/contributing.md                           |   57 +-
 doc/costs.md                                  |   44 +-
 doc/data-base-network.md                      |   23 +-
 doc/data-cutouts.md                           |  106 +-
 doc/data-repos.md                             |  100 +-
 doc/data_inventory.csv                        |  106 +-
 doc/data_sources.md                           |  103 +-
 doc/foresight.md                              |  201 +-
 doc/hooks.py                                  |   22 +
 doc/index.md                                  |  300 +-
 doc/installation.md                           |  159 +-
 doc/introduction.md                           |  112 +-
 doc/licenses.md                               |   24 +-
 doc/limitations.md                            |   17 +-
 doc/macros.py                                 |   65 +
 doc/make.bat                                  |  266 --
 doc/oetc.md                                   |  106 +-
 doc/plotting.md                               |  104 +-
 doc/preparation.md                            |  204 +-
 doc/publications.md                           |   12 +-
 doc/release_notes.md                          | 3163 ++++++++---------
 doc/retrieve.md                               |   91 +-
 doc/sector.md                                 |  271 +-
 doc/solving.md                                |   36 +-
 doc/spatial_resolution.md                     |   46 +-
 doc/supply_demand.md                          |  465 +--
 doc/support.md                                |   17 +-
 doc/tutorial.md                               |  457 +--
 doc/tutorial_sector.md                        | 1126 +-----
 doc/validation.md                             |   26 +-
 doc/validation_dev.md                         |  328 +-
 doc/wildcards.md                              |  111 +-
 mkdocs.yml                                    |  114 +
 pixi.lock                                     | 1493 +++++---
 pixi.toml                                     |   26 +-
 scripts/add_electricity.py                    |   26 +-
 scripts/add_existing_baseyear.py              |    4 +-
 scripts/base_network.py                       |  120 +-
 scripts/build_ammonia_production.py           |    2 +-
 scripts/build_ates_potentials.py              |   17 +-
 scripts/build_bidding_zones.py                |   24 +-
 scripts/build_biomass_potentials.py           |    4 +-
 .../run.py                                    |   13 +-
 ..._clustered_co2_sequestration_potentials.py |    4 +-
 scripts/build_co2_sequestration_potentials.py |    4 +-
 scripts/build_cop_profiles/run.py             |   35 +-
 scripts/build_country_hdd.py                  |   15 +-
 scripts/build_country_runoff.py               |   15 +-
 scripts/build_cutout.py                       |   78 +-
 scripts/build_daily_heat_demand.py            |    7 +-
 scripts/build_dh_areas.py                     |   14 +-
 scripts/build_electricity_demand.py           |   21 +-
 scripts/build_electricity_demand_base.py      |    2 +-
 scripts/build_energy_totals.py                |   26 +-
 scripts/build_geothermal_heat_potential.py    |   13 +-
 scripts/build_heat_totals.py                  |    2 +-
 scripts/build_hourly_heat_demand.py           |    4 +-
 scripts/build_hydro_profile.py                |   17 +-
 ...industrial_energy_demand_per_node_today.py |    2 +-
 ...build_industrial_production_per_country.py |    2 +-
 ...ustrial_production_per_country_tomorrow.py |    2 +-
 ...ild_industry_sector_ratios_intermediate.py |    2 +-
 scripts/build_line_rating.py                  |    2 +-
 scripts/build_mobility_profiles.py            |   41 +-
 scripts/build_monthly_prices.py               |    2 +-
 scripts/build_natura.py                       |   29 +-
 scripts/build_osm_boundaries.py               |    9 +-
 scripts/build_osm_network.py                  |   12 +-
 scripts/build_powerplants.py                  |   55 +-
 scripts/build_ptes_operations/run.py          |   17 +-
 scripts/build_renewable_profiles.py           |   60 +-
 scripts/build_shapes.py                       |   50 +-
 scripts/build_ship_raster.py                  |    9 +-
 scripts/build_solar_thermal_profiles.py       |    6 +-
 .../build_river_water_heat_potential.py       |   22 +-
 .../build_sea_water_heat_potential.py         |   22 +-
 scripts/build_temperature_profiles.py         |    8 +-
 scripts/build_transmission_projects.py        |   36 +-
 scripts/build_tyndp_network.py                |   73 +-
 scripts/cluster_network.py                    |   82 +-
 scripts/determine_availability_matrix.py      |   56 +-
 scripts/plot_heat_source_map.py               |   12 +-
 scripts/plot_interactive_bus_balance.py       |   12 +-
 scripts/prepare_network.py                    |   12 +-
 scripts/prepare_sector_network.py             |   31 +-
 scripts/process_cost_data.py                  |    6 +-
 scripts/retrieve_seawater_temperature.py      |    8 +-
 scripts/simplify_network.py                   |   40 +-
 scripts/solve_network.py                      |   37 +-
 scripts/solve_operations_network.py           |    2 +-
 scripts/time_aggregation.py                   |    2 +-
 98 files changed, 6229 insertions(+), 7165 deletions(-)
 delete mode 100644 doc/Makefile
 delete mode 100644 doc/conf.py
 create mode 100644 doc/hooks.py
 create mode 100644 doc/macros.py
 delete mode 100644 doc/make.bat
 create mode 100644 mkdocs.yml

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 0f4e693a7b..178a9d4045 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -8,9 +8,9 @@ Closes # (if applicable).
 **Required:**
 - [ ] Changes are tested locally and behave as expected.
 - [ ] Code and workflow changes are documented.
-- [ ] A release note entry is added to `doc/release_notes.rst`.
+- [ ] A release note entry is added to `doc/release_notes.md`.
 
 **If applicable:**
 - [ ] Changes in configuration options are reflected in `scripts/lib/validation`.
 - [ ] For new data sources or versions, [these instructions](https://pypsa-eur.readthedocs.io/en/latest/data_sources.html) have been followed.
-- [ ] New rules are documented in the appropriate `doc/*.rst` files.
\ No newline at end of file
+- [ ] New rules are documented in the appropriate `doc/*.md` files.
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 12ebbc6a67..3f7364bf7f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -87,6 +87,11 @@ CLAUDE.md
 .claude/
 .github/copilot-instructions.md
 CLAUDE.local.md
+# generated DAGs for docs
+doc/img/dag_*.svg
+doc/img/workflow.svg
+doc/img/intro-workflow.svg
+
 # pixi environments
 .pixi/*
 !.pixi/config.toml
diff --git a/.readthedocs.yml b/.readthedocs.yml
index baceeecd30..275dddcf26 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -4,21 +4,23 @@
 
 version: 2
 
-sphinx:
-  configuration: doc/conf.py
-
+mkdocs:
+  configuration: mkdocs.yml
 
 build:
   os: ubuntu-24.04
   tools:
     python: "3.12"
+  apt_packages:
+  - graphviz
   jobs:
     create_environment:
     - asdf plugin add pixi
     - asdf install pixi latest
     - asdf global pixi latest
     install:
-    - pixi install -e doc --frozen
+    - pixi install -e default -e doc --frozen
     build:
       html:
-      - pixi run build-docs $READTHEDOCS_OUTPUT html
+      - pixi run update-dags
+      - pixi run build-docs $READTHEDOCS_OUTPUT
diff --git a/README.md b/README.md
index 34a8be490a..feb9a3c76e 100644
--- a/README.md
+++ b/README.md
@@ -88,6 +88,6 @@ We strongly welcome anyone interested in contributing to this project. If you ha
 # Licence
 
 The code in PyPSA-Eur is released as free software under the
-[MIT License](https://opensource.org/licenses/MIT), see [`doc/licenses.rst`](doc/licenses.rst).
+[MIT License](https://opensource.org/licenses/MIT), see [`doc/licenses.md`](doc/licenses.md).
 However, different licenses and terms of use may apply to the various
-input data, see [`doc/data_sources.rst`](doc/data_sources.rst).
+input data, see [`doc/data_sources.md`](doc/data_sources.md).
diff --git a/doc/Makefile b/doc/Makefile
deleted file mode 100644
index 3937548fb6..0000000000
--- a/doc/Makefile
+++ /dev/null
@@ -1,196 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: MIT
-
-# Makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line.
-SPHINXOPTS    =
-SPHINXBUILD   = sphinx-build
-PAPER         =
-BUILDDIR      = _build
-
-# User-friendly check for sphinx-build
-ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
-$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
-endif
-
-# Internal variables.
-PAPEROPT_a4     = -D latex_paper_size=a4
-PAPEROPT_letter = -D latex_paper_size=letter
-ALLSPHINXOPTS   = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
-# the i18n builder cannot share the environment and doctrees with the others
-I18NSPHINXOPTS  = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
-
-.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest coverage gettext
-
-help:
-	@echo "Please use \`make <target>' where <target> is one of"
-	@echo "  html       to make standalone HTML files"
-	@echo "  dirhtml    to make HTML files named index.html in directories"
-	@echo "  singlehtml to make a single large HTML file"
-	@echo "  pickle     to make pickle files"
-	@echo "  json       to make JSON files"
-	@echo "  htmlhelp   to make HTML files and a HTML help project"
-	@echo "  qthelp     to make HTML files and a qthelp project"
-	@echo "  applehelp  to make an Apple Help Book"
-	@echo "  devhelp    to make HTML files and a Devhelp project"
-	@echo "  epub       to make an epub"
-	@echo "  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
-	@echo "  latexpdf   to make LaTeX files and run them through pdflatex"
-	@echo "  latexpdfja to make LaTeX files and run them through platex/dvipdfmx"
-	@echo "  text       to make text files"
-	@echo "  man        to make manual pages"
-	@echo "  texinfo    to make Texinfo files"
-	@echo "  info       to make Texinfo files and run them through makeinfo"
-	@echo "  gettext    to make PO message catalogs"
-	@echo "  changes    to make an overview of all changed/added/deprecated items"
-	@echo "  xml        to make Docutils-native XML files"
-	@echo "  pseudoxml  to make pseudoxml-XML files for display purposes"
-	@echo "  linkcheck  to check all external links for integrity"
-	@echo "  doctest    to run all doctests embedded in the documentation (if enabled)"
-	@echo "  coverage   to run coverage check of the documentation (if enabled)"
-
-clean:
-	rm -rf $(BUILDDIR)/*
-
-html:
-	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
-	@echo
-	@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
-
-dirhtml:
-	$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
-	@echo
-	@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
-
-singlehtml:
-	$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
-	@echo
-	@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
-
-pickle:
-	$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
-	@echo
-	@echo "Build finished; now you can process the pickle files."
-
-json:
-	$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
-	@echo
-	@echo "Build finished; now you can process the JSON files."
-
-htmlhelp:
-	$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
-	@echo
-	@echo "Build finished; now you can run HTML Help Workshop with the" \
-	      ".hhp project file in $(BUILDDIR)/htmlhelp."
-
-qthelp:
-	$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
-	@echo
-	@echo "Build finished; now you can run "qcollectiongenerator" with the" \
-	      ".qhcp project file in $(BUILDDIR)/qthelp, like this:"
-	@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/PyPSA.qhcp"
-	@echo "To view the help file:"
-	@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/PyPSA.qhc"
-
-applehelp:
-	$(SPHINXBUILD) -b applehelp $(ALLSPHINXOPTS) $(BUILDDIR)/applehelp
-	@echo
-	@echo "Build finished. The help book is in $(BUILDDIR)/applehelp."
-	@echo "N.B. You won't be able to view it unless you put it in" \
-	      "~/Library/Documentation/Help or install it in your application" \
-	      "bundle."
-
-devhelp:
-	$(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp
-	@echo
-	@echo "Build finished."
-	@echo "To view the help file:"
-	@echo "# mkdir -p $$HOME/.local/share/devhelp/PyPSA"
-	@echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/PyPSA"
-	@echo "# devhelp"
-
-epub:
-	$(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub
-	@echo
-	@echo "Build finished. The epub file is in $(BUILDDIR)/epub."
-
-latex:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo
-	@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
-	@echo "Run \`make' in that directory to run these through (pdf)latex" \
-	      "(use \`make latexpdf' here to do that automatically)."
-
-latexpdf:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo "Running LaTeX files through pdflatex..."
-	$(MAKE) -C $(BUILDDIR)/latex all-pdf
-	@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
-
-latexpdfja:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo "Running LaTeX files through platex and dvipdfmx..."
-	$(MAKE) -C $(BUILDDIR)/latex all-pdf-ja
-	@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
-
-text:
-	$(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text
-	@echo
-	@echo "Build finished. The text files are in $(BUILDDIR)/text."
-
-man:
-	$(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man
-	@echo
-	@echo "Build finished. The manual pages are in $(BUILDDIR)/man."
-
-texinfo:
-	$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
-	@echo
-	@echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo."
-	@echo "Run \`make' in that directory to run these through makeinfo" \
-	      "(use \`make info' here to do that automatically)."
-
-info:
-	$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
-	@echo "Running Texinfo files through makeinfo..."
-	make -C $(BUILDDIR)/texinfo info
-	@echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo."
-
-gettext:
-	$(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale
-	@echo
-	@echo "Build finished. The message catalogs are in $(BUILDDIR)/locale."
-
-changes:
-	$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
-	@echo
-	@echo "The overview file is in $(BUILDDIR)/changes."
-
-linkcheck:
-	$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
-	@echo
-	@echo "Link check complete; look for any errors in the above output " \
-	      "or in $(BUILDDIR)/linkcheck/output.txt."
-
-doctest:
-	$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
-	@echo "Testing of doctests in the sources finished, look at the " \
-	      "results in $(BUILDDIR)/doctest/output.txt."
-
-coverage:
-	$(SPHINXBUILD) -b coverage $(ALLSPHINXOPTS) $(BUILDDIR)/coverage
-	@echo "Testing of coverage in the sources finished, look at the " \
-	      "results in $(BUILDDIR)/coverage/python.txt."
-
-xml:
-	$(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml
-	@echo
-	@echo "Build finished. The XML files are in $(BUILDDIR)/xml."
-
-pseudoxml:
-	$(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml
-	@echo
-	@echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml."
diff --git a/doc/conf.py b/doc/conf.py
deleted file mode 100644
index 4baba1b9c1..0000000000
--- a/doc/conf.py
+++ /dev/null
@@ -1,365 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: MIT
-
-# -*- coding: utf-8 -*-
-#
-# PyPSA documentation build configuration file, created by
-# sphinx-quickstart on Tue Jan  5 10:04:42 2016.
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import os
-import sys
-
-import requests
-
-
-def get_basemap(app):
-    url = "https://zenodo.org/records/14144752/files/map.html?download=1"
-    response = requests.get(url)
-
-    build_path = os.path.join(app.builder.outdir, "base-network-raw.html")
-    with open(build_path, "w") as f:
-        f.write(response.text)
-
-
-def setup(app):
-    app.connect("builder-inited", get_basemap)
-
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath("../scripts"))
-sys.path.insert(0, os.path.abspath(".."))
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-# needs_sphinx = '1.0'
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    "sphinx.ext.autodoc",
-    #'sphinx.ext.autosummary',
-    "myst_parser",
-    # "sphinx.ext.autosectionlabel",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.todo",
-    "sphinx.ext.mathjax",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.graphviz",
-    "sphinxcontrib.bibtex",
-    #'sphinx.ext.pngmath',
-    #'sphinxcontrib.tikz',
-    #'rinoh.frontend.sphinx',
-    "sphinx.ext.imgconverter",  # for SVG conversion
-    "sphinx-jsonschema",
-    "sphinx_design",
-]
-
-autodoc_mock_imports = [
-    "atlite",
-    "snakemake",
-    "rioxarray",
-    "country_converter",
-    "tabula",
-    "memory_profiler",
-    "powerplantmatching",
-    "rasterio",
-    "dask.distributed",
-    "pydantic",
-    "ruamel",
-]
-
-autodoc_default_flags = ["members"]
-autosummary_generate = True
-
-bibtex_bibfiles = ["publications.bib"]
-bibtex_default_style = "unsrt"
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-# source_suffix = ['.rst', '.md']
-source_suffix = ".rst"
-
-# The encoding of source files.
-# source_encoding = 'utf-8-sig'
-
-# The master toctree document.
-master_doc = "index"
-
-# General information about the project.
-project = "PyPSA-Eur"
-copyright = "PyPSA-Eur Contributors"
-author = "PyPSA-Eur Contributors"
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The short X.Y version.
-version = "v2026.02.0"
-# The full version, including alpha/beta/rc tags.
-release = version + ""
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = "en"
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-# today = ''
-# Else, today_fmt is used as the format for a strftime call.
-# today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = ["_build"]
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-# default_role = None
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-# add_function_parentheses = True
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-# add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-# show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# A list of ignored prefixes for module index sorting.
-# modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-# keep_warnings = False
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = True
-
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = "sphinx_book_theme"
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {
-    "repository_url": "https://github.com/pypsa/pypsa-eur",
-    "use_repository_button": True,
-    "show_navbar_depth": 1,
-}
-
-
-# Add any paths that contain custom themes here, relative to this directory.
-# html_theme_path = []
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-html_title = "PyPSA-Eur"
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-html_short_title = "PyPSA-Eur"
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-html_logo = "img/logo.svg"
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-# html_favicon = None
-
-# These folders are copied to the documentation's HTML output
-# html_static_path = ["_static"]
-
-# These paths are either relative to html_static_path
-# or fully qualified paths (eg. https://...)
-# html_css_files = ["theme_overrides.css"]
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-# html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-# html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-# html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-# html_sidebars = {}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-# html_additional_pages = {}
-
-# If false, no module index is generated.
-# html_domain_indices = True
-
-# If false, no index is generated.
-# html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-# html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-# html_show_sourcelink = True
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-# html_show_sphinx = True
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-# html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-# html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-# html_file_suffix = None
-
-# Language to be used for generating the HTML full-text search index.
-# Sphinx supports the following languages:
-#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
-#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-# html_search_language = 'en'
-
-# A dictionary with options for the search language support, empty by default.
-# Now only 'ja' uses this config value
-# html_search_options = {'type': 'default'}
-
-# The name of a javascript file (relative to the configuration directory) that
-# implements a search results scorer. If empty, the default will be used.
-# html_search_scorer = 'scorer.js'
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "PyPSAEurdoc"
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-    # The paper size ('letterpaper' or 'a4paper').
-    #'papersize': 'letterpaper',
-    # The font size ('10pt', '11pt' or '12pt').
-    #'pointsize': '10pt',
-    # Additional stuff for the LaTeX preamble.
-    #'preamble': '',
-    # Latex figure (float) alignment
-    #'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-latex_documents = [
-    (master_doc, "PyPSA-Eur.tex", "PyPSA-Eur Documentation", "author", "manual"),
-]
-
-
-# Added for rinoh http://www.mos6581.org/rinohtype/quickstart.html
-rinoh_documents = [
-    (
-        master_doc,  # top-level file (index.rst)
-        "PyPSA-Eur",  # output (target.pdf)
-        "PyPSA-Eur Documentation",  # document title
-        "author",
-    )
-]  # document author
-
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-# latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-# latex_use_parts = False
-
-# If true, show page references after internal links.
-# latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-# latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-# latex_appendices = []
-
-# If false, no module index is generated.
-# latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, "pypsa-eur", "PyPSA-Eur Documentation", [author], 1)]
-
-# If true, show URL addresses after external links.
-# man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-    (
-        master_doc,
-        "PyPSA-Eur",
-        "PyPSA-Eur Documentation",
-        author,
-        "PyPSA-Eur",
-        "One line description of project.",
-        "Miscellaneous",
-    ),
-]
-
-# Documents to append as an appendix to all manuals.
-# texinfo_appendices = []
-
-# If false, no module index is generated.
-# texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-# texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-# texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "https://docs.python.org/": ("https://docs.python.org/3", None),
-}
diff --git a/doc/configuration.md b/doc/configuration.md
index ae4bfb2cdc..1c513e1205 100644
--- a/doc/configuration.md
+++ b/doc/configuration.md
@@ -1,412 +1,551 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _config:
 
-##########################################
-Configuration
-##########################################
+<a id="config"></a>
+
+# 
+# Configuration
 
 PyPSA-Eur has several configuration options which are documented in this section.
 
-.. _defaultconfig:
+<a id="defaultconfig"></a>
+
 
-Configuration Files
-===================
+## Configuration Files
 
-Any PyPSA-Eur configuration can be set in a ``.yaml`` file. The default configurations
-``config/config.default.yaml`` and ``config/plotting.default.yaml`` are maintained in
+Any PyPSA-Eur configuration can be set in a `.yaml` file. The default configurations
+`config/config.default.yaml` and `config/plotting.default.yaml` are maintained in
 the repository and cover all the options that are used/ can be set.
 
-To pass your own configuration, you can create a new file, e.g. ``my_config.yaml``,
+To pass your own configuration, you can create a new file, e.g. `my_config.yaml`,
 and specify the options you want to change. They will override the default settings and
 options which are not set, will be inherited from the defaults above.
 
-Another way is to use the ``config/config.yaml`` file, which does not exist in the
+Another way is to use the `config/config.yaml` file, which does not exist in the
 repository and is also not tracked by git. But snakemake will always use this file if
 it exists. This way you can run snakemake with a custom config without having to
 specify the config file each time.
 
 Configuration order of precedence is as follows:
-1. Command line options specified with ``--config`` (optional)
-2. Custom configuration file specified with ``--configfile`` (optional)
-3. The ``config/config.yaml`` file (optional)
-4. The default configuration files ``config/config.default.yaml`` and ``config/plotting.default.yaml``
+1. Command line options specified with `--config` (optional)
+2. Custom configuration file specified with `--configfile` (optional)
+3. The `config/config.yaml` file (optional)
+4. The default configuration files `config/config.default.yaml` and `config/plotting.default.yaml`
 
-To use your custom configuration file, you need to pass it to the ``snakemake`` command
-using the ``--configfile`` option:
+To use your custom configuration file, you need to pass it to the `snakemake` command
+using the `--configfile` option:
 
-.. code:: console
+```console
+$ snakemake -call --configfile my_config.yaml
+```
 
-    $ snakemake -call --configfile my_config.yaml
 
-.. warning::
-
-    In a previous version of PyPSA-Eur (``<=2025.04.0``), a full copy of the created config
-    was stored in the ``config/config.yaml`` file. This is no longer the case. If the
+!!! warning
+    In a previous version of PyPSA-Eur (`<=2025.04.0`), a full copy of the created config
+    was stored in the `config/config.yaml` file. This is no longer the case. If the
     file exists, snakemake will use it, but no new copy will be created.
 
 
-.. _version_cf:
+## `version` {#version_cf}
 
-``version``
-===========
+Version of PyPSA-Eur. Descriptive only.
 
-.. jsonschema:: ../config/schema.default.json#/properties/version
-   :lift_description:
-   :hide_key: /**/additionalProperties
+- **Type:** string
+- **Default:** `v2026.02.0`
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: version:
-   :end-before: # docs
+```yaml
+{{ yaml_section("version") }}
+```
+
 
-.. _tutorial_cf:
+## `tutorial` {#tutorial_cf}
 
-``tutorial``
-============
+Switch to retrieve the tutorial data set instead of the full data set.
 
-.. jsonschema:: ../config/schema.default.json#/properties/tutorial
-   :lift_description:
-   :hide_key: /**/additionalProperties
+- **Type:** boolean
+- **Default:** `false`
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: tutorial:
-   :end-before: # docs
+```yaml
+{{ yaml_section("tutorial") }}
+```
 
-.. _logging_cf:
 
-``logging``
-===========
+## `logging` {#logging_cf}
 
-.. jsonschema:: ../config/schema.default.json#/$defs/LoggingConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for top level `logging` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `level` | enum (`DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`) | `INFO` | Restrict console outputs to all infos, warning or errors only |
+| `format` | string | `%(levelname)s:%(name)s:%(message)s` | Custom format for log messages. See [LogRecord ](https://docs.python.org/3/library/logging.html#logging.LogRecord) attributes. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: logging:
-   :end-before: # docs
+```yaml
+{{ yaml_section("logging") }}
+```
 
-.. _remote_cf:
 
-``remote``
-==========
+## `remote` {#remote_cf}
 
 "Remote" indicates the address of a server used for data exchange, often for clusters and data pushing/pulling.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RemoteConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for top level `remote` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `ssh` | string | `""` | Optionally specify the SSH of a remote cluster to be synchronized. |
+| `path` | string | `""` | Optionally specify the file path within the remote cluster to be synchronized. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: remote:
-   :end-before: # docs
+```yaml
+{{ yaml_section("remote") }}
+```
 
-.. _run_cf:
 
-``run``
-=============
+## `run` {#run_cf}
 
 It is common conduct to analyse energy system optimisation models for **multiple scenarios** for a variety of reasons,
 e.g. assessing their sensitivity towards changing the temporal and/or geographical resolution or investigating how
 investment changes as more ambitious greenhouse-gas emission reduction targets are applied.
 
-The ``run`` section is used for running and storing scenarios with different configurations which are not covered by :ref:`wildcards`.
+The `run` section is used for running and storing scenarios with different configurations which are not covered by [wildcards](#wildcards).
 It determines the path at which resources, networks and results are stored.
 Therefore the user can run different configurations within the same directory.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RunConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for top level `run` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `prefix` | string | `""` | Prefix for the run name which is used as a top-layer directory name in the results and resources folders. |
+| `name` | string \| list of string | `""` | Specify a name for your run. Results will be stored under this name. If `scenario: enable:` is set to `true`, the name must contain a subset of scenario names defined in `scenario: file:`. If the name is 'all', all defined scenarios will be run. |
+| `scenarios` | any |  | Configuration for `run.scenarios` level. |
+| ↳ `enable` | boolean | `false` | Switch to select whether workflow should generate scenarios based on `file`. |
+| ↳ `file` | string | `config/scenarios.yaml` | Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, `run: scenarios` has to be set to `true` and `run: name` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the `config/create_scenarios.py` script in the `config` directory. |
+| `disable_progressbar` | boolean | `false` | Switch to select whether progressbar should be disabled. |
+| `shared_resources` | any |  | Configuration for `run.shared_resources` level. |
+| ↳ `policy` | boolean \| string | `false` | Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared. |
+| ↳ `exclude` | list of string |  | For the case shared_resources=base, specify additional files that should not be shared across runs. |
+| `use_shadow_directory` | boolean | `false` | Set to `true` (default) if snakemake shadow directories (`shallow`) should be used. Set to `false` if problems occur. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: run:
-   :end-before: # docs
+```yaml
+{{ yaml_section("run") }}
+```
+
+
+## `foresight` {#foresight_cf}
 
-.. _foresight_cf:
+[planning_horizons](#planning_horizons) in scenario has to be set.
 
-``foresight``
-=============
+Configuration for `foresight` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ForesightConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+- **Type:** enum (`overnight`, `myopic`, `perfect`)
+- **Default:** `overnight`
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: foresight:
-   :end-before: # docs
+```yaml
+{{ yaml_section("foresight") }}
+```
 
-.. note::
+!!! note
     If you use myopic or perfect foresight, the planning horizon in
-    :ref:`planning_horizons` in scenario has to be set.
+    [planning_horizons](#planning_horizons) in scenario has to be set.
 
-.. _scenario:
 
-``scenario``
-============
+## `scenario` {#scenario}
 
-The ``scenario`` section is an extraordinary section of the config file
-that is strongly connected to the :ref:`wildcards` and is designed to
+The `scenario` section is an extraordinary section of the config file
+that is strongly connected to the [wildcards](#wildcards) and is designed to
 facilitate running multiple scenarios through a single command
 
-.. code:: console
 
-   # for electricity-only studies
+```console
+# for electricity-only studies
    $ snakemake -call solve_elec_networks
 
    # for sector-coupling studies
    $ snakemake -call solve_sector_networks
 
 For each wildcard, a **list of values** is provided. The rule
-``solve_all_elec_networks`` will trigger the rules for creating
-``results/networks/base_s_{clusters}_elec_{opts}.nc`` for **all
+```
+
+`solve_all_elec_networks` will trigger the rules for creating
+`results/networks/base_s_{clusters}_elec_{opts}.nc` for **all
 combinations** of the provided wildcard values as defined by Python's
-`itertools.product(...)
-<https://docs.python.org/2/library/itertools.html#itertools.product>`__ function
-that snakemake's `expand(...) function
-<https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#targets>`__
+[itertools.product(...)
+](https://docs.python.org/2/library/itertools.html#itertools.product) function
+that snakemake's [expand(...) function
+](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#targets)
 uses.
 
 An exemplary dependency graph (starting from the simplification rules) then looks like this:
 
-.. image:: img/scenarios.png
+Configuration for top level `scenario` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ScenarioConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `clusters` | list of integer \| enum (`adm`, `all`) |  | List of `{clusters}` wildcards to run. Use 'adm' for administrative clustering mode, 'all' for all nodes. |
+| `opts` | list of string |  | List of `{opts}` wildcards to run. |
+| `sector_opts` | list of string |  | List of `{sector_opts}` wildcards to run. |
+| `planning_horizons` | list of integer |  | List of `{planning_horizon}` wildcards to run. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: # docs
+```yaml
+{{ yaml_section("scenario") }}
+```
+
 
-.. _countries:
+## `countries` {#countries}
 
-``countries``
-=============
+Configuration for `countries` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/CountriesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+- **Type:** list of string
+- **Default:** `[...]`
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: countries:
-   :end-before: # docs
+```yaml
+{{ yaml_section("countries") }}
+```
 
-.. _snapshots_cf:
 
-``snapshots``
-=============
+## `snapshots` {#snapshots_cf}
 
-Specifies the temporal range to build an energy system model for as arguments to `pandas.date_range <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html>`__
+Specifies the temporal range to build an energy system model for as arguments to [pandas.date_range ](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html)
 
-.. jsonschema:: ../config/schema.default.json#/$defs/SnapshotsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for `snapshots` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `start` | string \| list of string | `2013-01-01` | Left bound of date range. |
+| `end` | string \| list of string | `2014-01-01` | Right bound of date range. |
+| `inclusive` | enum (`left`, `right`, `both`) \| null | `left` | Make the time interval closed to the `left`, `right`, or both sides `both` or neither side `None`. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: snapshots:
-   :end-before: # docs
+```yaml
+{{ yaml_section("snapshots") }}
+```
 
-.. _enable_cf:
 
-``enable``
-==========
+## `enable` {#enable_cf}
 
 Switches for some rules and optional features.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/EnableConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
-   :end-before: # docs
-
-.. _CO2_budget_cf:
-
-``co2 budget``
-==============
+Configuration for `enable` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/Co2BudgetConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `drop_leap_day` | boolean | `true` | Switch to drop February 29 from all time-dependent data in leap years. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: co2_budget:
-   :end-before: # docs
+```yaml
+{{ yaml_section("enable") }}
+```
 
-.. note::
-    this parameter is over-ridden if ``Co2Lx`` or ``cb`` is set in
-    sector_opts.
 
-.. _electricity_cf:
+## `co2 budget` {#CO2_budget_cf}
 
-``electricity``
-===============
+sector_opts.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ElectricityConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for `co2_budget` settings.
 
-**YAML Syntax**
+- **Type:** dict (str -> number)
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: electricity:
-   :end-before: # docs
+**YAML Syntax**
 
-.. _atlite_cf:
+```yaml
+{{ yaml_section("co2_budget") }}
+```
 
-``atlite``
-==========
+!!! note
+    this parameter is over-ridden if `Co2Lx` or `cb` is set in
+    sector_opts.
 
-Define and specify the ``atlite.Cutout`` used for calculating renewable potentials and time-series. All options except for ``features`` are directly used as `cutout parameters <https://atlite.readthedocs.io/en/latest/ref_api.html#cutout>`__.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/AtliteConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+## `electricity` {#electricity_cf}
+
+Configuration for `electricity` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `voltages` | list of number |  | Voltage levels to consider. |
+| `base_network` | enum (`entsoegridkit`, `osm`, `tyndp`) | `osm` | Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract), OpenStreetMap (OSM), or TYNDP. |
+| `gaslimit_enable` | boolean | `false` | Add an overall absolute gas limit configured in `electricity: gaslimit`. |
+| `gaslimit` | number \| boolean | `false` | Global gas usage limit. |
+| `co2limit_enable` | boolean | `false` | Add an overall absolute carbon-dioxide emissions limit configured in `electricity: co2limit` in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks. |
+| `co2limit` | number | `77500000.0` | Cap on total annual system carbon dioxide emissions. |
+| `co2base` | number | `1487000000.0` | Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in `{opts}` wildcard. |
+| `operational_reserve` | any |  | Configuration for `electricity.operational_reserve` settings. |
+| ↳ `activate` | boolean | `false` | Whether to take operational reserve requirements into account during optimisation. |
+| ↳ `epsilon_load` | number | `0.02` | share of total load. |
+| ↳ `epsilon_vres` | number | `0.02` | share of total renewable supply. |
+| ↳ `contingency` | number | `4000` | Fixed reserve capacity (MW). |
+| `max_hours` | any |  | Configuration for `electricity.max_hours` settings. |
+| ↳ `battery` | number | `6` | Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `li-ion` | number | `6` | Maximum state of charge capacity of the lithium-ion storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `lfp` | number | `6` | Maximum state of charge capacity of the lithium-ion-LFP storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `vanadium` | number | `10` | Maximum state of charge capacity of the vanadium-redox-flow storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `lair` | number | `12` | Maximum state of charge capacity of the liquid-air storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `pair` | number | `24` | Maximum state of charge capacity of the compressed-air-adiabatic storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `iron-air` | number | `100` | Maximum state of charge capacity of the iron-air storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| ↳ `H2` | number | `168` | Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| `extendable_carriers` | any |  | Configuration for `electricity.extendable_carriers` settings. |
+| ↳ `Generator` | list of string |  | Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0. |
+| ↳ `StorageUnit` | list of string |  | Adds extendable storage units at every node/bus after clustering without capacity limits and with zero initial capacity. Supported technologies include battery, H2, li-ion, vanadium, lfp, lair, pair, and iron-air. |
+| ↳ `Store` | list of string |  | Adds extendable storage units at every node/bus after clustering without capacity limits and with zero initial capacity. Supported technologies include battery, H2, li-ion, vanadium, lfp, lair, pair, and iron-air. |
+| ↳ `Link` | list of string |  | Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`. |
+| `powerplants_filter` | string \| boolean | `(DateOut > 2025 or DateOut != DateOut) and (DateIn < 2026 or DateIn != DateIn)` | Filter query for the default powerplant database. |
+| `custom_powerplants` | string \| boolean | `false` | Filter query for the custom powerplant database. |
+| `everywhere_powerplants` | list of string |  | List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with `extendable_carriers` to allow for building conventional powerplants irrespective of existing locations. |
+| `conventional_carriers` | list of string |  | List of conventional power plants to include in the model from `resources/powerplants_s_{clusters}.csv`. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound. |
+| `renewable_carriers` | list of string |  | List of renewable generators to include in the model. |
+| `estimate_renewable_capacities` | any |  | Configuration for `electricity.estimate_renewable_capacities` settings. |
+| ↳ `enable` | boolean | `true` | Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`. |
+| ↳ `from_powerplantmatching` | boolean | `true` | Add renewable capacities from powerplantmatching dataset. |
+| ↳ `from_irenastat` | boolean | `false` | Supplement powerplantmatching dataset with heuristics based on country-level renewable capacities from IRENA (IRENASTAT). |
+| ↳ `year` | integer | `2024` | Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year. |
+| ↳ `expansion_limit` | number \| boolean | `false` | Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used. |
+| ↳ `technology_mapping` | any |  | Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings. |
+| ↳↳ `Offshore` | string | `offwind-ac` | PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM). |
+| ↳↳ `Onshore` | string | `onwind` | PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM). |
+| ↳↳ `PV` | string | `solar` | PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM). |
+| `estimate_battery_capacities` | boolean | `false` | Enable estimation of existing battery storage capacities. |
+| `autarky` | any |  | Configuration for `electricity.autarky` settings. |
+| ↳ `enable` | boolean | `false` | Require each node to be autarkic by removing all lines and links. |
+| ↳ `by_country` | boolean | `false` | Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled. |
+| `transmission_limit` | string | `vopt` | Limit on transmission expansion. The first part can be `v` (for setting a limit on line volume) or `c` (for setting a limit on line cost). The second part can be `opt` or a float bigger than one (e.g. 1.25). If `opt` is chosen line expansion is optimised according to its capital cost (where the choice `v` only considers overhead costs for HVDC transmission lines, while `c` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting `v1.25` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting `c1.25` will allow to build a transmission network that costs no more than 25 % more than the current system. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: atlite:
-   :end-before: # docs
+```yaml
+{{ yaml_section("electricity") }}
+```
 
-.. _renewable_cf:
 
-``renewable``
-=============
-
-``onwind``
-----------
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/onwind
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
+## `atlite` {#atlite_cf}
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: renewable:
-   :end-before: "offwind-ac":
+Define and specify the `atlite.Cutout` used for calculating renewable potentials and time-series. All options except for `features` are directly used as [cutout parameters ](https://atlite.readthedocs.io/en/latest/ref_api.html#cutout).
 
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
-   area is available for installation of wind generators due to competing land use and likely public
-   acceptance issues.
+Configuration for `atlite` settings.
 
-.. note::
-   The default choice for corine ``grid_codes`` was based on Scholz, Y. (2012). Renewable energy based electricity supply at low costs
-   development of the REMix model and application for Europe. ( p.42 / p.28)
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `default_cutout` | string \| list of string | `europe-2013-sarah3-era5` | Defines a default cutout. Can refer to a single cutout or a list of cutouts. |
+| `nprocesses` | integer | `1` | Number of parallel processes in cutout preparation. |
+| `show_progress` | boolean | `false` | Whether progressbar for atlite conversion processes should be shown. False saves time. |
+| `plot_availability_matrix` | boolean | `false` | Whether to plot the landuse availability matrix. |
+| `cutouts` | dict (str -> any) |  | Named cutout configurations. |
 
-``offwind-x``
---------------
+**YAML Syntax**
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-ac
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("atlite") }}
+```
+
+
+## `renewable` {#renewable_cf}
+
+### `onwind`
+
+Configuration for onshore wind.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `resource` | any |  | Configuration for wind resource settings. |
+| ↳ `method` | string | `wind` | A superordinate technology type. |
+| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
+| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
+| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
+| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
+| `capacity_per_sqkm` | number | `3` | Allowable density of wind turbine placement. |
+| `correction_factor` | number | `1.0` | Correction factor for capacity factor time series. |
+| `corine` | boolean \| any |  | CORINE land cover configuration. |
+| ↳ `grid_codes` | list of integer |  | Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement. |
+| ↳ `distance` | number | `1000` | Distance in meters to keep from areas specified in `distance_grid_codes`. |
+| ↳ `distance_grid_codes` | list of integer |  | Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`. |
+| `luisa` | boolean \| object | `false` | LUISA land cover configuration. |
+| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
+| `excluder_resolution` | number | `100` | Resolution in meters on which to perform geographical eligibility analysis. |
+| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+
+Configuration for offshore wind.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `resource` | any |  | Configuration for wind resource settings. |
+| ↳ `method` | string | `wind` | A superordinate technology type. |
+| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
+| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
+| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
+| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
+| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
+| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
+| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
+| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
+| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_depth` | number \| null |  | Minimum water depth in meters. |
+| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
+| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+
+Configuration for offshore wind.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `resource` | any |  | Configuration for wind resource settings. |
+| ↳ `method` | string | `wind` | A superordinate technology type. |
+| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
+| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
+| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
+| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
+| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
+| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
+| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
+| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
+| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_depth` | number \| null |  | Minimum water depth in meters. |
+| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
+| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+
+Configuration for offshore wind.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `resource` | any |  | Configuration for wind resource settings. |
+| ↳ `method` | string | `wind` | A superordinate technology type. |
+| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
+| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
+| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
+| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
+| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
+| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
+| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
+| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
+| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
+| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_depth` | number \| null |  | Minimum water depth in meters. |
+| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
+| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
+| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+
+Configuration for solar PV.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `resource` | any |  | Configuration for solar resource settings. |
+| ↳ `method` | string | `pv` | A superordinate technology type. |
+| ↳ `panel` | string \| dict (str -> string) | `CSi` | Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available. |
+| ↳ `orientation` | dict (str -> number) |  | Panel orientation with slope and azimuth. |
+| ↳ `tracking` | string \| null |  | Tracking type (e.g., 'horizontal'). |
+| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
+| `capacity_per_sqkm` | number | `5.1` | Allowable density of solar panel placement. |
+| `correction_factor` | number | `1.0` | A correction factor for the capacity factor (availability) time series. |
+| `corine` | boolean \| list of integer |  | Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement. |
+| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement. |
+| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
+| `excluder_resolution` | number | `100` | Resolution in meters on which to perform geographical eligibility analysis. |
+| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+
+Configuration for hydropower.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| `carriers` | list of string |  | Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams. |
+| `PHS_max_hours` | number | `6` | Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| `hydro_max_hours` | string \| number | `energy_capacity_totals_by_country` | Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
+| `flatten_dispatch` | boolean | `false` | Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`. |
+| `flatten_dispatch_buffer` | number | `0.2` | If `flatten_dispatch` is true, specify the value added above the average capacity factor. |
+| `clip_min_inflow` | number | `1.0` | To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero. |
+| `eia_norm_year` | boolean \| integer | `false` | To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year. |
+| `eia_correct_by_capacity` | boolean | `false` | Correct EIA annual hydro generation data by installed capacity. |
+| `eia_approximate_missing` | boolean | `false` | Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: "offwind-ac":
-   :end-before: solar:
+```yaml
+{{ yaml_section("renewable") }}
+```
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-dc
-   :lift_description:
-   :hide_key: /**/additionalProperties
+**YAML Syntax**
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-float
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("renewable.offwind-ac") }}
+```
 
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
-   area is available for installation of wind generators due to competing land use and likely public
-   acceptance issues.
+**YAML Syntax**
 
-.. note::
-   Notes on ``correction_factor``. Correction due to proxy for wake losses
-   from 10.1016/j.energy.2018.08.153
-   until done more rigorously in #153
+```yaml
+{{ yaml_section("renewable.solar") }}
+```
 
-``solar``
----------------
+**YAML Syntax**
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/solar
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("renewable.hydro") }}
+```
 
-**YAML Syntax**
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
+       area is available for installation of wind generators due to competing land use and likely public
+       acceptance issues.
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   solar:
-   :end-before:   hydro:
+!!! note
+    The default choice for corine `grid_codes` was based on Scholz, Y. (2012). Renewable energy based electricity supply at low costs
+    development of the REMix model and application for Europe. ( p.42 / p.28)
 
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels.
-   Correction factor determined by comparing uncorrected area-weighted full-load hours to those
-   published in Supplementary Data to Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
-   sector -- The economic potential of photovoltaics and concentrating solar
-   power." Applied Energy 135 (2014): 704-720.
-   This correction factor of 0.854337 may be in order if using reanalysis data.
-   for discussion refer to this <issue https://github.com/PyPSA/pypsa-eur/issues/285>
 
-``hydro``
----------------
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
+       area is available for installation of wind generators due to competing land use and likely public
+       acceptance issues.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/hydro
-   :lift_description:
-   :hide_key: /**/additionalProperties
+!!! note
+    Notes on `correction_factor`. Correction due to proxy for wake losses
+    from 10.1016/j.energy.2018.08.153
+    until done more rigorously in #153
 
-**YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   hydro:
-   :end-before: # docs
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels.
+       Correction factor determined by comparing uncorrected area-weighted full-load hours to those
+       published in Supplementary Data to Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
+       sector -- The economic potential of photovoltaics and concentrating solar
+       power." Applied Energy 135 (2014): 704-720.
+       This correction factor of 0.854337 may be in order if using reanalysis data.
+       for discussion refer to this https://github.com/PyPSA/pypsa-eur/issues/285
 
-.. _conventional_cf:
 
-``conventional``
-================
+## `conventional` {#conventional_cf}
 
 Define additional generator attribute for conventional carrier types. If a
 scalar value is given it is applied to all generators. However if a string
@@ -415,140 +554,160 @@ with country specific values. Then, the values are read in and applied to all
 generators of the given carrier in the given country. Note that the value(s)
 overwrite the existing values.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ConventionalConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
+Configuration for `conventional` settings.
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   conventional:
-   :end-before: # docs
-
-.. _lines_cf:
-
-``lines``
-=========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/LinesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `unit_commitment` | boolean | `false` | Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file 'unit_commitment.csv'. |
+| `dynamic_fuel_price` | boolean | `false` | Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file 'data/validation/monthly_fuel_price.csv'. |
+| `fuel_price_rolling_window` | integer | `6` | Monthly rolling mean window for fossil fuel prices smoothing. |
+| `nuclear` | dict (str -> string \| number) |  | For any carrier/technology overwrite attributes as listed below. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: lines:
-   :end-before: # docs
+```yaml
+{{ yaml_section("conventional") }}
+```
+
 
-.. _links_cf:
+## `lines` {#lines_cf}
 
-``links``
-=============
+Configuration for `lines` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/LinksConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `types` | dict (str -> string) |  | Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV. |
+| `s_max_pu` | number | `0.7` | Correction factor for line capacities (`s_nom`) to approximate N-1 security and reserve capacity for reactive power flows. |
+| `s_nom_max` | number |  | Global upper limit for the maximum capacity of each extendable line (MW). |
+| `max_extension` | number | `20000` | Upper limit for the extended capacity of each extendable line (MW). |
+| `length_factor` | number | `1.25` | Correction factor to account for the fact that buses are *not* connected by lines through air-line distance. |
+| `reconnect_crimea` | boolean | `true` | Whether to reconnect Crimea to the Ukrainian grid. |
+| `under_construction` | enum (`zero`, `remove`, `keep`) | `keep` | Specifies how to handle lines which are currently under construction. |
+| `dynamic_line_rating` | any |  | Configuration for `lines.dynamic_line_rating` settings. |
+| ↳ `activate` | boolean | `false` | Whether to take dynamic line rating into account. |
+| ↳ `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
+| ↳ `correction_factor` | number | `0.95` | Factor to compensate for overestimation of wind speeds in hourly averaged wind data. |
+| ↳ `max_voltage_difference` | number \| `False` | `false` | Maximum voltage angle difference in degrees or 'false' to disable. |
+| ↳ `max_line_rating` | number \| `False` | `false` | Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: links:
-   :end-before: # docs
+```yaml
+{{ yaml_section("lines") }}
+```
 
-.. _transmission_projects_cf:
 
-``transmission_projects``
-=========================
+## `links` {#links_cf}
 
-Allows to define additional transmission projects that will be added to the base network, e.g., from the TYNDP 2020 dataset. The projects are read in from the CSV files in the subfolder of ``data/transmission_projects/``. New transmission projects, e.g. from TYNDP 2024, can be added in a new subfolder of transmission projects, e.g. ``data/transmission_projects/tyndp2024`` while extending the list of ``transmission_projects`` in the ``config.yaml`` by ``tyndp2024``. The CSV files in the project folder should have the same columns as the CSV files in the template folder ``data/transmission_projects/template``.
+Configuration for `links` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/TransmissionProjectsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `p_max_pu` | number | `1.0` | Correction factor for link capacities `p_nom`. |
+| `p_min_pu` | number | `-1.0` | Correction factor for link capacities `p_nom`. |
+| `p_nom_max` | number |  | Global upper limit for the maximum capacity of each extendable DC link (MW). |
+| `max_extension` | number | `30000` | Upper limit for the extended capacity of each extendable DC link (MW). |
+| `length_factor` | number | `1.25` | Correction factor to account for the fact that buses are *not* connected by links through air-line distance. |
+| `under_construction` | enum (`zero`, `remove`, `keep`) | `keep` | Specifies how to handle lines which are currently under construction. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: transmission_projects:
-   :end-before: # docs
+```yaml
+{{ yaml_section("links") }}
+```
 
-.. _transformers_cf:
 
-``transformers``
-================
+## `transmission_projects` {#transmission_projects_cf}
 
-.. jsonschema:: ../config/schema.default.json#/$defs/TransformersConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Allows to define additional transmission projects that will be added to the base network, e.g., from the TYNDP 2020 dataset. The projects are read in from the CSV files in the subfolder of `data/transmission_projects/`. New transmission projects, e.g. from TYNDP 2024, can be added in a new subfolder of transmission projects, e.g. `data/transmission_projects/tyndp2024` while extending the list of `transmission_projects` in the `config.yaml` by `tyndp2024`. The CSV files in the project folder should have the same columns as the CSV files in the template folder `data/transmission_projects/template`.
+
+Configuration for `transmission_projects` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `enable` | boolean | `true` | Whether to integrate this transmission projects or not. |
+| `include` | any |  | Configuration for `transmission_projects.include` settings. |
+| ↳ `tyndp2020` | boolean | `true` | Whether to integrate the TYNDP 2020 dataset. |
+| ↳ `nep` | boolean | `true` | Whether to integrate the German network development plan dataset. |
+| ↳ `manual` | boolean | `true` | Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file. |
+| `skip` | list of string |  | Type of lines to skip from all transmission projects. Possible values are: `upgraded_lines`, `upgraded_links`, `new_lines`, `new_links`. |
+| `status` | list of string \| dict (str -> list of string) |  | Status to include into the model as list or as dict with name of project and status to include. Possible values for status are `under_construction`, `in_permitting`, `confirmed`, `planned_not_yet_permitted`, `under_consideration`. |
+| `new_link_capacity` | enum (`zero`, `keep`) | `zero` | Whether to set the new link capacity to the provided capacity or set it to zero. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: transformers:
-   :end-before: # docs
+```yaml
+{{ yaml_section("transmission_projects") }}
+```
 
-.. _load_cf:
 
-``load``
-=============
+## `transformers` {#transformers_cf}
 
-.. jsonschema:: ../config/schema.default.json#/$defs/LoadConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+Configuration for `transformers` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `x` | number | `0.1` | Series reactance in per unit (p.u.), using `s_nom` as base power of the transformer. Overwritten if `type` is specified. |
+| `s_nom` | number | `2000.0` | Limit of apparent power which can pass through branch (MVA). Overwritten if `type` is specified. |
+| `type` | string | `""` | Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: load:
-   :end-before: # docs
+```yaml
+{{ yaml_section("transformers") }}
+```
 
-.. _energy_cf:
 
-``energy``
-=======================
+## `load` {#load_cf}
 
-.. note::
-   Only used for sector-coupling studies.
+Configuration for `load` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/EnergyConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `fill_gaps` | any |  | Configuration for `load.fill_gaps` settings. |
+| ↳ `enable` | boolean | `true` | Whether to fill gaps using interpolation for small gaps and time shift for large gaps. |
+| ↳ `interpolate_limit` | integer | `6` | Maximum gap size (consecutive nans) which interpolated linearly. |
+| ↳ `time_shift_for_large_gaps` | string | `1w` | Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings. |
+| `manual_adjustments` | boolean | `true` | Whether to adjust the load data manually according to the function in `manual_adjustment`. |
+| `scaling_factor` | number | `1.0` | Global correction factor for the load time series. |
+| `fixed_year` | integer \| boolean | `false` | To specify a fixed year for the load time series that deviates from the snapshots' year. |
+| `supplement_synthetic` | boolean | `true` | Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928). |
+| `substation_only` | boolean | `true` | Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data. |
+| `distribution_key` | any |  | Configuration for `load.distribution_key` settings. |
+| ↳ `gdp` | number | `0.6` | Weighting factor for the GDP data in the distribution key. |
+| ↳ `population` | number | `0.4` | Weighting factor for the population data in the distribution key. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: energy:
-   :end-before: # docs
+```yaml
+{{ yaml_section("load") }}
+```
+
 
-.. _biomass_cf:
+## `energy` {#energy_cf}
 
-``biomass``
-=======================
+Only used for sector-coupling studies.
 
-.. note::
-   Only used for sector-coupling studies.
+Configuration for `energy` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/BiomassConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `energy_totals_year` | integer | `2023` | The year for the sector energy use. The year must be available in the Eurostat report. |
+| `base_emissions_year` | integer | `1990` | The base year for the sector emissions. See [European Environment Agency (EEA) ](https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16). |
+| `emissions` | string | `CO2` | Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: biomass:
-   :end-before: # docs
+```yaml
+{{ yaml_section("energy") }}
+```
 
-The list of available biomass is given by the category in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`__, namely:
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `biomass` {#biomass_cf}
 
-- Agricultural waste
 - Manure solid, liquid
 - Residues from landscape care
 - Bioethanol barley, wheat, grain maize, oats, other cereals and rye
@@ -566,156 +725,518 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
 - Municipal waste
 - Sludge
 
-.. _solar_thermal_cf:
-
-``solar_thermal``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
+Configuration for `biomass` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/SolarThermalConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `year` | integer | `2030` | Year for which to retrieve biomass potential according to the assumptions of the [JRC ENSPRESO ](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f). |
+| `scenario` | enum (`ENS_Low`, `ENS_Med`, `ENS_High`) | `ENS_Med` | Scenario for which to retrieve biomass potential. The scenario definition can be seen in [ENSPRESO_BIOMASS ](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx). |
+| `classes` | any |  | Configuration for `biomass.classes` settings. |
+| ↳ `solid biomass` | list of string |  | The comodity that are included as solid biomass. |
+| ↳ `not included` | list of string |  | The comodity that are not included as a biomass potential. |
+| ↳ `biogas` | list of string |  | The comodity that are included as biogas. |
+| ↳ `municipal solid waste` | list of string |  | The commodities that are included as municipal solid waste. |
+| `share_unsustainable_use_retained` | dict (str -> number) |  | Share of unsustainable biomass use retained using primary production of Eurostat data as reference. |
+| `share_sustainable_potential_available` | dict (str -> number) |  | Share determines phase-in of ENSPRESO biomass potentials. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: solar_thermal:
-   :end-before: # docs
+```yaml
+{{ yaml_section("biomass") }}
+```
 
-.. _existing_capacities_cf:
+!!! note
+    Only used for sector-coupling studies.
 
-``existing_capacities``
-=======================
+    The list of available biomass is given by the category in [ENSPRESO_BIOMASS](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx), namely:
 
-.. note::
-   Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
+    - Agricultural waste
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ExistingCapacitiesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
 
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: existing_capacities:
-   :end-before: # docs
+## `solar_thermal` {#solar_thermal_cf}
 
-.. _sector_cf:
+Only used for sector-coupling studies.
 
-``sector``
-=======================
+Configuration for `solar_thermal` settings.
 
-.. note::
-   Only used for sector-coupling studies.
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `clearsky_model` | enum (`simple`, `enhanced`) | `simple` | Type of clearsky model for diffuse irradiation. |
+| `orientation` | any |  | Configuration for `solar_thermal.orientation` settings. |
+| ↳ `slope` | number | `45.0` | The angle between the ground and the panels. |
+| ↳ `azimuth` | number | `180.0` | The angle between the North and the sun with panels on the local horizon. |
+| `cutout` | string | `default` | Name of the cutout to use for solar thermal calculations. |
 
-.. dropdown:: Details
+**YAML Syntax**
 
-   .. jsonschema:: ../config/schema.default.json#/$defs/SectorConfig
-      :lift_description:
-      :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("solar_thermal") }}
+```
 
-.. dropdown:: YAML Syntax
+!!! note
+    Only used for sector-coupling studies.
 
-   .. literalinclude:: ../config/config.default.yaml
-      :language: yaml
-      :start-at: sector:
-      :end-before: # docs
 
-.. _industry_cf:
+## `existing_capacities` {#existing_capacities_cf}
 
-``industry``
-=======================
+Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
 
-.. note::
-   Only used for sector-coupling studies.
+Configuration for `existing_capacities` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/IndustryConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `grouping_years_power` | list of integer |  | Intervals to group existing capacities for power. |
+| `grouping_years_heat` | list of integer |  | Intervals to group existing capacities for heat. |
+| `threshold_capacity` | number | `10` | Capacities (MW) of generators and links below threshold are removed during add_existing_capacities. |
+| `default_heating_lifetime` | integer | `20` | Default lifetime for heating technologies (years). |
+| `solar_rooftop_ratio` | number | `0.5` | Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1). |
+| `conventional_carriers` | list of string |  | List of conventional power plants to include in the sectoral network. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
-   :end-before: # docs
-
-.. _costs_cf:
-
-``costs``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/CostsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("existing_capacities") }}
+```
+
+!!! note
+    Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
+
+
+## `sector` {#sector_cf}
+
+Only used for sector-coupling studies.
+
+??? note "Details"
+
+    Configuration for `sector` settings.
+    
+    | Property | Type | Default | Description |
+    |----------|------|---------|-------------|
+    | `transport` | boolean | `true` | Flag to include transport sector. |
+    | `heating` | boolean | `true` | Flag to include heating sector. |
+    | `biomass` | boolean | `true` | Flag to include biomass sector. |
+    | `industry` | boolean | `true` | Flag to include industry sector. |
+    | `shipping` | boolean | `true` | Flag to include shipping sector. |
+    | `aviation` | boolean | `true` | Flag to include aviation sector. |
+    | `agriculture` | boolean | `true` | Flag to include agriculture sector. |
+    | `fossil_fuels` | boolean | `true` | Flag to include imports of fossil fuels. |
+    | `district_heating` | any |  | Configuration for `sector.district_heating` settings. |
+    |   `potential` | number \| dict (str -> number) | `0.6` | Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries. |
+    |   `progress` | dict (str -> number) |  | Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating. |
+    |   `district_heating_loss` | number | `0.15` | Share increase in district heat demand in urban central due to heat losses. |
+    |   `supply_temperature_approximation` | object |  | Supply temperature approximation settings. |
+    |   `ptes` | object |  | Pit thermal energy storage settings. |
+    |   `ates` | object |  | Aquifer thermal energy storage settings. |
+    |   `heat_source_cooling` | number | `6` | Cooling of heat source for heat pumps. |
+    |   `heat_pump_cop_approximation` | object |  | Heat pump COP approximation settings. |
+    |   `limited_heat_sources` | object |  | Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in [Manz et al. 2024 ](https://www.sciencedirect.com/science/article/pii/S0960148124001769). |
+    |   `direct_utilisation_heat_sources` | list of string |  | List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`). |
+    |   `temperature_limited_stores` | list of string |  | List of names for stores used as limited heat sources. |
+    |   `dh_areas` | object |  | District heating areas settings. |
+    | `heat_pump_sources` | dict (str -> list of string) |  | Heat pump sources by area. |
+    | `residential_heat` | any |  | Configuration for `sector.residential_heat` settings. |
+    |   `dsm` | any |  | Configuration for `sector.residential_heat.dsm` settings. |
+    |     `enable` | boolean | `false` | Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage. |
+    |     `direction` | list of string |  | 'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again. |
+    |     `restriction_value` | dict (str -> number) |  | Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility. |
+    |     `restriction_time` | list of integer |  | Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm. |
+    | `cluster_heat_buses` | boolean | `true` | Cluster residential and service heat buses in [prepare_sector_network.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py) to one to save memory. |
+    | `heat_demand_cutout` | string | `default` | Heat demand cutout. |
+    | `bev_dsm_restriction_value` | number | `0.8` | Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in [build_transport_demand.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py). Set to 0 for no restriction on BEV DSM. |
+    | `bev_dsm_restriction_time` | number | `7` | Time at which SOC of BEV has to be dsm_restriction_value. |
+    | `transport_heating_deadband_upper` | number | `20.0` | The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases. |
+    | `transport_heating_deadband_lower` | number | `15.0` | The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases. |
+    | `ICE_lower_degree_factor` | number | `0.375` | Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature. |
+    | `ICE_upper_degree_factor` | number | `1.6` | Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature. |
+    | `EV_lower_degree_factor` | number | `0.98` | Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature. |
+    | `EV_upper_degree_factor` | number | `0.63` | Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature. |
+    | `bev_dsm` | boolean | `true` | Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM). |
+    | `bev_dsm_availability` | number | `0.5` | The share for battery electric vehicles (BEV) that are able to do demand side management (DSM). |
+    | `bev_energy` | number | `0.05` | The average size of battery electric vehicles (BEV) in MWh. |
+    | `bev_charge_efficiency` | number | `0.9` | Battery electric vehicles (BEV) charge and discharge efficiency. |
+    | `bev_charge_rate` | number | `0.011` | The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW. |
+    | `bev_avail_max` | number | `0.95` | The maximum share plugged-in availability for passenger electric vehicles. |
+    | `bev_avail_mean` | number | `0.8` | The average share plugged-in availability for passenger electric vehicles. |
+    | `v2g` | boolean | `true` | Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`. |
+    | `land_transport_fuel_cell_share` | dict (str -> number) |  | The share of vehicles that uses fuel cells in a given year. |
+    | `land_transport_electric_share` | dict (str -> number) |  | The share of vehicles that uses electric vehicles (EV) in a given year. |
+    | `land_transport_ice_share` | dict (str -> number) |  | The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE. |
+    | `transport_electric_efficiency` | number | `53.19` | The conversion efficiencies of electric vehicles in transport. |
+    | `transport_fuel_cell_efficiency` | number | `30.003` | The H2 conversion efficiencies of fuel cells in transport. |
+    | `transport_ice_efficiency` | number | `16.0712` | The oil conversion efficiencies of internal combustion engine (ICE) in transport. |
+    | `agriculture_machinery_electric_share` | number | `0.5` | The share for agricultural machinery that uses electricity. |
+    | `agriculture_machinery_oil_share` | number | `0.5` | The share for agricultural machinery that uses oil. |
+    | `agriculture_machinery_fuel_efficiency` | number | `0.7` | The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs. |
+    | `agriculture_machinery_electric_efficiency` | number | `0.3` | The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs. |
+    | `shipping_hydrogen_liquefaction` | boolean | `false` | Whether to include liquefaction costs for hydrogen demand in shipping. |
+    | `shipping_hydrogen_share` | dict (str -> number) |  | The share of ships powered by hydrogen in a given year. |
+    | `shipping_methanol_share` | dict (str -> number) |  | The share of ships powered by methanol in a given year. |
+    | `shipping_oil_share` | dict (str -> number) |  | The share of ships powered by oil in a given year. |
+    | `shipping_methanol_efficiency` | number | `0.46` | The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the [IEA ](https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf). |
+    | `shipping_oil_efficiency` | number | `0.4` | The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011. |
+    | `aviation_demand_factor` | number | `1.0` | The proportion of demand for aviation compared to today's consumption. |
+    | `HVC_demand_factor` | number | `1.0` | The proportion of demand for high-value chemicals compared to today's consumption. |
+    | `time_dep_hp_cop` | boolean | `true` | Consider the time dependent coefficient of performance (COP) of the heat pump. |
+    | `heat_pump_sink_T_individual_heating` | number | `55.0` | The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings. |
+    | `reduce_space_heat_exogenously` | boolean | `true` | Influence on space heating demand by a certain factor (applied before losses in district heating). |
+    | `reduce_space_heat_exogenously_factor` | dict (str -> number) |  | A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the [Eurocalc Homes and buildings decarbonization scenario ](http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221). |
+    | `retrofitting` | any |  | Configuration for `sector.retrofitting` settings. |
+    |   `retro_endogen` | boolean | `false` | Add retrofitting as an endogenous system which co-optimise space heat savings. |
+    |   `cost_factor` | number | `1.0` | Weight costs for building renovation. |
+    |   `interest_rate` | number | `0.04` | The interest rate for investment in building components. |
+    |   `annualise_cost` | boolean | `true` | Annualise the investment costs of retrofitting. |
+    |   `tax_weighting` | boolean | `false` | Weight the costs of retrofitting depending on taxes in countries. |
+    |   `construction_index` | boolean | `true` | Weight the costs of retrofitting depending on labour/material costs per country. |
+    | `tes` | boolean | `true` | Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES). |
+    | `boilers` | boolean | `true` | Add option for transforming gas into heat using gas boilers. |
+    | `resistive_heaters` | boolean | `true` | Add option for transforming electricity into heat using resistive heaters (independently from gas boilers). |
+    | `oil_boilers` | boolean | `false` | Add option for transforming oil into heat using boilers. |
+    | `biomass_boiler` | boolean | `true` | Add option for transforming biomass into heat using boilers. |
+    | `overdimension_heat_generators` | dict (str -> number) |  | Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1. |
+    | `chp` | any |  | Configuration for `sector.chp` settings. |
+    |   `enable` | boolean | `true` | Add option for using Combined Heat and Power (CHP). |
+    |   `fuel` | list of string |  | Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are "gas", "oil", "methanol", "lignite", "coal" as well as "solid biomass". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added. |
+    |   `micro_chp` | boolean | `false` | Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas. |
+    | `solar_thermal` | boolean | `true` | Add option for using solar thermal to generate heat. |
+    | `solar_cf_correction` | number | `0.788457` | The correction factor for the value provided by the solar thermal profile calculations. |
+    | `methanation` | boolean | `true` | Add option for transforming hydrogen and CO2 into methane using methanation. |
+    | `coal_cc` | boolean | `false` | Add option for coal CHPs with carbon capture. |
+    | `dac` | boolean | `true` | Add option for Direct Air Capture (DAC). |
+    | `co2_vent` | boolean | `false` | Add option for vent out CO2 from storages to the atmosphere. |
+    | `heat_vent` | dict (str -> boolean) |  | Heat venting by area. |
+    | `marginal_cost_heat_vent` | number | `0.02` | The marginal cost of heat-venting in all heating systems. |
+    | `allam_cycle_gas` | boolean | `false` | Add option to include [Allam cycle gas power plants ](https://en.wikipedia.org/wiki/Allam_power_cycle). |
+    | `hydrogen_fuel_cell` | boolean | `true` | Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs. |
+    | `hydrogen_turbine` | boolean | `true` | Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs. |
+    | `SMR` | boolean | `true` | Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR). |
+    | `SMR_cc` | boolean | `true` | Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC). |
+    | `regional_oil_demand` | boolean | `true` | Spatially resolve oil demand. Set to true if regional CO2 constraints needed. |
+    | `regional_coal_demand` | boolean | `false` | Regional coal demand. |
+    | `regional_co2_sequestration_potential` | object |  | Add option for regionally-resolved geological carbon dioxide sequestration potentials based on [CO2StoP ](https://setis.ec.europa.eu/european-co2-storage-database_en). |
+    | `co2_sequestration_potential` | dict (str -> number) |  | The potential of sequestering CO2 in Europe per year and investment period. |
+    | `co2_sequestration_cost` | number | `30` | The cost of sequestering a ton of CO2 (currency/tCO2). |
+    | `co2_sequestration_lifetime` | integer | `50` | The lifetime of a CO2 sequestration site (years). |
+    | `co2_spatial` | boolean | `true` | Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites. |
+    | `co2_network` | boolean | `true` | Add option for planning a new carbon dioxide transmission network. |
+    | `co2_network_cost_factor` | number | `1` | The cost factor for the capital cost of the carbon dioxide transmission network. |
+    | `cc_fraction` | number | `0.9` | The default fraction of CO2 captured with post-combustion capture. |
+    | `hydrogen_underground_storage` | boolean | `true` | Add options for storing hydrogen underground. Storage potential depends regionally. |
+    | `hydrogen_underground_storage_locations` | list of string |  | The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively. |
+    | `methanol` | any |  | Configuration for `sector.methanol` settings. |
+    |   `regional_methanol_demand` | boolean | `false` | Spatially resolve methanol demand. Set to true if regional CO2 constraints needed. |
+    |   `methanol_reforming` | boolean | `false` | Add methanol reforming. |
+    |   `methanol_reforming_cc` | boolean | `false` | Add methanol reforming with carbon capture. |
+    |   `methanol_to_kerosene` | boolean | `false` | Add methanol to kerosene. |
+    |   `methanol_to_power` | dict (str -> boolean) |  | Add different methanol to power technologies. |
+    |   `biomass_to_methanol` | boolean | `true` | Add biomass to methanol. |
+    |   `biomass_to_methanol_cc` | boolean | `false` | Add biomass to methanol with carbon capture. |
+    | `ammonia` | boolean \| string | `true` | Add ammonia as a carrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network). |
+    | `min_part_load_electrolysis` | number | `0` | The minimum unit dispatch (`p_min_pu`) for electrolysis. |
+    | `min_part_load_fischer_tropsch` | number | `0.5` | The minimum unit dispatch (`p_min_pu`) for the Fischer-Tropsch process. |
+    | `min_part_load_methanolisation` | number | `0.3` | The minimum unit dispatch (`p_min_pu`) for the methanolisation process. |
+    | `min_part_load_methanation` | number | `0.3` | Minimum part load methanation. |
+    | `use_fischer_tropsch_waste_heat` | number | `0.25` | Add option for using waste heat of Fischer Tropsch in district heating networks. |
+    | `use_haber_bosch_waste_heat` | number | `0.25` | Use Haber-Bosch waste heat. |
+    | `use_methanolisation_waste_heat` | number | `0.25` | Use methanolisation waste heat. |
+    | `use_methanation_waste_heat` | number | `0.25` | Use methanation waste heat. |
+    | `use_fuel_cell_waste_heat` | number | `1` | Add option for using waste heat of fuel cells in district heating networks. |
+    | `use_electrolysis_waste_heat` | number | `0.25` | Add option for using waste heat of electrolysis in district heating networks. |
+    | `electricity_transmission_grid` | boolean | `true` | Switch for enabling/disabling the electricity transmission grid. |
+    | `electricity_distribution_grid` | boolean | `true` | Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link. |
+    | `electricity_distribution_grid_cost_factor` | number | `1.0` | Multiplies the investment cost of the electricity distribution grid. |
+    | `electricity_grid_connection` | boolean | `true` | Add the cost of electricity grid connection for onshore wind and solar. |
+    | `transmission_efficiency` | any |  | Configuration for `sector.transmission_efficiency` settings. |
+    |   `enable` | list of string |  | Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission. |
+    |   `DC` | dict (str -> number) |  | DC transmission efficiency. |
+    |   `H2 pipeline` | dict (str -> number) |  | H2 pipeline transmission efficiency. |
+    |   `gas pipeline` | dict (str -> number) |  | Gas pipeline transmission efficiency. |
+    |   `electricity distribution grid` | dict (str -> number) |  | Electricity distribution grid efficiency. |
+    | `H2_network` | boolean | `true` | Add option for new hydrogen pipelines. |
+    | `gas_network` | boolean | `true` | Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well. |
+    | `H2_retrofit` | boolean | `false` | Add option for retrofiting existing pipelines to transport hydrogen. |
+    | `H2_retrofit_capacity_per_CH4` | number | `0.6` | The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The [European Hydrogen Backbone (April, 2020) p.15 ](https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf) 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity. |
+    | `gas_network_connectivity_upgrade` | number | `1` | The number of desired edge connectivity (k) in the length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) used for the gas network. |
+    | `gas_distribution_grid` | boolean | `true` | Add a gas distribution grid. |
+    | `gas_distribution_grid_cost_factor` | number | `1.0` | Multiplier for the investment cost of the gas distribution grid. |
+    | `biomass_spatial` | boolean | `true` | Add option for resolving biomass demand regionally. |
+    | `biomass_transport` | boolean | `false` | Add option for transporting solid biomass between nodes. |
+    | `biogas_upgrading` | boolean | `true` | Biogas upgrading. |
+    | `biogas_upgrading_cc` | boolean | `false` | Add option to capture CO2 from biomass upgrading. |
+    | `conventional_generation` | dict (str -> string) |  | Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel. |
+    | `biomass_to_liquid` | boolean | `true` | Add option for transforming solid biomass into liquid fuel with the same properties as oil. |
+    | `biomass_to_liquid_cc` | boolean | `false` | Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture. |
+    | `electrobiofuels` | boolean | `true` | Electrobiofuels. |
+    | `biosng` | boolean | `false` | Add option for transforming solid biomass into synthesis gas with the same properties as natural gas. |
+    | `biosng_cc` | boolean | `false` | Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture. |
+    | `bioH2` | boolean | `false` | Add option for transforming solid biomass into hydrogen with carbon capture. |
+    | `municipal_solid_waste` | boolean | `false` | Add option for municipal solid waste. |
+    | `limit_max_growth` | any |  | Configuration for `sector.limit_max_growth` settings. |
+    |   `enable` | boolean | `false` | Add option to limit the maximum growth of a carrier. |
+    |   `factor` | number | `1.3` | The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth). |
+    |   `max_growth` | dict (str -> number) |  | The historic maximum growth of a carrier. |
+    |   `max_relative_growth` | dict (str -> number) |  | The historic maximum relative growth of a carrier. |
+    | `enhanced_geothermal` | any |  | Configuration for `sector.enhanced_geothermal` settings. |
+    |   `enable` | boolean | `false` | Add option to include Enhanced Geothermal Systems. |
+    |   `flexible` | boolean | `true` | Add option for flexible operation (see Ricks et al. 2024). |
+    |   `max_hours` | integer | `240` | The maximum hours the reservoir can be charged under flexible operation. |
+    |   `max_boost` | number | `0.25` | The maximum boost in power output under flexible operation. |
+    |   `var_cf` | boolean | `true` | Add option for variable capacity factor (see Ricks et al. 2024). |
+    |   `sustainability_factor` | number | `0.0025` | Share of sourced heat that is replenished by the earth's core (see details in [build_egs_potentials.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py)). |
+    | `solid_biomass_import` | any |  | Configuration for `sector.solid_biomass_import` settings. |
+    |   `enable` | boolean | `false` | Add option to include solid biomass imports. |
+    |   `price` | number | `54` | Price for importing solid biomass (currency/MWh). |
+    |   `max_amount` | number | `1390` | Maximum solid biomass import potential (TWh). |
+    |   `upstream_emissions_factor` | number | `0.1` | Upstream emissions of solid biomass imports. |
+    | `imports` | any |  | Configuration for `sector.imports` settings. |
+    |   `enable` | boolean | `false` | Add option to include renewable energy imports. |
+    |   `limit` | number |  | Maximum allowed renewable energy imports (TWh). |
+    |   `limit_sense` | string | `<=` | Sense of the limit. |
+    |   `price` | dict (str -> number) |  | Price for importing renewable energy of carrier. |
+    
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: costs:
-   :end-before: # docs
-
-
-.. _clustering_cf:
+```yaml
+{{ yaml_section("sector") }}
+```
+
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `industry` {#industry_cf}
+
+Only used for sector-coupling studies.
+
+Configuration for `industry` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `St_primary_fraction` | dict (str -> number) |  | The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6. |
+| `DRI_fraction` | dict (str -> number) |  | The fraction of the primary route DRI + EAF. |
+| `H2_DRI` | number | `1.7` | The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in [Vogl et al (2018) ](https://doi.org/10.1016/j.jclepro.2018.08.279). |
+| `elec_DRI` | number | `0.322` | The electricity consumed in Direct Reduced Iron (DRI) shaft. From [HYBRIT brochure ](https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf). |
+| `Al_primary_fraction` | dict (str -> number) |  | The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4. |
+| `MWh_NH3_per_tNH3` | number | `5.166` | The energy amount per ton of ammonia (LHV). |
+| `MWh_CH4_per_tNH3_SMR` | number | `10.8` | The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from [Center for European Policy Studies (2008) ](https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf). |
+| `MWh_elec_per_tNH3_SMR` | number | `0.7` | The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3. |
+| `MWh_H2_per_tNH3_electrolysis` | number | `5.93` | The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy). |
+| `MWh_elec_per_tNH3_electrolysis` | number | `0.2473` | The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Table 13 (air separation and HB). |
+| `MWh_NH3_per_MWh_H2_cracker` | number | `1.46` | The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker. |
+| `NH3_process_emissions` | number | `24.5` | The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28. |
+| `petrochemical_process_emissions` | number | `25.5` | The emission of petrochemical production. From UNFCCC for 2015 for EU28. |
+| `HVC_primary_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced via primary route. |
+| `HVC_mechanical_recycling_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced using mechanical recycling. |
+| `HVC_chemical_recycling_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced using chemical recycling. |
+| `HVC_environment_sequestration_fraction` | number | `0.0` | The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0. |
+| `waste_to_energy` | boolean | `false` | Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false. |
+| `waste_to_energy_cc` | boolean | `false` | Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false. |
+| `sector_ratios_fraction_future` | dict (str -> number) |  | The fraction of total progress in fuel and process switching achieved in the industry sector. |
+| `basic_chemicals_without_NH3_production_today` | number | `69.0` | The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3). |
+| `HVC_production_today` | number | `52.0` | The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Figure 16, page 107. |
+| `MWh_elec_per_tHVC_mechanical_recycling` | number | `0.547` | The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of [Meys et al (2020) ](https://doi.org/10.1016/j.resconrec.2020.105010), Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756. |
+| `MWh_elec_per_tHVC_chemical_recycling` | number | `6.9` | The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From [Material Economics (2019) ](https://materialeconomics.com/latest-updates/industrial-transformation-2050), page 125. |
+| `chlorine_production_today` | number | `9.58` | The amount of chlorine produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 7, page 43. |
+| `MWh_elec_per_tCl` | number | `3.6` | The energy amount of electricity needed to produce a ton of chlorine. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 6 page 43. |
+| `MWh_H2_per_tCl` | number | `-0.9372` | The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 43. |
+| `methanol_production_today` | number | `1.5` | The amount of methanol produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 62. |
+| `MWh_elec_per_tMeOH` | number | `0.167` | The energy amount of electricity needed to produce a ton of methanol from fossil gas. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65. |
+| `MWh_CH4_per_tMeOH` | number | `10.25` | The energy amount of methane needed to produce a ton of methanol from fossil gas. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65. |
+| `MWh_MeOH_per_tMeOH` | number | `5.528` | The energy amount per ton of methanol (LHV). From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 74. |
+| `hotmaps_locate_missing` | boolean | `false` | Locate industrial sites without valid locations based on city and countries. |
+| `reference_year` | integer | `2023` | The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001). |
+| `oil_refining_emissions` | number | `0.013` | The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar. |
 
-``clustering``
-==============
+**YAML Syntax**
 
-.. jsonschema:: ../config/schema.default.json#/$defs/ClusteringConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("industry") }}
+```
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `costs` {#costs_cf}
+
+Configuration for `costs` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `year` | integer | `2050` | Year for which to retrieve cost assumptions of `data/costs/primary/<version>/costs_<year>.csv`. |
+| `social_discountrate` | number | `0.02` | Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%. |
+| `fill_values` | any |  | Configuration for `costs.fill_values` settings. |
+| ↳ `FOM` | number | `0` | Default fixed operation and maintenance cost. |
+| ↳ `VOM` | number | `0` | Default variable operation and maintenance cost. |
+| ↳ `efficiency` | number | `1` | Default efficiency. |
+| ↳ `fuel` | number | `0` | Default fuel cost. |
+| ↳ `investment` | number | `0` | Default investment cost. |
+| ↳ `lifetime` | integer | `25` | Default lifetime in years. |
+| ↳ `CO2 intensity` | number | `0` | Default CO2 intensity. |
+| ↳ `discount rate` | number | `0.07` | Default discount rate. |
+| ↳ `standing losses` | number | `0` | Default standing losses. |
+| `custom_cost_fn` | string \| null | `data/custom_costs.csv` | Path to the custom costs file. None if it should not be used. Default `data/custom_costs.csv` contains minor adjustments for stabilising the optimisation results. |
+| `overwrites` | dict (str -> dict (str -> number)) |  | For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology. |
+| `capital_cost` | dict (str -> number) |  | For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`. |
+| `marginal_cost` | dict (str -> number) |  | For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`. |
+| `emission_prices` | any |  | Configuration for `costs.emission_prices` settings. |
+| ↳ `enable` | boolean | `false` | Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs. |
+| ↳ `co2` | number \| dict (str -> number) | `0.0` | Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere. |
+| ↳ `dynamic` | boolean | `false` | Add time-varying cost for a carbon-dioxide price based on historical values built by the rule `build_co2_prices`. |
+| ↳ `rolling_window` | integer | `90` | Rolling window (in days) for smoothing the historical CO2 prices when `dynamic` is set to True. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: clustering:
-   :end-before: # docs
+```yaml
+{{ yaml_section("costs") }}
+```
+
+
+## `clustering` {#clustering_cf}
+
+use `min` in `p_nom_max:` for more conservative assumptions.
+
+Configuration for `clustering` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `mode` | enum (`busmap`, `custom_busmap`, `administrative`, `custom_busshapes`) | `busmap` | 'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule `cluster_network`. If activated the rule looks for provided busmaps at `data/busmaps/base_s_{clusters}_{base_network}.csv` which should have the same format as `resources/busmap_base_s_{clusters}.csv`, i.e. the index should contain the buses of `networks/base_s.nc`. {base_network} is the name of the selected base_network in electricity, e.g. `gridkit`, `osm-prebuilt`, or `osm-raw`. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on `nuts3_shapes.geojson` (level: 1, 2, 3, bz). To activate this, additionally set the `clusters` wildcard in `scenario` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule `cluster_network`. If activated the rule looks for provided busshapes at `data/busshapes/base_s_{clusters}_{base_network}.geojson`. |
+| `administrative` | any |  | Configuration for `clustering.administrative` settings. |
+| ↳ `level` | enum (`0`, `1`, `2`, `3`, `bz`) | `1` | Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1. |
+| ↳ `countries` | dict (str -> integer) |  | Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`. |
+| `focus_weights` | boolean \| dict (str -> number) | `false` | Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`. |
+| `copperplate_regions` | list of list of string |  | Optionally specify the regions to copperplate as a list of groups. Each group is a list of region codes that will be connected with infinite capacity lines. |
+| `build_bidding_zones` | any |  | Configuration for `clustering.build_bidding_zones` settings. |
+| ↳ `remove_islands` | boolean | `false` | Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira. |
+| ↳ `aggregate_to_tyndp` | boolean | `false` | Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape. |
+| `simplify_network` | any |  | Configuration for `clustering.simplify_network` settings. |
+| ↳ `to_substations` | boolean | `false` | Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones. |
+| ↳ `remove_stubs` | boolean | `true` | Controls whether radial parts of the network should be recursively aggregated. Defaults to true. |
+| ↳ `remove_stubs_across_borders` | boolean | `false` | Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true. |
+| `cluster_network` | any |  | Configuration for `clustering.cluster_network` settings. |
+| ↳ `algorithm` | enum (`kmeans`, `hac`) | `kmeans` | Clustering algorithm to use. |
+| ↳ `hac_features` | list of string |  | List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering. |
+| `exclude_carriers` | list of string |  | List of carriers which will not be aggregated. If empty, all carriers will be aggregated. |
+| `consider_efficiency_classes` | boolean \| list of number | `false` | Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]. |
+| `aggregation_strategies` | any |  | Configuration for `clustering.aggregation_strategies` settings. |
+| ↳ `generators` | dict (str -> string) |  | Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator. |
+| ↳ `buses` | dict (str -> string) |  | Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus. |
+| `temporal` | any |  | Configuration for `clustering.temporal` settings. |
+| ↳ `resolution_elec` | boolean \| string | `false` | Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks. |
+| ↳ `resolution_sector` | boolean \| string | `false` | Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`. |
 
-.. tip::
-   use ``min`` in ``p_nom_max:`` for more conservative assumptions.
+**YAML Syntax**
 
-.. _adjustments_cf:
+```yaml
+{{ yaml_section("clustering") }}
+```
 
-``adjustments``
-===============
+!!! tip
+    use `min` in `p_nom_max:` for more conservative assumptions.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/AdjustmentsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
 
-**YAML Syntax**
+## `adjustments` {#adjustments_cf}
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#adjustments
-   :end-before: # docs
+Configuration for top-level adjustments key.
 
-.. _solving_cf:
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `electricity` | boolean \| any | `false` | Parameter adjustments applied in `prepare_network`. |
+| ↳ `factor` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Multiply original value with given factor |
+| ↳ `absolute` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Set attribute to absolute value. Can be also a dictionary with planning horizons as keys. |
+| `sector` | boolean \| any |  | Parameter adjustments applied in `prepare_sector_network`. |
+| ↳ `factor` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Multiply original value with given factor |
+| ↳ `absolute` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Set attribute to absolute value. Can be also a dictionary with planning horizons as keys. |
 
-``solving``
-===========
+**YAML Syntax**
 
-.. jsonschema:: ../config/schema.default.json#/$defs/SolvingConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+```yaml
+{{ yaml_section("adjustments") }}
+```
+
+
+## `solving` {#solving_cf}
+
+Configuration for `solving` settings.
+
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `options` | any |  | Configuration for `solving.options` settings. |
+| ↳ `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+| ↳ `load_shedding` | any |  | Configuration for `solving.options.load_shedding` settings. |
+| ↳↳ `enable` | boolean | `false` | Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers. |
+| ↳↳ `default_cost` | number | `100000` | The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive. |
+| ↳↳ `all_carriers` | boolean | `true` | Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only. |
+| ↳↳ `carriers` | dict (str -> number) | `{}` | Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers. |
+| ↳ `load_sinks` | any |  | Configuration for `solving.options.load_sinks` settings. |
+| ↳↳ `enable` | boolean | `false` | Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers. |
+| ↳↳ `default_cost` | number | `100000` | The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive. |
+| ↳↳ `all_carriers` | boolean | `false` | Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only. |
+| ↳↳ `carriers` | dict (str -> number) | `{}` | Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers. |
+| ↳ `curtailment_mode` | boolean | `false` | Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`. |
+| ↳ `noisy_costs` | boolean | `true` | Add random noise to marginal cost of generators by `\mathcal{U}(0.009,0,011)` and capital cost of lines and links by `\mathcal{U}(0.09,0,11)`. |
+| ↳ `skip_iterations` | boolean | `true` | Skip iterating, do not update impedances of branches. Defaults to true. |
+| ↳ `rolling_horizon` | boolean | `false` | Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks. |
+| ↳ `seed` | integer | `123` | Random seed for increased deterministic behaviour. |
+| ↳ `custom_extra_functionality` | string \| null | `../data/custom_extra_functionality.py` | Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory. |
+| ↳ `io_api` | string \| null |  | Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance. |
+| ↳ `track_iterations` | boolean | `false` | Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration) |
+| ↳ `min_iterations` | integer | `2` | Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run. |
+| ↳ `max_iterations` | integer | `3` | Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run. |
+| ↳ `transmission_losses` | integer | `2` | Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored. |
+| ↳ `linearized_unit_commitment` | boolean | `true` | Whether to optimise using the linearized unit commitment formulation. |
+| ↳ `horizon` | integer | `365` | Number of snapshots to consider in each iteration. Defaults to 100. |
+| ↳ `overlap` | integer | `0` | Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap. |
+| ↳ `post_discretization` | any |  | Configuration for `solving.options.post_discretization` settings. |
+| ↳↳ `enable` | boolean | `false` | Switch to enable post-discretization of the network. Disabled by default. |
+| ↳↳ `line_unit_size` | number | `1700` | Discrete unit size of lines in MW. |
+| ↳↳ `line_threshold` | number | `0.3` | The threshold relative to the discrete line unit size beyond which to round up to the next unit. |
+| ↳↳ `link_unit_size` | dict (str -> number) |  | Discrete unit size of links in MW by carrier (given in dictionary style). |
+| ↳↳ `link_threshold` | dict (str -> number) |  | The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style). |
+| ↳↳ `fractional_last_unit_size` | boolean | `false` | When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size. |
+| ↳ `keep_files` | boolean | `false` | Whether to keep LPs and MPS files after solving. |
+| ↳ `store_model` | boolean | `false` | Store the linopy model to a NetCDF file after solving. Not supported with rolling_horizon. Not scenario-aware. |
+| ↳ `model_kwargs` | any |  | Configuration for `solving.options.model_kwargs` settings. |
+| ↳↳ `solver_dir` | string | `""` | Absolute path to the directory where linopy saves files. |
+| `agg_p_nom_limits` | any |  | Configuration for `solving.agg_p_nom_limits` settings. |
+| ↳ `agg_offwind` | boolean | `false` | Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false. |
+| ↳ `agg_solar` | boolean | `false` | Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false. |
+| ↳ `include_existing` | boolean | `false` | Take existing capacities into account when writing the constraint. Default is false. |
+| ↳ `file` | string | `data/agg_p_nom_minmax.csv` | Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`. |
+| `constraints` | any |  | Configuration for `solving.constraints` settings. |
+| ↳ `CCL` | boolean | `false` | Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling. |
+| ↳ `EQ` | boolean \| string | `false` | Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption. |
+| ↳ `BAU` | boolean | `false` | Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities` |
+| ↳ `SAFE` | boolean | `false` | Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network. |
+| `solver` | any |  | Configuration for `solving.solver` settings. |
+| ↳ `name` | string | `gurobi` | Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow. |
+| ↳ `options` | string | `gurobi-default` | Link to specific parameter settings. |
+| `solver_options` | dict (str -> object) |  | Dictionaries with solver-specific parameter settings. |
+| `check_objective` | any |  | Configuration for `solving.check_objective` settings. |
+| ↳ `enable` | boolean | `false` | Enable objective value checking. |
+| ↳ `expected_value` | number \| null |  | Expected objective value. |
+| ↳ `atol` | number | `1000000` | Absolute tolerance. |
+| ↳ `rtol` | number | `0.01` | Relative tolerance. |
+| `oetc` | any \| null |  | Configuration options for Open Energy Transition Computing (OETC) cluster support. |
+| ↳ `name` | string | `pypsa-eur` | Name identifier for the OETC job. |
+| ↳ `authentication_server_url` | string | `""` | URL of the OETC authentication server for job submission. |
+| ↳ `orchestrator_server_url` | string | `""` | URL of the OETC orchestrator server for job management. |
+| ↳ `cpu_cores` | integer | `8` | Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8) |
+| ↳ `disk_space_gb` | integer | `50` | Amount of disk space in gigabytes to request for the OETC job. |
+| ↳ `delete_worker_on_error` | boolean | `true` | Whether to delete the worker instance when an error occurs during job execution. |
+| `mem_mb` | integer | `128000` | Estimated maximum memory requirement for solving networks (MB). |
+| `memory_logging_frequency` | integer | `5` | Interval in seconds at which memory usage is logged. |
+| `runtime` | string | `48h` | Runtime in humanfriendly style. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: solving:
-   :end-before: # docs
+```yaml
+{{ yaml_section("solving") }}
+```
 
-.. _data_cf:
 
-``data``
-========
+## `data` {#data_cf}
 
 Controls which versions of input data are used for building the model.
 Versions that are available for each dataset can be found in `data/versions.csv`.
@@ -727,65 +1248,223 @@ Some datasets support `primary` or `build` as a source option, meaning that the
 data source or build it from the latest available data.
 See the `data/versions.csv` file for all available datasets and their sources/versions that are supported.
 
-.. dropdown:: Details
+??? note "Details"
+
+    Configuration for `data` settings.
+    
+    | Property | Type | Default | Description |
+    |----------|------|---------|-------------|
+    | `hotmaps_industrial_sites` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `enspreso_biomass` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `osm` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `worldbank_urban_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `worldbank_commodity_prices` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_europe_gas_tracker` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_gcct` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `instrat_co2_prices` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `co2stop` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `nitrogen_statistics` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eu_nuts2013` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eu_nuts2021` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eurostat_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eurostat_household_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `wdpa` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `wdpa_marine` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `luisa_land_cover` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_idees` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `scigrid_gas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `seawater_temperature` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `swiss_energy_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `synthetic_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `opsd_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `entsoe_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `neso_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `copernicus_land_cover` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ship_raster` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eez` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `nuts3_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gdp_per_capita` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `population_count` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ghg_emissions` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gebco` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `attributed_ports` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `corine` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `emobility` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `h2_salt_caverns` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `lau_regions` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `aquifer_data` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `osm_boundaries` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_gspt` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `tyndp` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `powerplants` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `costs` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `country_runoff` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `country_hdd` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `natura` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bfs_road_vehicle_stock` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bfs_gdp_and_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `mobility_profiles` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `cutout` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `dh_areas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `geothermal_heat_utilisation_potentials` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_ardeco` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_energy_atlas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `desnz_electricity_consumption` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ons_lad` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bidding_zones_electricitymaps` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bidding_zones_entsoepy` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    
 
-   .. jsonschema:: ../config/schema.default.json#/$defs/DataConfig
-      :lift_description:
-      :hide_key: /**/additionalProperties
-
-.. dropdown:: YAML Syntax
+**YAML Syntax**
 
-   .. literalinclude:: ../config/config.default.yaml
-      :language: yaml
-      :start-at: data:
-      :end-before: # docs
+```yaml
+{{ yaml_section("data") }}
+```
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/data.csv
 
-.. _overpass_api_cf:
+## `overpass_api` {#overpass_api_cf}
 
-``overpass_api``
-================
+Configuration for `overpass_api` settings.
 
-.. jsonschema:: ../config/schema.default.json#/$defs/OverpassApiConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
+| Property | Type | Default | Description |
+|----------|------|---------|-------------|
+| `url` | string | `https://overpass-api.de/api/interpreter` | Overpass API endpoint URL. See [Overpass API Wiki ](https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances) for available public instances. |
+| `max_tries` | integer | `5` | Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances. |
+| `timeout` | integer | `600` | Timeout in seconds for Overpass API requests. |
+| `user_agent` | any |  | Configuration for `overpass_api.user_agent` settings. |
+| ↳ `project_name` | string | `PyPSA-Eur` | Project name used to identify the user agent of the Overpass API requests. |
+| ↳ `email` | string | `contact@pypsa.org` | Contact email address for the project using the Overpass API. |
+| ↳ `website` | string | `https://github.com/PyPSA/pypsa-eur` | Website URL for the project using the Overpass API. |
 
 **YAML Syntax**
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: overpass_api:
-   :end-before: # docs
-
-.. _secrets_cf:
-
-``secrets``
-===========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/SecretsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
+```yaml
+{{ yaml_section("overpass_api") }}
+```
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: secrets:
 
-.. _plotting_cf:
 
-``plotting``
-=============
+## `plotting` {#plotting_cf}
 
-.. literalinclude:: ../config/plotting.default.yaml
-   :language: yaml
-   :start-at: plotting:
+```yaml
+{{ yaml_section("plotting", source="plotting") }}
+```
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/plotting.csv
diff --git a/doc/contributing.md b/doc/contributing.md
index bc19ef0bf9..27fd9afc29 100644
--- a/doc/contributing.md
+++ b/doc/contributing.md
@@ -1,58 +1,47 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-#######################
-Contributing
-#######################
+# Contributing
 
 We welcome anyone interested in contributing to this project, be it with new
-ideas, suggestions, by filing bug reports or contributing code to our `GitHub
-repository <https://github.com/PyPSA/PyPSA-Eur>`_.
+ideas, suggestions, by filing bug reports or contributing code to our [GitHub
+repository](https://github.com/PyPSA/PyPSA-Eur).
 
-.. toctree::
-   :maxdepth: 1
+## Where to start
 
-   validation_dev
-
-Where to start
-================
-
-* If you already have some code changes, you can submit them directly as a `pull request <https://github.com/PyPSA/pypsa-eur/pulls>`_.
-* If you are wondering where we would greatly appreciate your efforts, check out the ``help wanted`` tag in the `issues list <https://github.com/PyPSA/pypsa-eur/issues>`_ and initiate a discussion there.
+* If you already have some code changes, you can submit them directly as a [pull request](https://github.com/PyPSA/pypsa-eur/pulls).
+* If you are wondering where we would greatly appreciate your efforts, check out the `help wanted` tag in the [issues list](https://github.com/PyPSA/pypsa-eur/issues) and initiate a discussion there.
 * If you start working on a feature in the code, let us know by opening an issue or a draft pull request.
   This helps all of us to keep an overview on what is being done and helps to avoid a situation where we
   are doing the same work twice in parallel.
 
-Setting up the development environment
-========================================
+## Setting up the development environment
 
 For linting, formatting and checking your code contributions
-against our guidelines (e.g. we use `Black <https://github.com/psf/black>`_ as code style
-use `pre-commit <https://pre-commit.com/index.html>`_:
+against our guidelines (e.g. we use [Black](https://github.com/psf/black) as code style
+use [pre-commit](https://pre-commit.com/index.html):
 
 1. Install [pixi](https://pixi.sh/latest/).
 1. Usage:
-    * To automatically activate ``pre-commit`` on every ``git commit``: Run ``pre-commit install``
-    * To manually run it: ``pre-commit run --all``
+    * To automatically activate `pre-commit` on every `git commit`: Run `pre-commit install`
+    * To manually run it: `pre-commit run --all`
 
-.. note::
-  Note that installing ``pre-commit`` locally is not strictly necessary. If you create a Pull Request the ``pre-commit CI`` will be triggered automatically and take care of the checks.
+!!! note
+    Note that installing `pre-commit` locally is not strictly necessary. If you create a Pull Request the `pre-commit CI` will be triggered automatically and take care of the checks.
 
 For all code contributions we follow the four eyes principle (two person principle), i.e. all suggested code
 including our own are reviewed by a second person before they are incorporated into our repository.
 
-If you are unfamiliar with pull requests, the GitHub help pages have a nice `guide <https://help.github.com/en/articles/about-pull-requests>`_.
+If you are unfamiliar with pull requests, the GitHub help pages have a nice [guide](https://help.github.com/en/articles/about-pull-requests).
 
-To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the `Discord server <https://discord.gg/AnuJBk23FU>`_.
+To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the [Discord server](https://discord.gg/AnuJBk23FU).
 
-Contributing to the documentation
-====================================
+## Contributing to the documentation
 
 We strive to keep documentation useful and up to date for all PyPSA users. If you encounter an area where documentation is not available or insufficient, we very much welcome your contribution. Here is How To:
 
-#. Install [pixi](https://pixi.sh/latest/).
-#. Make your changes in the corresponding .rst file under ``pypsa-eur/doc``.
-#. Compile your changes by running the following command in your terminal in the ``doc`` folder: ``pixi run build-docs doc/_build html``
-   You may encounter some warnings, but end up with a message such as ``build succeeded, XX warnings.``. html files to review your changes can then be found under ``doc/_build/html``.
-#. Contribute your documentation in a pull request (`here is a guide <https://help.github.com/en/articles/about-pull-requests>`_).
+1. Install [pixi](https://pixi.sh/latest/).
+2. Make your changes in the corresponding `.md` file under `pypsa-eur/doc`.
+3. Compile your changes by running `pixi run build-docs site` from the project root.
+   You can also preview live with `mkdocs serve`. HTML files to review can be found under `site/`.
+4. Contribute your documentation in a pull request ([here is a guide](https://help.github.com/en/articles/about-pull-requests)).
diff --git a/doc/costs.md b/doc/costs.md
index c32c72178c..4c2b12a970 100644
--- a/doc/costs.md
+++ b/doc/costs.md
@@ -1,20 +1,16 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-############################
-Techno-Economic Assumptions
-############################
+# Techno-Economic Assumptions
 
 The database of cost assumptions is retrieved from the repository
-`PyPSA/technology-data <https://github.com/pypsa/technology-data>`__ and then
-saved to a file ``data/costs/*/costs_{year}.csv``. The ``config/config.yaml`` provides options
-to choose a reference year. To select a specific version of the cost assumptions, see :ref:`managing_data_versions`.
+[PyPSA/technology-data](https://github.com/pypsa/technology-data) and then
+saved to a file `data/costs/*/costs_{year}.csv`. The `config/config.yaml` provides options
+to choose a reference year. To select a specific version of the cost assumptions, see [Managing Data Versions](data_sources.md#managing_data_versions).
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: costs:
-   :end-at:   year:
+```yaml
+{{ yaml_section("costs.year") }}
+```
 
 The file includes cost assumptions for all included technologies for specific
 years compiled from various sources, namely for
@@ -28,24 +24,20 @@ years compiled from various sources, namely for
 - efficiency, and
 - carbon-dioxide intensity.
 
-Many values are taken from a database published by the Danish Energy Agency (`DEA
-<https://ens.dk/en/our-services/projections-and-models/technology-data>`__).
-
+Many values are taken from a database published by the Danish Energy Agency ([DEA](https://ens.dk/en/our-services/projections-and-models/technology-data)).
 
 The given overnight capital costs are annualised to net present costs
-with a discount rate of :math:`r` over the economic lifetime :math:`n` using the annuity factor
-
-.. math::
+with a discount rate of $r$ over the economic lifetime $n$ using the annuity factor
 
-    a = \frac{1-(1+r)^{-n}}{r}.
+$$
+a = \frac{1-(1+r)^{-n}}{r}.
+$$
 
-Based on the parameters above the ``marginal_cost`` and ``capital_cost`` of the
+Based on the parameters above the `marginal_cost` and `capital_cost` of the
 system components are automatically calculated.
 
-
-Modifying Assumptions
-=====================
+## Modifying Assumptions
 
 Some cost assumptions (e.g. marginal cost and capital cost) can be directly
-set in the ``config/config.yaml`` (cf. Section  :ref:`costs_cf`  in
-:ref:`config`).
\ No newline at end of file
+set in the `config/config.yaml` (cf. Section [costs](configuration.md#costs_cf) in
+[Configuration](configuration.md#config)).
diff --git a/doc/data-base-network.md b/doc/data-base-network.md
index 2ba6c70907..a3f03f3089 100644
--- a/doc/data-base-network.md
+++ b/doc/data-base-network.md
@@ -1,36 +1,31 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-#############
-Base network
-#############
+# Base network
 
-.. raw:: html
+<iframe src="../base-network-raw.html" width="100%" height="600px"></iframe>
 
-   <iframe src="base-network-raw.html" width="100%" height="600px"></iframe>
+The map might take a moment to load. To view it in full screen, click <a href="../base-network-raw.html">here</a>.
 
-The map might take a moment to load. To view it in full screen, click `here <base-network-raw.html>`__.
-
-``data/osm/0.6/``
+`data/osm/0.6/`
 
 - **Source:** OpenStreetMap; Xiong, B., Fioriti, D., Neumann, F., Riepin I. & Brown, T. (2024).
   Prebuilt Electricity Network for PyPSA-Eur based on OpenStreetMap Data (0.6)
   [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14144752
 - **Link:** https://zenodo.org/records/14144752
-- **License:** ODbL (`reference <https://zenodo.org/records/14144752>`)
+- **License:** ODbL ([reference](https://zenodo.org/records/14144752))
 - **Description:** Pre-built data of high-voltage transmission grid in Europe from OpenStreetMap.
 
 This dataset contains a topologically connected representation of the European
 high-voltage grid (220 kV to 750 kV) constructed using OpenStreetMap data. Input data
-was retrieved using the `Overpass turbo API <https://overpass-turbo.eu/>`__. A heurisitic
+was retrieved using the [Overpass turbo API](https://overpass-turbo.eu/). A heurisitic
 cleaning process was used to for lines and links where electrical parameters are
 incomplete, missing, or ambiguous. Close substations within a radius of 500 m are
 aggregated to single buses, exact locations of underlying substations is preserved.
 Unique identifiers for lines and links are preserved.
 
 A detailed explanation on the background, methodology, and validation of this dataset
-can be found in `this paper <https://doi.org/10.48550/arXiv.2408.17178>`__ preprint
+can be found in [this paper](https://doi.org/10.48550/arXiv.2408.17178) preprint
 currently under peer-review.
 
 Countries included in the dataset:
diff --git a/doc/data-cutouts.md b/doc/data-cutouts.md
index a6e2a9eff7..af7225d696 100644
--- a/doc/data-cutouts.md
+++ b/doc/data-cutouts.md
@@ -1,87 +1,57 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _cutouts:
+# Weather Data {#cutouts}
 
-############
-Weather Data
-############
-
-Cutouts are spatio-temporal subsets of the European weather data from the `ECMWF ERA5 <https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation>`__ reanalysis dataset and the `CMSAF SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`__ solar surface radiation dataset.
-They have been prepared by and are for use with the `atlite <https://github.com/PyPSA/atlite>`__ tool.
-The :ref:`tutorial` uses a smaller cutout than required for the full model (30 MB), which is also automatically downloaded.
+Cutouts are spatio-temporal subsets of the European weather data from the [ECMWF ERA5](https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation) reanalysis dataset and the [CMSAF SARAH-3](https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002) solar surface radiation dataset.
+They have been prepared by and are for use with the [atlite](https://github.com/PyPSA/atlite) tool.
+The [tutorial](tutorial.md) uses a smaller cutout than required for the full model (30 MB), which is also automatically downloaded.
 
 There are two ways to obtain cutouts:
 
-- **Retrieve pre-built cutouts** from the archive using the ``retrieve_cutout`` rule (default). This downloads ready-made cutouts from ``data.pypsa.org``.
-- **Build cutouts from scratch** using the ``build_cutout`` rule. This requires access to the `CDS API <https://cds.climate.copernicus.eu/api-how-to>`__ to download ERA5 data directly.
+- **Retrieve pre-built cutouts** from the archive using the `retrieve_cutout` rule (default). This downloads ready-made cutouts from `data.pypsa.org`.
+- **Build cutouts from scratch** using the `build_cutout` rule. This requires access to the [CDS API](https://cds.climate.copernicus.eu/api-how-to) to download ERA5 data directly.
 
-.. seealso::
-    For building your own cutouts, see :mod:`build_cutout` and the `atlite documentation <https://atlite.readthedocs.io>`__.
+!!! info "See also"
+    For building your own cutouts, see [build_cutout][] and the [atlite documentation](https://atlite.readthedocs.io).
 
 The following pre-built cutouts are available for download under
-``https://data.pypsa.org/workflows/cutout/<version>/<cutout>.nc``
+`https://data.pypsa.org/workflows/cutout/<version>/<cutout>.nc`
 (click on a cutout name below to download directly).
 
-.. _available-cutouts-start:
-
 **v1.0**
 
-.. list-table::
-   :header-rows: 1
-   :widths: 70 30
-
-   * - Cutout
-     - Size
-   * - `be-03-2013-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/be-03-2013-era5.nc>`__
-     - 11.1 MB
-   * - `dach-03-2013-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/dach-03-2013-sarah3-era5.nc>`__
-     - 35.1 MB
-   * - `europe-1995-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-1995-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-1996-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-1996-sarah3-era5.nc>`__
-     - 6.5 GB
-   * - `europe-2008-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2008-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-2009-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2009-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-2010-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2010-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2012-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2012-sarah3-era5.nc>`__
-     - 6.6 GB
-   * - `europe-2013-03-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-03-sarah3-era5.nc>`__
-     - 140.5 MB
-   * - `europe-2013-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2019-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2019-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2020-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2020-sarah3-era5.nc>`__
-     - 6.6 GB
-   * - `europe-2021-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2021-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2023-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2023-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2024-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2024-sarah3-era5.nc>`__
-     - 6.7 GB
-   * - `europe-2025-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2025-sarah3-era5.nc>`__
-     - 6.7 GB
-.. _available-cutouts-end:
+| Cutout | Size |
+|--------|------|
+| [be-03-2013-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/be-03-2013-era5.nc) | 11.1 MB |
+| [dach-03-2013-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/dach-03-2013-sarah3-era5.nc) | 35.1 MB |
+| [europe-1995-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-1995-sarah3-era5.nc) | 6.2 GB |
+| [europe-1996-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-1996-sarah3-era5.nc) | 6.5 GB |
+| [europe-2008-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2008-sarah3-era5.nc) | 6.2 GB |
+| [europe-2009-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2009-sarah3-era5.nc) | 6.2 GB |
+| [europe-2010-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2010-sarah3-era5.nc) | 6.1 GB |
+| [europe-2012-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2012-sarah3-era5.nc) | 6.6 GB |
+| [europe-2013-03-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-03-sarah3-era5.nc) | 140.5 MB |
+| [europe-2013-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-sarah3-era5.nc) | 6.1 GB |
+| [europe-2019-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2019-sarah3-era5.nc) | 6.1 GB |
+| [europe-2020-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2020-sarah3-era5.nc) | 6.6 GB |
+| [europe-2021-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2021-sarah3-era5.nc) | 6.1 GB |
+| [europe-2023-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2023-sarah3-era5.nc) | 6.1 GB |
+| [europe-2024-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2024-sarah3-era5.nc) | 6.7 GB |
+| [europe-2025-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2025-sarah3-era5.nc) | 6.7 GB |
 
 **Relevant Settings**
 
-.. code:: yaml
+```yaml
+atlite:
+  default_cutout:
+  cutouts:
+```
 
-    atlite:
-      default_cutout:
-      cutouts:
-
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`atlite_cf` and :ref:`data_cf`.
+!!! info "See also"
+    Documentation of the configuration file `config/config.yaml` at
+    [atlite](configuration.md#atlite_cf) and [data](configuration.md#data_cf).
 
 **Outputs**
 
-- ``cutouts/{cutout}``: weather data from either the `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`__   reanalysis weather dataset and/or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewProduktSearch>`__ satellite-based historic weather data.
-
-
+- `cutouts/{cutout}`: weather data from either the [ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) reanalysis weather dataset and/or [SARAH-3](https://wui.cmsaf.eu/safira/action/viewProduktSearch) satellite-based historic weather data.
diff --git a/doc/data-repos.md b/doc/data-repos.md
index c7060cd1e2..8f9c876331 100644
--- a/doc/data-repos.md
+++ b/doc/data-repos.md
@@ -1,42 +1,39 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-###########
-Repository
-###########
+# Repository
 
-Data in this section is included in the PyPSA-Eur repository in the ``data`` folder.
+Data in this section is included in the PyPSA-Eur repository in the `data` folder.
 While most external data is stored outside of the repository, this data is inside the repository either for simplicity or historic reasons.
 New data should generally not be added to the data, but externally retrieved in a versioned manner.
 
-``data/entsoegridkit``
+`data/entsoegridkit`
 
 - **Source:** ENTSO-E
 - **Link:** https://www.entsoe.eu/data/map/, extracted with https://github.com/PyPSA/GridKit/tree/master/entsoe
 - **License:** unknown
 - **Description:** Data of high-voltage transmission grid in Europe from ENTSO-E.
 
-``data/existing_infrastructure``
+`data/existing_infrastructure`
 
 - **Source:** European Commission DG ENER; Mapping and analyses of the current and future (2020 - 2030) heating/cooling fuel deployment
 - **Link:** https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en
-- **License:** CC-BY 4.0 (`reference <https://commission.europa.eu/legal-notice_en>`__)
+- **License:** CC-BY 4.0 ([reference](https://commission.europa.eu/legal-notice_en))
 - **Description:** Contains country-level data on existing heating infrastructure, i.e. gas, oil, coal, biomass boilers, resistive heaters, air- and ground-sourced heat pumps.
 
-``data/retro/comparative_level_investment.csv``
+`data/retro/comparative_level_investment.csv`
 
 - **Source:** Eurostat
 - **Link:** https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment
-- **License:** `custom <https://ec.europa.eu/eurostat/about-us/policies/copyright>`__
+- **License:** [custom](https://ec.europa.eu/eurostat/about-us/policies/copyright)
 - **Description:** Contains data on comparative price levels for investment in Europe.
 
-``data/retro/data_building_stock.csv``
+`data/retro/data_building_stock.csv`
 
 - **Source:** Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli,
-  Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona
-  Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Müller (e-think),
-  Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kühnbach,
+  Giulia Garegnani, Chiara Scaramuzzino, Ramon Pascual Pascuas, Alyona
+  Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Mueller (e-think),
+  Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kuehnbach,
   Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski
   (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW) Hotmaps Project,
   D2.3 WP2 Report - Open Data Set for the EU28, 2018 www.hotmaps-project.eu
@@ -44,24 +41,24 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** CC-BY 4.0
 - **Description:** Contains data on European building stock.
 
-``data/retro/electricity_taxes_eu.csv``
+`data/retro/electricity_taxes_eu.csv`
 
 - **Source:** Eurostat
 - **Link:** https://ec.europa.eu/eurostat/databrowser/view/NRG_PC_204/default/table?lang=en
-- **License:** `custom <https://ec.europa.eu/eurostat/about-us/policies/copyright>`__
+- **License:** [custom](https://ec.europa.eu/eurostat/about-us/policies/copyright)
 - **Description:** Electricity prices for household consumers.
 
-``data/retro/floor_area_missing.csv`` and ``data/retro/u_values_poland.csv``
+`data/retro/floor_area_missing.csv` and `data/retro/u_values_poland.csv`
 
 - **Source:** EU Building Stock Observatory
 - **Link:** https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
-- **License:** `custom <https://data.europa.eu/data/datasets/building-stock-observatory?locale=en>`__
+- **License:** [custom](https://data.europa.eu/data/datasets/building-stock-observatory?locale=en)
 - **Description:** The EU Building Stock Observatory monitors the energy
   performance of buildings across Europe. It assesses improvements in the energy
   efficiency of buildings and the impact of this on the actual energy
   consumption of the buildings sector overall.
 
-``data/retro/retro_cost_germany.csv``
+`data/retro/retro_cost_germany.csv`
 
 - **Source:** Institut Wohnen und Umwelt (IWU)
 - **Link:** https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/
@@ -69,7 +66,7 @@ New data should generally not be added to the data, but externally retrieved in
 - **Description:** Contains thermal envelop costs for retrofitting buildings in
   Germany.
 
-``data/retro/window_assumptions.csv``
+`data/retro/window_assumptions.csv`
 
 - **Source:** ifeu, Fraunhofer IEE and Consentec (2018): Building sector
   Efficiency: A crucial Component of the Energy Transition. A study commissioned
@@ -78,56 +75,56 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** unknown
 - **Description:** Contains data on physical parameters of double- and triple-glazed windows.
 
-``data/transmission_projects/nep``
+`data/transmission_projects/nep`
 
 - **Source:** German Federal Network Agency (Bundesnetzagentur, BNetzA)
 - **Link:** https://data.netzausbau.de/2037-2023/NEP/NEP_2037_2045_Bestaetigung.pdf
 - **License:** unknown
 - **Description:** Contains transmission projects in Europe from German network development plan (Netzentwicklungsplan).
 
-``data/transmission_projects/tyndp2020``
+`data/transmission_projects/tyndp2020`
 
 - **Source:** ENTSO-E
 - **Link:** https://tyndp2020-project-platform.azurewebsites.net/projectsheets
 - **License:** unknown
 - **Description:** Contains transmission projects in Europe from ENTSO-E Ten Year Network Development Plan (TYNDP).
 
-``data/ammonia_plants.csv``
+`data/ammonia_plants.csv`
 
 - **Source:** manually collected, mostly from ICIS
 - **Link:** https://www.icis.com/explore/resources/news/2023/01/18/10846094/insight-poor-demand-high-costs-stifle-europe-industry-despite-falling-gas-prices/
 - **License:** CC-BY 4.0 (for compiled dataset)
 - **Description:** Locations and production capacities of ammonia plants in Europe.
 
-``data/cement_plants-noneu.csv``
+`data/cement_plants-noneu.csv`
 
 - **Source:** manually collected, mostly from USGS
 - **Link:** https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information
-- **License:** CC0 (`reference <https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits>`__)
+- **License:** CC0 ([reference](https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits))
 - **Description:** Contains energy balances for Europe.
 
-``data/ch_cantons.csv``
+`data/ch_cantons.csv`
 
 - **Source:** Wikipedia
 - **Link:** https://en.wikipedia.org/wiki/Data_codes_for_Switzerland
 - **License:** CC-BY-SA 4.0
 - **Description:** Contains NUTS codes for regions in Switzerland.
 
-``data/ch_industrial_production_per_subsector.csv``
+`data/ch_industrial_production_per_subsector.csv`
 
 - **Source:** Swiss Federal Office of Energy (SFOE)
 - **Link:** https://pubdb.bfe.admin.ch/de/publication/download/11817
-- **License:** `custom <https://www.admin.ch/gov/de/start/rechtliches.html>`__
+- **License:** [custom](https://www.admin.ch/gov/de/start/rechtliches.html)
 - **Description:** Contains energy consumption in industry and the service sector in Switzerland.
 
-``data/district_heat_share.csv``
+`data/district_heat_share.csv`
 
 - **Source:** Euroheat & Power
 - **Link:** https://www.euroheat.org/knowledge-hub/country-profiles
 - **License:** unknown
 - **Description:** Contains district heating shares for European countries.
 
-``data/egs_costs.json``
+`data/egs_costs.json`
 
 - **Source:** Arman Aghahosseini, Christian Breyer, From hot rock to useful
   energy: A global estimate of enhanced geothermal systems potential, Applied
@@ -136,65 +133,64 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** unknown
 - **Description:** Contains rastered potentials and capital costs for enhanced geothermal electricity generation in Europe.
 
-``data/eia_hydro_annual_capacity.csv``
+`data/eia_hydro_annual_capacity.csv`
 
 - **Source:** Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/international/data/world/electricity/electricity-generation
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains country-level hydro-electric capacity for Europe by year.
 
-``data/eia_hydro_annual_generation.csv``
+`data/eia_hydro_annual_generation.csv`
 
 - **Source:** Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/international/data/world/electricity/electricity-generation
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains country-level hydro-electric generato for Europe by year.
 
-``data/heat_load_profile_BDEW.csv``
+`data/heat_load_profile_BDEW.csv`
 
 - **Source:** oemof/demandlib
 - **Link:** https://github.com/oemof/demandlib
 - **License:** unknown
 - **Description:** Contains standard heat load profiles based on data from BDEW (German Association of Energy and Water Industries).
 
-``data/hydro_capacities.csv``
+`data/hydro_capacities.csv`
 
-.. warning::
-   The provenance of the data is unclear. We will improve this in the future.
+!!! warning
+    The provenance of the data is unclear. We will improve this in the future.
 
-``data/links_p_nom.csv``
+`data/links_p_nom.csv`
 
 - **Source:** Wikipedia
 - **Link:** https://en.wikipedia.org/wiki/List_of_HVDC_projects
 - **License:** CC-BY-SA 4.0
 - **Description:** Contains list of HVDC transmission line projects.
 
-``data/nuclear_p_max_pu.csv``
+`data/nuclear_p_max_pu.csv`
 
 - **Source:** International Atomic Energy Agency (IAEA)
 - **Link:** https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx
-- **License:** `custom <https://www.iaea.org/about/terms-of-use>`__
+- **License:** [custom](https://www.iaea.org/about/terms-of-use)
 - **Description:** Country-level nuclear power plant availability factors.
 
-``data/refineries-noneu.csv``
+`data/refineries-noneu.csv`
 
 - **Source:** manually collected, mostly from Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/petroleum/refinerycapacity/table3.pdf
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains locations and capacities of oil refineries in Europe.
 
-``data/unit_commitment.csv``
+`data/unit_commitment.csv`
 
-- **Source:** `DIW
-  <https://www.diw.de/documents/publikationen/73/diw_01.c.524200.de/dp1540.pdf>`__,
-  `IRENA <https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Flexibility_in_CPPs_2019.pdf?la=en&hash=AF60106EA083E492638D8FA9ADF7FD099259F5A1>__`,
-  `Agora Energiewende <https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf>`__.
+- **Source:** [DIW](https://www.diw.de/documents/publikationen/73/diw_01.c.524200.de/dp1540.pdf),
+  [IRENA](https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Flexibility_in_CPPs_2019.pdf?la=en&hash=AF60106EA083E492638D8FA9ADF7FD099259F5A1),
+  [Agora Energiewende](https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf).
 - **License:** CC-BY 4.0
 - **Description:** Contains unit commitment parameters for thermal power plants.
 
-``data/biomass_transport_costs_supply_chain{1,2}.csv``
+`data/biomass_transport_costs_supply_chain{1,2}.csv`
 
 - **Source:** European Commission Joint Research Centre (JRC)
 - **Link:** https://publications.jrc.ec.europa.eu/repository/handle/JRC98626
-- **License:** CC-BY 4.0 (`reference <https://commission.europa.eu/legal-notice_en#copyright-notice>`__)
+- **License:** CC-BY 4.0 ([reference](https://commission.europa.eu/legal-notice_en#copyright-notice))
 - **Description:** Contains transport costs for different types of biomass.
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 6b2a9ce831..2d75512214 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -1,56 +1,56 @@
 "Short name","Long name","Description","Owner","Link to website","License"
-"enspreso_biomass",ENSPRESO biomass potentials for Europe,"This collection contains datasets from ENSPRESO2, an EU-28 wide, open dataset on renewable energy potentials, at national (NUTS0), regional and high-resolution (1 x 1 km and 5 x 5 km) levels for the 2010-2050 period. Within ENSPRESO, ENergy Systems Potential Renewable Energy SOurces, and the ENSPRESO2 updates, technical potentials are provided for wind, solar and biomass, based on coherent GIS-based land-restriction scenarios. [...] For biomass, agriculture, forestry and waste sectors are considered. The temporal resolution for wind and solar is both annual.","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f","CC-BY-4.0"
-"osm","Open Street Map electricity transmission grid","Transmission grid topology and infrastructure on substations, lines and cables from Open Street Map (OSM). The dataset is built from OSM data and is not versioned. The latest dataset can be built using the scripts in the repository.","Open Street Map contributors","https://www.openstreetmap.org/ and https://doi.org/10.5281/zenodo.12799201","ODbL-1.0"
-"worldbank_urban_population","Urban population (% of total population)","Percentage of Urban population by country, United Nations Population Division. World Urbanization Prospects: 2018 Revision.","World Bank","https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS","CC-BY-4.0"
-"worldbank_commodity_prices","World Bank Commodity Prices","Monthly commodity price data for a range of commodities including fossil fuels","World Bank","https://thedocs.worldbank.org/en/doc/18675f1d1639c7a34d463f59263ba0a2-0050012025/related/CMO-Historical-Data-Monthly.xlsx","CC-BY-4.0"
-"hotmaps_industrial_sites","Hotmaps industrial sites","In this repository are over 5000 georeferenced industrial sites of energy-intensive industry sectors published, together with GHG-emissions, production capacity, fuel demand and excess heat potentials calculated from emission and production data.","","https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/","CC-BY-4.0"
-"instrat_co2_prices","CO2 Emission Allowance Prices","CO2 emission allowance prices from the EU Emissions Trading System (ETS), retrieved from the Instrat energy price API.","Instrat","https://energy.instrat.pl/","unknown"
-"co2stop","CO2 Storage Potentials","An assessment of the CO2 storage potential in Europe, including storage units, traps, and maps.","European Commission Joint Research Centre","https://setis.ec.europa.eu/european-co2-storage-database_en","Reuse policy following 2011/833/EU"
-"nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information","Public Domain"
-"eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","CC-BY-4.0"
-"eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ","CC-BY-4.0"
-"luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c","CC-BY-4.0"
-"jrc_idees","JRC-IDEES-2023","The JRC-IDEES-2023 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5", "CC-BY-4.0"
-"scigrid_gas","","Scientific Grid Model of European Gas Transmission Networks,Gas transmission data model","DLR Institute for Networked Energy Systems","https://web.archive.org/web/20241112092853/https://www.gas.scigrid.de/", "CC-BY-4.0"
-"synthetic_electricity_demand","","Interannual Electricity Demand Calculator,generates country-level electricity consumption time series based on weather data and correlates historical electricity demand to temperature","","https://zenodo.org/records/10820928", "CC-BY-4.0"
-"opsd_electricity_demand","Open Power System Data - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","Open Power System Data","https://data.open-power-system-data.org/time_series/","unknown"
-"entsoe_electricity_demand","ENTSO-E Transparency Platform - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","ENTSO-E","https://transparency.entsoe.eu/load/total/dayAhead","unknown"
-"neso_electricity_demand","NESO Electricity Demand Data","Time series data of electricity consumption for Great Britain.","National Energy System Operator (NESO)","https://www.neso.energy/data-portal/historic-demand-data","`NESO Open Data License v1.0 <https://www.neso.energy/data-portal/neso-open-licence>`__"
-"copernicus_land_cover","Copernicus Global Land Service", "Land cover and land use inventory of European continent","Copernicus","https://land.copernicus.eu/en/products/global-dynamic-land-cover", "CC-BY-4.0"
-"ship_raster","Global Shipping Traffic Density","To build ship density raster and use it further to compute availability matrix for renewables","Worldbank","https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density", "CC-BY-4.0"
-"eez","Maritime Boundaries World EEZ","To estimate potentials for offshore wind in country's EEZ","Marine Regions","https://www.marineregions.org/downloads.php", "CC-BY-4.0"
-"nuts3_population","Population by NUTS3 region","Average annual population to calculate regional GDP data (thousand persons) by NUTS 3 region (nama_10r_3popgdp)","Eurostat","https://ec.europa.eu/eurostat/databrowser/bulk?lang=en&searchFilter=nama_10r_3pop", "CC-BY-4.0"
-"gdp_per_capita","Gridded global datasets for Gross Domestic Product over 1990–2015","Gross Domestic Product per capita (PPP)","Kummu, M et al.","https://www.nature.com/articles/sdata20184","CC-BY-4.0"
-"population_count","World - Population Counts","Spatial distribution of population","WorldPop","https://data.humdata.org/dataset/worldpop-population-counts-for-world  https://hub.worldpop.org/doi/10.5258/SOTON/WP00647","CC-BY-4.0"
-"ghg_emissions","Total GHG emissions and removals in the EU","National emissions reported to the UNFCCC and to the EU under the Governance Regulation","European Environment Agency","https://www.eea.europa.eu/en/datahub/datahubitem-view/3b7fe76c-524a-439a-bfd2-a6e4046302a2?activeAccordion=1095700%2C1095998%2C1085929%2C1084352%2C1084914","CC-BY-4.0"
-"gebco","General Bathymetric Chart of the Oceans","Gridded Bathymetric data for ocean and land, providing elevation data in meters, on a 15 arc-second interval grid.","GEBCO Comilation Group","https://www.gebco.net/data-products/gridded-bathymetry-data","Public domain"
-"attributed_ports","Global - International Ports","International ports with attributes describing name, port functions, total capacity and location","World bank Group","https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports", "CC-BY-4.0"
-"corine","CORINE Land Cover 2012","Pan European Land cover for 44 thematic classes with 2012 as reference year","Copernicus","https://land.copernicus.eu/en/products/corine-land-cover/clc-2012","Custom similar to CC-BY"
-"emobility","","Motor and passenger vehicles count","Bundesanstalt für Straßenwesen (BASt)","https://www.bast.de/DE/Home/home_node.html","CC-BY-4.0"
-"h2_salt_caverns","Technical potential of salt caverns for Hydrogen Storage in Europe","Salt cavern potentials in GWh/sqkm", "Dilara et al", "https://www.sciencedirect.com/science/article/abs/pii/S0360319919347299?via%3Dihub","CC-BY-4.0"
-"lau_regions","Local Administrative Units","Used for local administration regions when building geothermal potentials","Eurostat","https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units","Permission to download only if used for non-commercial purposes"
-"aquifer_data","International Hydrogeological Map of Europe","Groundwater data","BGR","https://geoportal.bgr.de/mapapps/resources/apps/geoportal/index.html?lang=en#/datasets/portal/341255A9-180F-4BF9-B96F-D085339EA86D","Right to use without restriction but no right to redistribute"
-"osm_boundaries","OSM Boundaries","OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases","Ground Zero Communications AB","https://osm-boundaries.com/about","ODbL"
-"gem_europe_gas_tracker","Europe Gas Tracker","Methane and hydrogen infrastructure in Europe, including pipelines, LNG terminals, gas power plants and extraction sites.","Global Energy Monitor","https://globalenergymonitor.org/projects/europe-gas-tracker/","CC-BY-4.0"
-"gem_gspt","Global Steel Plant Tracker","Steel plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","https://globalenergymonitor.org/projects/global-steel-plant-tracker/","CC-BY-4.0"
-"gem_gcct","Global Cement and Concrete Tracker","Cement and concrete plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","https://globalenergymonitor.org/projects/global-cement-and-concrete-tracker/","CC-BY-4.0"
-"tyndp","Ten Year Network Development Plan (TYNDP) electricity transmission grid","Transmission grid topology based on the ENTSO-E/ENTSO-G TYNDP scenarios, including planned and existing lines.","ENTSO-E/ENTSO-G","https://2024.entsos-tyndp-scenarios.eu/download/","CC-BY-4.0"
-"powerplants","Power plants matching dataset","Global dataset of power plants with their location, capacity and technology type.","The powerplantmatching contributors","https://powerplantmatching.readthedocs.io","CC-BY-4.0"
-"costs","Technology cost assumptions","Technology cost and performance assumptions for Europe for various technologies, including renewables, fossil fuels.","The technologydata contributors","https://technology-data.readthedocs.io","CC-BY-4.0"
+"enspreso_biomass",ENSPRESO biomass potentials for Europe,"This collection contains datasets from ENSPRESO2, an EU-28 wide, open dataset on renewable energy potentials, at national (NUTS0), regional and high-resolution (1 x 1 km and 5 x 5 km) levels for the 2010-2050 period. Within ENSPRESO, ENergy Systems Potential Renewable Energy SOurces, and the ENSPRESO2 updates, technical potentials are provided for wind, solar and biomass, based on coherent GIS-based land-restriction scenarios. [...] For biomass, agriculture, forestry and waste sectors are considered. The temporal resolution for wind and solar is both annual.","European Commission Joint Research Centre","[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f)","CC-BY-4.0"
+"osm","Open Street Map electricity transmission grid","Transmission grid topology and infrastructure on substations, lines and cables from Open Street Map (OSM). The dataset is built from OSM data and is not versioned. The latest dataset can be built using the scripts in the repository.","Open Street Map contributors","[openstreetmap.org](https://www.openstreetmap.org/) and [doi.org](https://doi.org/10.5281/zenodo.12799201)","ODbL-1.0"
+"worldbank_urban_population","Urban population (% of total population)","Percentage of Urban population by country, United Nations Population Division. World Urbanization Prospects: 2018 Revision.","World Bank","[data.worldbank.org](https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS)","CC-BY-4.0"
+"worldbank_commodity_prices","World Bank Commodity Prices","Monthly commodity price data for a range of commodities including fossil fuels","World Bank","[thedocs.worldbank.org](https://thedocs.worldbank.org/en/doc/18675f1d1639c7a34d463f59263ba0a2-0050012025/related/CMO-Historical-Data-Monthly.xlsx)","CC-BY-4.0"
+"hotmaps_industrial_sites","Hotmaps industrial sites","In this repository are over 5000 georeferenced industrial sites of energy-intensive industry sectors published, together with GHG-emissions, production capacity, fuel demand and excess heat potentials calculated from emission and production data.","","[gitlab.com](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/)","CC-BY-4.0"
+"instrat_co2_prices","CO2 Emission Allowance Prices","CO2 emission allowance prices from the EU Emissions Trading System (ETS), retrieved from the Instrat energy price API.","Instrat","[energy.instrat.pl](https://energy.instrat.pl/)","unknown"
+"co2stop","CO2 Storage Potentials","An assessment of the CO2 storage potential in Europe, including storage units, traps, and maps.","European Commission Joint Research Centre","[setis.ec.europa.eu](https://setis.ec.europa.eu/european-co2-storage-database_en)","Reuse policy following 2011/833/EU"
+"nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","[usgs.gov](https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information)","Public Domain"
+"eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/nuts/overview)","Reuse policy following 2011/833/EU"
+"eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/nuts/overview)","Reuse policy following 2011/833/EU"
+"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/data/database)","CC-BY-4.0"
+"eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ)","CC-BY-4.0"
+"luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c)","CC-BY-4.0"
+"jrc_idees","JRC-IDEES-2023","The JRC-IDEES-2023 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5)", "CC-BY-4.0"
+"scigrid_gas","","Scientific Grid Model of European Gas Transmission Networks,Gas transmission data model","DLR Institute for Networked Energy Systems","[web.archive.org](https://web.archive.org/web/20241112092853/https://www.gas.scigrid.de/)", "CC-BY-4.0"
+"synthetic_electricity_demand","","Interannual Electricity Demand Calculator,generates country-level electricity consumption time series based on weather data and correlates historical electricity demand to temperature","","[zenodo.org](https://zenodo.org/records/10820928)", "CC-BY-4.0"
+"opsd_electricity_demand","Open Power System Data - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","Open Power System Data","[data.open-power-system-data.org](https://data.open-power-system-data.org/time_series/)","unknown"
+"entsoe_electricity_demand","ENTSO-E Transparency Platform - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","ENTSO-E","[transparency.entsoe.eu](https://transparency.entsoe.eu/load/total/dayAhead)","unknown"
+"neso_electricity_demand","NESO Electricity Demand Data","Time series data of electricity consumption for Great Britain.","National Energy System Operator (NESO)","[neso.energy](https://www.neso.energy/data-portal/historic-demand-data)","`NESO Open Data License v1.0 <https://www.neso.energy/data-portal/neso-open-licence>`__"
+"copernicus_land_cover","Copernicus Global Land Service", "Land cover and land use inventory of European continent","Copernicus","[land.copernicus.eu](https://land.copernicus.eu/en/products/global-dynamic-land-cover)", "CC-BY-4.0"
+"ship_raster","Global Shipping Traffic Density","To build ship density raster and use it further to compute availability matrix for renewables","Worldbank","[datacatalog.worldbank.org](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density)", "CC-BY-4.0"
+"eez","Maritime Boundaries World EEZ","To estimate potentials for offshore wind in country's EEZ","Marine Regions","[marineregions.org](https://www.marineregions.org/downloads.php)", "CC-BY-4.0"
+"nuts3_population","Population by NUTS3 region","Average annual population to calculate regional GDP data (thousand persons) by NUTS 3 region (nama_10r_3popgdp)","Eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/databrowser/bulk?lang=en&searchFilter=nama_10r_3pop)", "CC-BY-4.0"
+"gdp_per_capita","Gridded global datasets for Gross Domestic Product over 1990–2015","Gross Domestic Product per capita (PPP)","Kummu, M et al.","[nature.com](https://www.nature.com/articles/sdata20184)","CC-BY-4.0"
+"population_count","World - Population Counts","Spatial distribution of population","WorldPop","[data.humdata.org](https://data.humdata.org/dataset/worldpop-population-counts-for-world)  [hub.worldpop.org](https://hub.worldpop.org/doi/10.5258/SOTON/WP00647)","CC-BY-4.0"
+"ghg_emissions","Total GHG emissions and removals in the EU","National emissions reported to the UNFCCC and to the EU under the Governance Regulation","European Environment Agency","[eea.europa.eu](https://www.eea.europa.eu/en/datahub/datahubitem-view/3b7fe76c-524a-439a-bfd2-a6e4046302a2?activeAccordion=1095700%2C1095998%2C1085929%2C1084352%2C1084914)","CC-BY-4.0"
+"gebco","General Bathymetric Chart of the Oceans","Gridded Bathymetric data for ocean and land, providing elevation data in meters, on a 15 arc-second interval grid.","GEBCO Comilation Group","[gebco.net](https://www.gebco.net/data-products/gridded-bathymetry-data)","Public domain"
+"attributed_ports","Global - International Ports","International ports with attributes describing name, port functions, total capacity and location","World bank Group","[datacatalog.worldbank.org](https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports)", "CC-BY-4.0"
+"corine","CORINE Land Cover 2012","Pan European Land cover for 44 thematic classes with 2012 as reference year","Copernicus","[land.copernicus.eu](https://land.copernicus.eu/en/products/corine-land-cover/clc-2012)","Custom similar to CC-BY"
+"emobility","","Motor and passenger vehicles count","Bundesanstalt für Straßenwesen (BASt)","[bast.de](https://www.bast.de/DE/Home/home_node.html)","CC-BY-4.0"
+"h2_salt_caverns","Technical potential of salt caverns for Hydrogen Storage in Europe","Salt cavern potentials in GWh/sqkm", "Dilara et al", "[sciencedirect.com](https://www.sciencedirect.com/science/article/abs/pii/S0360319919347299?via%3Dihub)","CC-BY-4.0"
+"lau_regions","Local Administrative Units","Used for local administration regions when building geothermal potentials","Eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units)","Permission to download only if used for non-commercial purposes"
+"aquifer_data","International Hydrogeological Map of Europe","Groundwater data","BGR","[geoportal.bgr.de](https://geoportal.bgr.de/mapapps/resources/apps/geoportal/index.html?lang=en#/datasets/portal/341255A9-180F-4BF9-B96F-D085339EA86D)","Right to use without restriction but no right to redistribute"
+"osm_boundaries","OSM Boundaries","OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases","Ground Zero Communications AB","[osm-boundaries.com](https://osm-boundaries.com/about)","ODbL"
+"gem_europe_gas_tracker","Europe Gas Tracker","Methane and hydrogen infrastructure in Europe, including pipelines, LNG terminals, gas power plants and extraction sites.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/europe-gas-tracker/)","CC-BY-4.0"
+"gem_gspt","Global Steel Plant Tracker","Steel plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/global-steel-plant-tracker/)","CC-BY-4.0"
+"gem_gcct","Global Cement and Concrete Tracker","Cement and concrete plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/global-cement-and-concrete-tracker/)","CC-BY-4.0"
+"tyndp","Ten Year Network Development Plan (TYNDP) electricity transmission grid","Transmission grid topology based on the ENTSO-E/ENTSO-G TYNDP scenarios, including planned and existing lines.","ENTSO-E/ENTSO-G","[2024.entsos-tyndp-scenarios.eu](https://2024.entsos-tyndp-scenarios.eu/download/)","CC-BY-4.0"
+"powerplants","Power plants matching dataset","Global dataset of power plants with their location, capacity and technology type.","The powerplantmatching contributors","[powerplantmatching.readthedocs.io](https://powerplantmatching.readthedocs.io)","CC-BY-4.0"
+"costs","Technology cost assumptions","Technology cost and performance assumptions for Europe for various technologies, including renewables, fossil fuels.","The technologydata contributors","[technology-data.readthedocs.io](https://technology-data.readthedocs.io)","CC-BY-4.0"
 "country_runoff","Country level runoff data","Country-level runoff data, daily sums, for Europe, used for rescaling hydro-electricity availability in weather years not covered by EIA hydro-generation statistics.","Fabian Neumann","see `rule retrieve_country_runoff` in the PyPSA-Eur repository","CC-BY-4.0"
 "country_hdd","Country level runoff data","Country-level heating degree days for Europe, used for rescaling heat demand in weather years not covered by energy statistics.","Fabian Neumann","see `rule retrieve_country_runoff` in the PyPSA-Eur repository","CC-BY-4.0"
-"natura","Natura 2000 protected areas","Protected areas in Europe as defined by the Natura 2000 network.","European Environment Agency","https://www.eea.europa.eu/en/datahub/datahubitem-view/6fc8ad2d-195d-40f4-bdec-576e7d1268e4","CC-BY-4.0"
-"bfs_road_vehicle_stock","Swiss Road Vehicle Stock","Stock of road motor vehicles in Switzerland.","Swiss Federal Statistics Office","https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html","custom (OPEN BY ASK)"
-"bfs_gdp_and_population","Swiss Population","Population data for Switzerland.","Swiss Federal Statistics Office","https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html","custom (OPEN BY ASK)"
-"swiss_energy_balances","Swiss Energy Balances","Energy balances for Switzerland.","Swiss Federal Office of Energy (SFOE)","https://pubdb.bfe.admin.ch/de/publication/download/12361","custom (https://www.admin.ch/gov/de/start/rechtliches.html)"
-"mobility_profiles","German Vehicle Activity Profiles","Vehicle activity profiles for different vehicle types and road types in Germany, based on monitoring data from the Federal Highway Research Institute (BASt). These profiles provide insights into travel behavior and patterns, which can be used for transport modeling and analysis.","Federal Highway Research Institute (BASt)","https://www.bast.de/DE/Themen/Digitales/HF_1/Massnahmen/verkehrszaehlung/Stundenwerte.html?nn=414410","CC-BY-4.0"
-"dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
-"geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
-"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","https://territorial.ec.europa.eu/ardeco","similar to CC-BY"
-"jrc_energy_atlas","JRC Energy Atlas","Contains 1km by 1km raster data of annual electricity demand per EU country","European Commission Joint Research Centre","https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/","`CC-BY-4.0 <https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/copyright.txt>`__"
-"desnz_electricity_consumption","Regional and local authority electricity consumption statistics","Contains subnational electricity consumption statistics from 2005 to 2023.","UK Government, Department for Energy Security and Net Zero","https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics","Open Government Licence v3.0"
-"ons_lad","UK Local Authority Districts May 2024 Boundaries","Contains shapefiles of local authorities in the United Kingdom.","UK Office for National Statistics","https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about","Open Government Licence v.3.0"
-"bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","https://github.com/electricitymaps/electricitymaps-contrib","AGPL-3.0"
-"bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","https://github.com/EnergieID/entsoe-py","MIT"
+"natura","Natura 2000 protected areas","Protected areas in Europe as defined by the Natura 2000 network.","European Environment Agency","[eea.europa.eu](https://www.eea.europa.eu/en/datahub/datahubitem-view/6fc8ad2d-195d-40f4-bdec-576e7d1268e4)","CC-BY-4.0"
+"bfs_road_vehicle_stock","Swiss Road Vehicle Stock","Stock of road motor vehicles in Switzerland.","Swiss Federal Statistics Office","[bfs.admin.ch](https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html)","custom (OPEN BY ASK)"
+"bfs_gdp_and_population","Swiss Population","Population data for Switzerland.","Swiss Federal Statistics Office","[bfs.admin.ch](https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html)","custom (OPEN BY ASK)"
+"swiss_energy_balances","Swiss Energy Balances","Energy balances for Switzerland.","Swiss Federal Office of Energy (SFOE)","[pubdb.bfe.admin.ch](https://pubdb.bfe.admin.ch/de/publication/download/12361)","custom ([admin.ch](https://www.admin.ch/gov/de/start/rechtliches.html))"
+"mobility_profiles","German Vehicle Activity Profiles","Vehicle activity profiles for different vehicle types and road types in Germany, based on monitoring data from the Federal Highway Research Institute (BASt). These profiles provide insights into travel behavior and patterns, which can be used for transport modeling and analysis.","Federal Highway Research Institute (BASt)","[bast.de](https://www.bast.de/DE/Themen/Digitales/HF_1/Massnahmen/verkehrszaehlung/Stundenwerte.html?nn=414410)","CC-BY-4.0"
+"dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","[fordatis.fraunhofer.de](https://fordatis.fraunhofer.de/handle/fordatis/341.5)","CC-BY-4.0"
+"geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","[fordatis.fraunhofer.de](https://fordatis.fraunhofer.de/handle/fordatis/341.5)","CC-BY-4.0"
+"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","[territorial.ec.europa.eu](https://territorial.ec.europa.eu/ardeco)","similar to CC-BY"
+"jrc_energy_atlas","JRC Energy Atlas","Contains 1km by 1km raster data of annual electricity demand per EU country","European Commission Joint Research Centre","[energy-industry-geolab.jrc.ec.europa.eu](https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/)","`CC-BY-4.0 <https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/copyright.txt>`__"
+"desnz_electricity_consumption","Regional and local authority electricity consumption statistics","Contains subnational electricity consumption statistics from 2005 to 2023.","UK Government, Department for Energy Security and Net Zero","[gov.uk](https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics)","Open Government Licence v3.0"
+"ons_lad","UK Local Authority Districts May 2024 Boundaries","Contains shapefiles of local authorities in the United Kingdom.","UK Office for National Statistics","[geoportal.statistics.gov.uk](https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about)","Open Government Licence v.3.0"
+"bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","[github.com](https://github.com/electricitymaps/electricitymaps-contrib)","AGPL-3.0"
+"bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","[github.com](https://github.com/EnergieID/entsoe-py)","MIT"
diff --git a/doc/data_sources.md b/doc/data_sources.md
index dab740ed7f..48ae704794 100644
--- a/doc/data_sources.md
+++ b/doc/data_sources.md
@@ -1,102 +1,77 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-#############
-Data Sources
-#############
+# Data Sources
 
 PyPSA-Eur is compiled from a variety of data sources. The following table provides an
 overview of the data sources used in PyPSA-Eur. Different licenses apply to the
 data sources.
 
-.. toctree::
-   :maxdepth: 1
-
-   ../data-base-network
-   ../data-cutouts
-   ../data-repos
-
-.. _managing_data_versions:
-
-#################
-Data Versioning
-#################
+# Data Versioning {#managing_data_versions}
 
 Many of the data sources used in PyPSA-Eur are updated regularly.
 To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources which
 allows users to select specific versions of the data sources to use in their models.
 Next to the versioning and if the license allows, most datasets are also mirrored to a
-public file storage for the repository under ``https://data.pypsa.org``.
+public file storage for the repository under `https://data.pypsa.org`.
 
-.. note::
+!!! note
     For users, selection and control over which data sources to use is managed through the configuration file.
-    See :ref:`data_cf` for details. In most cases you just wanna stick with the latest archive
-    version. Reproducibility is given even when using the ``latest`` tag via the
-    ``versions.csv``, which is version controlled.
+    See [Data Configuration](configuration.md#data_cf) for details. In most cases you just wanna stick with the latest archive
+    version. Reproducibility is given even when using the `latest` tag via the
+    `versions.csv`, which is version controlled.
 
-*****************************
-Understanding ``versions.csv``
-*****************************
+## Understanding `versions.csv`
 
-The file ``data/versions.csv`` is the central registry for all data sources and their versions.
+The file `data/versions.csv` is the central registry for all data sources and their versions.
 Each row defines a specific version of a dataset with the following columns:
 
-* ``dataset``: The name of the dataset (e.g., ``worldbank_urban_population``).
-* ``version``: The version identifier, typically following the original data source's versioning (e.g., ``2025-08-14``).
-* ``source``: The source type - ``primary`` (original data source), ``archive`` (mirrored copy on ``data.pypsa.org``), or ``build`` (generated from other data).
-* ``tags``: Space-separated tags like ``latest``, ``supported`` or ``deprecated``.
-* ``added``: The date when this entry was added to the registry.
-* ``note``: Optional notes about the dataset or version.
-* ``url``: The download URL for the data.
+* `dataset`: The name of the dataset (e.g., `worldbank_urban_population`).
+* `version`: The version identifier, typically following the original data source's versioning (e.g., `2025-08-14`).
+* `source`: The source type - `primary` (original data source), `archive` (mirrored copy on `data.pypsa.org`), or `build` (generated from other data).
+* `tags`: Space-separated tags like `latest`, `supported` or `deprecated`.
+* `added`: The date when this entry was added to the registry.
+* `note`: Optional notes about the dataset or version.
+* `url`: The download URL for the data.
 
-Entries to the ``versions.csv`` are never deleted and if a dataset was removed or is not available, the entry is marked as ``deprecated``.
+Entries to the `versions.csv` are never deleted and if a dataset was removed or is not available, the entry is marked as `deprecated`.
 
-.. note::
-    For ``primary`` sources, each combination of dataset and version should point to a specific version of that dataset with a unique URL.
-    If the original data source does not provide versioned URLs (i.e., the URL always points to the latest data), the ``version`` is set to ``unknown``.
-    In this case, the corresponding ``archive`` entries do not mirror the same version but represent snapshots taken at specific points in time from that primary source.
+!!! note
+    For `primary` sources, each combination of dataset and version should point to a specific version of that dataset with a unique URL.
+    If the original data source does not provide versioned URLs (i.e., the URL always points to the latest data), the `version` is set to `unknown`.
+    In this case, the corresponding `archive` entries do not mirror the same version but represent snapshots taken at specific points in time from that primary source.
 
-*******************************
-Adding a new version of a dataset
-*******************************
+## Adding a new version of a dataset
 
 If you notice that a data source has been updated and want to add the new version to PyPSA-Eur:
 
-1. Add a new row to ``data/versions.csv`` with the same ``dataset`` name, the new ``version``, ``source`` set to ``primary``, and the ``url`` pointing to the original data source.
-2. Set appropriate tags (typically ``latest supported``).
-3. Update the tags of the previous version (remove ``latest``, keep ``supported`` if still compatible).
+1. Add a new row to `data/versions.csv` with the same `dataset` name, the new `version`, `source` set to `primary`, and the `url` pointing to the original data source.
+2. Set appropriate tags (typically `latest supported`).
+3. Update the tags of the previous version (remove `latest`, keep `supported` if still compatible).
 4. Create a pull request with your changes.
 5. Of course, any potential workflow adjustments should be considered and implemented as well.
 
-.. note::
-    If the ``primary`` source has ``version`` set to ``unknown`` (i.e., the URL always points to the latest data) and a new version is available that has not been archived yet, please open an issue on the `PyPSA-Eur GitHub repository <https://github.com/pypsa/pypsa-eur/issues>`_ to request an archive update.
+!!! note
+    If the `primary` source has `version` set to `unknown` (i.e., the URL always points to the latest data) and a new version is available that has not been archived yet, please open an issue on the [PyPSA-Eur GitHub repository](https://github.com/pypsa/pypsa-eur/issues) to request an archive update.
 
-*********************
-Adding a new dataset
-*********************
+## Adding a new dataset
 
 To add a completely new data source to PyPSA-Eur:
 
-1. Add a ``primary`` entry to ``data/versions.csv`` with a new unique dataset name, version, and URL pointing to the original data source.
-2. Implement a ``retrieve`` rule for your dataset in ``rules/retrieve.smk``.
+1. Add a `primary` entry to `data/versions.csv` with a new unique dataset name, version, and URL pointing to the original data source.
+2. Implement a `retrieve` rule for your dataset in `rules/retrieve.smk`.
    Take inspiration from existing rules in the file.
 3. Add the new data source to:
 
-   * ``data`` section in the pydantic schema ``scripts/lib/validation/config/data.py``
-   * ``data_inventory.csv`` data inventory for PyPSA-Eur
+   * `data` section in the pydantic schema `scripts/lib/validation/config/data.py`
+   * `data_inventory.csv` data inventory for PyPSA-Eur
 
 4. Create a pull request with your changes.
 
-.. note::
-    Maintainers of the repository will create the corresponding ``archive`` entry after reviewing your contribution.
+!!! note
+    Maintainers of the repository will create the corresponding `archive` entry after reviewing your contribution.
+
+# Data inventory
 
-##############
-Data inventory
-##############
+{{ read_csv("doc/data_inventory.csv") }}
 
-.. csv-table::
-   :header-rows: 1
-   :class: longtable
-   :widths: auto
-   :file: data_inventory.csv
diff --git a/doc/foresight.md b/doc/foresight.md
index 6a49c63373..3995aa584a 100644
--- a/doc/foresight.md
+++ b/doc/foresight.md
@@ -1,74 +1,56 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _foresight:
+# Foresight Options {#foresight}
 
-#####################
-Foresight Options
-#####################
-
-.. _overnight:
-
-Overnight (greenfield) scenarios
-================================
+## Overnight (greenfield) scenarios {#overnight}
 
 The default is to calculate a rebuilding of the energy system to meet demand, a so-called overnight or greenfield approach.
 
-In this case, the ``planning_horizons`` parameter specifies the reference year for exogenously given transition paths (e.g. the level of steel recycling).
+In this case, the `planning_horizons` parameter specifies the reference year for exogenously given transition paths (e.g. the level of steel recycling).
 It does not affect the year for cost and technology assumptions, which is set separately in the config.
 
-.. code:: yaml
-
-  scenario:
-    planning_horizons:
-    - 2050
+```yaml
+scenario:
+  planning_horizons:
+  - 2050
 
-  costs:
-    year: 2030
+costs:
+  year: 2030
+```
 
-For running overnight scenarios, use in the ``config/config.yaml``:
+For running overnight scenarios, use in the `config/config.yaml`:
 
-.. code:: yaml
+```yaml
+foresight: overnight
+```
 
-  foresight: overnight
+## Perfect foresight scenarios {#perfect}
 
-.. _perfect:
+!!! warning
 
-Perfect foresight scenarios
-===========================
-
-.. warning::
-
-  Perfect foresight is currently implemented as an experimental test version.
+    Perfect foresight is currently implemented as an experimental test version.
 
 For running perfect foresight scenarios, you can adjust the
- ``config/config.perfect.yaml``:
-
-.. code:: yaml
+ `config/config.perfect.yaml`:
 
-  foresight: perfect
+```yaml
+foresight: perfect
+```
 
-
-.. _myopic:
-
-Myopic foresight scenarios
-=============================
+## Myopic foresight scenarios {#myopic}
 
 The myopic code can be used to investigate progressive changes in a network, for
 instance, those taking place throughout a transition path. The capacities
 installed in a certain time step are maintained in the network until their
 operational lifetime expires.
 
-The myopic approach was initially developed and used in the paper `Early
-decarbonisation of the European Energy system pays off (2020)
-<https://www.nature.com/articles/s41467-020-20015-4>`__ and later further
-extended in `Speed of technological transformations required in Europe to
-achieve different climate goals (2022)
-<https://doi.org/10.1016/j.joule.2022.04.016>`__. The current implementation
+The myopic approach was initially developed and used in the paper [Early
+decarbonisation of the European Energy system pays off (2020)](https://www.nature.com/articles/s41467-020-20015-4) and later further
+extended in [Speed of technological transformations required in Europe to
+achieve different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016). The current implementation
 complies with the PyPSA-Eur-Sec standard working flow and is compatible with
-using the higher resolution electricity transmission model `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ rather than a one-node-per-country
+using the higher resolution electricity transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a one-node-per-country
 model.
 
 The current code applies the myopic approach to generators, storage technologies
@@ -77,7 +59,7 @@ heating sector (e.g., the share of district heating and reduced space heat
 demand), industry processes (e.g., steel, direct reduced iron, and aluminum
 production via primary route), the share of fuel cell and battery electric
 vehicles in land transport, and the hydrogen share in shipping (see
-:doc:`supply_demand` for further information).
+[Supply and Demand](supply_demand.md) for further information).
 
 The following subjects within the land transport and biomass currently do not
 evolve with the myopic approach:
@@ -88,34 +70,29 @@ evolve with the myopic approach:
 - The annual biomass potential (default year and scenario for which potential is
   taken is 2030, as defined in config)
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: biomass:
-   :end-at: year:
-
+```yaml
+{{ yaml_section("biomass.year") }}
+```
 
-Configuration
---------------
+### Configuration
 
-For running myopic foresight transition scenarios, set in ``config/config.yaml``:
+For running myopic foresight transition scenarios, set in `config/config.yaml`:
 
-.. code:: yaml
+```yaml
+foresight: myopic
+```
 
-  foresight: myopic
-
-The following options included in the ``config/config.yaml`` file  are relevant for the
+The following options included in the `config/config.yaml` file  are relevant for the
 myopic code.
 
-The ``{planning_horizons}`` wildcard indicates the year in which the network is
+The `{planning_horizons}` wildcard indicates the year in which the network is
 optimized. For a myopic optimization, this is equivalent to the investment year.
 To set the investment years which are sequentially simulated for the myopic
 investment planning, select for example:
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at:   planning_horizons:
-   :end-before: countries:
-
+```yaml
+{{ yaml_section("scenario.planning_horizons", source="test/config.myopic.yaml") }}
+```
 
 **existing capacities**
 
@@ -123,24 +100,17 @@ Grouping years indicates the bins limits for grouping the existing capacities of
 different technologies. Note that separate bins are defined for the power and
 heating plants due to different data sources.
 
-``grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020,
-2025, 2030]``
-
-``grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]``
-
-
-
+`grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020,
+2025, 2030]`
 
+`grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]`
 
 **threshold capacity**
 
 If for a technology, node, and grouping bin, the capacity is lower than
 threshold_capacity, it is ignored.
 
-``threshold_capacity: 10``
-
-
-
+`threshold_capacity: 10`
 
 **conventional carriers**
 
@@ -157,101 +127,88 @@ technologies.
 
     \- uranium
 
-
-
-
-Options
---------------
+### Options
 
 The total carbon budget for the entire transition path can be indicated in the
-`sector_opts
-<https://github.com/PyPSA/pypsa-eur-sec/blob/f13902510010b734c510c38c4cae99356f683058/config.default.yaml#L25>`__
-in ``config/config.yaml``. The carbon budget can be split among the
-``planning_horizons`` following an exponential or beta decay. E.g. ``'cb40ex0'``
-splits a carbon budget equal to 40 Gt :math:`_{CO_2}` following an exponential
+[sector_opts](https://github.com/PyPSA/pypsa-eur-sec/blob/f13902510010b734c510c38c4cae99356f683058/config.default.yaml#L25)
+in `config/config.yaml`. The carbon budget can be split among the
+`planning_horizons` following an exponential or beta decay. E.g. `'cb40ex0'`
+splits a carbon budget equal to 40 Gt $_{CO_2}$ following an exponential
 decay whose initial linear growth rate r is zero. They can also follow some
-user-specified path, if defined `here
-<https://github.com/PyPSA/pypsa-eur-sec/blob/413254e241fb37f55b41caba7264644805ad8e97/config.default.yaml#L56>`__.
-The paper `Speed of technological transformations required in Europe to achieve
-different climate goals (2022) <https://doi.org/10.1016/j.joule.2022.04.016>`__
-defines CO_2 budgets corresponding to global temperature increases (1.5C – 2C)
+user-specified path, if defined [here](https://github.com/PyPSA/pypsa-eur-sec/blob/413254e241fb37f55b41caba7264644805ad8e97/config.default.yaml#L56).
+The paper [Speed of technological transformations required in Europe to achieve
+different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016)
+defines CO_2 budgets corresponding to global temperature increases (1.5C -- 2C)
 as response to the emissions. Here, global carbon budgets are converted to
 European budgets assuming equal-per capita distribution which translates into a
 6.43% share for Europe. The carbon budgets are in this paper distributed
 throughout the transition paths assuming an exponential decay. Emissions e(t) in
 every year t are limited by
 
-.. math::
-  e(t) = e_0 (1+ (r+m)t) e^{-mt}
+$$
+e(t) = e_0 (1+ (r+m)t) e^{-mt}
+$$
 
 where r is the initial linear growth rate, which here is assumed to be r=0, and
 the decay parameter m is determined by imposing the integral of the path to be
 equal to the budget for Europe. Following this approach, the CO_2 budget is
 defined. Following the same approach as in this paper, add the following to the
-``scenario.sector_opts`` E.g.  ``-cb25.7ex0`` (1.5C increase) Or ``cb73.9ex0``
-(2C increase). See details in Supplemental Note S1 `Speed of technological
-transformations required in Europe to achieve different climate goals (2022)
-<https://doi.org/10.1016/j.joule.2022.04.016>`__.
+`scenario.sector_opts` E.g.  `-cb25.7ex0` (1.5C increase) Or `cb73.9ex0`
+(2C increase). See details in Supplemental Note S1 [Speed of technological
+transformations required in Europe to achieve different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016).
 
-
-General myopic code structure
----------------------------------
+### General myopic code structure
 
 The myopic code solves the network for the time steps included in
-``planning_horizons`` in a recursive loop, so that:
+`planning_horizons` in a recursive loop, so that:
 
 1. The existing capacities (those installed before the base year are added as
    fixed capacities with p_nom=value, p_nom_extendable=False). E.g. for
    baseyear=2020, capacities installed before 2020 are added. In addition, the
    network comprises additional generator, storage, and link capacities with
    p_nom_extendable=True. The non-solved network is saved in
-   ``resources/run_name/networks``.
+   `resources/run_name/networks`.
 
-The base year is the first element in ``planning_horizons``. Step 1 is
+The base year is the first element in `planning_horizons`. Step 1 is
 implemented with the rule add_baseyear for the base year and with the rule
 add_brownfield for the remaining planning_horizons.
 
 2. The 2020 network is optimized. The solved network is saved in
-   ``results/run_name/networks``
+   `results/run_name/networks`
 
 3. For the next planning horizon, e.g. 2030, the capacities from a previous time
    step are added if they are still in operation (i.e., if they fulfil planning
    horizon <= commissioned year + lifetime). In addition, the network comprises
    additional generator, storage, and link capacities with
    p_nom_extendable=True. The non-solved network is saved in
-   ``results/run_name/networks``.
+   `results/run_name/networks`.
 
 Steps 2 and 3 are solved recursively for all the planning_horizons included in
-``config/config.yaml``.
+`config/config.yaml`.
 
-Rule overview
---------------
+### Rule overview
 
 - rule add_existing baseyear
 
   The rule add_existing_baseyear loads the network in
-  ``resources/run_name/networks`` and performs the following operations:
+  `resources/run_name/networks` and performs the following operations:
 
   1. Add the conventional, wind and solar power generators that were installed
      before the base year.
 
   2. Add the heating capacities that were installed before the base year.
 
-  The existing conventional generators are retrieved from the `powerplants.csv
-  file
-  <https://pypsa-eur.readthedocs.io/en/latest/preparation/build_powerplants.html?highlight=powerplants>`__
-  generated by pypsa-eur which, in turn, is based on the `powerplantmatching
-  <https://github.com/PyPSA/powerplantmatching>`__ database.
+  The existing conventional generators are retrieved from the [powerplants.csv
+  file](https://pypsa-eur.readthedocs.io/en/latest/preparation/build_powerplants.html?highlight=powerplants)
+  generated by pypsa-eur which, in turn, is based on the [powerplantmatching](https://github.com/PyPSA/powerplantmatching) database.
 
-  Existing wind and solar capacities are retrieved from `IRENA annual statistics
-  <https://www.irena.org/Statistics/Download-Data>`__ and distributed among the
+  Existing wind and solar capacities are retrieved from [IRENA annual statistics](https://www.irena.org/Statistics/Download-Data) and distributed among the
   nodes in a country proportional to capacity factor. (This will be updated to
   include capacity distributions closer to reality.)
 
-  Existing heating capacities are retrieved from the report `Mapping and
+  Existing heating capacities are retrieved from the report [Mapping and
   analyses of the current and future (2020 - 2030) heating/cooling fuel
-  deployment (fossil/renewables)
-  <https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1>`__.
+  deployment (fossil/renewables)](https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1).
 
   The heating capacities are assumed to have a lifetime indicated by the
   parameter lifetime in the configuration file, e.g 25 years. They are assumed
@@ -259,7 +216,7 @@ Rule overview
   2045.
 
   Then, the resulting network is saved in
-  ``resources/run_name/networks``.
+  `resources/run_name/networks`.
 
 - rule add_brownfield
 
@@ -267,5 +224,3 @@ Rule overview
   in the previous time step and add them to the
      network if they are still in operation (i.e., if they fulfill planning
      horizon < commissioned year + lifetime)
-
-
diff --git a/doc/hooks.py b/doc/hooks.py
new file mode 100644
index 0000000000..98852f7829
--- /dev/null
+++ b/doc/hooks.py
@@ -0,0 +1,22 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+import os
+
+import requests
+
+
+def on_page_markdown(markdown, page, config, files, **kwargs):
+    import re
+
+    markdown = re.sub(r"(\[\^[^\]]+\]:.*)\n(\[\^)", r"\1\n\n\2", markdown)
+    return markdown
+
+
+def on_post_build(config, **kwargs):
+    url = "https://zenodo.org/records/14144752/files/map.html?download=1"
+    out = os.path.join(config["site_dir"], "base-network-raw.html")
+    os.makedirs(os.path.dirname(out), exist_ok=True)
+    with open(out, "w") as f:
+        f.write(requests.get(url).text)
diff --git a/doc/index.md b/doc/index.md
index 76429b74ed..2942cfba7e 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -1,49 +1,23 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##################################################################################
-PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
-##################################################################################
+# PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
 
-.. image:: https://img.shields.io/github/v/release/pypsa/pypsa-eur?include_prereleases
-    :alt: GitHub release (latest by date including pre-releases)
-
-.. image:: https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml/badge.svg
-    :target: https://github.com/PyPSA/pypsa-eur/actions
-
-.. image:: https://readthedocs.org/projects/pypsa-eur/badge/?version=latest
-    :target: https://pypsa-eur.readthedocs.io/en/latest/?badge=latest
-    :alt: Documentation
-
-.. image:: https://img.shields.io/github/repo-size/pypsa/pypsa-eur
-    :alt: GitHub repo size
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg
-    :target: https://doi.org/10.5281/zenodo.3520874
-
-.. image:: https://img.shields.io/badge/snakemake-≥7.19-brightgreen.svg?style=flat
-    :target: https://snakemake.readthedocs.io
-    :alt: Snakemake
-
-.. image:: https://img.shields.io/discord/911692131440148490?logo=discord
-    :target: https://discord.gg/AnuJBk23FU
-    :alt: Discord
-
-.. image:: https://api.reuse.software/badge/github.com/pypsa/pypsa-eur
-    :target: https://api.reuse.software/info/github.com/pypsa/pypsa-eur
-    :alt: REUSE
-
-
-|
+![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/pypsa/pypsa-eur?include_prereleases)
+[![CI](https://github.com/pypsa/pypsa-eur/actions/workflows/test.yaml/badge.svg)](https://github.com/PyPSA/pypsa-eur/actions)
+[![Documentation](https://readthedocs.org/projects/pypsa-eur/badge/?version=latest)](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
+![GitHub repo size](https://img.shields.io/github/repo-size/pypsa/pypsa-eur)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
+[![Snakemake](https://img.shields.io/badge/snakemake-≥7.19-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io)
+[![Discord](https://img.shields.io/discord/911692131440148490?logo=discord)](https://discord.gg/AnuJBk23FU)
+[![REUSE](https://api.reuse.software/badge/github.com/pypsa/pypsa-eur)](https://api.reuse.software/info/github.com/pypsa/pypsa-eur)
 
 PyPSA-Eur is an open model dataset of the European energy system at the
 transmission network level that covers the full ENTSO-E area. It covers demand
 and supply for all energy sectors. From version v0.8.0, PyPSA-Eur includes all
 the features from PyPSA-Eur-Sec, which is now deprecated.
 
-Electricity System
-==================
+## Electricity System
 
 The electricity system representation contains alternating current lines at
 and above 220 kV voltage level and all high voltage direct current lines,
@@ -56,14 +30,9 @@ transmission expansion planning studies. The continental scope and highly
 resolved spatial scale enables a proper description of the long-range smoothing
 effects for renewable power generation and their varying resource availability.
 
-.. image:: img/base.png
-    :width: 70%
-    :align: center
-
-|
+![](img/base.png){width=70%}
 
-Sector-Coupled Energy System
-============================
+## Sector-Coupled Energy System
 
 A sector-coupled extension (previously known as **PyPSA-Eur-Sec**, which is now
 deprecated) adds demand and supply for the following sectors: transport, space
@@ -74,33 +43,25 @@ greenhouse gas emitters except waste management, agriculture, forestry and land
 use. The diagram below gives an overview of the sectors and the links between
 them:
 
-.. image:: img/multisector_figure.png
-    :width: 70%
-    :align: center
+![](img/multisector_figure.png){width=70%}
 
-.. note::
+!!! note
     You can find showcases of the model's capabilities in the Supplementary Materials of the
-    Joule paper `The potential role of a hydrogen network in Europe
-    <https://doi.org/10.1016/j.joule.2023.06.016>`__, the Supplementary Materials of another `paper in Joule with a
-    description of the industry sector
-    <https://doi.org/10.1016/j.joule.2022.04.016>`__, or in `a 2021 presentation
-    at EMP-E <https://nworbmot.org/energy/brown-empe.pdf>`__.
+    Joule paper [The potential role of a hydrogen network in Europe](https://doi.org/10.1016/j.joule.2023.06.016), the Supplementary Materials of another [paper in Joule with a
+    description of the industry sector](https://doi.org/10.1016/j.joule.2022.04.016), or in [a 2021 presentation
+    at EMP-E](https://nworbmot.org/energy/brown-empe.pdf).
     The sector-coupled extension of PyPSA-Eur was
-    initially described in the paper `Synergies of sector coupling and transmission
-    reinforcement in a cost-optimised, highly renewable European energy system
-    <https://arxiv.org/abs/1801.05290>`__ (2018) but it differs by being based on the
-    higher resolution electricity transmission model `PyPSA-Eur
-    <https://github.com/PyPSA/pypsa-eur>`__ rather than a one-node-per-country model,
+    initially described in the paper [Synergies of sector coupling and transmission
+    reinforcement in a cost-optimised, highly renewable European energy system](https://arxiv.org/abs/1801.05290) (2018) but it differs by being based on the
+    higher resolution electricity transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a one-node-per-country model,
     and by including biomass, industry, industrial feedstocks, aviation, shipping,
     better carbon management, carbon capture and usage/sequestration, and gas
     networks.
 
-About
-=====
+## About
 
 PyPSA-Eur is designed to be imported into the open energy system modelling
-framework `PyPSA <https://www.pypsa.org>`__ for which `documentation
-<https://pypsa.readthedocs.io>`__ is available as well. However, since the
+framework [PyPSA](https://www.pypsa.org) for which [documentation](https://pypsa.readthedocs.io) is available as well. However, since the
 workflow is modular, it should be easy to adapt the data workflow to other
 modelling frameworks.
 
@@ -110,163 +71,100 @@ provides a full, automated software pipeline to assemble the load-flow-ready
 model from the original datasets, which enables easy replacement and improvement
 of the individual parts.
 
-.. warning::
+!!! warning
     PyPSA-Eur is under active development and has several
-    :doc:`limitations` which
+    [limitations](limitations.md) which
     you should understand before using the model. The Github repository
-    `issues <https://github.com/PyPSA/pypsa-eur/issues>`__ collect known
+    [issues](https://github.com/PyPSA/pypsa-eur/issues) collect known
     topics we are working on. Please feel free to help or make suggestions.
 
-This project is currently maintained by the `Department of Digital
-Transformation in Energy Systems <https://www.tu.berlin/en/ensys>`__ at the
-`Technische Universität Berlin <https://www.tu.berlin>`__. Previous versions were
-developed within the `IAI <http://www.iai.kit.edu>`__ at the `Karlsruhe Institute
-of Technology (KIT) <http://www.kit.edu/english/index.php>`__ which was funded by
-the `Helmholtz Association <https://www.helmholtz.de/en/>`__, and by the
-`Renewable Energy Group
-<https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/>`__
-at `FIAS <https://fias.uni-frankfurt.de/>`__ to carry out simulations for the
-`CoNDyNet project <http://condynet.de/>`__, financed by the `German Federal
-Ministry for Education and Research (BMBF) <https://www.bmbf.de/en/index.html>`__
-as part of the `Stromnetze Research Initiative
-<http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/>`__.
-
-
-Workflow
-========
-
-.. image:: img/workflow.png
-    :class: full-width
-    :align: center
-
-.. note::
-    The graph above was generated using
-    ``pixi run snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png``
+This project is currently maintained by the [Department of Digital
+Transformation in Energy Systems](https://www.tu.berlin/en/ensys) at the
+[Technische Universität Berlin](https://www.tu.berlin). Previous versions were
+developed within the [IAI](http://www.iai.kit.edu) at the [Karlsruhe Institute
+of Technology (KIT)](http://www.kit.edu/english/index.php) which was funded by
+the [Helmholtz Association](https://www.helmholtz.de/en/), and by the
+[Renewable Energy Group](https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/)
+at [FIAS](https://fias.uni-frankfurt.de/) to carry out simulations for the
+[CoNDyNet project](http://condynet.de/), financed by the [German Federal
+Ministry for Education and Research (BMBF)](https://www.bmbf.de/en/index.html)
+as part of the [Stromnetze Research Initiative](http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/).
+
+## Workflow
 
+[![Workflow](img/workflow.svg)](img/workflow.svg)
 
-Learning Energy System Modelling
-================================
+!!! note
+    The graph above was generated using
+    `pixi run snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/workflow.svg`
+
+## Learning Energy System Modelling
 
 If you are (relatively) new to energy system modelling and optimisation and plan
 to use PyPSA-Eur, the following resources are one way to get started in addition
 to reading this documentation.
 
-- Documentation of `PyPSA <https://pypsa.readthedocs.io>`__, the package for
+- Documentation of [PyPSA](https://pypsa.readthedocs.io), the package for
   modelling energy systems which PyPSA-Eur uses under the hood.
-- Course on `Energy Systems <https://nworbmot.org/courses/es-22/>`__ given at
-  Technical University of Berlin by `Prof. Dr. Tom Brown <https://nworbmot.org>`__.
-- Course on `Data Science for Energy System Modelling <https://fneum.github.io/data-science-for-esm/intro.html>`__
-  given at Technical University of Berlin by `Dr. Fabian Neumann <https://neumann.fyi>`__.
-
+- Course on [Energy Systems](https://nworbmot.org/courses/es-22/) given at
+  Technical University of Berlin by [Prof. Dr. Tom Brown](https://nworbmot.org).
+- Course on [Data Science for Energy System Modelling](https://fneum.github.io/data-science-for-esm/intro.html)
+  given at Technical University of Berlin by [Dr. Fabian Neumann](https://neumann.fyi).
 
-Citing PyPSA-Eur
-================
+## Citing PyPSA-Eur
 
 If you use PyPSA-Eur for your research, we would appreciate it if you would cite one of the following papers:
 
-For electricity-only studies: ::
-
-    @article{PyPSAEur,
-        author = "Jonas Hoersch and Fabian Hofmann and David Schlachtberger and Tom Brown",
-        title = "PyPSA-Eur: An open optimisation model of the European transmission system",
-        journal = "Energy Strategy Reviews",
-        volume = "22",
-        pages = "207--215",
-        year = "2018",
-        doi = "10.1016/j.esr.2018.08.012",
-        eprint = "1806.01613"
-    }
-
-For sector-coupling studies: ::
-
-    @misc{PyPSAEurSec,
-        author = "Fabian Neumann and Elisabeth Zeyen and Marta Victoria and Tom Brown",
-        title = "The potential role of a hydrogen network in Europe",
-        journal = "Joule",
-        volume = "7",
-        pages = "1--25",
-        year = "2023",
-        eprint = "2207.05816",
-        doi = "10.1016/j.joule.2023.06.016",
-    }
-
-For sector-coupling studies with pathway optimisation: ::
-
-    @article{SpeedTechnological2022,
-        title = "Speed of technological transformations required in {Europe} to achieve different climate goals",
-        author = "Marta Victoria and Elisabeth Zeyen and Tom Brown",
-        journal = "Joule",
-        volume = "6",
-        number = "5",
-        pages = "1066--1086",
-        year = "2022",
-        doi = "10.1016/j.joule.2022.04.016",
-        eprint = "2109.09563",
-    }
-
+For electricity-only studies:
+
+```bibtex
+@article{PyPSAEur,
+    author = "Jonas Hoersch and Fabian Hofmann and David Schlachtberger and Tom Brown",
+    title = "PyPSA-Eur: An open optimisation model of the European transmission system",
+    journal = "Energy Strategy Reviews",
+    volume = "22",
+    pages = "207--215",
+    year = "2018",
+    doi = "10.1016/j.esr.2018.08.012",
+    eprint = "1806.01613"
+}
+```
+
+For sector-coupling studies:
+
+```bibtex
+@misc{PyPSAEurSec,
+    author = "Fabian Neumann and Elisabeth Zeyen and Marta Victoria and Tom Brown",
+    title = "The potential role of a hydrogen network in Europe",
+    journal = "Joule",
+    volume = "7",
+    pages = "1--25",
+    year = "2023",
+    eprint = "2207.05816",
+    doi = "10.1016/j.joule.2023.06.016",
+}
+```
+
+For sector-coupling studies with pathway optimisation:
+
+```bibtex
+@article{SpeedTechnological2022,
+    title = "Speed of technological transformations required in {Europe} to achieve different climate goals",
+    author = "Marta Victoria and Elisabeth Zeyen and Tom Brown",
+    journal = "Joule",
+    volume = "6",
+    number = "5",
+    pages = "1066--1086",
+    year = "2022",
+    doi = "10.1016/j.joule.2022.04.016",
+    eprint = "2109.09563",
+}
+```
 
 If you want to cite a specific PyPSA-Eur version, each release of PyPSA-Eur is stored on Zenodo with a release-specific DOI:
 
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg
-   :target: https://doi.org/10.5281/zenodo.3520874
-
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
 
-Operating Systems
-=================
+## Operating Systems
 
 The PyPSA-Eur workflow is continuously tested for Linux, macOS and Windows (WSL only).
-
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Getting Started
-
-   introduction
-   installation
-   tutorial
-   tutorial_sector
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Configuration
-
-   wildcards
-   configuration
-   foresight
-   costs
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Rules Overview
-
-   retrieve
-   preparation
-   sector
-   solving
-   oetc
-   plotting
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Implementation details for sector-coupled systems
-
-   spatial_resolution
-   supply_demand
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: References
-
-   release_notes
-   licenses
-   data_sources
-   validation
-   limitations
-   contributing
-   support
-   publications
diff --git a/doc/installation.md b/doc/installation.md
index d68fcbd232..1c9a95a065 100644
--- a/doc/installation.md
+++ b/doc/installation.md
@@ -1,146 +1,129 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _installation:
+# Installation {#installation}
 
-##########################################
-Installation
-##########################################
+The subsequently described installation steps are demonstrated as shell commands, where the path before the `%` sign denotes the
+directory in which the commands following the `%` should be entered.
 
-The subsequently described installation steps are demonstrated as shell commands, where the path before the ``%`` sign denotes the
-directory in which the commands following the ``%`` should be entered.
+## Clone the Repository
 
-Clone the Repository
-====================
+First of all, clone the [PyPSA-Eur repository](https://github.com/PyPSA/pypsa-eur) using the version control system `git` in the command line.
 
-First of all, clone the `PyPSA-Eur repository <https://github.com/PyPSA/pypsa-eur>`__ using the version control system ``git`` in the command line.
+```console
+$ git clone https://github.com/PyPSA/pypsa-eur.git
+```
 
-.. code:: console
+## Install Python Dependencies {#deps}
 
-    $ git clone https://github.com/PyPSA/pypsa-eur.git
-
-
-.. _deps:
-
-Install Python Dependencies
-===============================
-
-Preferred method: ``pixi``
---------------------------
+### Preferred method: `pixi`
 
 PyPSA-Eur relies on a set of other Python packages to function.
-We manage these using `pixi <https://pixi.sh/latest/>`_.
+We manage these using [pixi](https://pixi.sh/latest/).
 Once pixi is installed, you can activate the project environment for your operating system and have access to all the PyPSA-Eur dependencies from the command line:
 
-.. code:: console
-
-    $ pixi shell
+```console
+$ pixi shell
+```
 
-.. tip::
-    You can also set up automatic shell activation in several popular editors (e.g. in `VSCode <https://pixi.sh/dev/integration/editor/vscode/>`_ or `Zed <https://pixi.sh/dev/integration/editor/zed/>`_).
-    Refer to the ``pixi`` documentation for the most up-to-date options.
+!!! tip
+    You can also set up automatic shell activation in several popular editors (e.g. in [VSCode](https://pixi.sh/dev/integration/editor/vscode/) or [Zed](https://pixi.sh/dev/integration/editor/zed/)).
+    Refer to the `pixi` documentation for the most up-to-date options.
 
-.. note::
-    We don't currently support linux operating systems using ARM processors since certain packages, such as ``PySCIPOpt``, require being built from source.
+!!! note
+    We don't currently support linux operating systems using ARM processors since certain packages, such as `PySCIPOpt`, require being built from source.
 
-Legacy method: ``conda``
-------------------------
+### Legacy method: `conda`
 
-If you cannot access ``pixi`` on your machine, you can also install using `conda <https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html>`_ (or ``mamba``/``micromamba``).
+If you cannot access `pixi` on your machine, you can also install using [conda](https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html) (or `mamba`/`micromamba`).
 To do so, we highly recommend you install from one of our platform-specific environment files:
 
 * For Intel/AMD processors:
-
-  - Linux: ``envs/default_linux-64.pin.txt``
-  - macOS: ``envs/default_osx-64.pin.txt``
-  - Windows: ``envs/default_win-64.pin.txt``
+    - Linux: `envs/default_linux-64.pin.txt`
+    - macOS: `envs/default_osx-64.pin.txt`
+    - Windows: `envs/default_win-64.pin.txt`
 
 * For ARM processors:
+    - macOS (Apple Silicon): `envs/default_osx-arm64.pin.txt`
+    - Linux (ARM): Currently not supported via lock files; requires building certain packages, such as `PySCIPOpt`, from source
 
-  - macOS (Apple Silicon): ``envs/default_osx-arm64.pin.txt``
-  - Linux (ARM): Currently not supported via lock files; requires building certain packages, such as ``PySCIPOpt``, from source
-
-.. code:: console
+```console
+$ conda update conda
 
-    $ conda update conda
-
-    $ conda create -n pypsa-eur --file envs/default_linux-64.pin.txt # select the appropriate file for your platform
-
-    $ conda activate pypsa-eur
+$ conda create -n pypsa-eur --file envs/default_linux-64.pin.txt # select the appropriate file for your platform
 
+$ conda activate pypsa-eur
+```
 
 These platform-specific files have locked dependencies, to ensure reproducibility.
 If you are having difficulties with the above files, you can also install directly from the un-locked environment YAML file (not recommended):
 
-.. code:: console
-
-    $ conda update conda
+```console
+$ conda update conda
 
-    $ conda env create -f envs/environment.yaml
-
-    $ conda activate pypsa-eur
+$ conda env create -f envs/environment.yaml
 
+$ conda activate pypsa-eur
+```
 
-Install a Solver
-================
+## Install a Solver
 
 PyPSA passes the PyPSA-Eur network model to an external solver for performing the optimisation.
 PyPSA is known to work with the free software
 
-- `HiGHS <https://highs.dev/>`__
-- `Cbc <https://projects.coin-or.org/Cbc#DownloadandInstall>`__
-- `GLPK <https://www.gnu.org/software/glpk/>`__ (`WinGLKP <http://winglpk.sourceforge.net/>`__)
-- `SCIP <https://scipopt.github.io/PySCIPOpt/docs/html/index.html>`__
+- [HiGHS](https://highs.dev/)
+- [Cbc](https://projects.coin-or.org/Cbc#DownloadandInstall)
+- [GLPK](https://www.gnu.org/software/glpk/) ([WinGLKP](http://winglpk.sourceforge.net/))
+- [SCIP](https://scipopt.github.io/PySCIPOpt/docs/html/index.html)
 
 and the non-free, commercial software (for some of which free academic licenses are available)
 
-- `Gurobi <https://www.gurobi.com/documentation/quickstart.html>`__
-- `CPLEX <https://www.ibm.com/products/ilog-cplex-optimization-studio>`__
-- `FICO Xpress Solver <https://www.fico.com/de/products/fico-xpress-solver>`__
+- [Gurobi](https://www.gurobi.com/documentation/quickstart.html)
+- [CPLEX](https://www.ibm.com/products/ilog-cplex-optimization-studio)
+- [FICO Xpress Solver](https://www.fico.com/de/products/fico-xpress-solver)
 
 For installation instructions of these solvers for your operating system, follow the links above.
 Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems, and
 it might be the case that you can only retrieve solutions by using a commercial solver.
 Nevertheless, you can still use open-source solvers for smaller problems.
 
-.. seealso::
-    `Instructions how to install a solver in the documentation of PyPSA <https://pypsa.readthedocs.io/en/latest/installation.html#getting-a-solver-for-linear-optimisation>`__
+!!! note "See also"
+    [Instructions how to install a solver in the documentation of PyPSA](https://pypsa.readthedocs.io/en/latest/installation.html#getting-a-solver-for-linear-optimisation)
 
-.. note::
-    The rules :mod:`cluster_network` solves a mixed-integer quadratic optimisation problem for clustering.
+!!! note
+    The rules [cluster_network][] solves a mixed-integer quadratic optimisation problem for clustering.
     The open-source solvers HiGHS, Cbc and GlPK cannot handle this. A fallback to SCIP is implemented in this case, which is included in the standard environment specifications.
-    For an open-source solver setup install for example HiGHS **and** SCIP in your ``conda`` environment on OSX/Linux.
+    For an open-source solver setup install for example HiGHS **and** SCIP in your `conda` environment on OSX/Linux.
 
     To install the default solver Gurobi, run
 
-    .. code:: console
-
-        $ conda activate pypsa-eur
-        $ conda install -c gurobi gurobi"=12.0.1"
+    ```console
+    $ conda activate pypsa-eur
+    $ conda install -c gurobi gurobi"=12.0.1"
+    ```
 
-    Additionally, you need to setup your `Gurobi license <https://www.gurobi.com/solutions/licensing/>`__.
+    Additionally, you need to setup your [Gurobi license](https://www.gurobi.com/solutions/licensing/).
 
-    To use Xpress, install the ``xpress`` Python package and ensure you have:
+    To use Xpress, install the `xpress` Python package and ensure you have:
 
-    - ``XPRESSDIR`` environment variable pointing to your Xpress installation
-    - ``XPAUTH_PATH`` environment variable pointing to your license directory
+    - `XPRESSDIR` environment variable pointing to your Xpress installation
+    - `XPAUTH_PATH` environment variable pointing to your license directory
     - A valid Xpress license file
 
     Then configure the solver in your config file:
 
-    .. code:: yaml
-
-        solving:
-          solver:
-            name: xpress
-            options: xpress-default
+    ```yaml
+    solving:
+      solver:
+        name: xpress
+        options: xpress-default
+    ```
 
     For GPU-accelerated solving, use:
 
-    .. code:: yaml
-
-        solving:
-          solver:
-            name: xpress
-            options: xpress-gpu
+    ```yaml
+    solving:
+      solver:
+        name: xpress
+        options: xpress-gpu
+    ```
diff --git a/doc/introduction.md b/doc/introduction.md
index 91b42a3596..bea713e96e 100644
--- a/doc/introduction.md
+++ b/doc/introduction.md
@@ -1,45 +1,36 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _intro:
+# Introduction {#intro}
 
-##########################################
- Introduction
-##########################################
+<iframe width="832" height="468" src="https://www.youtube.com/embed/nnAmOqJlGmk" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
-.. raw:: html
+!!! note
+    Find the introductory slides [here](https://docs.google.com/presentation/d/1s4xkeGfR_IqArmceRaYgZUl0UFLymGXwjz6SRWBtNnE/edit).
 
-    <iframe width="832" height="468" src="https://www.youtube.com/embed/nnAmOqJlGmk" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
-.. note::
-    Find the introductory slides `here <https://docs.google.com/presentation/d/1s4xkeGfR_IqArmceRaYgZUl0UFLymGXwjz6SRWBtNnE/edit>`__.
-
-.. warning::
+!!! warning
     The video only introduces the electricity-only part of PyPSA-Eur.
 
-Workflow
-=========
+## Workflow
 
 The generation of the model is controlled by the open workflow management system
-`Snakemake <https://snakemake.github.io/>`__. In a nutshell, the ``Snakefile``
-declares for each script in the ``scripts`` directory a rule which describes
+[Snakemake](https://snakemake.github.io/). In a nutshell, the `Snakefile`
+declares for each script in the `scripts` directory a rule which describes
 which files the scripts consume and produce (their corresponding input and
-output files). The ``snakemake`` tool then runs the scripts in the correct order
-according to the rules' input and output dependencies. Moreover, ``snakemake``
+output files). The `snakemake` tool then runs the scripts in the correct order
+according to the rules' input and output dependencies. Moreover, `snakemake`
 will track what parts of the workflow have to be regenerated when files or
 scripts were modified.
 
 For instance, an invocation to
 
-.. code:: console
-
-    $ snakemake -call results/networks/base_s_128_elec_.nc
+```console
+$ snakemake -call results/networks/base_s_128_elec_.nc
+```
 
 follows this dependency graph
 
-.. image:: img/intro-workflow.png
-    :class: full-width
+[![Intro workflow](img/intro-workflow.svg)](img/intro-workflow.svg)
 
 to solve an electricity system model.
 
@@ -47,55 +38,48 @@ The **blocks** represent the individual rules which are required to create the
 file referenced in the command above. The **arrows** indicate the outputs from
 preceding rules which another rule takes as input data.
 
-.. note::
+!!! note
     The dependency graph was generated using
-    ``pixi run snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png``
-
-For the use of ``snakemake``, it makes sense to familiarize yourself quickly
-with the `basic tutorial
-<https://snakemake.readthedocs.io/en/stable/tutorial/basics.html>`__ and then
-read carefully through the documentation of the `command line interface
-<https://snakemake.readthedocs.io/en/stable/executing/cli.html>`__, noting the
-arguments ``-j``, ``-c``, ``-f``, ``-F``, ``-n``, ``-r``, ``--dag`` and ``-t``
+    `pixi run snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/intro-workflow.svg`
+
+For the use of `snakemake`, it makes sense to familiarize yourself quickly
+with the [basic tutorial](https://snakemake.readthedocs.io/en/stable/tutorial/basics.html) and then
+read carefully through the documentation of the [command line interface](https://snakemake.readthedocs.io/en/stable/executing/cli.html), noting the
+arguments `-j`, `-c`, `-f`, `-F`, `-n`, `-r`, `--dag` and `-t`
 in particular.
 
-Scenarios, Configuration and Modification
-=========================================
+## Scenarios, Configuration and Modification
 
-PyPSA-Eur can be used to run multiple scenarios using the `wildcards feature
-<https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards>`__
-of ``snakemake``. Wildcards allow to generalise a rule to produce all files that
-follow a `regular expression
-<https://en.wikipedia.org/wiki/Regular_expression>`__ pattern, which defines
+PyPSA-Eur can be used to run multiple scenarios using the [wildcards feature](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards)
+of `snakemake`. Wildcards allow to generalise a rule to produce all files that
+follow a [regular expression](https://en.wikipedia.org/wiki/Regular_expression) pattern, which defines
 a particular scenario. One can think of a wildcard as a parameter that shows
 up in the input/output file names and thereby determines which rules to run,
 what data to retrieve and what files to produce. Details are explained in
-:ref:`wildcards` and :ref:`scenario`.
+[Wildcards](wildcards.md) and [Scenarios](configuration.md#scenario).
 
 The model also has several further configuration options collected in the
-``config/config.default.yaml`` file located in the root directory, which can be
+`config/config.default.yaml` file located in the root directory, which can be
 handled with another scenario management. Options are explained in
-:ref:`config`.
-
-Folder Structure
-================
-
-- ``scripts``: Includes all the Python scripts executed by the ``snakemake`` rules.
-- ``rules``: Includes all the ``snakemake`` rules loaded in the ``Snakefile``.
-- ``envs``: Includes option ``conda`` environment specifications to run the workflow (using ``pixi`` instead is our recommended approach).
-- ``data``: Includes input data that is not produced by any ``snakemake`` rule.
-- ``cutouts``: Stores raw weather data cutouts from ``atlite``.
-- ``resources``: Stores intermediate results of the workflow which can be picked up again by subsequent rules.
-- ``results``: Stores the solved PyPSA network data, summary files and plots.
-- ``logs``: Stores log files.
-- ``benchmarks``: Stores ``snakemake`` benchmarks.
-- ``doc``: Includes the documentation of PyPSA-Eur.
-- ``docker``: Includes some optional Docker environments.
-
-System Requirements
-===================
+[Configuration](configuration.md#config).
+
+## Folder Structure
+
+- `scripts`: Includes all the Python scripts executed by the `snakemake` rules.
+- `rules`: Includes all the `snakemake` rules loaded in the `Snakefile`.
+- `envs`: Includes option `conda` environment specifications to run the workflow (using `pixi` instead is our recommended approach).
+- `data`: Includes input data that is not produced by any `snakemake` rule.
+- `cutouts`: Stores raw weather data cutouts from `atlite`.
+- `resources`: Stores intermediate results of the workflow which can be picked up again by subsequent rules.
+- `results`: Stores the solved PyPSA network data, summary files and plots.
+- `logs`: Stores log files.
+- `benchmarks`: Stores `snakemake` benchmarks.
+- `doc`: Includes the documentation of PyPSA-Eur.
+- `docker`: Includes some optional Docker environments.
+
+## System Requirements
 
 Building the model with the scripts in this repository runs on a regular computer.
 But optimising for investment and operation decisions across many scenarios requires a strong interior-point solver
-like `Gurobi <http://www.gurobi.com/>`__ or `CPLEX <https://www.ibm.com/analytics/cplex-optimizer>`__ with more memory.
-Open-source solvers like `HiGHS <https://highs.dev>` can also be used for smaller problems.
+like [Gurobi](http://www.gurobi.com/) or [CPLEX](https://www.ibm.com/analytics/cplex-optimizer) with more memory.
+Open-source solvers like [HiGHS](https://highs.dev) can also be used for smaller problems.
diff --git a/doc/licenses.md b/doc/licenses.md
index bde8966d33..99b4d0cda6 100644
--- a/doc/licenses.md
+++ b/doc/licenses.md
@@ -1,20 +1,16 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Licenses
-##########################################
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
+# Licenses
 
 PyPSA-Eur is released under multiple licenses:
 
-* All original source code is licensed as free software under `MIT <LICENSES/MIT.txt>`__.
-* The documentation is licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__.
-* Configuration files are mostly licensed under `CC0-1.0 <LICENSES/CC0-1.0.txt>`__.
-* Data files are licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__.
+* All original source code is licensed as free software under [MIT](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/MIT.txt).
+* The documentation is licensed under [CC-BY-4.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC-BY-4.0.txt).
+* Configuration files are mostly licensed under [CC0-1.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC0-1.0.txt).
+* Data files are licensed under [CC-BY-4.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC-BY-4.0.txt).
 
-The PyPSA-Eur repository uses `REUSE by the FSFE <https://reuse.software/>`__.
-You can find the specific licenses for each file in their SPDX identifiers or in the `REUSE.toml <REUSE.toml>`__ file.
+The PyPSA-Eur repository uses [REUSE by the FSFE](https://reuse.software/).
+You can find the specific licenses for each file in their SPDX identifiers or in the [REUSE.toml](https://github.com/pypsa/pypsa-eur/blob/master/REUSE.toml) file.
 
-Additionally, different licenses and terms of use also apply to the various input data that are not part of the repository  (see :doc:`data_sources`).
\ No newline at end of file
+Additionally, different licenses and terms of use also apply to the various input data that are not part of the repository (see [Data Sources](data_sources.md)).
diff --git a/doc/limitations.md b/doc/limitations.md
index 61b8a2e879..5c22aa56e8 100644
--- a/doc/limitations.md
+++ b/doc/limitations.md
@@ -1,10 +1,7 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Limitations
-##########################################
+# Limitations
 
 While the benefit of an openly available, functional and partially validated
 model of the European energy system is high, many approximations have
@@ -13,12 +10,10 @@ The limitations of the dataset are listed below,
 both as a warning to the user and as an encouragement to assist in
 improving the approximations.
 
-.. warning::
+!!! warning
+    This list of limitations is incomplete and will be added to over time.
 
-  This list of limitations is incomplete and will be added to over time.
-
-.. seealso::
-  See also the `GitHub repository issues <https://github.com/PyPSA/pypsa-eur/issues>`__.
+See also the [GitHub repository issues](https://github.com/PyPSA/pypsa-eur/issues).
 
 - **Electricity transmission network topology:**
   The grid data is based on a map of the ENTSO-E area that is known
diff --git a/doc/macros.py b/doc/macros.py
new file mode 100644
index 0000000000..32031d6856
--- /dev/null
+++ b/doc/macros.py
@@ -0,0 +1,65 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+from pathlib import Path
+
+import yaml
+
+ROOT = Path(__file__).resolve().parents[1]
+CONFIG_PATH = ROOT / "config" / "config.default.yaml"
+PLOTTING_CONFIG_PATH = ROOT / "config" / "plotting.default.yaml"
+
+
+def _dump(node):
+    text = yaml.safe_dump(node, sort_keys=False, default_flow_style=False, width=4096)
+    return text.rstrip("\n")
+
+
+def _resolve(data, path):
+    node = data
+    for part in path:
+        node = node[part]
+    return node
+
+
+def define_env(env):
+    _cache = {}
+
+    def _load(source):
+        if source not in _cache:
+            if source == "plotting":
+                path = PLOTTING_CONFIG_PATH
+            elif source == "config":
+                path = CONFIG_PATH
+            else:
+                path = ROOT / "config" / source
+            _cache[source] = yaml.safe_load(path.read_text())
+        return _cache[source]
+
+    @env.macro
+    def yaml_section(*paths, source="config", with_key=True):
+        data = _load(source)
+
+        if not paths:
+            return _dump(data)
+
+        parts_list = [p.split(".") for p in paths]
+
+        if len(paths) == 1:
+            parts = parts_list[0]
+            node = _resolve(data, parts)
+            if with_key:
+                return _dump({parts[-1]: node})
+            return _dump(node)
+
+        parents = {tuple(p[:-1]) for p in parts_list}
+        if len(parents) != 1:
+            raise ValueError("paths must share a common parent")
+        parent_path = list(parents.pop())
+        children = [p[-1] for p in parts_list]
+        parent_node = _resolve(data, parent_path)
+        subset = {ck: parent_node[ck] for ck in children}
+        if with_key and parent_path:
+            return _dump({parent_path[-1]: subset})
+        return _dump(subset)
diff --git a/doc/make.bat b/doc/make.bat
deleted file mode 100644
index 0da06e8a5a..0000000000
--- a/doc/make.bat
+++ /dev/null
@@ -1,266 +0,0 @@
-REM SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-REM SPDX-License-Identifier: MIT
-
-@ECHO OFF
-
-REM Command file for Sphinx documentation
-
-if "%SPHINXBUILD%" == "" (
-	set SPHINXBUILD=sphinx-build
-)
-set BUILDDIR=_build
-set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% .
-set I18NSPHINXOPTS=%SPHINXOPTS% .
-if NOT "%PAPER%" == "" (
-	set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS%
-	set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS%
-)
-
-if "%1" == "" goto help
-
-if "%1" == "help" (
-	:help
-	echo.Please use `make ^<target^>` where ^<target^> is one of
-	echo.  html       to make standalone HTML files
-	echo.  dirhtml    to make HTML files named index.html in directories
-	echo.  singlehtml to make a single large HTML file
-	echo.  pickle     to make pickle files
-	echo.  json       to make JSON files
-	echo.  htmlhelp   to make HTML files and a HTML help project
-	echo.  qthelp     to make HTML files and a qthelp project
-	echo.  devhelp    to make HTML files and a Devhelp project
-	echo.  epub       to make an epub
-	echo.  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter
-	echo.  text       to make text files
-	echo.  man        to make manual pages
-	echo.  texinfo    to make Texinfo files
-	echo.  gettext    to make PO message catalogs
-	echo.  changes    to make an overview over all changed/added/deprecated items
-	echo.  xml        to make Docutils-native XML files
-	echo.  pseudoxml  to make pseudoxml-XML files for display purposes
-	echo.  linkcheck  to check all external links for integrity
-	echo.  doctest    to run all doctests embedded in the documentation if enabled
-	echo.  coverage   to run coverage check of the documentation if enabled
-	goto end
-)
-
-if "%1" == "clean" (
-	for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i
-	del /q /s %BUILDDIR%\*
-	goto end
-)
-
-
-REM Check if sphinx-build is available and fallback to Python version if any
-%SPHINXBUILD% 1>NUL 2>NUL
-if errorlevel 9009 goto sphinx_python
-goto sphinx_ok
-
-:sphinx_python
-
-set SPHINXBUILD=python -m sphinx.__init__
-%SPHINXBUILD% 2> nul
-if errorlevel 9009 (
-	echo.
-	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
-	echo.installed, then set the SPHINXBUILD environment variable to point
-	echo.to the full path of the 'sphinx-build' executable. Alternatively you
-	echo.may add the Sphinx directory to PATH.
-	echo.
-	echo.If you don't have Sphinx installed, grab it from
-	echo.http://sphinx-doc.org/
-	exit /b 1
-)
-
-:sphinx_ok
-
-
-if "%1" == "html" (
-	%SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/html.
-	goto end
-)
-
-if "%1" == "dirhtml" (
-	%SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml.
-	goto end
-)
-
-if "%1" == "singlehtml" (
-	%SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml.
-	goto end
-)
-
-if "%1" == "pickle" (
-	%SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the pickle files.
-	goto end
-)
-
-if "%1" == "json" (
-	%SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the JSON files.
-	goto end
-)
-
-if "%1" == "htmlhelp" (
-	%SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run HTML Help Workshop with the ^
-.hhp project file in %BUILDDIR%/htmlhelp.
-	goto end
-)
-
-if "%1" == "qthelp" (
-	%SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run "qcollectiongenerator" with the ^
-.qhcp project file in %BUILDDIR%/qthelp, like this:
-	echo.^> qcollectiongenerator %BUILDDIR%\qthelp\PyPSA.qhcp
-	echo.To view the help file:
-	echo.^> assistant -collectionFile %BUILDDIR%\qthelp\PyPSA.ghc
-	goto end
-)
-
-if "%1" == "devhelp" (
-	%SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished.
-	goto end
-)
-
-if "%1" == "epub" (
-	%SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The epub file is in %BUILDDIR%/epub.
-	goto end
-)
-
-if "%1" == "latex" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; the LaTeX files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdf" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf
-	cd %~dp0
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdfja" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf-ja
-	cd %~dp0
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "text" (
-	%SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The text files are in %BUILDDIR%/text.
-	goto end
-)
-
-if "%1" == "man" (
-	%SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The manual pages are in %BUILDDIR%/man.
-	goto end
-)
-
-if "%1" == "texinfo" (
-	%SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo.
-	goto end
-)
-
-if "%1" == "gettext" (
-	%SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The message catalogs are in %BUILDDIR%/locale.
-	goto end
-)
-
-if "%1" == "changes" (
-	%SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.The overview file is in %BUILDDIR%/changes.
-	goto end
-)
-
-if "%1" == "linkcheck" (
-	%SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Link check complete; look for any errors in the above output ^
-or in %BUILDDIR%/linkcheck/output.txt.
-	goto end
-)
-
-if "%1" == "doctest" (
-	%SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Testing of doctests in the sources finished, look at the ^
-results in %BUILDDIR%/doctest/output.txt.
-	goto end
-)
-
-if "%1" == "coverage" (
-	%SPHINXBUILD% -b coverage %ALLSPHINXOPTS% %BUILDDIR%/coverage
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Testing of coverage in the sources finished, look at the ^
-results in %BUILDDIR%/coverage/python.txt.
-	goto end
-)
-
-if "%1" == "xml" (
-	%SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The XML files are in %BUILDDIR%/xml.
-	goto end
-)
-
-if "%1" == "pseudoxml" (
-	%SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml.
-	goto end
-)
-
-:end
diff --git a/doc/oetc.md b/doc/oetc.md
index 5fa309ff94..444e098462 100644
--- a/doc/oetc.md
+++ b/doc/oetc.md
@@ -1,24 +1,17 @@
-..
-  SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-  SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-OETC Integration
-##########################################
+# OETC Integration
 
 The OETC platform allows PyPSA-Eur to leverage cloud-based resources for
 solving energy system models. This integration enables solving of optimization problems
 using remote compute resources when local computational capacity is insufficient.
 
-.. note::
-
-   Using OETC is **optional** and not required to run PyPSA-Eur.
+!!! note
 
-.. _oetc_overview:
+    Using OETC is **optional** and not required to run PyPSA-Eur.
 
-Overview
-========
+## Overview {#oetc_overview}
 
 OETC provides a cloud-based optimization service that can handle PyPSA networks by:
 
@@ -27,70 +20,63 @@ OETC provides a cloud-based optimization service that can handle PyPSA networks
 - Automatically managing authentication and resource allocation
 - Providing configurable compute resources (CPU cores, disk space)
 
-The integration is implemented through the ``linopy.oetc`` module and is configured
+The integration is implemented through the `linopy.oetc` module and is configured
 within the PyPSA-Eur solving configuration.
 
-.. _oetc_setup:
-
-Setup and Authentication
-========================
+## Setup and Authentication {#oetc_setup}
 
 To use OETC with PyPSA-Eur, you need to:
 
 1. **Set up environment variables** for authentication based on your OETC credentials:
 
-   .. code:: bash
-
-       export OETC_EMAIL="your-email@example.com"
-       export OETC_PASSWORD="your-password"
+   ```bash
+   export OETC_EMAIL="your-email@example.com"
+   export OETC_PASSWORD="your-password"
+   ```
 
-2. **Configure OETC settings** in your configuration file (see :ref:`oetc_config`).
+2. **Configure OETC settings** in your configuration file (see [Configuration](#oetc_config)).
 
-.. _oetc_config:
+## Configuration {#oetc_config}
 
-Configuration
-=============
+OETC integration is configured within the `solving` section of your configuration file.
+Add an `oetc` subsection to enable cloud-based optimization:
 
-OETC integration is configured within the ``solving`` section of your configuration file.
-Add an ``oetc`` subsection to enable cloud-based optimization:
+```yaml
+solving:
+  # ... other solving options ...
+  oetc:
+    name: "job-name" # Arbitrary human readable job identifier
+    authentication_server_url: "https://auth.oetc.example.com"
+    orchestrator_server_url: "https://orchestrator.oetc.example.com"
+    compute_provider: "GCP"  # Currently only GCP is supported
+    cpu_cores: 4 # This also sets the amount of RAM by a factor 8
+    disk_space_gb: 20
+```
 
-.. code:: yaml
+!!! note
 
-    solving:
-      # ... other solving options ...
-      oetc:
-        name: "job-name" # Arbitrary human readable job identifier
-        authentication_server_url: "https://auth.oetc.example.com"
-        orchestrator_server_url: "https://orchestrator.oetc.example.com"
-        compute_provider: "GCP"  # Currently only GCP is supported
-        cpu_cores: 4 # This also sets the amount of RAM by a factor 8
-        disk_space_gb: 20
+    The `solver` and `solver_options` are automatically passed from the main
+    solving configuration and do not need to be specified in the OETC section.
 
-.. note::
-
-   The ``solver`` and ``solver_options`` are automatically passed from the main
-   solving configuration and do not need to be specified in the OETC section.
-
-.. _oetc_usage:
-
-Usage
-=====
+## Usage {#oetc_usage}
 
 Once configured, OETC integration works transparently with the standard PyPSA-Eur
 workflow. If a oetc configuration is present, PyPSA-Eur will automatically use
 the OETC platform for the model optimization during the solve network rule.
 
 An example of a log entry when using OETC:
-.. code::
-    INFO:linopy.oetc:OETC - Signing in...
-    INFO:linopy.oetc:OETC - Signed in
-    INFO:linopy.oetc:OETC - Fetching user GCP credentials...
-    INFO:linopy.oetc:OETC - Fetched user GCP credentials
-    INFO:linopy.oetc:OETC - Submitting compute job...
-    INFO:linopy.oetc:OETC - Compute job 992616b6-0f24-4ab5-8675-ba8098d795fa started
-    INFO:linopy.oetc:OETC - Waiting for job 992616b6-0f24-4ab5-8675-ba8098d795fa to complete...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 30 seconds...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 45 seconds...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa completed successfully!
-    INFO:linopy.oetc:OETC - Model solved successfully. Status: ok
-    INFO:linopy.oetc:OETC - Objective value: 3.11e+07
\ No newline at end of file
+
+```
+INFO:linopy.oetc:OETC - Signing in...
+INFO:linopy.oetc:OETC - Signed in
+INFO:linopy.oetc:OETC - Fetching user GCP credentials...
+INFO:linopy.oetc:OETC - Fetched user GCP credentials
+INFO:linopy.oetc:OETC - Submitting compute job...
+INFO:linopy.oetc:OETC - Compute job 992616b6-0f24-4ab5-8675-ba8098d795fa started
+INFO:linopy.oetc:OETC - Waiting for job 992616b6-0f24-4ab5-8675-ba8098d795fa to complete...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 30 seconds...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 45 seconds...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa completed successfully!
+INFO:linopy.oetc:OETC - Model solved successfully. Status: ok
+INFO:linopy.oetc:OETC - Objective value: 3.11e+07
+```
diff --git a/doc/plotting.md b/doc/plotting.md
index 71201d5850..4f1f175df8 100644
--- a/doc/plotting.md
+++ b/doc/plotting.md
@@ -1,105 +1,81 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Plotting and Summaries
-##########################################
+# Plotting and Summaries
 
 
-Rule ``make_summary``
-========================
+## Rule `make_summary`
 
-.. automodule:: make_summary
+::: make_summary
 
 
-Rule ``make_global_summary``
-========================
+## Rule `make_global_summary`
 
-.. automodule:: make_global_summary
+::: make_global_summary
 
-Rule ``make_cumulative_costs``
-==============================
+## Rule `make_cumulative_costs`
 
-.. automodule:: make_cumulative_costs
+::: make_cumulative_costs
 
-.. _summary_plot:
+## Rule `plot_summary` {#summary_plot}
 
-Rule ``plot_summary``
-========================
+::: plot_summary
 
-.. automodule:: plot_summary
+## Rule `plot_base_network`
 
-Rule ``plot_base_network``
-=================================================
+::: plot_base_network
 
-.. automodule:: plot_base_network
+## Rule `plot_power_network_clustered`
 
-Rule ``plot_power_network_clustered``
-=================================================
+::: plot_power_network_clustered
 
-.. automodule:: plot_power_network_clustered
 
 
+## Rule `plot_power_network` {#map_plot}
 
-.. _map_plot:
+::: plot_power_network
 
-Rule ``plot_power_network``
-===========================
+## Rule `plot_power_network_perfect`
 
-.. automodule:: plot_power_network
+::: plot_power_network_perfect
 
-Rule ``plot_power_network_perfect``
-===================================
+## Rule `plot_hydrogen_network`
 
-.. automodule:: plot_power_network_perfect
+::: plot_hydrogen_network
 
-Rule ``plot_hydrogen_network``
-==============================
+## Rule `plot_gas_network`
 
-.. automodule:: plot_hydrogen_network
+::: plot_gas_network
 
-Rule ``plot_gas_network``
-=========================
+## Rule `plot_balance_map`
 
-.. automodule:: plot_gas_network
+::: plot_balance_map
 
-Rule ``plot_balance_map``
-=================================
+## Rule `plot_heat_source_map`
 
-.. automodule:: plot_balance_map
+::: plot_heat_source_map
 
-Rule ``plot_heat_source_map``
-=================================
+## Rule `plot_balance_timeseries`
 
-.. automodule:: plot_heat_source_map
+::: plot_balance_timeseries
 
-Rule ``plot_balance_timeseries``
-=================================
+## Rule `plot_heatmap_timeseries`
 
-.. automodule:: plot_balance_timeseries
+::: plot_heatmap_timeseries
 
-Rule ``plot_heatmap_timeseries``
-=================================
+## Rule `plot_base_statistics`
 
-.. automodule:: plot_heatmap_timeseries
+<!-- ::: plot_base_statistics (module not found) -->
 
-Rule ``plot_base_statistics``
-=================================
+## Rule `build_ambient_air_temperature_yearly_average`
 
-.. automodule:: plot_base_statistics
+::: build_ambient_air_temperature_yearly_average
 
-Rule ``build_ambient_air_temperature_yearly_average``
-======================================================
+## Rule `plot_cop_profiles`
 
-.. automodule:: build_ambient_air_temperature_yearly_average
+<!-- ::: plot_cop_profiles (directory module, not importable) -->
 
-Rule ``plot_cop_profiles``
-===========================
+## Rule `plot_interactive_bus_balance`
 
-.. automodule:: plot_cop_profiles
-
-Rule ``plot_interactive_bus_balance``
-======================================
-
-.. automodule:: plot_interactive_bus_balance
+::: plot_interactive_bus_balance
diff --git a/doc/preparation.md b/doc/preparation.md
index a6cce4d5bb..bd5f4c39eb 100644
--- a/doc/preparation.md
+++ b/doc/preparation.md
@@ -1,214 +1,148 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Building Electricity Networks
-##########################################
+# Building Electricity Networks
 
-The preparation process of the PyPSA-Eur energy system model consists of a group of ``snakemake``
+The preparation process of the PyPSA-Eur energy system model consists of a group of `snakemake`
 rules which are briefly outlined and explained in detail in the sections below.
 
 Not all data dependencies are shipped with the git repository.
 Instead we provide separate data bundles which can be obtained
-using the ``retrieve*`` rules (:ref:`data`).
+using the `retrieve*` rules ([Retrieving Data](retrieve.md)).
 Having downloaded the necessary data, it can build a base PyPSA network with the following rules
 
-- :mod:`build_shapes` generates GeoJSON files with shapes of the countries, exclusive economic zones and `NUTS3 <https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics>`__ areas.
-- :mod:`base_network` builds and stores the base network with all buses, HVAC lines and HVDC links, and determines `Voronoi cells <https://en.wikipedia.org/wiki/Voronoi_diagram>`__ for all substations.
+- [build_shapes][] generates GeoJSON files with shapes of the countries, exclusive economic zones and [NUTS3](https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics) areas.
+- [base_network][] builds and stores the base network with all buses, HVAC lines and HVDC links, and determines [Voronoi cells](https://en.wikipedia.org/wiki/Voronoi_diagram) for all substations.
 
 The network is then simplified by preparing **approximations** of the network model, for which it is computationally viable to co-optimize generation, storage and transmission capacities.
 
 
-- :mod:`simplify_network` transforms the transmission grid to a 380 kV only equivalent network, while
-- :mod:`cluster_network` uses a `k-means <https://en.wikipedia.org/wiki/K-means_clustering>`__ based clustering technique to partition the network into a given number of zones and then reduce the network to a representation with one bus per zone.
+- [simplify_network][] transforms the transmission grid to a 380 kV only equivalent network, while
+- [cluster_network][] uses a [k-means](https://en.wikipedia.org/wiki/K-means_clustering) based clustering technique to partition the network into a given number of zones and then reduce the network to a representation with one bus per zone.
 
 The simplification and clustering steps are described in detail in the paper
 
-- Jonas Hörsch and Tom Brown. `The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios <https://arxiv.org/abs/1705.07617>`__), *14th International Conference on the European Energy Market*, 2017. `arXiv:1705.07617 <https://arxiv.org/abs/1705.07617>`__, `doi:10.1109/EEM.2017.7982024 <https://doi.org/10.1109/EEM.2017.7982024>`__.
+- Jonas Hörsch and Tom Brown. [The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios](https://arxiv.org/abs/1705.07617)), *14th International Conference on the European Energy Market*, 2017. [arXiv:1705.07617](https://arxiv.org/abs/1705.07617), [doi:10.1109/EEM.2017.7982024](https://doi.org/10.1109/EEM.2017.7982024).
 
 Then, the process continues by calculating conventional power plant capacities, potentials, and per-unit availability time series for variable renewable energy carriers and hydro power plants with the following rules:
 
-- :mod:`build_powerplants` for today's thermal power plant capacities using `powerplantmatching <https://github.com/PyPSA/powerplantmatching>`__ allocating these to the matching clustered region for each powerplant,
-- :mod:`determine_availability_matrix` for the land eligibility analysis of each cutout grid cell for PV, onshore and offshore wind,
-- :mod:`build_renewable_profiles` for the hourly capacity factors and installation potentials constrained by land-use in each substation's Voronoi cell for PV, onshore and offshore wind, and
-- :mod:`build_hydro_profile` for the hourly per-unit hydro power availability time series.
+- [build_powerplants][] for today's thermal power plant capacities using [powerplantmatching](https://github.com/PyPSA/powerplantmatching) allocating these to the matching clustered region for each powerplant,
+- [determine_availability_matrix][] for the land eligibility analysis of each cutout grid cell for PV, onshore and offshore wind,
+- [build_renewable_profiles][] for the hourly capacity factors and installation potentials constrained by land-use in each substation's Voronoi cell for PV, onshore and offshore wind, and
+- [build_hydro_profile][] for the hourly per-unit hydro power availability time series.
 
-The rules :mod:`add_electricity` and :mod:`prepare_network` then tie all the different data inputs
-together into a detailed PyPSA network stored in ``networks/base_s_{clusters}_elec.nc``.
+The rules [add_electricity][] and [prepare_network][] then tie all the different data inputs
+together into a detailed PyPSA network stored in `networks/base_s_{clusters}_elec.nc`.
 
-.. _cutout:
+## Rule `build_cutout` {#cutout}
 
-Rule ``build_cutout``
-=============================
+::: build_cutout
 
-.. automodule:: build_cutout
 
+## Rule `build_osm_boundaries`
 
-Rule ``build_osm_boundaries``
-=================================
+::: build_osm_boundaries
 
-.. automodule:: build_osm_boundaries
+## Rule `clean_osm_data`
 
-Rule ``clean_osm_data``
-=============================
+::: clean_osm_data
 
-.. automodule:: clean_osm_data
 
+## Rule `build_osm_network`
 
-Rule ``build_osm_network``
-=============================
+::: build_osm_network
 
-.. automodule:: build_osm_network
+## Rule `build_tyndp_network`
 
-Rule ``build_tyndp_network``
-=============================
+::: build_tyndp_network
 
-.. automodule:: build_tyndp_network
+## Rule `base_network` {#base}
 
-.. _base:
+::: base_network
 
-Rule ``base_network``
-=============================
+## Rule `build_natura`
 
-.. automodule:: base_network
+::: build_natura
 
-Rule ``build_natura``
-=============================
 
-.. automodule:: build_natura
+## Rule `build_transmission_projects`
 
+::: build_transmission_projects
 
-Rule ``build_transmission_projects``
-====================================
+## Rule `build_line_rating`
 
-.. automodule:: build_transmission_projects
+::: build_line_rating
 
-Rule ``build_line_rating``
-=================================
+## Rule `add_transmission_projects_and_dlr`
 
-.. automodule:: build_line_rating
+::: add_transmission_projects_and_dlr
 
-Rule ``add_transmission_projects_and_dlr``
-===========================================
+## Rule `build_bidding_zones`
 
-.. automodule:: add_transmission_projects_and_dlr
+::: build_bidding_zones
 
-Rule ``build_bidding_zones``
-=============================
+## Rule `build_shapes` {#shapes}
 
-.. automodule:: build_bidding_zones
+::: build_shapes
 
-.. _shapes:
 
-Rule ``build_shapes``
-=============================
+## Rule `build_electricity_demand_base`
 
-.. automodule:: build_shapes
+::: build_electricity_demand_base
 
-Rule ``build_gdp_pop_non_nuts3``
-================================
+## Rule `build_electricity_demand` {#electricity_demand}
 
-.. automodule:: build_gdp_pop_non_nuts3
+::: build_electricity_demand
 
+## Rule `build_hac_features`
 
-Rule ``build_electricity_demand_base``
-=======================================
+::: build_hac_features
 
-.. automodule:: build_electricity_demand_base
+## Rule `simplify_network` {#simplify}
 
-.. _electricity_demand:
+::: simplify_network
 
-Rule ``build_electricity_demand``
-==================================
+## Rule `cluster_network` {#cluster}
 
+::: cluster_network
 
-.. automodule:: build_electricity_demand
 
-Rule ``build_hac_features``
-=================================
+## Rule `build_monthly_prices` {#monthlyprices}
 
-.. automodule:: build_hac_features
+::: build_monthly_prices
 
-.. _simplify:
+## Rule `build_ship_raster` {#ship}
 
-Rule ``simplify_network``
-============================
+::: build_ship_raster
 
-.. automodule:: simplify_network
+## Rule `determine_availability_matrix_MD_UA` {#availabilitymatrixmdua}
 
-.. _cluster:
+::: determine_availability_matrix_MD_UA
 
-Rule ``cluster_network``
-===========================
 
-.. automodule:: cluster_network
+## Rule `determine_availability_matrix` {#renewableprofiles}
 
+::: determine_availability_matrix
 
-.. _monthlyprices:
 
-Rule ``build_monthly_prices``
-=============================
+## Rule `build_renewable_profiles`
 
-.. automodule:: build_monthly_prices
+::: build_renewable_profiles
 
-.. _ship:
 
-Rule ``build_ship_raster``
-===============================
+## Rule `build_hydro_profile` {#hydroprofiles}
 
+::: build_hydro_profile
 
-.. automodule:: build_ship_raster
+## Rule `build_powerplants` {#powerplants}
 
-.. _availabilitymatrixmdua:
+::: build_powerplants
 
-Rule ``determine_availability_matrix_MD_UA``
-============================================
+## Rule `add_electricity` {#electricity}
 
-.. automodule:: determine_availability_matrix_MD_UA
+::: add_electricity
 
+## Rule `prepare_network` {#prepare}
 
-.. _renewableprofiles:
-
-Rule ``determine_availability_matrix``
-======================================
-
-.. automodule:: determine_availability_matrix
-
-
-.. _renewableprofiles:
-
-Rule ``build_renewable_profiles``
-====================================
-
-.. automodule:: build_renewable_profiles
-
-
-.. _hydroprofiles:
-
-Rule ``build_hydro_profile``
-===============================
-
-.. automodule:: build_hydro_profile
-
-.. _powerplants:
-
-Rule ``build_powerplants``
-=============================
-
-.. automodule:: build_powerplants
-
-.. _electricity:
-
-Rule ``add_electricity``
-=============================
-
-.. automodule:: add_electricity
-
-.. _prepare:
-
-Rule ``prepare_network``
-===========================
-
-.. automodule:: prepare_network
-
+::: prepare_network
diff --git a/doc/publications.md b/doc/publications.md
index d610a78d8b..18a72329e5 100644
--- a/doc/publications.md
+++ b/doc/publications.md
@@ -1,10 +1,6 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Publications
-##########################################
+# Publications
 
-.. bibliography::
-   :all:
+\full_bibliography
diff --git a/doc/release_notes.md b/doc/release_notes.md
index d2b877bc60..38bf9ad417 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -1,409 +1,403 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Release Notes
-##########################################
+# Release Notes
 
-.. Upcoming Release
-.. =================
-
-* Fix: ``atlite.plot_availability_matrix`` config option for :mod:`determine_availability_matrix` and :mod:`determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently (https://github.com/PyPSA/pypsa-eur/pull/2173).
+<!-- Upcoming Release -->
+<!-- ================= -->
+* Fix: `atlite.plot_availability_matrix` config option for `determine_availability_matrix` and `determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently ([#2173](https://github.com/PyPSA/pypsa-eur/pull/2173)).
 
 * Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
 
-* Fix: Re-introduce capital costs for non-bicharging discharge links in ``add_electricity.py``, e.g. fuel cells.
+* Fix: Re-introduce capital costs for non-bicharging discharge links in `add_electricity.py`, e.g. fuel cells.
 
-* The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases (https://github.com/PyPSA/pypsa-eur/pull/2130).
+* The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases ([#2130](https://github.com/PyPSA/pypsa-eur/pull/2130)).
 
-* The industry reference year and the ammonia production data have been updated to 2023 (https://github.com/PyPSA/pypsa-eur/pull/2103)
+* The industry reference year and the ammonia production data have been updated to 2023 ([#2103](https://github.com/PyPSA/pypsa-eur/pull/2103))
 
-* refactor: Use scripts path provider consistently (https://github.com/PyPSA/pypsa-eur/pull/2093).
+* refactor: Use scripts path provider consistently ([#2093](https://github.com/PyPSA/pypsa-eur/pull/2093)).
 
-* Fix: Lower the lower bound used to group the power plants in ``add_existing_baseyear`` (https://github.com/PyPSA/pypsa-eur/pull/2097). This now includes all power plants built since 1900.
+* Fix: Lower the lower bound used to group the power plants in `add_existing_baseyear` ([#2097](https://github.com/PyPSA/pypsa-eur/pull/2097)). This now includes all power plants built since 1900.
 
-* feat: Add options for carrier specific load shedding and load sinks configurable via `load_shedding` and `load_sinks` respectively (https://github.com/PyPSA/pypsa-eur/pull/2105).
+* feat: Add options for carrier specific load shedding and load sinks configurable via `load_shedding` and `load_sinks` respectively ([#2105](https://github.com/PyPSA/pypsa-eur/pull/2105)).
 
-* perf: Optimize dask settings for computing weather-dependent profiles (https://github.com/PyPSA/pypsa-eur/pull/2137).
+* perf: Optimize dask settings for computing weather-dependent profiles ([#2137](https://github.com/PyPSA/pypsa-eur/pull/2137)).
 
-* Fix: correct definition of `marginal_cost` for those links were `vom` values from technology cost datasets are defined per units of output (e.g., electricity) (https://github.com/PyPSA/pypsa-eur/pull/2154).
+* Fix: correct definition of `marginal_cost` for those links were `vom` values from technology cost datasets are defined per units of output (e.g., electricity) ([#2154](https://github.com/PyPSA/pypsa-eur/pull/2154)).
 
-* feat: Improve the config validation to cover scenario management (https://github.com/PyPSA/pypsa-eur/pull/2155).
+* feat: Improve the config validation to cover scenario management ([#2155](https://github.com/PyPSA/pypsa-eur/pull/2155)).
 
-- Added solar rooftop ratio setting to ``add_existing_baseyear`` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
+- Added solar rooftop ratio setting to `add_existing_baseyear` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
 
-PyPSA-Eur v2026.02.0 (18th February 2026)
-=========================================
+## PyPSA-Eur v2026.02.0 (18th February 2026)
 
 **Features**
 
 * **Updated energy balances:**
 
-  - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
-    (https://github.com/PyPSA/pypsa-eur/pull/1976).
+    - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
+      ([#1976](https://github.com/PyPSA/pypsa-eur/pull/1976)).
 
-  - Build energy balances from Eurostat API data with new rule :mod:`build_eurostat_balances`
-    (https://github.com/PyPSA/pypsa-eur/pull/1987).
+    - Build energy balances from Eurostat API data with new rule [build_eurostat_balances][]
+      ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
 
-  - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
-    from SFOE website in :mod:`build_swiss_energy_balances` (https://github.com/PyPSA/pypsa-eur/pull/2057).
+    - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
+      from SFOE website in `build_swiss_energy_balances` ([#2057](https://github.com/PyPSA/pypsa-eur/pull/2057)).
 
 * **Better electricity demand data:**
 
-  - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires ``ENTSOE_API_KEY``)
-    and NESO data portal for Great Britain and Northern Ireland (https://github.com/PyPSA/pypsa-eur/pull/1828).
+    - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires `ENTSOE_API_KEY`)
+      and NESO data portal for Great Britain and Northern Ireland ([#1828](https://github.com/PyPSA/pypsa-eur/pull/1828)).
 
-  - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
-    (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
-    (https://github.com/PyPSA/pypsa-eur/pull/1829).
+    - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
+      (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
+      ([#1829](https://github.com/PyPSA/pypsa-eur/pull/1829)).
 
 * **Updated electricity network data:**
 
-  - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
-    (start_date, construction tags), and pure DC buses (switching stations).
-    Rebuilt interactive network map using PyDeck/deck.gl (https://github.com/PyPSA/pypsa-eur/pull/2052, https://github.com/PyPSA/pypsa-eur/pull/2030).
+    - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
+      (start_date, construction tags), and pure DC buses (switching stations).
+      Rebuilt interactive network map using PyDeck/deck.gl ([#2052](https://github.com/PyPSA/pypsa-eur/pull/2052), [#2030](https://github.com/PyPSA/pypsa-eur/pull/2030)).
 
-  - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
-    (https://github.com/PyPSA/pypsa-eur/pull/2064, https://github.com/PyPSA/pypsa-eur/pull/2054).
+    - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
+      ([#2064](https://github.com/PyPSA/pypsa-eur/pull/2064), [#2054](https://github.com/PyPSA/pypsa-eur/pull/2054)).
 
-  - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
-    (https://github.com/PyPSA/pypsa-eur/pull/1646).
+    - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
+      ([#1646](https://github.com/PyPSA/pypsa-eur/pull/1646)).
 
 * **Improved power plants and industrial sites data:**
 
-  - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block (https://github.com/PyPSA/pypsa-eur/pull/2040).
+    - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
 
-  - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
-    ``from_gem`` to ``from_powerplantmatching``. New ``from_irenastat`` setting supplements capacity estimation
-    (https://github.com/PyPSA/pypsa-eur/pull/2050).
+    - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
+      `from_gem` to `from_powerplantmatching`. New `from_irenastat` setting supplements capacity estimation
+      ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-  - Waste-to-energy plants now included in electricity-only networks (https://github.com/PyPSA/pypsa-eur/pull/2050).
+    - Waste-to-energy plants now included in electricity-only networks ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-  - Updated GEM steel plant tracker and initial GEM cement plant tracker (https://github.com/PyPSA/pypsa-eur/pull/1830).
+    - Updated GEM steel plant tracker and initial GEM cement plant tracker ([#1830](https://github.com/PyPSA/pypsa-eur/pull/1830)).
 
 * **Improved storage:**
 
-  - Added new storage technologies, including iron-air batteries. These can be configured as
-    either store-link combinations or standalone storage units. Implemented in both :mod:`add_electricity` and
-    :mod:`prepare_sector_network` (https://github.com/PyPSA/pypsa-eur/pull/1961).
+    - Added new storage technologies, including iron-air batteries. These can be configured as
+      either store-link combinations or standalone storage units. Implemented in both [add_electricity][] and
+      [prepare_sector_network][] ([#1961](https://github.com/PyPSA/pypsa-eur/pull/1961)).
 
-  - Existing battery storage capacities from Powerplantmatching can be added as ``StorageUnit`` components using
-    plant-level duration data (https://github.com/PyPSA/pypsa-eur/pull/2071).
+    - Existing battery storage capacities from Powerplantmatching can be added as `StorageUnit` components using
+      plant-level duration data ([#2071](https://github.com/PyPSA/pypsa-eur/pull/2071)).
 
 * **Updated technology parameters:**
 
-  - Added technology-data v0.13.4 to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
+    - Added technology-data v0.13.4 to data versions ([#1985](https://github.com/PyPSA/pypsa-eur/pull/1985)).
 
 * **Better data, configuration and dependency management:**
 
-  - Data versions now version controlled in ``data/versions.csv`` with configurable per-scenario specifications
-    (https://github.com/PyPSA/pypsa-eur/pull/1675, https://github.com/PyPSA/pypsa-eur/pull/1963).
+    - Data versions now version controlled in `data/versions.csv` with configurable per-scenario specifications
+      ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675), [#1963](https://github.com/PyPSA/pypsa-eur/pull/1963)).
 
-  - Use validation schema for configuration files. Schema contains default values;
-    changes to ``config/config.default.yaml`` now require schema updates
-    (https://github.com/PyPSA/pypsa-eur/pull/1912).
+    - Use validation schema for configuration files. Schema contains default values;
+      changes to `config/config.default.yaml` now require schema updates
+      ([#1912](https://github.com/PyPSA/pypsa-eur/pull/1912)).
 
-  - Move to Pixi for robust cross-platform dependency management (https://github.com/PyPSA/pypsa-eur/pull/1886).
+    - Move to Pixi for robust cross-platform dependency management ([#1886](https://github.com/PyPSA/pypsa-eur/pull/1886)).
 
 * Updated CO2 emission allowance prices to use Instrat API for real-time pricing data
-  (https://github.com/PyPSA/pypsa-eur/pull/2035).
+  ([#2035](https://github.com/PyPSA/pypsa-eur/pull/2035)).
 
-* Added CO2 emission prices configurable per planning horizon as marginal cost on ``co2 atmosphere`` Store
-  (https://github.com/PyPSA/pypsa-eur/pull/1897).
+* Added CO2 emission prices configurable per planning horizon as marginal cost on `co2 atmosphere` Store
+  ([#1897](https://github.com/PyPSA/pypsa-eur/pull/1897)).
 
-* Nuclear energy availability factors now stored with annual data per country in ``data/nuclear_p_max_pu.csv``;
-  model automatically selects year nearest to weather year (https://github.com/PyPSA/pypsa-eur/pull/2072).
+* Nuclear energy availability factors now stored with annual data per country in `data/nuclear_p_max_pu.csv`;
+  model automatically selects year nearest to weather year ([#2072](https://github.com/PyPSA/pypsa-eur/pull/2072)).
 
-* Added interactive HTML balance maps in ``results/maps/interactive/`` with configurable settings
-  (https://github.com/PyPSA/pypsa-eur/pull/1935).
+* Added interactive HTML balance maps in `results/maps/interactive/` with configurable settings
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
 
-* Added ``solving.options.store_model`` config option to store the linopy model as NetCDF after solving
-  (not supported with rolling horizon) (https://github.com/PyPSA/pypsa-eur/pull/2001).
+* Added `solving.options.store_model` config option to store the linopy model as NetCDF after solving
+  (not supported with rolling horizon) ([#2001](https://github.com/PyPSA/pypsa-eur/pull/2001)).
 
 * Added residential heat demand-side management (DSM) based on SmartEN study methodology
-  (https://github.com/PyPSA/pypsa-eur/pull/1857).
+  ([#1857](https://github.com/PyPSA/pypsa-eur/pull/1857)).
 
-* Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings for
-  large-scale problems (https://github.com/PyPSA/pypsa-eur/pull/2006).
+* Xpress solver configuration options (`xpress-default` and `xpress-gpu`) with barrier method settings for
+  large-scale problems ([#2006](https://github.com/PyPSA/pypsa-eur/pull/2006)).
 
-* ``clustering: consider_efficiency_classes`` now accepts list of quantile boundaries (e.g. ``[0.1, 0.5, 0.9]``)
-  in addition to boolean; default unchanged (https://github.com/PyPSA/pypsa-eur/pull/2075).
+* `clustering: consider_efficiency_classes` now accepts list of quantile boundaries (e.g. `[0.1, 0.5, 0.9]`)
+  in addition to boolean; default unchanged ([#2075](https://github.com/PyPSA/pypsa-eur/pull/2075)).
 
 * Added existing biomass decentral/rural residential and services heating capacity
-  (https://github.com/PyPSA/pypsa-eur/pull/1872).
+  ([#1872](https://github.com/PyPSA/pypsa-eur/pull/1872)).
 
-* Introduced method to overwrite costs via ``costs:custom_cost_fn`` for techno-economic assumptions
-  (https://github.com/PyPSA/pypsa-eur/pull/1752, https://github.com/PyPSA/pypsa-eur/pull/1879).
+* Introduced method to overwrite costs via `costs:custom_cost_fn` for techno-economic assumptions
+  ([#1752](https://github.com/PyPSA/pypsa-eur/pull/1752), [#1879](https://github.com/PyPSA/pypsa-eur/pull/1879)).
 
-* Added minimum unit dispatch setting option for electrolysis (https://github.com/PyPSA/pypsa-eur/pull/1859).
+* Added minimum unit dispatch setting option for electrolysis ([#1859](https://github.com/PyPSA/pypsa-eur/pull/1859)).
 
-* Added integration with OETC platform (https://github.com/PyPSA/pypsa-eur/pull/1831).
+* Added integration with OETC platform ([#1831](https://github.com/PyPSA/pypsa-eur/pull/1831)).
 
 **Changes**
 
-* Removed config options ``sector:MWh_MeOH_per_tCO2``, ``MWh_MeOH_per_MWh_H2``, and ``MWh_MeOH_per_MWh_elec``
-  in favour of technology-data repository values (https://github.com/PyPSA/pypsa-eur/pull/2043).
+* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec`
+  in favour of technology-data repository values ([#2043](https://github.com/PyPSA/pypsa-eur/pull/2043)).
 
 * Rewritten power plant mapping to model regions/buses using spatial joins instead of nearest-bus approach.
   Necessary due to administrative clustering conformance changes
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Setting ``from_gem`` renamed to ``from_powerplantmatching``
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Setting `from_gem` renamed to `from_powerplantmatching`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Function ``rescale_idees_from_eurostat`` removed (https://github.com/PyPSA/pypsa-eur/pull/1987).
+* Function `rescale_idees_from_eurostat` removed ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
 
-* Removed ``shared_cutouts`` configuration entry; cutouts always shared. Use differently named cutouts for
-  scenario-specific temporal/spatial resolution (https://github.com/PyPSA/pypsa-eur/pull/1675).
+* Removed `shared_cutouts` configuration entry; cutouts always shared. Use differently named cutouts for
+  scenario-specific temporal/spatial resolution ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
 
-* Cutouts relocated to ``data/cutouts/`` directory; will trigger re-download/rebuild. Move existing cutouts
-  manually if needed (https://github.com/PyPSA/pypsa-eur/pull/1675).
+* Cutouts relocated to `data/cutouts/` directory; will trigger re-download/rebuild. Move existing cutouts
+  manually if needed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
 
-* Cutout bounds must now be explicitly defined in configuration; inference from ``regions_onshore`` and
-  ``regions_offshore`` removed (https://github.com/PyPSA/pypsa-eur/pull/1675).
+* Cutout bounds must now be explicitly defined in configuration; inference from `regions_onshore` and
+  `regions_offshore` removed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
 
-* Cutout preparation configuration moved to nested ``prepare_kwargs`` dictionary
-  (https://github.com/PyPSA/pypsa-eur/pull/1675).
+* Cutout preparation configuration moved to nested `prepare_kwargs` dictionary
+  ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
 
-* Configuration options ``enable: retrieve``, ``enable: retrieve_databundle``, and ``enable: retrieve_cost_data``
-  removed; rules always included (https://github.com/PyPSA/pypsa-eur/pull/1675).
+* Configuration options `enable: retrieve`, `enable: retrieve_databundle`, and `enable: retrieve_cost_data`
+  removed; rules always included ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
 
-* Removed ``secrets`` configuration section and Gurobi license credentials from config files to prevent
-  accidental exposure of sensitive data (https://github.com/PyPSA/pypsa-eur/pull/1989).
+* Removed `secrets` configuration section and Gurobi license credentials from config files to prevent
+  accidental exposure of sensitive data ([#1989](https://github.com/PyPSA/pypsa-eur/pull/1989)).
 
 * Configuration schema updater allowing soft-fork changes without modifying base PyPSA-Eur files
-  (https://github.com/PyPSA/pypsa-eur/pull/2056).
+  ([#2056](https://github.com/PyPSA/pypsa-eur/pull/2056)).
 
-* Removed outdated hotfixes in :mod:`build_powerplants` (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Removed outdated hotfixes in [build_powerplants][] ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Updated ``powerplants_filter`` to include plants operational in 2025
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Updated `powerplants_filter` to include plants operational in 2025
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Default year for renewable capacity estimation updated to 2024 (https://github.com/PyPSA/pypsa-eur/pull/2040).
+* Default year for renewable capacity estimation updated to 2024 ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
 
-* Added 2030 to power plant grouping years by default (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Added 2030 to power plant grouping years by default ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Disabled ``powerplantmatching`` phase-out heuristic in :mod:`build_powerplants`
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Disabled `powerplantmatching` phase-out heuristic in [build_powerplants][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Applied scaling of kW and GW to MW for custom costs (https://github.com/PyPSA/pypsa-eur/pull/2023).
+* Applied scaling of kW and GW to MW for custom costs ([#2023](https://github.com/PyPSA/pypsa-eur/pull/2023)).
 
-* Refactored :mod:`solve_network` and :mod:`solve_operations_network` separating optimization problem preparation
-  from solving (https://github.com/PyPSA/pypsa-eur/pull/1956).
+* Refactored [solve_network][] and [solve_operations_network][] separating optimization problem preparation
+  from solving ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
 
-* Added example configurations for rolling horizon and iterative optimization modes in ``config/examples/``
-  (https://github.com/PyPSA/pypsa-eur/pull/1902).
+* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`
+  ([#1902](https://github.com/PyPSA/pypsa-eur/pull/1902)).
 
-* Static balance maps relocated to ``results/maps/static/`` (https://github.com/PyPSA/pypsa-eur/pull/1935).
+* Static balance maps relocated to `results/maps/static/` ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
 
 * Bus carriers for balance maps with spaces must use underscores in configuration for SLURM compatibility
-  (https://github.com/PyPSA/pypsa-eur/pull/1935).
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
 
 * Overpass API configuration options added (URL, retries, timeout, user agent)
-  (https://github.com/PyPSA/pypsa-eur/pull/1940).
+  ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
 
 * Added script path getter helper method for rule inheritance in nested snakefiles
-  (https://github.com/PyPSA/pypsa-eur/pull/1997).
+  ([#1997](https://github.com/PyPSA/pypsa-eur/pull/1997)).
 
 * Updated standing losses for PTES, central TTES, and decentral TTES to latest DEA technology data (v0.13.3)
-  (https://github.com/PyPSA/pypsa-eur/pull/1791).
+  ([#1791](https://github.com/PyPSA/pypsa-eur/pull/1791)).
 
-* Disabled PTES dynamic capacity by default (https://github.com/PyPSA/pypsa-eur/pull/1926).
+* Disabled PTES dynamic capacity by default ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
 
 * Distribution grid experimental feature: voltage levels from 63 kV to 750 kV with example configuration
-  (https://github.com/PyPSA/pypsa-eur/pull/1740).
+  ([#1740](https://github.com/PyPSA/pypsa-eur/pull/1740)).
 
-* Allow expandable CCGTs by default (https://github.com/PyPSA/pypsa-eur/pull/1796).
+* Allow expandable CCGTs by default ([#1796](https://github.com/PyPSA/pypsa-eur/pull/1796)).
 
-* Reverted to PDF files for graphs generated with :mod:`plot_summary` (https://github.com/PyPSA/pypsa-eur/pull/2083).
+* Reverted to PDF files for graphs generated with [plot_summary][] ([#2083](https://github.com/PyPSA/pypsa-eur/pull/2083)).
 
-* Add user-readable messages to each rule (https://github.com/PyPSA/pypsa-eur/pull/1846).
+* Add user-readable messages to each rule ([#1846](https://github.com/PyPSA/pypsa-eur/pull/1846)).
 
-* Running perfect foresight marked as unstable (https://github.com/PyPSA/pypsa-eur/pull/1853).
+* Running perfect foresight marked as unstable ([#1853](https://github.com/PyPSA/pypsa-eur/pull/1853)).
 
-* Empty auto-generated folders (``resources/``, ``results/``) added to repository; ``purge`` rule preserves folders
-  (https://github.com/PyPSA/pypsa-eur/pull/1764).
+* Empty auto-generated folders (`resources/`, `results/`) added to repository; `purge` rule preserves folders
+  ([#1764](https://github.com/PyPSA/pypsa-eur/pull/1764)).
 
-* Improved handling of grouping years in :mod:`add_existing_baseyear`
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Improved handling of grouping years in [add_existing_baseyear][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Automatically update DAGs in documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
+* Automatically update DAGs in documentation ([#1880](https://github.com/PyPSA/pypsa-eur/pull/1880)).
 
 **Bugfixes and Compatibility**
 
 * Fixed offshore wind potentials by disregarding CORINE land cover data for offshore technologies.
 
-* Increased minimum required PyPSA version to 0.33.2 (https://github.com/PyPSA/pypsa-eur/pull/1849).
+* Increased minimum required PyPSA version to 0.33.2 ([#1849](https://github.com/PyPSA/pypsa-eur/pull/1849)).
 
 * Custom storage plugin for Zenodo retrievals to address recurring failures
-  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, https://github.com/PyPSA/pypsa-eur/pull/1913).
+  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, [#1913](https://github.com/PyPSA/pypsa-eur/pull/1913)).
 
 * Fixed unit commitment compatibility for PyPSA v1.0 component API
-  (https://github.com/PyPSA/pypsa-eur/pull/2049).
+  ([#2049](https://github.com/PyPSA/pypsa-eur/pull/2049)).
 
-* Fixed rolling horizon optimisation to work in :mod:`solve_network` in addition to :mod:`solve_operations_network`;
-  drop cyclicity constraints with ``rolling_horizon: true``
-  (https://github.com/PyPSA/pypsa-eur/pull/2070).
+* Fixed rolling horizon optimisation to work in [solve_network][] in addition to [solve_operations_network][];
+  drop cyclicity constraints with `rolling_horizon: true`
+  ([#2070](https://github.com/PyPSA/pypsa-eur/pull/2070)).
 
 * Fixed unit commitment parameters scaling start-up costs with nominal power capacity
-  (https://github.com/PyPSA/pypsa-eur/pull/2080).
+  ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
 
-* Pinned ``grpcio<1.78`` to silence cluttering warnings (https://github.com/PyPSA/pypsa-eur/pull/2080).
+* Pinned `grpcio<1.78` to silence cluttering warnings ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
 
-* Fixed CO2Stop ID column handling across versions (https://github.com/PyPSA/pypsa-eur/pull/2077).
+* Fixed CO2Stop ID column handling across versions ([#2077](https://github.com/PyPSA/pypsa-eur/pull/2077)).
 
-* Ensured renewable carriers not added as conventional power plants if in ``powerplants.csv``
-  (https://github.com/PyPSA/pypsa-eur/pull/2050).
+* Ensured renewable carriers not added as conventional power plants if in `powerplants.csv`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
 
-* Fixed wildcards error in :mod:`clean_osm_data` rule message (https://github.com/PyPSA/pypsa-eur/pull/2022).
+* Fixed wildcards error in [clean_osm_data][] rule message ([#2022](https://github.com/PyPSA/pypsa-eur/pull/2022)).
 
-* Fixed ``None`` default config parameter creating zero offshore wind availability
-  (https://github.com/PyPSA/pypsa-eur/pull/2019).
+* Fixed `None` default config parameter creating zero offshore wind availability
+  ([#2019](https://github.com/PyPSA/pypsa-eur/pull/2019)).
 
 * Fixed virtual bus naming in raw OSM transmission network to use persistent names
-  (https://github.com/PyPSA/pypsa-eur/pull/1956).
+  ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
 
-* Fixed column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
+* Fixed column selection when preparing OSM pre-built releases ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
 
-* Fixed capital cost of ``solar-hsat`` not adjusted to current planning horizon in myopic optimization
-  (https://github.com/PyPSA/pypsa-eur/pull/1965).
+* Fixed capital cost of `solar-hsat` not adjusted to current planning horizon in myopic optimization
+  ([#1965](https://github.com/PyPSA/pypsa-eur/pull/1965)).
 
-* Fixed ``ConsistencyError`` for Links without buses when ``gas_network: true`` but no ``conventional_generation``
-  (https://github.com/PyPSA/pypsa-eur/pull/1971).
+* Fixed `ConsistencyError` for Links without buses when `gas_network: true` but no `conventional_generation`
+  ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
 
-* Fixed ``ConsistencyError`` for Links without buses when ``industry: true`` but no ``conventional_generation`` or
-  ``biomass`` (https://github.com/PyPSA/pypsa-eur/pull/1971).
+* Fixed `ConsistencyError` for Links without buses when `industry: true` but no `conventional_generation` or
+  `biomass` ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
 
-* Fixed ``mock_snakemake`` due to upstream Snakemake API changes requiring ``LoggerManager`` instance
-  (https://github.com/PyPSA/pypsa-eur/pull/1984).
+* Fixed `mock_snakemake` due to upstream Snakemake API changes requiring `LoggerManager` instance
+  ([#1984](https://github.com/PyPSA/pypsa-eur/pull/1984)).
 
-* Fixed compatibility with ``pyogrio>=0.12.0`` in :mod:`build_gas_input_locations` and :mod:`build_gas_network`
-  (https://github.com/PyPSA/pypsa-eur/pull/1955).
+* Fixed compatibility with `pyogrio>=0.12.0` in [build_gas_input_locations][] and [build_gas_network][]
+  ([#1955](https://github.com/PyPSA/pypsa-eur/pull/1955)).
 
 * Fixed PyPSA-Eur use as Snakemake module by ensuring all file paths relative to rule inputs/outputs
-  (https://github.com/PyPSA/pypsa-eur/pull/1967).
+  ([#1967](https://github.com/PyPSA/pypsa-eur/pull/1967)).
 
-* Fixed OSM network building via Overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940).
+* Fixed OSM network building via Overpass API ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
 
-* Fixed parsing of Swiss passenger cars data (https://github.com/PyPSA/pypsa-eur/pull/1934, https://github.com/PyPSA/pypsa-eur/pull/1936).
+* Fixed parsing of Swiss passenger cars data ([#1934](https://github.com/PyPSA/pypsa-eur/pull/1934), [#1936](https://github.com/PyPSA/pypsa-eur/pull/1936)).
 
-* Fixed ``ValueError`` with ``cop_heat_pump`` in :mod:`prepare_sector_network` when ``tim_dep_hp_cop`` is
-  ``false`` (https://github.com/PyPSA/pypsa-eur/pull/1929).
+* Fixed `ValueError` with `cop_heat_pump` in [prepare_sector_network][] when `tim_dep_hp_cop` is
+  `false` ([#1929](https://github.com/PyPSA/pypsa-eur/pull/1929)).
 
-* Fixed OSM raw data cleaning to include ``section`` line relation role (https://github.com/PyPSA/pypsa-eur/pull/1927).
+* Fixed OSM raw data cleaning to include `section` line relation role ([#1927](https://github.com/PyPSA/pypsa-eur/pull/1927)).
 
-* Fixed missing raw OSM HVDC links defined using ``power=circuit`` tag (https://github.com/PyPSA/pypsa-eur/pull/1926).
+* Fixed missing raw OSM HVDC links defined using `power=circuit` tag ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
 
-* Fixed load shedding bugs from incorrect ``sign`` argument in ``n.add`` and ``np.isscalar``
-  (https://github.com/PyPSA/pypsa-eur/pull/1908).
+* Fixed load shedding bugs from incorrect `sign` argument in `n.add` and `np.isscalar`
+  ([#1908](https://github.com/PyPSA/pypsa-eur/pull/1908)).
 
 * Fixed Eurostat data retrieval on Windows by avoiding double temporary file access
-  (https://github.com/PyPSA/pypsa-eur/pull/1825).
+  ([#1825](https://github.com/PyPSA/pypsa-eur/pull/1825)).
 
-* Fixed ``AttributeError`` in :mod:`prepare_sector_network` with single country and cluster
-  (https://github.com/PyPSA/pypsa-eur/pull/1835).
+* Fixed `AttributeError` in [prepare_sector_network][] with single country and cluster
+  ([#1835](https://github.com/PyPSA/pypsa-eur/pull/1835)).
 
-* Fixed ``ValueError`` in :mod:`prepare_sector_network` ``add_storage_and_grids`` with few nodes
-  (https://github.com/PyPSA/pypsa-eur/pull/1780).
+* Fixed `ValueError` in [prepare_sector_network][] `add_storage_and_grids` with few nodes
+  ([#1780](https://github.com/PyPSA/pypsa-eur/pull/1780)).
 
-* Fixed ``AttributeError`` in :mod:`prepare_sector_network` with single country
-  (https://github.com/PyPSA/pypsa-eur/pull/1778).
+* Fixed `AttributeError` in [prepare_sector_network][] with single country
+  ([#1778](https://github.com/PyPSA/pypsa-eur/pull/1778)).
 
-* Fixed ``FileNotFoundError`` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
-  directory level in multiple ``retrieve.smk`` rules (https://github.com/PyPSA/pypsa-eur/pull/1768).
+* Fixed `FileNotFoundError` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
+  directory level in multiple `retrieve.smk` rules ([#1768](https://github.com/PyPSA/pypsa-eur/pull/1768)).
 
 * Fixed heat pump CAPEX allocation to heat bus and removed nominal efficiency from CAPEX calculation
-  (https://github.com/PyPSA/pypsa-eur/pull/1748).
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
 
-* Fixed heat pump COP approximation configuration passing to :mod:`CentralHeatingCopApproximator`
-  (https://github.com/PyPSA/pypsa-eur/pull/1748).
+* Fixed heat pump COP approximation configuration passing to `CentralHeatingCopApproximator`
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
 
-* Fixed ``pandas>=2.3.0`` deprecation warnings (https://github.com/PyPSA/pypsa-eur/pull/1898).
+* Fixed `pandas>=2.3.0` deprecation warnings ([#1898](https://github.com/PyPSA/pypsa-eur/pull/1898)).
 
-* Fixed WDPA links on Windows (https://github.com/PyPSA/pypsa-eur/pull/2008).
+* Fixed WDPA links on Windows ([#2008](https://github.com/PyPSA/pypsa-eur/pull/2008)).
 
-* Fixed WDPA and WDPA Marine data download and extraction (https://github.com/PyPSA/pypsa-eur/issues/2005).
+* Fixed WDPA and WDPA Marine data download and extraction ([#2005](https://github.com/PyPSA/pypsa-eur/issues/2005)).
 
 * Added automatic retry for Zenodo HTTP requests to handle transient errors
-  (https://github.com/PyPSA/pypsa-eur/pull/1861).
+  ([#1861](https://github.com/PyPSA/pypsa-eur/pull/1861)).
 
 * Fixed missing cost name for geothermal-sourced heat pump and allowed in test configs
-  (https://github.com/PyPSA/pypsa-eur/pull/1766).
+  ([#1766](https://github.com/PyPSA/pypsa-eur/pull/1766)).
 
 * Changed error handling for non-extendable heat storage energy-to-power ratio constraints to warning
-  (https://github.com/PyPSA/pypsa-eur/pull/1769).
+  ([#1769](https://github.com/PyPSA/pypsa-eur/pull/1769)).
 
-* Removed snakemake SLURM plugin from Windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
+* Removed snakemake SLURM plugin from Windows installations ([#2009](https://github.com/PyPSA/pypsa-eur/pull/2009)).
 
-* Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
+* Added missing bidding zone data sources to data layer ([#1991](https://github.com/PyPSA/pypsa-eur/pull/1991)).
 
-* Removed pinned environment files mention from pre-commit-config-yaml (https://github.com/PyPSA/pypsa-eur/pull/1837).
+* Removed pinned environment files mention from pre-commit-config-yaml ([#1837](https://github.com/PyPSA/pypsa-eur/pull/1837)).
 
 
-PyPSA-Eur v2025.07.0 (11th July 2025)
-=====================================
+## PyPSA-Eur v2025.07.0 (11th July 2025)
 
 
 **Features**
 
 * Introduce the ability to use the bidding zones as administrative zones for the
-  clustering. This also introduces the ability to create a custom ``busmap``
-  from custom ``busshapes``. To use bidding zones as clustering mode, a ``bz``
-  mode has been introduced for ``administrative`` clustering. This feature is
-  compatible with the general NUTS clustering approach. Custom ``busshapes``
+  clustering. This also introduces the ability to create a custom `busmap`
+  from custom `busshapes`. To use bidding zones as clustering mode, a `bz`
+  mode has been introduced for `administrative` clustering. This feature is
+  compatible with the general NUTS clustering approach. Custom `busshapes`
   must be provided as
-  ``data/busshapes/base_s_{clusters}_{base_network}.geojson``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1578)
+  `data/busshapes/base_s_{clusters}_{base_network}.geojson`.
+  ([#1578](https://github.com/PyPSA/pypsa-eur/pull/1578))
 
 * Added aquifer thermal energy storage (ATES) to district heating. Some
   parameters (CAPEX, standing losses) might require tuning by the user.
   Eligibility computation is simplified. Turned off by default.
-  (https://github.com/PyPSA/pypsa-eur/pull/1665)
+  ([#1665](https://github.com/PyPSA/pypsa-eur/pull/1665))
 
 * Added supplemental heating of thermal energy storage (PTES). This can be
   enabled by setting: ``sector: district_heating: ptes: supplemental_heating:
   true``. To enable a boosting heat pump as the supplemental heating
   technology, use: ``sector: district_heating: ptes: supplemental_heating:
-  booster_heat_pump: true``. (https://github.com/PyPSA/pypsa-eur/pull/1692)
+  booster_heat_pump: true``. ([#1692](https://github.com/PyPSA/pypsa-eur/pull/1692))
 
 **Breaking Changes**
 
 * Consolidated gap-filling strategies options under a new configuration section
-  `load: fill_gaps`. (https://github.com/PyPSA/pypsa-eur/pull/1677)
+  `load: fill_gaps`. ([#1677](https://github.com/PyPSA/pypsa-eur/pull/1677))
 
 * Replaced pinned environment files with conda-lock generated lock files for
   better dependency resolution and cross-platform reproducibility. Deprecated
-  old ``-pinned.yaml`` files with migration instructions. These files will not
+  old `-pinned.yaml` files with migration instructions. These files will not
   be updated anymore and will be removed in a future release.
-  (https://github.com/PyPSA/pypsa-eur/pull/1660)
+  ([#1660](https://github.com/PyPSA/pypsa-eur/pull/1660))
 
 **Changes**
 
-* Adjusted a series of default values in ``config.default.yaml``.
+* Adjusted a series of default values in `config.default.yaml`.
 
 * Non-sequestered high-value chemicals (e.g. plastic waste) is now allocated
   based on the population instead of production. It can be either burned without
   energetic utilization or, optionally, in CHPs.
-  (https://github.com/PyPSA/pypsa-eur/pull/1625)
+  ([#1625](https://github.com/PyPSA/pypsa-eur/pull/1625))
 
 * Allow district heating potentials to be specified as a dictionary, with
   country codes as keys for `district_heating: potential:`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1742)
+  ([#1742](https://github.com/PyPSA/pypsa-eur/pull/1742))
 
-* Added configuration option for setting ``links: p_min_pu``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1637)
+* Added configuration option for setting `links: p_min_pu`.
+  ([#1637](https://github.com/PyPSA/pypsa-eur/pull/1637))
 
-* Use of ``agg_p_nom_limits`` now allows aggregating all ``solar`` electric
-  technologies. Offshore floating wind (``offwind-float``)  was added.
-  (https://github.com/PyPSA/pypsa-eur/pull/1725,
-  https://github.com/PyPSA/pypsa-eur/pull/1727)
+* Use of `agg_p_nom_limits` now allows aggregating all `solar` electric
+  technologies. Offshore floating wind (`offwind-float`)  was added.
+  ([#1725](https://github.com/PyPSA/pypsa-eur/pull/1725),
+  [#1727](https://github.com/PyPSA/pypsa-eur/pull/1727))
 
-* The file ``config/config.yaml`` is now fully optional.
-  (https://github.com/PyPSA/pypsa-eur/pull/1745)
+* The file `config/config.yaml` is now fully optional.
+  ([#1745](https://github.com/PyPSA/pypsa-eur/pull/1745))
 
 * Small plotting improvements.
-  (https://github.com/PyPSA/pypsa-eur/pull/1694https://github.com/PyPSA/pypsa-eur/pull/1727)
+  ([#1694](https://github.com/PyPSA/pypsa-eur/pull/1694)[#1727](https://github.com/PyPSA/pypsa-eur/pull/1727))
 
 * The `plotting|map|color_geomap` was renamed to `plotting|map|geomap_colors` to align
   with the new PyPSA API.
@@ -411,646 +405,639 @@ PyPSA-Eur v2025.07.0 (11th July 2025)
 **Bugfixes and Compatibility**
 
 * Select correct capital costs for floating offshore wind. Previously, the same
-  as for offshore wind were used. (https://github.com/PyPSA/pypsa-eur/pull/1701)
+  as for offshore wind were used. ([#1701](https://github.com/PyPSA/pypsa-eur/pull/1701))
 
 * Efficiency correction for electrobiofuels.
-  (https://github.com/PyPSA/pypsa-eur/pull/1683)
+  ([#1683](https://github.com/PyPSA/pypsa-eur/pull/1683))
 
 * Configuration settings for heat pump COP approximation are now correctly
-  used. (https://github.com/PyPSA/pypsa-eur/pull/1729)
+  used. ([#1729](https://github.com/PyPSA/pypsa-eur/pull/1729))
 
-* In :mod:`add_existing_baseyear`, renewable carriers are only added if listed
-  in ``electricity: renewable_carriers:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1717)
+* In [add_existing_baseyear][], renewable carriers are only added if listed
+  in `electricity: renewable_carriers:`.
+  ([#1717](https://github.com/PyPSA/pypsa-eur/pull/1717))
 
 * Ensure that distribution losses are only deducted from electricity demand when
   distribution losses are modelled.
-  (https://github.com/PyPSA/pypsa-eur/pull/1668)
+  ([#1668](https://github.com/PyPSA/pypsa-eur/pull/1668))
 
-* Sanitize columns in :mod:`add_brownfield`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1676)
+* Sanitize columns in [add_brownfield][].
+  ([#1676](https://github.com/PyPSA/pypsa-eur/pull/1676))
 
 * Adjustments to upcoming PyPSA API changes.
-  (https://github.com/PyPSA/pypsa-eur/pull/1720,
-  https://github.com/PyPSA/pypsa-eur/pull/1750)
+  ([#1720](https://github.com/PyPSA/pypsa-eur/pull/1720),
+  [#1750](https://github.com/PyPSA/pypsa-eur/pull/1750))
 
-* Ensure consistent use of wildcards in :mod:`build_renewable_profiles` for
-  ``run: shared_resources: policy: base``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1641)
+* Ensure consistent use of wildcards in [build_renewable_profiles][] for
+  `run: shared_resources: policy: base`.
+  ([#1641](https://github.com/PyPSA/pypsa-eur/pull/1641))
 
 * Ensure solver logs are written to file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1684)
+  ([#1684](https://github.com/PyPSA/pypsa-eur/pull/1684))
 
 * DAG generation (`rulegraph` and `filegraph`) now correctly utilizes all
   configuration sources (default, file-based, and command-line overrides),
   resolving an issue where visualizations could misrepresent the actual workflow
   execution plan. SVG output format has also been added for these graphs, and
   error handling during graph generation has been enhanced.
-  (https://github.com/PyPSA/pypsa-eur/pull/1678)
+  ([#1678](https://github.com/PyPSA/pypsa-eur/pull/1678))
 
-* Chore: Replace licensing information in ``.reuse/dep5`` with ``REUSE.toml`` to
+* Chore: Replace licensing information in `.reuse/dep5` with `REUSE.toml` to
   be compliant with REUSE 3.2
   (https://reuse.software/spec-3.2/#licensing-information).
-  (https://github.com/PyPSA/pypsa-eur/pull/1739)
+  ([#1739](https://github.com/PyPSA/pypsa-eur/pull/1739))
 
 * Windows compatibility improvements.
-  (https://github.com/PyPSA/pypsa-eur/pull/1602,
-  https://github.com/PyPSA/pypsa-eur/pull/1702)
+  ([#1602](https://github.com/PyPSA/pypsa-eur/pull/1602),
+  [#1702](https://github.com/PyPSA/pypsa-eur/pull/1702))
 
 **Developers Note**
 
-* Scripts now use absolute imports. When using ``mock_snakemake``, adding the
+* Scripts now use absolute imports. When using `mock_snakemake`, adding the
   working directory to the PYTHONPATH or in your IDE is required.
-  (https://github.com/PyPSA/pypsa-eur/pull/1643)
+  ([#1643](https://github.com/PyPSA/pypsa-eur/pull/1643))
 
 
-PyPSA-Eur v2025.04.0 (6th April 2025)
-========================================
+## PyPSA-Eur v2025.04.0 (6th April 2025)
 
 **Features**
 
 
 * Allowing **network clustering based on administrative boundaries** (i.e.,
   NUTS0/country-level to NUTS3).  To make use of this setting, set ``clustering:
-  mode: administrative`` and ``scenario: clusters: ["adm"]``. Optionally,
+  mode: administrative` and `scenario: clusters: ["adm"]``. Optionally,
   include a dictionary of individual country codes and their target NUTS level
   resolution (0 to 3). Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK'
   can only be clustered to level 0 and 1.
-  (https://github.com/PyPSA/pypsa-eur/pull/1502,
-  https://github.com/PyPSA/pypsa-eur/pull/1580)
+  ([#1502](https://github.com/PyPSA/pypsa-eur/pull/1502),
+  [#1580](https://github.com/PyPSA/pypsa-eur/pull/1580))
 
-  - Moved setting ``enable: custom_busmap`` to ``clustering: mode: custom_busmap``.
+    - Moved setting `enable: custom_busmap` to `clustering: mode: custom_busmap`.
 
 * Added support for spanning **multiple consecutive, non-consecutive or
   meteorological (July-June) weather years** in one optimisation model. The
   annualised capital costs, energy limits and loads are multiplied by the number
   of years. To calculate the total annualised system costs, divide the total
   costs by the number of years. To include multiple years, configure the range
-  in ``snapshots:`` and provide the list of associated cutouts in ``atlite:
-  default_cutouts:``. (https://github.com/PyPSA/pypsa-eur/pull/1613)
+  in `snapshots:` and provide the list of associated cutouts in ``atlite:
+  default_cutouts:``. ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
 
-  - All cutout references in ``config.default.yaml`` can now be specified by a
-    list of cutouts which will be concatenated along the time dimension.
+    - All cutout references in `config.default.yaml` can now be specified by a
+      list of cutouts which will be concatenated along the time dimension.
 
-  - All cutout references in ``config.default.yaml`` now default to ``atlite:
-    default_cutout:``.
+    - All cutout references in `config.default.yaml` now default to ``atlite:
+      default_cutout:``.
 
-  - In :mod:`build_hydro_profile`, when subannual periods are used but full-year
-    cutouts are available, the hydro profile is now first calculated for the
-    full year(s) and then sliced to the subannual periods. This is to align
-    better with the normalization process that uses annual EIA statistics.
+    - In [build_hydro_profile][], when subannual periods are used but full-year
+      cutouts are available, the hydro profile is now first calculated for the
+      full year(s) and then sliced to the subannual periods. This is to align
+      better with the normalization process that uses annual EIA statistics.
 
-  - In :mod:`time_aggregation`, the resampling will now be applied separately
-    for each year covered in the snapshots. This prevents snapshots that
-    overflow into the next year, which simplifies running non-contiguous
-    periods.
+    - In [time_aggregation][], the resampling will now be applied separately
+      for each year covered in the snapshots. This prevents snapshots that
+      overflow into the next year, which simplifies running non-contiguous
+      periods.
 
-  - The files ``data/era5-annual-{HDD,runoff}-per-country.csv`` are now daily
-    resolved and were moved into the data bundle
-    ``data/bundle/era5-{HDD,runoff}-per-country.csv``.
+    - The files `data/era5-annual-{HDD,runoff}-per-country.csv` are now daily
+      resolved and were moved into the data bundle
+      `data/bundle/era5-{HDD,runoff}-per-country.csv`.
 
 * Support for multiple **resource classes for wind and solar** to use more
   accurate renewable potentials and time series when the spatial resolution
-  is low (https://github.com/PyPSA/pypsa-eur/pull/1481):
+  is low ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481)):
 
-  - Splits renewable potentials and time series into a configurable number of
-    resource classes per carrier and clustered region. The binning is linear
-    based on the average capacity factors.
+    - Splits renewable potentials and time series into a configurable number of
+      resource classes per carrier and clustered region. The binning is linear
+      based on the average capacity factors.
 
-  - With the setting ``renewables: onwind: resource_classes: 4``, each region
-    would have four onshore wind generators, each with different potential
-    (``p_nom_max``) and capacity factor (``p_max_pu``). The same applies to
-    solar PV and offshore wind.
+    - With the setting `renewables: onwind: resource_classes: 4`, each region
+      would have four onshore wind generators, each with different potential
+      (`p_nom_max`) and capacity factor (`p_max_pu`). The same applies to
+      solar PV and offshore wind.
 
-  - The default number of resource classes is kept at one per cluster.
+    - The default number of resource classes is kept at one per cluster.
 
-  - In :mod:`build_renewable_profiles`, a new dimension "bin" is added to the
-    output (``xarray.Dataset``). The resource classes are numbered from 0
-    (lowest) to N (highest).
+    - In [build_renewable_profiles][], a new dimension "bin" is added to the
+      output (`xarray.Dataset`). The resource classes are numbered from 0
+      (lowest) to N (highest).
 
-  - Additionally, a new ``.geojson`` file of clustered regions split by resource
-    classes is exported, which is is used in :mod:`add_electricity` and
-    :mod:`build_clustered_solar_rooftop_potentials` to assign existing wind and
-    solar capacities to the correct combination of bus and resource class.
-    Within a clustered region, the resource classes do not have to be
-    contiguous.
+    - Additionally, a new `.geojson` file of clustered regions split by resource
+      classes is exported, which is is used in [add_electricity][] and
+      [build_clustered_solar_rooftop_potentials][] to assign existing wind and
+      solar capacities to the correct combination of bus and resource class.
+      Within a clustered region, the resource classes do not have to be
+      contiguous.
 
 * Added simplified representation of **renewable energy imports**
-  (https://github.com/PyPSA/pypsa-eur/pull/1583):
+  ([#1583](https://github.com/PyPSA/pypsa-eur/pull/1583)):
 
-  - Can be activated with ``sector: imports: enable: true``.
+    - Can be activated with `sector: imports: enable: true`.
 
-  - Allows hydrogen, ammonia, methanol, gas and Fischer-Tropsch oil with
-    configurable prices (``sector: imports: prices:``).
+    - Allows hydrogen, ammonia, methanol, gas and Fischer-Tropsch oil with
+      configurable prices (`sector: imports: prices:`).
 
-  - Methane imports use existing LNG terminal entry points, hydrogen imports use
-    existing pipeline entry points.
+    - Methane imports use existing LNG terminal entry points, hydrogen imports use
+      existing pipeline entry points.
 
-  - Simplification: Import prices are uniform across all regions.
+    - Simplification: Import prices are uniform across all regions.
 
-  - Carbon content of imported fuels is handled like biomass.
+    - Carbon content of imported fuels is handled like biomass.
 
-  - Total volume of imports can be limited with ``sector: imports: limit:``. The
-    limit includes synthetic and biomass imports (``sector:
-    solid_biomass_import:``), but not fossil fuel imports.
+    - Total volume of imports can be limited with `sector: imports: limit:`. The
+      limit includes synthetic and biomass imports (``sector:
+      solid_biomass_import:``), but not fossil fuel imports.
 
 * Improved **automated plotting** of results
-  (https://github.com/PyPSA/pypsa-eur/pull/1589,
-  https://github.com/PyPSA/pypsa-eur/pull/1590,
-  https://github.com/PyPSA/pypsa-eur/pull/1626):
+  ([#1589](https://github.com/PyPSA/pypsa-eur/pull/1589),
+  [#1590](https://github.com/PyPSA/pypsa-eur/pull/1590),
+  [#1626](https://github.com/PyPSA/pypsa-eur/pull/1626)):
 
-  - Moved plotting configuration from ``config/config.default.yaml`` to
-    ``config/plotting.default.yaml``. The plotting configuration is now separated
-    from the main configuration file.
+    - Moved plotting configuration from `config/config.default.yaml` to
+      `config/plotting.default.yaml`. The plotting configuration is now separated
+      from the main configuration file.
 
-  - Added rule :mod:`plot_balance_maps` for plotting energy balance maps. The plots
-    are saved in ``results/maps/*`` and can be configured in
-    ``plotting.default.yaml`` under ``plotting: balance_maps``.
+    - Added rule `plot_balance_maps` for plotting energy balance maps. The plots
+      are saved in `results/maps/*` and can be configured in
+      `plotting.default.yaml` under `plotting: balance_maps`.
 
-  - Added new rule :mod:`plot_balance_timeseries` to plot energy balance time
-    series for the whole year at daily resolution and for each month at
-    model-native resolution.
+    - Added new rule [plot_balance_timeseries][] to plot energy balance time
+      series for the whole year at daily resolution and for each month at
+      model-native resolution.
 
-  - Added new rule :mod:`plot_heatmap_timeseries` for plotting configuration of
-    heatmap time series, including options for marginal prices, utilisation rates,
-    and state of charge.
+    - Added new rule [plot_heatmap_timeseries][] for plotting configuration of
+      heatmap time series, including options for marginal prices, utilisation rates,
+      and state of charge.
 
-* Extended pre-built `weather data cutouts
-  <https://zenodo.org/records/14936211>`__. Cutouts are now available for the
+* Extended pre-built [weather data cutouts](https://zenodo.org/records/14936211). Cutouts are now available for the
   years 1996, 2010, 2012, 2013, 2019, 2020 and 2023.
-  (https://github.com/PyPSA/pypsa-eur/pull/1559)
+  ([#1559](https://github.com/PyPSA/pypsa-eur/pull/1559))
 
 * Added option to specify the cutout directory in the configuration file. This
   allows to the user to specify the directory where the cutouts are stored. Use
-  it by setting ``atlite: cutout_directory:`` in the configuration file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1515)
+  it by setting `atlite: cutout_directory:` in the configuration file.
+  ([#1515](https://github.com/PyPSA/pypsa-eur/pull/1515))
 
 - Implemented an energy-to-power ratio constraint for thermal energy storage
   (TES), linking the storage capacity to the corresponding charger capacity.
   Additionally, chargers and dischargers are now sized proportionally through a
-  unified constraint. (https://github.com/PyPSA/pypsa-eur/pull/1546)
+  unified constraint. ([#1546](https://github.com/PyPSA/pypsa-eur/pull/1546))
 
 * Added option to calculate dynamic storage capacities for pit thermal energy
-  storage using the ``e_max_pu`` attribute. The dynamic capacities are
-  calculated in the new rule :mod:`build_tes_capacity_profiles`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1612)
+  storage using the `e_max_pu` attribute. The dynamic capacities are
+  calculated in the new rule `build_tes_capacity_profiles`.
+  ([#1612](https://github.com/PyPSA/pypsa-eur/pull/1612))
 
 * Added a configuration to disable transmission efficiency for some carriers.
-  (https://github.com/PyPSA/pypsa-eur/pull/1631)
+  ([#1631](https://github.com/PyPSA/pypsa-eur/pull/1631))
 
 * Added the options to overwrite investment, lifetime, FOM, VOM, efficiency and
-  fuel attributes from the configuration file under ``costs: overwrites:``. This
+  fuel attributes from the configuration file under `costs: overwrites:`. This
   mimics the existing capital and marginal cost behaviour.
-  (https://github.com/PyPSA/pypsa-eur/pull/1532,
-  https://github.com/PyPSA/pypsa-eur/pull/1565)
+  ([#1532](https://github.com/PyPSA/pypsa-eur/pull/1532),
+  [#1565](https://github.com/PyPSA/pypsa-eur/pull/1565))
 
-* Added rule :mod:`build_co2_sequestration_potentials`, which processes the raw
+* Added rule [build_co2_sequestration_potentials][], which processes the raw
   data from `CO2Stop
   <https://setis.ec.europa.eu/european-co2-storage-database_en>`_. Integrated
   from separate repository (https://github.com/ericzhou571/Co2Storage).
-  (https://github.com/PyPSA/pypsa-eur/pull/1606)
+  ([#1606](https://github.com/PyPSA/pypsa-eur/pull/1606))
 
-* Added option to pass ``linopy.Model`` keyword arguments through
-  ``config.default.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/1596)
+* Added option to pass `linopy.Model` keyword arguments through
+  `config.default.yaml`. ([#1596](https://github.com/PyPSA/pypsa-eur/pull/1596))
 
-* Added option to create ``snakemake filegraph`` and ``snakemake rulegraph``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1574)
+* Added option to create `snakemake filegraph` and `snakemake rulegraph`.
+  ([#1574](https://github.com/PyPSA/pypsa-eur/pull/1574))
 
 **Changes**
 
-* Refactor of :mod:`make_summary`
-  (https://github.com/PyPSA/pypsa-eur/pull/1573):
+* Refactor of [make_summary][]
+  ([#1573](https://github.com/PyPSA/pypsa-eur/pull/1573)):
 
-  - Computes summaries for only a single network at a time.
+    - Computes summaries for only a single network at a time.
 
-  - Concatenation is outsourced to new rule :mod:`make_global_summary`.
+    - Concatenation is outsourced to new rule [make_global_summary][].
 
-  - Rule no longer depends on network plots; use the ``all`` collection rule to
-    generate summaries and plots.
+    - Rule no longer depends on network plots; use the `all` collection rule to
+      generate summaries and plots.
 
-  - Calculation of cumulative costs for myopic foresight networks was moved to
-    :mod:`make_cumulative_costs`.
+    - Calculation of cumulative costs for myopic foresight networks was moved to
+      [make_cumulative_costs][].
 
-  - Rewrote functions in :mod:`make_summary` to use PyPSA statistics module
-    more.
+    - Rewrote functions in [make_summary][] to use PyPSA statistics module
+      more.
 
-  - Inferral of component locations was made more robust. The revised function
-    uses ``n.buses.location`` rather than the index strings. Components inherit
-    the location of the bus they connect to with the highest spatial resolution.
+    - Inferral of component locations was made more robust. The revised function
+      uses `n.buses.location` rather than the index strings. Components inherit
+      the location of the bus they connect to with the highest spatial resolution.
 
-  - The file ``supply.csv`` was **removed**; the file ``price_statistics.csv``
-    was **removed and integrated** into ``metrics.csv``; the files
-    ``supply_energy.csv``, ``nodal_supply_energy.csv``, ``cfs.csv``,
-    ``nodal_cfs.csv`` were **renamed** to ``energy_balance.csv``,
-    ``nodal_energy_balance.csv``, ``capacity_factors.csv``,
-    ``nodal_capacity_factors.csv``.
+    - The file `supply.csv` was **removed**; the file `price_statistics.csv`
+      was **removed and integrated** into `metrics.csv`; the files
+      `supply_energy.csv`, `nodal_supply_energy.csv`, `cfs.csv`,
+      `nodal_cfs.csv` were **renamed** to `energy_balance.csv`,
+      `nodal_energy_balance.csv`, `capacity_factors.csv`,
+      `nodal_capacity_factors.csv`.
 
-  - The order of the MultiIndex levels changed but are now consistently named
-    and documented; the index level "component" now uses capitalised component
-    names rather than lower case list names (e.g. "Generator" instead of
-    "generators").
+    - The order of the MultiIndex levels changed but are now consistently named
+      and documented; the index level "component" now uses capitalised component
+      names rather than lower case list names (e.g. "Generator" instead of
+      "generators").
 
-  - The plotting functions in :mod:`plot_summary` have been updated to reflect
-    the changes in the summary files.
+    - The plotting functions in [plot_summary][] have been updated to reflect
+      the changes in the summary files.
 
-* Unified the functions ``load_costs`` in :mod:`add_electricity` and
-  ``prepare_costs`` in :mod:`prepare_sector_network` into a single function
-  ``load_costs`` in :mod:`add_electricity`. For sector-coupled networks,
+* Unified the functions `load_costs` in [add_electricity][] and
+  `prepare_costs` in [prepare_sector_network][] into a single function
+  `load_costs` in [add_electricity][]. For sector-coupled networks,
   annualised investment costs are now referred to as "capital_cost" instead of
-  "fixed". (https://github.com/PyPSA/pypsa-eur/pull/1566,
-  https://github.com/PyPSA/pypsa-eur/pull/1567)
+  "fixed". ([#1566](https://github.com/PyPSA/pypsa-eur/pull/1566),
+  [#1567](https://github.com/PyPSA/pypsa-eur/pull/1567))
 
-* In :mod:`prepare_sector_network`, split shipping and aviation sector from
-  ``add_industry()`` into separate function and configuration setting. To mirror
-  previous behaviour of setting ``sector: industry: true``, also set ``sector:
-  shipping: true`` and ``sector: aviation: true``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1607)
+* In [prepare_sector_network][], split shipping and aviation sector from
+  `add_industry()` into separate function and configuration setting. To mirror
+  previous behaviour of setting `sector: industry: true`, also set ``sector:
+  shipping: true` and `sector: aviation: true``.
+  ([#1607](https://github.com/PyPSA/pypsa-eur/pull/1607))
 
 * Replaced renewable capacity estimation from OPSD VRE data with an estimation
   based on Global Energy Monitor (GEM) data. The corresponding setting was
-  renamed from ``from_opsd`` to ``from_gem``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1481)
+  renamed from `from_opsd` to `from_gem`.
+  ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481))
 
-* Functionality reduction: The technology mapping from ``powerplantmatching``
+* Functionality reduction: The technology mapping from `powerplantmatching`
   now has to be a 1:1 rather than a 1:n mapping.
-  (https://github.com/PyPSA/pypsa-eur/pull/1481)
+  ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481))
 
 * Geothermal heat potentials are now restricted to those in close proximity to
   future district heating areas as projected by Manz et al. 2024.
-  (https://github.com/PyPSA/pypsa-eur/pull/1516)
+  ([#1516](https://github.com/PyPSA/pypsa-eur/pull/1516))
 
 * Introduced the option to vent heat in all heating systems at given marginal
   cost and added a small marginal cost for water tank charging to improve
   numerics. Renamed config setting for marginal cost of home-battery charging to
-  ``marginal_cost_home_battery_storage``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1563)
+  `marginal_cost_home_battery_storage`.
+  ([#1563](https://github.com/PyPSA/pypsa-eur/pull/1563))
 
 * Included the fuel name as part of the carrier attribute for CHP plants added
-  in :mod:`prepare_sector_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1622)
+  in [prepare_sector_network][].
+  ([#1622](https://github.com/PyPSA/pypsa-eur/pull/1622))
 
 * Updated EIA hydro-electricity statistics up to end of 2023.
-  (https://github.com/PyPSA/pypsa-eur/pull/1543)
+  ([#1543](https://github.com/PyPSA/pypsa-eur/pull/1543))
 
 * Reduce pipeline entrypoints to country coverage. Exclude Russia and Belarus.
-  (https://github.com/PyPSA/pypsa-eur/pull/1582)
+  ([#1582](https://github.com/PyPSA/pypsa-eur/pull/1582))
 
-* Rules of ``validate.smk`` have been removed to consolidate the volume of code
-  to maintain. (https://github.com/PyPSA/pypsa-eur/pull/1581)
+* Rules of `validate.smk` have been removed to consolidate the volume of code
+  to maintain. ([#1581](https://github.com/PyPSA/pypsa-eur/pull/1581))
 
 * Use consistent function scope and avoid use of global variables to make
-  functions in ``add_*``, ``prepare_*`` and ``solve_*`` modular and portable.
-  (https://github.com/PyPSA/pypsa-eur/pull/1537,
-  https://github.com/PyPSA/pypsa-eur/pull/1549)
+  functions in `add_*`, `prepare_*` and `solve_*` modular and portable.
+  ([#1537](https://github.com/PyPSA/pypsa-eur/pull/1537),
+  [#1549](https://github.com/PyPSA/pypsa-eur/pull/1549))
 
-* Enable running ``mock_snakemake`` from a separate working directory.
-  (https://github.com/PyPSA/pypsa-eur/pull/1571)
+* Enable running `mock_snakemake` from a separate working directory.
+  ([#1571](https://github.com/PyPSA/pypsa-eur/pull/1571))
 
-* Add customisable memory logging frequency for :mod:`solve_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1521)
+* Add customisable memory logging frequency for [solve_network][].
+  ([#1521](https://github.com/PyPSA/pypsa-eur/pull/1521))
 
-* The ``config/config.yaml`` will no longer be created when running snakemake. It will
+* The `config/config.yaml` will no longer be created when running snakemake. It will
   still be used by the workflow if it exists, but ignored otherwise and is not required.
-  See :ref:`defaultconfig` for more information.
-  (https://github.com/PyPSA/pypsa-eur/pull/1649)
+  See [defaultconfig](configuration.md#defaultconfig) for more information.
+  ([#1649](https://github.com/PyPSA/pypsa-eur/pull/1649))
 
 **Bugfixes and Compatibility**
 
 * Support for Snakemake 9. This is the new minimum version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1619)
+  ([#1619](https://github.com/PyPSA/pypsa-eur/pull/1619))
 
-* Support newer HiGHS versions. (https://github.com/PyPSA/pypsa-eur/pull/1528)
+* Support newer HiGHS versions. ([#1528](https://github.com/PyPSA/pypsa-eur/pull/1528))
 
-* Use ``pyscipopt`` from PyPI. (https://github.com/PyPSA/pypsa-eur/pull/1524)
+* Use `pyscipopt` from PyPI. ([#1524](https://github.com/PyPSA/pypsa-eur/pull/1524))
 
 * Conda: Remove defaults channel from `conda`` setup and use strict channel
-  priority. (https://github.com/PyPSA/pypsa-eur/pull/1554)
+  priority. ([#1554](https://github.com/PyPSA/pypsa-eur/pull/1554))
 
 * Fail on solving status 'warning' because results are likely not valid.
-  (https://github.com/PyPSA/pypsa-eur/pull/1591)
+  ([#1591](https://github.com/PyPSA/pypsa-eur/pull/1591))
 
-* Bugfix in :mod:`time_aggregation`. The resampling produces a contiguous date
+* Bugfix in [time_aggregation][]. The resampling produces a contiguous date
   range. In case the original index was not contiguous, all rows with zero
   weight must be dropped (corresponding to time steps not included in the
-  original snapshots). (https://github.com/PyPSA/pypsa-eur/pull/1613)
+  original snapshots). ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
 
-* Bugfix in :mod:`time_aggregation`. Avoid that aggregated snapshot indices land
-  on February 29th in leap years when ``enable: drop_leap_day: true``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1613)
+* Bugfix in [time_aggregation][]. Avoid that aggregated snapshot indices land
+  on February 29th in leap years when `enable: drop_leap_day: true`.
+  ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
 
 * Bugfix: Handled missing geothermal potential data for the United Kingdom if
   geothermal is included for direct utilisation or as heat pump source. The
   config parameter ``sector: district_heating: limited_heat_sources: geothermal:
   ignore_missing_regions`` can be used to either terminate the workflow throwing
-  an error (default: ``true``) or assign 0 values to missing regions and
-  continue the workflow (``false``). (https://github.com/PyPSA/pypsa-eur/pull/1617)
+  an error (default: `true`) or assign 0 values to missing regions and
+  continue the workflow (`false`). ([#1617](https://github.com/PyPSA/pypsa-eur/pull/1617))
 
-* Bugfix: Changed setting ``central_heat_vent`` (default: ``true``), because the
+* Bugfix: Changed setting `central_heat_vent` (default: `true`), because the
   water tanks charger and discharger were used as heat vents.
-  (https://github.com/PyPSA/pypsa-eur/pull/1556)
+  ([#1556](https://github.com/PyPSA/pypsa-eur/pull/1556))
 
-* Bugfix: Fix ``if`` clause in :mod:`prepare_sector_network` function
-  ``add_methanol()`` (https://github.com/PyPSA/pypsa-eur/pull/1632).
+* Bugfix: Fix `if` clause in [prepare_sector_network][] function
+  `add_methanol()` ([#1632](https://github.com/PyPSA/pypsa-eur/pull/1632)).
 
 * Bugfix: Fix matching of Swiss regions (CH) in unsustainable biomass potential
-  calculation. (https://github.com/PyPSA/pypsa-eur/pull/1585)
+  calculation. ([#1585](https://github.com/PyPSA/pypsa-eur/pull/1585))
 
-* Bugfix: Fix nuclear ``p_max_pu`` time series for greenfield nuclear.
-  (https://github.com/PyPSA/pypsa-eur/pull/1519)
+* Bugfix: Fix nuclear `p_max_pu` time series for greenfield nuclear.
+  ([#1519](https://github.com/PyPSA/pypsa-eur/pull/1519))
 
-* Bugfix: Ensure correct ``dtype`` for the "reversed" column of links.
-  (https://github.com/PyPSA/pypsa-eur/pull/1525)
+* Bugfix: Ensure correct `dtype` for the "reversed" column of links.
+  ([#1525](https://github.com/PyPSA/pypsa-eur/pull/1525))
 
 * Bugfix: Ignore keyboard interrupt in memory logging subprocess.
-  (https://github.com/PyPSA/pypsa-eur/pull/1555)
+  ([#1555](https://github.com/PyPSA/pypsa-eur/pull/1555))
 
 * Bugfix: Change WDPA download rules to use shutil instead
   of shell commands to properly function on Windows.
-  (https://github.com/PyPSA/pypsa-eur/pull/1575)
+  ([#1575](https://github.com/PyPSA/pypsa-eur/pull/1575))
 
-* Bugfix: Added setting ``run: use_shadow_directory:`` (default: ``true``) which
-  sets the ``shadow`` parameter of the snakemake workflow. Configuring to
-  ``true`` sets snakemake ``shadow`` parameter to ``shalloow``, ``false`` to
-  `Ǹone``. Should be set to ``false`` for those cases, where snakemake has an
+* Bugfix: Added setting `run: use_shadow_directory:` (default: `true`) which
+  sets the `shadow` parameter of the snakemake workflow. Configuring to
+  `true` sets snakemake `shadow` parameter to `shalloow`, `false` to
+  `Ǹone`. Should be set to `false`` for those cases, where snakemake has an
   issue with finding missing input/output files in solving rules.
-  (https://github.com/PyPSA/pypsa-eur/pull/1535)
+  ([#1535](https://github.com/PyPSA/pypsa-eur/pull/1535))
 
 
-PyPSA-Eur v2025.01.0 (24th January 2025)
-========================================
+## PyPSA-Eur v2025.01.0 (24th January 2025)
 
-.. note::
-  With this version, PyPSA-Eur switches to `CalVer <https://calver.org/>`__ versioning.
+!!! note
+    With this version, PyPSA-Eur switches to [CalVer](https://calver.org/) versioning.
 
 **Features**
 
 * Introduce geothermal district heating, including direct utilisation and heat
-  pumps, using potentials from `Manz et al. 2024: Spatial analysis of renewable
-  and excess heat potentials for climate-neutral district heating in Europe
-  <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/1359)
+  pumps, using potentials from [Manz et al. 2024: Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe](https://www.sciencedirect.com/science/article/pii/S0960148124001769).
+  ([#1359](https://github.com/PyPSA/pypsa-eur/pull/1359))
 
 * Added option to reduce central heating forward temperatures by annual
-  percentage (see rule :mod:`build_central_heating_temperature_profiles`). This
+  percentage (see rule `build_central_heating_temperature_profiles`). This
   makes COP profiles and heat pump efficiencies planning-horizon-dependent.
   Myopic and perfect foresight modes were adjusted accordingly to update COPs of
   existing heat pumps in preceding years to adjusted temperatures.
-  (https://github.com/PyPSA/pypsa-eur/pull/1290)
+  ([#1290](https://github.com/PyPSA/pypsa-eur/pull/1290))
 
 * Allow CHPs to use different fuel sources such as gas, oil, coal, and methanol.
   Note that the cost assumptions are based on a gas CHP (except for solid
-  biomass-fired CHP). (https://github.com/PyPSA/pypsa-eur/pull/1392,
-  https://github.com/PyPSA/pypsa-eur/pull/1414)
+  biomass-fired CHP). ([#1392](https://github.com/PyPSA/pypsa-eur/pull/1392),
+  [#1414](https://github.com/PyPSA/pypsa-eur/pull/1414))
 
-* Add a rule to create a `filegraph` dag and rename `dag` rule as `rulegraph`. (https://github.com/PyPSA/pypsa-eur/pull/1574)
+* Add a rule to create a `filegraph` dag and rename `dag` rule as `rulegraph`. ([#1574](https://github.com/PyPSA/pypsa-eur/pull/1574))
 
 **Breaking Changes**
 
 * Rearranged workflow to cluster the electricity network before calculating
   renewable profiles and adding further electricity system components.
-  (https://github.com/PyPSA/pypsa-eur/pull/1201)
+  ([#1201](https://github.com/PyPSA/pypsa-eur/pull/1201))
 
-  - Moved rules ``simplify_network`` and ``cluster_network`` before
-    ``add_electricity`` and ``build_renewable_profiles``.
+    - Moved rules `simplify_network` and `cluster_network` before
+      `add_electricity` and `build_renewable_profiles`.
 
-  - Split rule ``build_renewable_profiles`` into two separate rules,
-    ``determine_availability_matrix`` for land eligibility analysis and
-    ``build_renewable_profiles``, which now only computes the profiles and total
-    potentials from the pre-computed availability matrix.
+    - Split rule `build_renewable_profiles` into two separate rules,
+      `determine_availability_matrix` for land eligibility analysis and
+      `build_renewable_profiles`, which now only computes the profiles and total
+      potentials from the pre-computed availability matrix.
 
-  - Removed variables ``weight``, ``underwater_fraction``, and ``potential``
-    from the output of ``build_renewable_profiles`` as it is no longer needed.
+    - Removed variables `weight`, `underwater_fraction`, and `potential`
+      from the output of `build_renewable_profiles` as it is no longer needed.
 
-  - HAC-clustering is now based on wind speeds and irradiation time series
-    rather than capacity factors of wind and solar power plants.
+    - HAC-clustering is now based on wind speeds and irradiation time series
+      rather than capacity factors of wind and solar power plants.
 
-  - Added new rule ``build_hac_features`` that aggregates cutout weather data to
-    base regions in preparation for ``cluster_network``.
+    - Added new rule `build_hac_features` that aggregates cutout weather data to
+      base regions in preparation for `cluster_network`.
 
-  - Removed ``{simpl}`` wildcard and all associated code of the ``m`` suffix of
-    the ``{cluster}`` wildcard. This means that the option to pre-cluster the
-    network in ``simplify_network`` was removed. It will be superseded by
-    clustering renewable profiles and potentials within clustered regions by
-    resource classes soon.
+    - Removed `{simpl}` wildcard and all associated code of the `m` suffix of
+      the `{cluster}` wildcard. This means that the option to pre-cluster the
+      network in `simplify_network` was removed. It will be superseded by
+      clustering renewable profiles and potentials within clustered regions by
+      resource classes soon.
 
-  - Added new rule ``add_transmission_projects_and_dlr`` which adds the outputs
-    from ``build_line_rating`` and ``build_transmission_projects`` to the output
-    of ``base_network``.
+    - Added new rule `add_transmission_projects_and_dlr` which adds the outputs
+      from `build_line_rating` and `build_transmission_projects` to the output
+      of `base_network`.
 
-  - The rule ``add_extra_components`` was integrated into ``add_electricity``
+    - The rule `add_extra_components` was integrated into `add_electricity`
 
-  - Added new rule ``build_electricity_demand_base`` to determine the load
-    distribution of the substations in the base network (which was previously
-    done in ``add_electricity``). This time series is used as weights for
-    kmeans-clustering in ``cluster_network`` and is later added to the network
-    in ``add_electricity`` in aggregated form.
+    - Added new rule `build_electricity_demand_base` to determine the load
+      distribution of the substations in the base network (which was previously
+      done in `add_electricity`). This time series is used as weights for
+      kmeans-clustering in `cluster_network` and is later added to the network
+      in `add_electricity` in aggregated form.
 
-  - The weights of the kmeans clustering algorithm are now exclusively based on
-    the load distribution. Previously, they also included the distribution of
-    thermal capacity.
+    - The weights of the kmeans clustering algorithm are now exclusively based on
+      the load distribution. Previously, they also included the distribution of
+      thermal capacity.
 
-  - Since the networks no longer start with the whole electricity system added
-    pre-clustering, the files have been renamed from ``elec...nc`` to
-    ``base...nc`` to identify them as derivatives of ``base.nc``.
+    - Since the networks no longer start with the whole electricity system added
+      pre-clustering, the files have been renamed from `elec...nc` to
+      `base...nc` to identify them as derivatives of `base.nc`.
 
-  - The scripts ``simplify_network.py`` and ``cluster_network.py`` were
-    simplified to become less nested and profited from the removed need to deal
-    with cost data.
+    - The scripts `simplify_network.py` and `cluster_network.py` were
+      simplified to become less nested and profited from the removed need to deal
+      with cost data.
 
-  - New configuration options to calculate connection costs of offshore wind
-    plants. Offshore connection costs are now calculated based on the underwater
-    distance to the shoreline plus a configurable ``landfall_length`` which
-    defaults to 10 km. Previously the distance to the region's centroid was
-    used, which is not practical when the regions are already aggregated.
+    - New configuration options to calculate connection costs of offshore wind
+      plants. Offshore connection costs are now calculated based on the underwater
+      distance to the shoreline plus a configurable `landfall_length` which
+      defaults to 10 km. Previously the distance to the region's centroid was
+      used, which is not practical when the regions are already aggregated.
 
-* Removed ``{ll}`` wildcard. This is now a configuration option ``electricity:
-  transmission_limit:``, defaulting to ``vopt``. All previous options of the
-  ``{ll}`` wildcard are also now available within the ``{opts}`` wildcard (e.g.
-  as ``-lv1.25-``). (https://github.com/PyPSA/pypsa-eur/pull/1472)
+* Removed `{ll}` wildcard. This is now a configuration option ``electricity:
+  transmission_limit:`, defaulting to `vopt``. All previous options of the
+  `{ll}` wildcard are also now available within the `{opts}` wildcard (e.g.
+  as `-lv1.25-`). ([#1472](https://github.com/PyPSA/pypsa-eur/pull/1472))
 
 * Breaking change: The location of several network files has changed to
   distinguish more clearly between solved and unsolved networks. Unsolved
-  networks that were previously stored in ``results/{run}/prenetworks`` are now
-  placed in ``resources/{run}/networks``. Solved networks that were previously
-  stored in ``results/{run}/postnetworks`` are now stored in
-  ``results/{run}/networks``. Brownfield networks are identified by a
-  ``_brownfield`` suffix in their filename.
+  networks that were previously stored in `results/{run}/prenetworks` are now
+  placed in `resources/{run}/networks`. Solved networks that were previously
+  stored in `results/{run}/postnetworks` are now stored in
+  `results/{run}/networks`. Brownfield networks are identified by a
+  `_brownfield` suffix in their filename.
 
 * Replaced the store representation of biogenic carriers (solid biomass, biogas,
-  bioliquids, MSW) in :mod:`prepare_sector_network` with generators using
-  attributes ``e_sum_min`` and ``e_sum_max`` to enforce minimum usage and limit
+  bioliquids, MSW) in [prepare_sector_network][] with generators using
+  attributes `e_sum_min` and `e_sum_max` to enforce minimum usage and limit
   maximum potential, respectively.
-  (https://github.com/PyPSA/pypsa-eur/pull/1373)
+  ([#1373](https://github.com/PyPSA/pypsa-eur/pull/1373))
 
 * Aligned the configuration setting for the CO2 network with other similar
-  settings (changed from ``co2network`` to ``co2_network``).
-  (https://github.com/PyPSA/pypsa-eur/pull/1438)
+  settings (changed from `co2network` to `co2_network`).
+  ([#1438](https://github.com/PyPSA/pypsa-eur/pull/1438))
 
-* Added options ``biosng_cc`` and ``biomass_to_liquid_cc`` to separate the base
+* Added options `biosng_cc` and `biomass_to_liquid_cc` to separate the base
   technology from the option to capture carbon from it.
-  (https://github.com/PyPSA/pypsa-eur/pull/1298)
+  ([#1298](https://github.com/PyPSA/pypsa-eur/pull/1298))
 
 **Changes**
 
 * The building process of the base network from OpenStreetMap was revised. The
   code was rewritten to improve the speed, accuracy and to preserve the topology
   including original substation locations, wherever possible. The latest
-  ``osm-prebuilt`` data is version v0.6 at https://zenodo.org/records/14144752.
-  (https://github.com/PyPSA/pypsa-eur/pull/1384,
-  https://github.com/PyPSA/pypsa-eur/pull/1387,
-  https://github.com/PyPSA/pypsa-eur/pull/1431)
+  `osm-prebuilt` data is version v0.6 at https://zenodo.org/records/14144752.
+  ([#1384](https://github.com/PyPSA/pypsa-eur/pull/1384),
+  [#1387](https://github.com/PyPSA/pypsa-eur/pull/1387),
+  [#1431](https://github.com/PyPSA/pypsa-eur/pull/1431))
 
 * The shapes for countries and administrative regions have been updated. The
   workflow has been modified to use higher resolution and more harmonised shapes
   (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries,
   such as BA, MD, UA, and XK). Data sources for population and GDP per capita
-  p.c. have been updated to `JRC ARDECO
-  <https://urban.jrc.ec.europa.eu/ardeco>`__, using values for 2019. The rule
-  ``build_gdp_pop_non_nuts3`` is now integrated into :mod:`build_shapes` and
+  p.c. have been updated to [JRC ARDECO](https://urban.jrc.ec.europa.eu/ardeco), using values for 2019. The rule
+  `build_gdp_pop_non_nuts3` is now integrated into [build_shapes][] and
   extended to build regional values for all non-NUTS3 countries.
-  (https://github.com/PyPSA/pypsa-eur/pull/1479)
+  ([#1479](https://github.com/PyPSA/pypsa-eur/pull/1479))
 
 * The default configuration for the emission reduction path in myopic pathway
   planning mode has been changed to align more closely with policy targets
-  (``co2_budget:``). (https://github.com/PyPSA/pypsa-eur/pull/1399)
+  (`co2_budget:`). ([#1399](https://github.com/PyPSA/pypsa-eur/pull/1399))
 
 * Consider the planning horizon for biomass potentials calculation. Previously,
   the biomass potential year could be chosen independently of the current
-  planning horizon. (https://github.com/PyPSA/pypsa-eur/pull/1311)
+  planning horizon. ([#1311](https://github.com/PyPSA/pypsa-eur/pull/1311))
 
 * Update locations and capacities of ammonia plants.
-  (https://github.com/PyPSA/pypsa-eur/pull/1471)
+  ([#1471](https://github.com/PyPSA/pypsa-eur/pull/1471))
 
 * NEP transmission projects are updated to HTLS lines.
-  (https://github.com/PyPSA/pypsa-eur/pull/1348)
+  ([#1348](https://github.com/PyPSA/pypsa-eur/pull/1348))
 
 * Added 98% imperfect capture rate of Allam cycle gas turbine.
-  (https://github.com/PyPSA/pypsa-eur/pull/1298)
+  ([#1298](https://github.com/PyPSA/pypsa-eur/pull/1298))
 
-* Improved ``sanitize_carrier`` function by filling in colors of missing
-  carriers. (https://github.com/PyPSA/pypsa-eur/pull/1400)
+* Improved `sanitize_carrier` function by filling in colors of missing
+  carriers. ([#1400](https://github.com/PyPSA/pypsa-eur/pull/1400))
 
 * In post-discretizing network elements, add a configuration option to allow a
-  fractional last unit size. (https://github.com/PyPSA/pypsa-eur/pull/1309)
+  fractional last unit size. ([#1309](https://github.com/PyPSA/pypsa-eur/pull/1309))
 
 **Bugfixes and Compatibility**
 
 * The length factor on the transmission lines haversine length was applied
   twice, once when calculating costs and once when clustering the network. Now
   it is only applied when calculating costs.
-  (https://github.com/PyPSA/pypsa-eur/pull/1511)
+  ([#1511](https://github.com/PyPSA/pypsa-eur/pull/1511))
 
 * Vehicle-to-grid dispatch capacity is now limited by the fraction of vehicles
   participating in demand-side-management, halving the dispatch capacity under
   the default demand-side management participation rate of 0.5.
-  (https://github.com/PyPSA/pypsa-eur/pull/1423)
+  ([#1423](https://github.com/PyPSA/pypsa-eur/pull/1423))
 
 * Demand for ammonia was double-counted at current/near-term planning horizons
-  with ``sector: ammonia: true``. (https://github.com/PyPSA/pypsa-eur/pull/1312)
+  with `sector: ammonia: true`. ([#1312](https://github.com/PyPSA/pypsa-eur/pull/1312))
 
-* Duplicates found in :mod:`build_transmission_projects` are now correctly
-  removed from the network. (https://github.com/PyPSA/pypsa-eur/pull/1360)
+* Duplicates found in [build_transmission_projects][] are now correctly
+  removed from the network. ([#1360](https://github.com/PyPSA/pypsa-eur/pull/1360))
 
-* Ensure ``s_max_pu`` are correctly set for transmission projects.
-  (https://github.com/PyPSA/pypsa-eur/pull/1323)
+* Ensure `s_max_pu` are correctly set for transmission projects.
+  ([#1323](https://github.com/PyPSA/pypsa-eur/pull/1323))
 
 * Correctly reduce gas pipeline retrofit potentials in myopic pathway planning
-  mode. (https://github.com/PyPSA/pypsa-eur/pull/1258)
+  mode. ([#1258](https://github.com/PyPSA/pypsa-eur/pull/1258))
 
 * The missing lifetime attribute was added to hydrogen steel tanks, which is
-  important for pathway planning. (https://github.com/PyPSA/pypsa-eur/pull/1510)
+  important for pathway planning. ([#1510](https://github.com/PyPSA/pypsa-eur/pull/1510))
 
 * Ensure all links with capital costs have a lifetime. This is important for
-  pathway planning. (https://github.com/PyPSA/pypsa-eur/pull/1319)
+  pathway planning. ([#1319](https://github.com/PyPSA/pypsa-eur/pull/1319))
 
 * Resolved a bug which occurred when multiple DC links are connected to the same
   DC bus and the DC bus is connected to an AC bus via a converter. In this case,
   the DC links were wrongly simplified, completely dropping the shared DC bus.
-  (https://github.com/PyPSA/pypsa-eur/pull/1381,
-  https://github.com/PyPSA/pypsa-eur/pull/1507)
+  ([#1381](https://github.com/PyPSA/pypsa-eur/pull/1381),
+  [#1507](https://github.com/PyPSA/pypsa-eur/pull/1507))
 
 * Waste CHPs are now added only to buses with district heating. Previously they
-  were added to all regions. (https://github.com/PyPSA/pypsa-eur/pull/1407)
+  were added to all regions. ([#1407](https://github.com/PyPSA/pypsa-eur/pull/1407))
 
 * Fixed VOM, emissions and efficiencies of methanol-to-kerosene links.
-  (https://github.com/PyPSA/pypsa-eur/pull/1317,
-  https://github.com/PyPSA/pypsa-eur/pull/1320,
-  https://github.com/PyPSA/pypsa-eur/pull/1376)
+  ([#1317](https://github.com/PyPSA/pypsa-eur/pull/1317),
+  [#1320](https://github.com/PyPSA/pypsa-eur/pull/1320),
+  [#1376](https://github.com/PyPSA/pypsa-eur/pull/1376))
 
-* Existing heating data in ``build_existing_heating_distribution`` and the
+* Existing heating data in `build_existing_heating_distribution` and the
   indexing of existing heat pumps for the COP correction in
-  :mod:`add_brownfield` have been adjusted so that myopic pathways work with the
-  geothermal district heating. (https://github.com/PyPSA/pypsa-eur/pull/1453)
+  [add_brownfield][] have been adjusted so that myopic pathways work with the
+  geothermal district heating. ([#1453](https://github.com/PyPSA/pypsa-eur/pull/1453))
 
-* Adjusted ``efficiency2`` (to atmosphere) for bioliquids-to-oil link in
-  :mod:`prepare_sector_network` to correctly offset the corresponding oil
-  emissions. (https://github.com/PyPSA/pypsa-eur/pull/1410)
+* Adjusted `efficiency2` (to atmosphere) for bioliquids-to-oil link in
+  [prepare_sector_network][] to correctly offset the corresponding oil
+  emissions. ([#1410](https://github.com/PyPSA/pypsa-eur/pull/1410))
 
-* Add ``{sector_opts}`` wildcard to :mod:`time_aggregation`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1307)
+* Add `{sector_opts}` wildcard to [time_aggregation][].
+  ([#1307](https://github.com/PyPSA/pypsa-eur/pull/1307))
 
-* Resolved a problem where excluding certain countries from ``countries``
+* Resolved a problem where excluding certain countries from `countries`
   configuration led to clustering errors.
-  (https://github.com/PyPSA/pypsa-eur/pull/1308)
+  ([#1308](https://github.com/PyPSA/pypsa-eur/pull/1308))
 
-* The environment ``envs/retrieve.yaml`` was removed. Retrieval rules now use
-  ``envs/environment.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/1509)
+* The environment `envs/retrieve.yaml` was removed. Retrieval rules now use
+  `envs/environment.yaml`. ([#1509](https://github.com/PyPSA/pypsa-eur/pull/1509))
 
 * Logging files are created more comprehensively.
-  (https://github.com/PyPSA/pypsa-eur/pull/1508,
-  https://github.com/PyPSA/pypsa-eur/pull/1421)
+  ([#1508](https://github.com/PyPSA/pypsa-eur/pull/1508),
+  [#1421](https://github.com/PyPSA/pypsa-eur/pull/1421))
 
 * Link for monthly CO2 prices was fixed.
-  (https://github.com/PyPSA/pypsa-eur/pull/1485)
+  ([#1485](https://github.com/PyPSA/pypsa-eur/pull/1485))
 
-* Current ``rasterio`` versions supported.
-  (https://github.com/PyPSA/pypsa-eur/pull/1480)
+* Current `rasterio` versions supported.
+  ([#1480](https://github.com/PyPSA/pypsa-eur/pull/1480))
 
-* Compatibility with ``powerplantmatching<=0.6``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1490)
+* Compatibility with `powerplantmatching<=0.6`.
+  ([#1490](https://github.com/PyPSA/pypsa-eur/pull/1490))
 
-* Compatibility with ``pypsa==0.32``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1316,
-  https://github.com/PyPSA/pypsa-eur/pull/1445)
+* Compatibility with `pypsa==0.32`.
+  ([#1316](https://github.com/PyPSA/pypsa-eur/pull/1316),
+  [#1445](https://github.com/PyPSA/pypsa-eur/pull/1445))
 
-* Maximum ``snakemake`` version is currently 8.24.
-  (https://github.com/PyPSA/pypsa-eur/pull/1440)
+* Maximum `snakemake` version is currently 8.24.
+  ([#1440](https://github.com/PyPSA/pypsa-eur/pull/1440))
 
 * Initial steps towards unit testing are taken.
-  (https://github.com/PyPSA/pypsa-eur/pull/1466,
-  https://github.com/PyPSA/pypsa-eur/pull/1438,
-  https://github.com/PyPSA/pypsa-eur/pull/1432)
+  ([#1466](https://github.com/PyPSA/pypsa-eur/pull/1466),
+  [#1438](https://github.com/PyPSA/pypsa-eur/pull/1438),
+  [#1432](https://github.com/PyPSA/pypsa-eur/pull/1432))
 
-* The installation via ``make install`` now prioritizes ``mamba`` over ``conda``
+* The installation via `make install` now prioritizes `mamba` over `conda`
   for faster installation. Conda is still used as a fallback. The command ``make
-  install`` now also supports passing the name of the environment, e.g. ``make
-  install name=my-project``. (https://github.com/PyPSA/pypsa-eur/pull/1461)
+  install` now also supports passing the name of the environment, e.g. `make
+  install name=my-project``. ([#1461](https://github.com/PyPSA/pypsa-eur/pull/1461))
 
 * Ruff is now used for linting and formatting. It is used within pre-commit, so
   no changes are needed. But we recommend to set it up locally as well.
-  (https://github.com/PyPSA/pypsa-eur/pull/1474)
+  ([#1474](https://github.com/PyPSA/pypsa-eur/pull/1474))
 
 * Updating all base shapes (country_shapes, europe_shape, nuts3_shapes, ...). The workflow has been modified to use higher resolution and more harmonised shapes (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries, such as BA, MD, UA, and XK). Data sources for population and GDP p.c. have been updated to JRC ARDECO https://urban.jrc.ec.europa.eu/ardeco/ -- 2019 values are used. `build_gdp_pop_non_nuts3` (originally created to build regional GDP p.c. and population data for MD and UA) is now integrated into `build_shapes` and extended to build regional values for all non-NUTS3 countries using cutouts of the updated datasets `GDP_per_capita_PPP_1990_2015_v2.nc` and `ppp_2019_1km_Aggregated.tif`,
 
-PyPSA-Eur 0.13.0 (13th September 2024)
-======================================
+## PyPSA-Eur 0.13.0 (13th September 2024)
 
 **Features**
 
 * Add new methanol-based technologies: methanol-to-power, methanol reforming,
   methanol-to-kerosene, methanol-to-olefins/aromatics, biomass-to-methanol with
-  and without carbon capture. (https://github.com/PyPSA/pypsa-eur/pull/1207)
+  and without carbon capture. ([#1207](https://github.com/PyPSA/pypsa-eur/pull/1207))
 
-* Add function ``modify_attribute`` to :mod:`prepare_sector_network` which allows to adjust any attribute of any
+* Add function `modify_attribute` to [prepare_sector_network][] which allows to adjust any attribute of any
   PyPSA component either by a multiplication with a factor or setting an
   absolute value. These adjustments can also depend on the planning horizons and
-  are set in the config under ``adjustments``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1244)
+  are set in the config under `adjustments`.
+  ([#1244](https://github.com/PyPSA/pypsa-eur/pull/1244))
 
 * Add version control to osm-prebuilt:
-  ``config["electricity"]["osm-prebuilt-version"]``. Defaults to latest Zenodo
-  release, i.e. v0.4, Config is only considered when selecting ``osm-prebuilt``
-  as ``base_network``. (https://github.com/PyPSA/pypsa-eur/pull/1293)
+  `config["electricity"]["osm-prebuilt-version"]`. Defaults to latest Zenodo
+  release, i.e. v0.4, Config is only considered when selecting `osm-prebuilt`
+  as `base_network`. ([#1293](https://github.com/PyPSA/pypsa-eur/pull/1293))
 
 **Changes**
 
@@ -1059,43 +1046,40 @@ PyPSA-Eur 0.13.0 (13th September 2024)
   Efficiencies of existing heating capacities are lowered according to the
   conversion of final energy to thermal energy service. For overnight scenarios
   or future planning horizons this change leads to a reduction in heat supply
-  and, therefore, system cost. (https://github.com/PyPSA/pypsa-eur/pull/1255)
+  and, therefore, system cost. ([#1255](https://github.com/PyPSA/pypsa-eur/pull/1255))
 
-* Updated district heating supply temperatures based on `Euroheat's DHC Market
-  Outlook
-  2024<https://api.euroheat.org/uploads/Market_Outlook_2024_beeecd62d4.pdf>`__
-  and `AGFW-Hauptbericht 2022
-  <https://www.agfw.de/securedl/sdl-eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MjU2MjI2MTUsImV4cCI6MTcyNTcxMjYxNSwidXNlciI6MCwiZ3JvdXBzIjpbMCwtMV0sImZpbGUiOiJmaWxlYWRtaW4vdXNlcl91cGxvYWQvWmFobGVuX3VuZF9TdGF0aXN0aWtlbi9IYXVwdGJlcmljaHRfMjAyMi9BR0ZXX0hhdXB0YmVyaWNodF8yMDIyLnBkZiIsInBhZ2UiOjQzNn0.Bhma3PKg9uJnC57Ixi2p9STW5-II9VXPTDXS544M208/AGFW_Hauptbericht_2022.pdf>`__.
-  ``min_forward_temperature`` and ``return_temperature`` (not given by Euroheat) are
-  extrapolated based on German values. (https://github.com/PyPSA/pypsa-eur/pull/1264)
+* Updated district heating supply temperatures based on [Euroheat's DHC Market Outlook 2024](https://api.euroheat.org/uploads/Market_Outlook_2024_beeecd62d4.pdf)
+  and [AGFW-Hauptbericht 2022](https://www.agfw.de/securedl/sdl-eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MjU2MjI2MTUsImV4cCI6MTcyNTcxMjYxNSwidXNlciI6MCwiZ3JvdXBzIjpbMCwtMV0sImZpbGUiOiJmaWxlYWRtaW4vdXNlcl91cGxvYWQvWmFobGVuX3VuZF9TdGF0aXN0aWtlbi9IYXVwdGJlcmljaHRfMjAyMi9BR0ZXX0hhdXB0YmVyaWNodF8yMDIyLnBkZiIsInBhZ2UiOjQzNn0.Bhma3PKg9uJnC57Ixi2p9STW5-II9VXPTDXS544M208/AGFW_Hauptbericht_2022.pdf).
+  `min_forward_temperature` and `return_temperature` (not given by Euroheat) are
+  extrapolated based on German values. ([#1264](https://github.com/PyPSA/pypsa-eur/pull/1264))
 
 * Refined implementation of unsustainable biomass.
-  (https://github.com/PyPSA/pypsa-eur/pull/1275,
-  https://github.com/PyPSA/pypsa-eur/pull/1271,
-  https://github.com/PyPSA/pypsa-eur/pull/1254,
-  https://github.com/PyPSA/pypsa-eur/pull/1266)
+  ([#1275](https://github.com/PyPSA/pypsa-eur/pull/1275),
+  [#1271](https://github.com/PyPSA/pypsa-eur/pull/1271),
+  [#1254](https://github.com/PyPSA/pypsa-eur/pull/1254),
+  [#1266](https://github.com/PyPSA/pypsa-eur/pull/1266))
 
-* Biomass transport costs are now stored in the ``data`` folder. Extraction from
-  PDF file is skipped. (https://github.com/PyPSA/pypsa-eur/pull/1272)
+* Biomass transport costs are now stored in the `data` folder. Extraction from
+  PDF file is skipped. ([#1272](https://github.com/PyPSA/pypsa-eur/pull/1272))
 
 * Increased the resolution of NUTS3 and NUTS2 shapes from 1:60M to 1:3M. The
-  shapefiles are now directly retrieved with the ``retrieve_nuts_shapes`` rule.
-  (https://github.com/PyPSA/pypsa-eur/pull/1286)
+  shapefiles are now directly retrieved with the `retrieve_nuts_shapes` rule.
+  ([#1286](https://github.com/PyPSA/pypsa-eur/pull/1286))
 
-* Uses of Snakemake's ``storage()`` function are integrated into retrieval
-  rules. This simplifies the use of ``mock_snakemake`` and places downloaded
-  data more transparently into the ``data`` directory.
-  (https://github.com/PyPSA/pypsa-eur/pull/1274)
+* Uses of Snakemake's `storage()` function are integrated into retrieval
+  rules. This simplifies the use of `mock_snakemake` and places downloaded
+  data more transparently into the `data` directory.
+  ([#1274](https://github.com/PyPSA/pypsa-eur/pull/1274))
 
 * Updated data bundle to remove files which are now directly downloaded in the
   rules. This reduces the size of the data bundle.
-  (https://github.com/PyPSA/pypsa-eur/pull/1291)
+  ([#1291](https://github.com/PyPSA/pypsa-eur/pull/1291))
 
 * Update NEP transmission projects to include `Startnetz`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1263)
+  ([#1263](https://github.com/PyPSA/pypsa-eur/pull/1263))
 
-* Auto-update ``envs/environment.fixed.yaml``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1281)
+* Auto-update `envs/environment.fixed.yaml`.
+  ([#1281](https://github.com/PyPSA/pypsa-eur/pull/1281))
 
 **Bugfixes and Compatibility**
 
@@ -1103,42 +1087,41 @@ PyPSA-Eur 0.13.0 (13th September 2024)
   (https://doi.org/10.5281/zenodo.13759222). Added Kosovo (XK) as dedicated
   region. Fixed major 330 kV line in Moldova (MD)
   (https://www.openstreetmap.org/way/33360284).
-  (https://github.com/PyPSA/pypsa-eur/pull/1293)
+  ([#1293](https://github.com/PyPSA/pypsa-eur/pull/1293))
 
 * Made the overdimensioning factor for heating systems specific for
   central/decentral heating, defaults to no overdimensionining for central
   heating and no changes to decentral heating compared to previous version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1259)
+  ([#1259](https://github.com/PyPSA/pypsa-eur/pull/1259))
 
 * The carrier of stores was previously silently overwritten by their bus'
   carrier when building global emission constraints.
-  (https://github.com/PyPSA/pypsa-eur/pull/1262)
+  ([#1262](https://github.com/PyPSA/pypsa-eur/pull/1262))
 
 * The fossil oil generator was incorrectly dropped when ``sector:
-  oil_refining_emissions`` was greater than zero. (https://github.com/PyPSA/pypsa-eur/pull/1257)
+  oil_refining_emissions`` was greater than zero. ([#1257](https://github.com/PyPSA/pypsa-eur/pull/1257))
 
 * Correctly account for the CO2 emissions of municipal solid waste.
-  (https://github.com/PyPSA/pypsa-eur/pull/1256)
+  ([#1256](https://github.com/PyPSA/pypsa-eur/pull/1256))
 
 * Added a missing space in the component name of retrofitted gas boilers.
-  (https://github.com/PyPSA/pypsa-eur/pull/1289)
+  ([#1289](https://github.com/PyPSA/pypsa-eur/pull/1289))
 
 * Global Energy Monitor datasets are temporarily mirrored on alternative
-  servers. (https://github.com/PyPSA/pypsa-eur/pull/1265)
+  servers. ([#1265](https://github.com/PyPSA/pypsa-eur/pull/1265))
 
 * Fixed plotting of hydrogen networks with myopic pathway optimisation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1270)
+  ([#1270](https://github.com/PyPSA/pypsa-eur/pull/1270))
 
 * Fixed internet connection check.
-  (https://github.com/PyPSA/pypsa-eur/pull/1280)
+  ([#1280](https://github.com/PyPSA/pypsa-eur/pull/1280))
 
 **Documentation**
 
 * The sources of nearly all data files are now listed in the documentation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1284)
+  ([#1284](https://github.com/PyPSA/pypsa-eur/pull/1284))
 
-PyPSA-Eur 0.12.0 (30th August 2024)
-===================================
+## PyPSA-Eur 0.12.0 (30th August 2024)
 
 **Data Updates and Extensions**
 
@@ -1148,72 +1131,65 @@ PyPSA-Eur 0.12.0 (30th August 2024)
   base_network: entsoegridkit``. The new default setting "osm-prebuilt"
   downloads the latest prebuilt snapshots from Zenodo. The setting "osm-raw"
   retrieves and cleans the raw OSM data and subsequently builds the network.
-  (https://github.com/PyPSA/pypsa-eur/pull/1079)
+  ([#1079](https://github.com/PyPSA/pypsa-eur/pull/1079))
 
-* Update energy balances from JRC-IDEES-2015 to `JRC-IDEES-2021
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC137809>`__. The
+* Update energy balances from JRC-IDEES-2015 to [JRC-IDEES-2021](https://publications.jrc.ec.europa.eu/repository/handle/JRC137809). The
   reference year was changed from 2015 to 2019.
-  (https://github.com/PyPSA/pypsa-eur/pull/1167)
+  ([#1167](https://github.com/PyPSA/pypsa-eur/pull/1167))
 
-* Updated pre-built `weather data cutouts
-  <https://zenodo.org/records/12791128>`__. These are now merged cutouts with
+* Updated pre-built [weather data cutouts](https://zenodo.org/records/12791128). These are now merged cutouts with
   solar irradiation from the new SARAH-3 dataset while taking all other
   variables from ERA5. Cutouts are now available for multiple years (2010, 2013,
   2019, and 2023). The overall download size was cut in half.
-  (https://github.com/PyPSA/pypsa-eur/pull/1176)
+  ([#1176](https://github.com/PyPSA/pypsa-eur/pull/1176))
 
-* Included data from the `Global Steel Plant Tracker
-  <https://globalenergymonitor.org/projects/global-steel-plant-tracker/>`__
+* Included data from the [Global Steel Plant Tracker](https://globalenergymonitor.org/projects/global-steel-plant-tracker/)
   provided by Global Energy Monitor. The data includes among other attributes
   the locations, ages, operating status, relining dates, manufacturing process
   and capacities of steel plants in Europe. This data is used as a spatial
   distribution key for the steel production, which is now separated by process
   type (EAF, DRI + EAF, integrated).
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
 
 * Added data on the locations and capacities of ammonia plants in Europe. This
   data is used as a spatial distribution key for the ammonia demand. The data
-  manually collected with sources noted in ``data/ammonia_plants.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
+  manually collected with sources noted in `data/ammonia_plants.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
 
 * Added data on the locations and capacities of cement plants in Europe that are
   not included in the Hotmaps industrial database. The data sourced from the
-  `USGS 2019 Minerals Yearbooks
-  <https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information>`__
+  [USGS 2019 Minerals Yearbooks](https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information)
   of specific countries is used as a spatial distribution key for the cement
-  demand. The data is stored in ``data/cement-plants-noneu.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
+  demand. The data is stored in `data/cement-plants-noneu.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
 
 * Added data on the locations and capacities of refineries in Europe that are
   not included in the Hotmaps industrial database. The data is mostly sourced
-  from the `Wikipedia list of oil refineries
-  <https://en.wikipedia.org/wiki/List_of_oil_refineries>`__. The data is stored
-  in ``data/refineries-noneu.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
+  from the [Wikipedia list of oil refineries](https://en.wikipedia.org/wiki/List_of_oil_refineries). The data is stored
+  in `data/refineries-noneu.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
 
-* Retrieve share of urban population from `World Bank API
-  <https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS>`__. The data
+* Retrieve share of urban population from [World Bank API](https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS). The data
   originates from the United Nations Population Division. Previously, a file
-  ``data/urban_percent.csv`` with an undocumented source was used.
-  (https://github.com/PyPSA/pypsa-eur/pull/1248)
+  `data/urban_percent.csv` with an undocumented source was used.
+  ([#1248](https://github.com/PyPSA/pypsa-eur/pull/1248))
 
 * Updated Global Energy Monitor's Europe Gas Tracker to May 2024 version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1235)
+  ([#1235](https://github.com/PyPSA/pypsa-eur/pull/1235))
 
 * Updated country-specific Energy Availability Factors (EAFs) for nuclear power
-  plants based on `IAEA 2021-2023 reported country averages
-  <https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/1236)
+  plants based on [IAEA 2021-2023 reported country averages](https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx).
+  ([#1236](https://github.com/PyPSA/pypsa-eur/pull/1236))
 
 * Updated technology-data to v0.9.2, with added methanol and biomass
   assumptions.
 
 * Updated EEZ shapes to v12. This data is now automatically retrieved and was
-  removed from the data bundle. (https://github.com/PyPSA/pypsa-eur/pull/1188,
-  https://github.com/PyPSA/pypsa-eur/pull/1210)
+  removed from the data bundle. ([#1188](https://github.com/PyPSA/pypsa-eur/pull/1188),
+  [#1210](https://github.com/PyPSA/pypsa-eur/pull/1210))
 
 * The country shapes from Naturalearth are now automatically retrieved and are
-  removed from the data bundle. (https://github.com/PyPSA/pypsa-eur/pull/1190)
+  removed from the data bundle. ([#1190](https://github.com/PyPSA/pypsa-eur/pull/1190))
 
 **New Features**
 
@@ -1223,544 +1199,537 @@ PyPSA-Eur 0.12.0 (30th August 2024)
     based on current consumption levels from Eurostat energy balances. The
     potentials can be phased-out and/or substituted by the phase-in of sustainable
     biomass types using the config parameters ``biomass:
-    share_unsustainable_use_retained`` and ``biomass:
+    share_unsustainable_use_retained` and `biomass:
     share_sustainable_potential_available``.
-    (https://github.com/PyPSA/pypsa-eur/pull/1139)
+    ([#1139](https://github.com/PyPSA/pypsa-eur/pull/1139))
 
   * Added energy penalty for BECC applications.
-    (https://github.com/PyPSA/pypsa-eur/pull/1130)
+    ([#1130](https://github.com/PyPSA/pypsa-eur/pull/1130))
 
   * Added option to enable the import of solid biomass.
-    (https://github.com/PyPSA/pypsa-eur/pull/1194)
+    ([#1194](https://github.com/PyPSA/pypsa-eur/pull/1194))
 
   * Added option to produce electrobiofuels from solid biomass and hydrogen. This
     process combined BtL and Fischer-Tropsch to efficiently use the available
-    biogenic carbon. (https://github.com/PyPSA/pypsa-eur/pull/1193)
+    biogenic carbon. ([#1193](https://github.com/PyPSA/pypsa-eur/pull/1193))
 
   * Added option to split municipal solid waste from solid biomass.
-    (https://github.com/PyPSA/pypsa-eur/pull/1195,
-    https://github.com/PyPSA/pypsa-eur/pull/1134)
+    ([#1195](https://github.com/PyPSA/pypsa-eur/pull/1195),
+    [#1134](https://github.com/PyPSA/pypsa-eur/pull/1134))
 
   * Added option to produce hydrogen from solid biomass with or without carbon
-    capture. (https://github.com/PyPSA/pypsa-eur/pull/1213)
+    capture. ([#1213](https://github.com/PyPSA/pypsa-eur/pull/1213))
 
 * Improved district heating representation:
 
   * Added option to use country-specific district heating forward and return
     temperatures. Defaults to lower temperatures in Scandinavia.
-    (https://github.com/PyPSA/pypsa-eur/pull/1180)
+    ([#1180](https://github.com/PyPSA/pypsa-eur/pull/1180))
 
   * Made central heating supply temperatures dynamic based on an adaptation of a
     reference curve from Pieper et al. (2019)
     (https://www.sciencedirect.com/science/article/pii/S0360544219305857?via%3Dihub).
-    (https://github.com/PyPSA/pypsa-eur/pull/1206/)
+    ([#1206](https://github.com/PyPSA/pypsa-eur/pull/1206)/)
 
   * Changed heat pump COP approximation for central heating to be based on
-    `Jensen et al. (2018)
-    <https://backend.orbit.dtu.dk/ws/portalfiles/portal/151965635/MAIN_Final.pdf>`__
+    [Jensen et al. (2018)](https://backend.orbit.dtu.dk/ws/portalfiles/portal/151965635/MAIN_Final.pdf)
     and a default forward temperature of 90C. This is more realistic for
     district heating than the previously used approximation method.
-    (https://github.com/PyPSA/pypsa-eur/pull/1176)
+    ([#1176](https://github.com/PyPSA/pypsa-eur/pull/1176))
 
   * Added option for various power-to-X processes to specify their share of waste
     heat that can be used in district heating. The default was changed from 100%
-    to 25%. (https://github.com/PyPSA/pypsa-eur/pull/1141)
+    to 25%. ([#1141](https://github.com/PyPSA/pypsa-eur/pull/1141))
 
 * Added option to specify emissions fuel processing (e.g. oil in petrochemical
-  refinieries) with setting ``industry: oil_refining_emissions:``.
+  refinieries) with setting `industry: oil_refining_emissions:`.
 
 * Added Enhanced Geothermal Systems for generation of electricity and district heat.
-  Cost and available capacity assumptions based on `Aghahosseini et al. (2020)
-  <https://www.sciencedirect.com/science/article/pii/S0306261920312551>`__.
-  See configuration ``sector: enhanced_geothermal`` for details; by default switched off.
+  Cost and available capacity assumptions based on [Aghahosseini et al. (2020)](https://www.sciencedirect.com/science/article/pii/S0306261920312551).
+  See configuration `sector: enhanced_geothermal` for details; by default switched off.
 
 * Represent Kosovo (XK) as separate country.
-  (https://github.com/PyPSA/pypsa-eur/pull/1249)
+  ([#1249](https://github.com/PyPSA/pypsa-eur/pull/1249))
 
 * Add option to specify carbon sequestration potentials per investment period.
-  (https://github.com/PyPSA/pypsa-eur/pull/1228)
+  ([#1228](https://github.com/PyPSA/pypsa-eur/pull/1228))
 
 * Add option to completely eliminate the use of fossil fuels.
-  (https://github.com/PyPSA/pypsa-eur/pull/1187)
+  ([#1187](https://github.com/PyPSA/pypsa-eur/pull/1187))
 
 * Added more modular and flexible handling of planned transmission reinforcement
-  projects (e.g. TYNDP). See configuration settings ``transmission_projects:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1085)
+  projects (e.g. TYNDP). See configuration settings `transmission_projects:`.
+  ([#1085](https://github.com/PyPSA/pypsa-eur/pull/1085))
 
 * Added option to smooth wind turbine power curves with a Gaussian kernel density.
-  (https://github.com/PyPSA/pypsa-eur/pull/1209).
+  ([#1209](https://github.com/PyPSA/pypsa-eur/pull/1209)).
 
-* Added option ``solving: curtailment_mode``` which fixes the dispatch profiles
-  of generators with time-varying p_max_pu by setting ``p_min_pu = p_max_pu``
+* Added option `solving: curtailment_mode`` which fixes the dispatch profiles
+  of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu`
   and adds an auxiliary curtailment generator with negative sign (to absorb
   excess power) at every AC bus. This can speed up the solving process as the
   curtailment decision is aggregated into a single generator per region.
-  (https://github.com/PyPSA/pypsa-eur/pull/1177)
+  ([#1177](https://github.com/PyPSA/pypsa-eur/pull/1177))
 
 * Added capital costs to all liquid carbonaceous fuel stores.
-  (https://github.com/PyPSA/pypsa-eur/pull/1234)
+  ([#1234](https://github.com/PyPSA/pypsa-eur/pull/1234))
 
 **Breaking Changes**
 
-* Due to memory issues, the feature ``n.shapes`` is temporarily disabled.
-  (https://github.com/PyPSA/pypsa-eur/pull/1238)
+* Due to memory issues, the feature `n.shapes` is temporarily disabled.
+  ([#1238](https://github.com/PyPSA/pypsa-eur/pull/1238))
 
 * Renamed the carrier of batteries in BEVs from `battery storage` to `EV
   battery` and the corresponding bus carrier from `Li ion` to `EV battery`. This
   is to avoid confusion with stationary battery storage.
-  (https://github.com/PyPSA/pypsa-eur/pull/1116)
+  ([#1116](https://github.com/PyPSA/pypsa-eur/pull/1116))
 
 **Changes**
 
 * Powerplants can now be assigned to all buses, not just substations.
-  (https://github.com/PyPSA/pypsa-eur/pull/1239)
+  ([#1239](https://github.com/PyPSA/pypsa-eur/pull/1239))
 
 * Avoid adding existing gas pipelines repeatedly for different planning
   horizons.
-  (https://github.com/PyPSA/pypsa-eur/pull/1162https://github.com/PyPSA/pypsa-eur/pull/1162)
+  ([#1162](https://github.com/PyPSA/pypsa-eur/pull/1162)[#1162](https://github.com/PyPSA/pypsa-eur/pull/1162))
 
 * Move custom busmaps to
-  ``data/busmaps/elec_s{simpl}_{clusters}_{base_network}.csv``. This allows for
+  `data/busmaps/elec_s{simpl}_{clusters}_{base_network}.csv`. This allows for
   different busmaps depending on the base network.
-  (https://github.com/PyPSA/pypsa-eur/pull/1231)
+  ([#1231](https://github.com/PyPSA/pypsa-eur/pull/1231))
 
 * For countries not contained in the NUTS3-specific datasets (i.e. MD and UA),
   the mapping of GDP per capita and population per bus region used to spatially
   distribute electricity demand is now endogenised in a new rule
-  :mod:`build_gdp_ppp_non_nuts3`. The databundle has been updated accordingly.
-  (https://github.com/PyPSA/pypsa-eur/pull/1146)
+  `build_gdp_ppp_non_nuts3`. The databundle has been updated accordingly.
+  ([#1146](https://github.com/PyPSA/pypsa-eur/pull/1146))
 
-* Enable parallelism in :mod:`determine_availability_matrix_MD_UA.py` and remove
+* Enable parallelism in [determine_availability_matrix_MD_UA][] and remove
   plots. This requires the use of temporary files.
-  (https://github.com/PyPSA/pypsa-eur/pull/1170)
+  ([#1170](https://github.com/PyPSA/pypsa-eur/pull/1170))
 
-* In :mod:`base_network`, replace own voronoi polygon calculation function with
+* In [base_network][], replace own voronoi polygon calculation function with
   Geopandas `gdf.voronoi_polygons` method.
-  (https://github.com/PyPSA/pypsa-eur/pull/1172)
+  ([#1172](https://github.com/PyPSA/pypsa-eur/pull/1172))
 
-* In simplifying polygons in :mod:`build_shapes` default to no tolerance.
-  (https://github.com/PyPSA/pypsa-eur/pull/1137)
+* In simplifying polygons in [build_shapes][] default to no tolerance.
+  ([#1137](https://github.com/PyPSA/pypsa-eur/pull/1137))
 
-* Updated filtering in :mod:`determine_availability_matrix_MD_UA.py` to improve
-  speed. (https://github.com/PyPSA/pypsa-eur/pull/1146)
+* Updated filtering in [determine_availability_matrix_MD_UA][] to improve
+  speed. ([#1146](https://github.com/PyPSA/pypsa-eur/pull/1146))
 
 * Removed unused data files and rules.
-  (https://github.com/PyPSA/pypsa-eur/pull/1246,
-  https://github.com/PyPSA/pypsa-eur/pull/1203)
+  ([#1246](https://github.com/PyPSA/pypsa-eur/pull/1246),
+  [#1203](https://github.com/PyPSA/pypsa-eur/pull/1203))
 
-* The ``{scope}`` wildcard was removed, since its outputs were not used.
-  (https://github.com/PyPSA/pypsa-eur/pull/1171)
+* The `{scope}` wildcard was removed, since its outputs were not used.
+  ([#1171](https://github.com/PyPSA/pypsa-eur/pull/1171))
 
 * Unify how the oil bus is added.
 
-* Set ``p_nom = p_nom_min`` for generators with ``baseyear == grouping_year`` in
-  :mod:`add_existing_baseyear`. This has no effect on the optimization but helps
-  to correctly report already installed capacities using ``n.statistics()``.
+* Set `p_nom = p_nom_min` for generators with `baseyear == grouping_year` in
+  [add_existing_baseyear][]. This has no effect on the optimization but helps
+  to correctly report already installed capacities using `n.statistics()`.
 
-* Cutouts are no longer marked as ``protected()``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1220)
+* Cutouts are no longer marked as `protected()`.
+  ([#1220](https://github.com/PyPSA/pypsa-eur/pull/1220))
 
 **Bugfixes and Compatibility**
 
-* Bugfix in :mod:`simplify_network` for spatially resolving Corsica.
-  (https://github.com/PyPSA/pypsa-eur/pull/1215)
+* Bugfix in [simplify_network][] for spatially resolving Corsica.
+  ([#1215](https://github.com/PyPSA/pypsa-eur/pull/1215))
 
 * Bugfix for running without spatial resolution.
-  (https://github.com/PyPSA/pypsa-eur/pull/1183)
+  ([#1183](https://github.com/PyPSA/pypsa-eur/pull/1183))
 
 * Bugfix: Impose minimum value of zero for district heating progress between
-  current and future market share in :mod:`build_district_heat_share`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1168)
+  current and future market share in [build_district_heat_share][].
+  ([#1168](https://github.com/PyPSA/pypsa-eur/pull/1168))
 
 * Bugfix: Correctly read in threshold capacity below which to remove components
-  from previous planning horizons in :mod:`add_brownfield`.
+  from previous planning horizons in [add_brownfield][].
 
-* Bugfix for passing function arguments in rule :mod:`solve_operations_network`.
+* Bugfix for passing function arguments in rule [solve_operations_network][].
 
 * Bugfix avoiding infinity values in the intermediate industry sector ratios.
-  (https://github.com/PyPSA/pypsa-eur/pull/1227)
+  ([#1227](https://github.com/PyPSA/pypsa-eur/pull/1227))
 
 * Bugfix: Add floating wind to cost update function in
-  :mod:`prepare_sector_network`. (https://github.com/PyPSA/pypsa-eur/pull/1106)
+  [prepare_sector_network][]. ([#1106](https://github.com/PyPSA/pypsa-eur/pull/1106))
 
-* Fixed PDF encoding in ``build_biomass_transport_costs``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1219)
+* Fixed PDF encoding in `build_biomass_transport_costs`.
+  ([#1219](https://github.com/PyPSA/pypsa-eur/pull/1219))
 
-* Dropped ``pycountry`` dependency in favour of ``country_converter``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1188)
+* Dropped `pycountry` dependency in favour of `country_converter`.
+  ([#1188](https://github.com/PyPSA/pypsa-eur/pull/1188))
 
 * Use temporary mirror for broken link to Eurostat energy balances (April 2023).
-  (https://github.com/PyPSA/pypsa-eur/pull/1147)
+  ([#1147](https://github.com/PyPSA/pypsa-eur/pull/1147))
 
 * Compatibility with geopandas 1.0+.
-  (https://github.com/PyPSA/pypsa-eur/pull/1136)
+  ([#1136](https://github.com/PyPSA/pypsa-eur/pull/1136))
 
 * Compatibility with snakemake 8.14+.
-  (https://github.com/PyPSA/pypsa-eur/pull/1112)
+  ([#1112](https://github.com/PyPSA/pypsa-eur/pull/1112))
 
 * Address various deprecations.
 
 
-PyPSA-Eur 0.11.0 (25th May 2024)
-=====================================
+## PyPSA-Eur 0.11.0 (25th May 2024)
 
 **New Features**
 
 * Introduced scenario management to support the simultaneous execution of
-  multiple scenarios with a single ``snakemake`` call. A ``scenarios.yaml`` file
+  multiple scenarios with a single `snakemake` call. A `scenarios.yaml` file
   allows customizable scenario names with configuration overrides. To enable,
-  set ``run: scenarios: true`` and define the list of scenario names under
-  ``run: name:`` in the configuration file. The scenario file's top-level keys
+  set `run: scenarios: true` and define the list of scenario names under
+  `run: name:` in the configuration file. The scenario file's top-level keys
   must match the defined scenario names.
-  (https://github.com/PyPSA/pypsa-eur/pull/724,
-  https://github.com/PyPSA/pypsa-eur/pull/975,
-  https://github.com/PyPSA/pypsa-eur/pull/989,
-  https://github.com/PyPSA/pypsa-eur/pull/993,
-  https://github.com/PyPSA/pypsa-eur/pull/1011)
-
-  - A scenarios template file ``config/scenarios.template.yaml`` is included and
-    copied to ``config/scenarios.yaml`` on first use.
-  - The scenario file can be changed via ``run: scenarios: file:``.
-  - Activating scenario management with ``run: scenarios: enable: true``
-    introduces a new wildcard ``{run}``. Configuration settings may now depend
-    on this wildcard. A new ``config_provider()`` function is used in the
-    ``Snakefile`` and ``.smk`` files to handle wildcard values.
-  - Scenario files can be programmatically created using
-    ``config/create_scenarios.py``. This script can be run with ``snakemake -j1
-    create_scenarios``.
-  - The setting ``run: name: all`` will run all scenarios in
-    ``config/scenarios.yaml``. Otherwise, only the scenarios listed under ``run:
-    name:`` will run.
-  - The setting ``run: shared_resources:`` indicates whether resources should be
-    encapsulated by ``run: name:``. The special setting ``run: shared_resources:
-    base`` shares resources until ``add_electricity`` that do not contain
-    wildcards other than ``{"technology", "year", "scope"}``.
-  - Added new configuration options for all ``{opts}`` and ``{sector_opts}``
-    wildcard values to create a unique configuration file (``config.yaml``) per
-    PyPSA network file using ``update_config_from_wildcards()``. This function
-    updates the ``snakemake.config`` object with settings from wildcards.
-  - The cost data was moved from ``data/costs_{year}.csv`` to
-    ``resources/costs_{year}.csv``. The ``retrieve_cost_data`` rule now calls a
-    Python script.
-  - Time clustering settings moved to ``clustering: temporal:`` from
-    ``snapshots:``, simplifying scenario management.
-  - Collection rules have a new wildcard ``run=config["run"]["name"]`` to
-    collect outputs across scenarios.
-  - Scenarios can be encapsulated in a directory using ``run: prefix:``.
-  - The ``{sector_opts}`` wildcard is no longer used by default. All scenario
-    definitions are now in ``config.yaml``.
-  - **Warning:** Scenario management with myopic or perfect foresight pathway
-    optimization requires the first investment period to be shared across all
-    scenarios. The ``wildcard_constraints`` for the ``add_existing_baseyear``
-    rule do not accept wildcard-aware input functions.
+  ([#724](https://github.com/PyPSA/pypsa-eur/pull/724),
+  [#975](https://github.com/PyPSA/pypsa-eur/pull/975),
+  [#989](https://github.com/PyPSA/pypsa-eur/pull/989),
+  [#993](https://github.com/PyPSA/pypsa-eur/pull/993),
+  [#1011](https://github.com/PyPSA/pypsa-eur/pull/1011))
+
+    - A scenarios template file `config/scenarios.template.yaml` is included and
+      copied to `config/scenarios.yaml` on first use.
+    - The scenario file can be changed via `run: scenarios: file:`.
+    - Activating scenario management with `run: scenarios: enable: true`
+      introduces a new wildcard `{run}`. Configuration settings may now depend
+      on this wildcard. A new `config_provider()` function is used in the
+      `Snakefile` and `.smk` files to handle wildcard values.
+    - Scenario files can be programmatically created using
+      `config/create_scenarios.py`. This script can be run with ``snakemake -j1
+      create_scenarios``.
+    - The setting `run: name: all` will run all scenarios in
+      `config/scenarios.yaml`. Otherwise, only the scenarios listed under ``run:
+      name:`` will run.
+    - The setting `run: shared_resources:` indicates whether resources should be
+      encapsulated by `run: name:`. The special setting ``run: shared_resources:
+      base` shares resources until `add_electricity`` that do not contain
+      wildcards other than `{"technology", "year", "scope"}`.
+    - Added new configuration options for all `{opts}` and `{sector_opts}`
+      wildcard values to create a unique configuration file (`config.yaml`) per
+      PyPSA network file using `update_config_from_wildcards()`. This function
+      updates the `snakemake.config` object with settings from wildcards.
+    - The cost data was moved from `data/costs_{year}.csv` to
+      `resources/costs_{year}.csv`. The `retrieve_cost_data` rule now calls a
+      Python script.
+    - Time clustering settings moved to `clustering: temporal:` from
+      `snapshots:`, simplifying scenario management.
+    - Collection rules have a new wildcard `run=config["run"]["name"]` to
+      collect outputs across scenarios.
+    - Scenarios can be encapsulated in a directory using `run: prefix:`.
+    - The `{sector_opts}` wildcard is no longer used by default. All scenario
+      definitions are now in `config.yaml`.
+    - **Warning:** Scenario management with myopic or perfect foresight pathway
+      optimization requires the first investment period to be shared across all
+      scenarios. The `wildcard_constraints` for the `add_existing_baseyear`
+      rule do not accept wildcard-aware input functions.
 
 * Enhanced support for choosing different weather years.
-  (https://github.com/PyPSA/pypsa-eur/pull/204)
-
-  - Processed energy statistics from Eurostat (1990-2021) and IDEES (2000-2015)
-    are stored for all available years and filtered by the year in ``energy:
-    energy_totals_year:``.
-  - Added option to supplement electricity load data with synthetic time series
-    for years not in OPSD (from https://zenodo.org/records/10820928, ``load:
-    supplement_synthetic:``).
-  - Total annual heat demand for years not in Eurostat (1990-2021) or IDEES
-    (2000-2015) is scaled based on a regression between heating degree days and
-    heat demand for 2007-2021, assuming a similar building stock.
-  - Added option to scale annual hydro-electricity generation data for years not
-    in EIA (1980-2021) based on a regression between annual generation and total
-    runoff per country for 1980-2021 (``renewable: hydro:
-    eia_approximate_missing:``).
-  - Added option to normalize annual hydro generation data by the installed
-    capacity reported by EIA (1980-2021) to eliminate changes due to newly built
-    capacity (``renewable: hydro: eia_approximate_missing:
-    eia_correct_by_capacity:``).
-  - Added option to make hydro generation data independent of weather year
-    (``renewable: hydro: eia_approximate_missing: eia_norm_year:``).
-  - Added option to drop leap days (``enable: drop_leap_day:``).
-  - Added option to make electric load data independent of weather year (``load:
-    fixed_year:``).
-  - Include time series of Swiss passenger vehicles from the Swiss Federal
-    Statistical Office.
-  - Updated hydro-electricity generation and capacity data from EIA.
-  - The easiest way to use multiple weather years is with the new scenario
-    management. An example `create_scenarios.py` script is available in this
-    `Github gist
-    <https://gist.github.com/fneum/47b857862dd9148a22eca5a2e85caa9a>`__.
+  ([#204](https://github.com/PyPSA/pypsa-eur/pull/204))
+
+    - Processed energy statistics from Eurostat (1990-2021) and IDEES (2000-2015)
+      are stored for all available years and filtered by the year in ``energy:
+      energy_totals_year:``.
+    - Added option to supplement electricity load data with synthetic time series
+      for years not in OPSD (from https://zenodo.org/records/10820928, ``load:
+      supplement_synthetic:``).
+    - Total annual heat demand for years not in Eurostat (1990-2021) or IDEES
+      (2000-2015) is scaled based on a regression between heating degree days and
+      heat demand for 2007-2021, assuming a similar building stock.
+    - Added option to scale annual hydro-electricity generation data for years not
+      in EIA (1980-2021) based on a regression between annual generation and total
+      runoff per country for 1980-2021 (``renewable: hydro:
+      eia_approximate_missing:``).
+    - Added option to normalize annual hydro generation data by the installed
+      capacity reported by EIA (1980-2021) to eliminate changes due to newly built
+      capacity (``renewable: hydro: eia_approximate_missing:
+      eia_correct_by_capacity:``).
+    - Added option to make hydro generation data independent of weather year
+      (`renewable: hydro: eia_approximate_missing: eia_norm_year:`).
+    - Added option to drop leap days (`enable: drop_leap_day:`).
+    - Added option to make electric load data independent of weather year (``load:
+      fixed_year:``).
+    - Include time series of Swiss passenger vehicles from the Swiss Federal
+      Statistical Office.
+    - Updated hydro-electricity generation and capacity data from EIA.
+    - The easiest way to use multiple weather years is with the new scenario
+      management. An example `create_scenarios.py` script is available in this
+      [Github gist](https://gist.github.com/fneum/47b857862dd9148a22eca5a2e85caa9a).
 
 * New renewable technologies:
 
-  - Solar PV with single-axis horizontal tracking (N-S axis), carrier:
-    ``solar-hsat``. (https://github.com/PyPSA/pypsa-eur/pull/1066)
-  - Floating offshore wind technology for water depths below 60m, carrier:
-    ``offwind-float``. (https://github.com/PyPSA/pypsa-eur/pull/773)
+    - Solar PV with single-axis horizontal tracking (N-S axis), carrier:
+      `solar-hsat`. ([#1066](https://github.com/PyPSA/pypsa-eur/pull/1066))
+    - Floating offshore wind technology for water depths below 60m, carrier:
+      `offwind-float`. ([#773](https://github.com/PyPSA/pypsa-eur/pull/773))
 
 * Added default values for power distribution losses, assuming uniform 3% losses
   on distribution grid links. These are deducted from national load time series
   to avoid double counting. Extensions for country-specific loss factors and
   planning horizon developments are planned.
 
-* Added ``industry: HVC_environment_sequestration_fraction:`` to specify the
+* Added `industry: HVC_environment_sequestration_fraction:` to specify the
   fraction of carbon in plastics that is permanently sequestered in landfills.
   The default assumption is that all carbon in plastics is eventually released
-  to the atmosphere. (https://github.com/PyPSA/pypsa-eur/pull/1060)
+  to the atmosphere. ([#1060](https://github.com/PyPSA/pypsa-eur/pull/1060))
 
 * Added options for building waste-to-energy plants with and without carbon
   capture to consume non-recycled and non-sequestered plastics. Config settings:
-  ``industry: waste_to_energy:`` and ``industry: waste_to_energy_cc``. This
-  excludes municipal solid waste. (https://github.com/PyPSA/pypsa-eur/pull/1060)
+  `industry: waste_to_energy:` and `industry: waste_to_energy_cc`. This
+  excludes municipal solid waste. ([#1060](https://github.com/PyPSA/pypsa-eur/pull/1060))
 
 * Added option to post-discretize line and link capacities based on unit sizes
   and rounding thresholds in the configuration under ``solving: options:
   post_discretization:``. This is disabled by default.
-  (https://github.com/PyPSA/pypsa-eur/pull/1064)
+  ([#1064](https://github.com/PyPSA/pypsa-eur/pull/1064))
 
 * Time aggregation for sector-coupled networks is now its own rule
-  :mod:`time_aggregation`. Time aggregation is constant over planning horizons
+  [time_aggregation][]. Time aggregation is constant over planning horizons
   of the same network when using time step segmentation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1065,
-  https://github.com/PyPSA/pypsa-eur/pull/1075)
+  ([#1065](https://github.com/PyPSA/pypsa-eur/pull/1065),
+  [#1075](https://github.com/PyPSA/pypsa-eur/pull/1075))
 
-* Added config ``run: shared_resources: exclude:`` to specify files excluded
-  from shared resources with ``run: shared_resources: base``. The function
-  ``_helpers/get_run_path()`` now takes an additional keyword argument
-  ``exclude_from_shared`` with a list of files that should not be shared.
-  (https://github.com/PyPSA/pypsa-eur/pull/1050)
+* Added config `run: shared_resources: exclude:` to specify files excluded
+  from shared resources with `run: shared_resources: base`. The function
+  `_helpers/get_run_path()` now takes an additional keyword argument
+  `exclude_from_shared` with a list of files that should not be shared.
+  ([#1050](https://github.com/PyPSA/pypsa-eur/pull/1050))
 
-* Added existing biomass boilers in :mod:`add_existing_baseyear`.
-  (https://github.com/PyPSA/pypsa-eur/pull/951)
+* Added existing biomass boilers in [add_existing_baseyear][].
+  ([#951](https://github.com/PyPSA/pypsa-eur/pull/951))
 
-* Added new HVDC transmission projects from `TYNDP 2024 draft projects
-  <https://tyndp.entsoe.eu/news/176-pan-european-electricity-transmission-projects-and-33-storage-projects-will-be-assessed-in-tyndp-2024>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/982)
+* Added new HVDC transmission projects from [TYNDP 2024 draft projects](https://tyndp.entsoe.eu/news/176-pan-european-electricity-transmission-projects-and-33-storage-projects-will-be-assessed-in-tyndp-2024).
+  ([#982](https://github.com/PyPSA/pypsa-eur/pull/982))
 
 * Linearly interpolated missing investment periods in year-dependent
-  configuration options. (https://github.com/PyPSA/pypsa-eur/pull/943)
+  configuration options. ([#943](https://github.com/PyPSA/pypsa-eur/pull/943))
 
-* Added shapes to the ``netCDF`` files for different stages of the network
+* Added shapes to the `netCDF` files for different stages of the network
   object in `base_network`, `simplify_network`, and `cluster_network`. The
   `build_bus_regions` rule is now integrated into the `base_network` rule.
-  (https://github.com/PyPSA/pypsa-eur/pull/1013,
-  https://github.com/PyPSA/pypsa-eur/pull/1051)
+  ([#1013](https://github.com/PyPSA/pypsa-eur/pull/1013),
+  [#1051](https://github.com/PyPSA/pypsa-eur/pull/1051))
 
-* Added config ``land_transport_demand_factor`` to model growth in land
+* Added config `land_transport_demand_factor` to model growth in land
   transport demand for different time horizons.
 
-* Allowed dictionary for ``aviation_demand_factor`` to specify changes in
+* Allowed dictionary for `aviation_demand_factor` to specify changes in
   aviation demand by investment period.
 
 * Allowed more solvers in clustering (Xpress, COPT, Gurobi, CPLEX, SCIP, MOSEK).
-  (https://github.com/PyPSA/pypsa-eur/pull/949)
+  ([#949](https://github.com/PyPSA/pypsa-eur/pull/949))
 
-* Added option to download cost data from custom fork of ``technology-data``.
-  (https://github.com/PyPSA/pypsa-eur/pull/970)
+* Added option to download cost data from custom fork of `technology-data`.
+  ([#970](https://github.com/PyPSA/pypsa-eur/pull/970))
 
-* Added ``nodal_supply_energy`` to :mod:`make_summary`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1046)
+* Added `nodal_supply_energy` to [make_summary][].
+  ([#1046](https://github.com/PyPSA/pypsa-eur/pull/1046))
 
 **Breaking Changes**
 
 * Upgraded to Snakemake v8.5+. This version is the new minimum requirement. To
   upgrade an existing environment, run ``conda install -c bioconda
-  snakemake-minimal">=8.5"`` and ``pip install snakemake-storage-plugin-http``.
-  (https://github.com/PyPSA/pypsa-eur/pull/825)
+  snakemake-minimal">=8.5"` and `pip install snakemake-storage-plugin-http``.
+  ([#825](https://github.com/PyPSA/pypsa-eur/pull/825))
 
-* Removed exogenously set share of rooftop PV (``costs: rooftop_share:``).
+* Removed exogenously set share of rooftop PV (`costs: rooftop_share:`).
   Rooftop and utility-scale PV are now separate technologies with endogenous
   shares.
 
-* Removed rule ``copy_config``. Instead, a config file is created for each
-  network output of the ``solve_*`` rules, with the same content as ``n.meta``.
-  (https://github.com/PyPSA/pypsa-eur/pull/965)
+* Removed rule `copy_config`. Instead, a config file is created for each
+  network output of the `solve_*` rules, with the same content as `n.meta`.
+  ([#965](https://github.com/PyPSA/pypsa-eur/pull/965))
 
-* Moved switch ``run: shared_resources:`` to ``run: shared_resources: policy:``.
+* Moved switch `run: shared_resources:` to `run: shared_resources: policy:`.
 
 **Changes**
 
 * Updated, merged, and reduced data bundle:
-  (https://github.com/PyPSA/pypsa-eur/pull/1020,
-  https://github.com/PyPSA/pypsa-eur/pull/1027)
-
-  - Merged electricity-only and sector-coupled data bundles into one bundle.
-    This removed the ``retrieve_sector_databundle`` rule.
-  - Included rasterised ``natura.tiff`` in the data bundle and removed the
-    ``retrieve_natura_raster`` rule.
-  - Removed the ``build_natura_raster`` rule due to its infrequent use and
-    significant data bundle size increase.
-  - Removed outdated files from the data bundle (e.g., Eurostat energy
-    balances).
-  - Reduced the spatial scope of GEBCO bathymetry data to Europe to save space.
-  - Removed a separate data bundle for tutorials.
-  - Directly downloaded the `Hotmaps Industrial Database
-    <https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/blob/master/data/Industrial_Database.csv>`__
-    from the source, removing ``Industrial_Database.csv`` from the data bundle.
-
-* Updated energy statistics: (https://github.com/PyPSA/pypsa-eur/pull/947,
-  https://github.com/PyPSA/pypsa-eur/pull/973,
-  https://github.com/PyPSA/pypsa-eur/pull/990,
-  https://github.com/PyPSA/pypsa-eur/pull/1025,
-  https://github.com/PyPSA/pypsa-eur/pull/1074)
-
-  - Updated Eurostat data to the 2023 version in :mod:`build_energy_totals`.
-  - Updated the latest Swiss energy totals to the 2023 version.
-  - Scaled JRC-IDEES data using the ratio of Eurostat data for energy totals
-    years after 2015 and 2015.
-  - Updated default energy totals year to 2019.
-  - Updated energy balances for residential demands (space, water, cooking) in
-    JRC-IDEES data with newer Eurostat values.
-
-* Improved documentation: (https://github.com/PyPSA/pypsa-eur/pull/1017,
-  https://github.com/PyPSA/pypsa-eur/pull/1014)
-
-  - Clarified that ``solving: rolling_horizon:`` only works for
-    :mod:`solve_operations_network`, not for networks with sector-coupling or
-    investment variables.
-  - Clarified suffix usage in `add_existing_baseyear`.
-  - Added documentation section for contributing documentation.
+  ([#1020](https://github.com/PyPSA/pypsa-eur/pull/1020),
+  [#1027](https://github.com/PyPSA/pypsa-eur/pull/1027))
+
+    - Merged electricity-only and sector-coupled data bundles into one bundle.
+      This removed the `retrieve_sector_databundle` rule.
+    - Included rasterised `natura.tiff` in the data bundle and removed the
+      `retrieve_natura_raster` rule.
+    - Removed the `build_natura_raster` rule due to its infrequent use and
+      significant data bundle size increase.
+    - Removed outdated files from the data bundle (e.g., Eurostat energy
+      balances).
+    - Reduced the spatial scope of GEBCO bathymetry data to Europe to save space.
+    - Removed a separate data bundle for tutorials.
+    - Directly downloaded the [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/blob/master/data/Industrial_Database.csv)
+      from the source, removing `Industrial_Database.csv` from the data bundle.
+
+* Updated energy statistics: ([#947](https://github.com/PyPSA/pypsa-eur/pull/947),
+  [#973](https://github.com/PyPSA/pypsa-eur/pull/973),
+  [#990](https://github.com/PyPSA/pypsa-eur/pull/990),
+  [#1025](https://github.com/PyPSA/pypsa-eur/pull/1025),
+  [#1074](https://github.com/PyPSA/pypsa-eur/pull/1074))
+
+    - Updated Eurostat data to the 2023 version in [build_energy_totals][].
+    - Updated the latest Swiss energy totals to the 2023 version.
+    - Scaled JRC-IDEES data using the ratio of Eurostat data for energy totals
+      years after 2015 and 2015.
+    - Updated default energy totals year to 2019.
+    - Updated energy balances for residential demands (space, water, cooking) in
+      JRC-IDEES data with newer Eurostat values.
+
+* Improved documentation: ([#1017](https://github.com/PyPSA/pypsa-eur/pull/1017),
+  [#1014](https://github.com/PyPSA/pypsa-eur/pull/1014))
+
+    - Clarified that `solving: rolling_horizon:` only works for
+      [solve_operations_network][], not for networks with sector-coupling or
+      investment variables.
+    - Clarified suffix usage in `add_existing_baseyear`.
+    - Added documentation section for contributing documentation.
 
 * Included gas and oil fields and saline aquifers for estimating carbon
-  sequestration potentials. (https://github.com/PyPSA/pypsa-eur/pull/1010,
-  https://github.com/PyPSA/pypsa-eur/pull/983)
+  sequestration potentials. ([#1010](https://github.com/PyPSA/pypsa-eur/pull/1010),
+  [#983](https://github.com/PyPSA/pypsa-eur/pull/983))
 
 * Doubled solar rooftop potentials to roughly 1 TW for Europe based on recent
   European Commission reports.
 
 * Consistently sourced data on existing renewable capacities from
-  ``powerplantmatching``. Removed ``retrieve_irena`` rule. Updated the dataset
-  to include 2023 values. (https://github.com/PyPSA/pypsa-eur/pull/1018)
+  `powerplantmatching`. Removed `retrieve_irena` rule. Updated the dataset
+  to include 2023 values. ([#1018](https://github.com/PyPSA/pypsa-eur/pull/1018))
 
 * Added methanol consumption in industry as reported in the DECHEMA report
-  directly as methanol demand. (https://github.com/PyPSA/pypsa-eur/pull/1068)
+  directly as methanol demand. ([#1068](https://github.com/PyPSA/pypsa-eur/pull/1068))
 
 * Adapted disabling of transmission expansion in myopic foresight optimizations
   when the limit is reached to handle cost limits.
-  (https://github.com/PyPSA/pypsa-eur/pull/952,
-  https://github.com/PyPSA/pypsa-eur/pull/1076)
+  ([#952](https://github.com/PyPSA/pypsa-eur/pull/952),
+  [#1076](https://github.com/PyPSA/pypsa-eur/pull/1076))
 
-* Improved the behavior of ``agg_p_nom_limits``: Moved configuration to
-  ``solving``; added the ability to aggregate all ``offwind`` types; added
+* Improved the behavior of `agg_p_nom_limits`: Moved configuration to
+  `solving`; added the ability to aggregate all `offwind` types; added
   option to consider existing capacities; added option to distinguish by
-  planning horizon. (https://github.com/PyPSA/pypsa-eur/pull/1023)
+  planning horizon. ([#1023](https://github.com/PyPSA/pypsa-eur/pull/1023))
 
-* Disabled ``electricity: everywhere_powerplants``` by default to save memory in
-  :mod:`simplify_network`.
+* Disabled `electricity: everywhere_powerplants`` by default to save memory in
+  [simplify_network][].
 
-* Moved non-essential example configuration files to ``config/examples``.
+* Moved non-essential example configuration files to `config/examples`.
 
-* Outputs of the retrieve rules are no longer marked as ``protected()``.
+* Outputs of the retrieve rules are no longer marked as `protected()`.
 
 * Improved carbon budget distribution plot.
-  (https://github.com/PyPSA/pypsa-eur/pull/1070)
+  ([#1070](https://github.com/PyPSA/pypsa-eur/pull/1070))
 
-* Moved all graphics to ``doc/img``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1052)
+* Moved all graphics to `doc/img`.
+  ([#1052](https://github.com/PyPSA/pypsa-eur/pull/1052))
 
-* Connection costs calculated in :mod:`simplify_network` are no longer written
-  to file. (https://github.com/PyPSA/pypsa-eur/pull/1031)
+* Connection costs calculated in [simplify_network][] are no longer written
+  to file. ([#1031](https://github.com/PyPSA/pypsa-eur/pull/1031))
 
 **Bugs and Compatibility**
 
-* Updated ``technology-data`` to version v0.9.0.
+* Updated `technology-data` to version v0.9.0.
 
-* Bumped minimum ``powerplantmatching`` version to v0.5.15.
-  (https://github.com/PyPSA/pypsa-eur/pull/1057)
+* Bumped minimum `powerplantmatching` version to v0.5.15.
+  ([#1057](https://github.com/PyPSA/pypsa-eur/pull/1057))
 
 * Bugfix: The configuration setting ``electricity:
-  estimate_renewable_capacities: enable:`` for rule :mod:`add_electricity` is
-  not compatible with ``foresight: myopic``. The logic now skips adding existing
-  renewable capacities in :mod:`add_electricity` if the foresight mode is
-  ``myopic``. (https://github.com/PyPSA/pypsa-eur/pull/1080)
+  estimate_renewable_capacities: enable:`` for rule [add_electricity][] is
+  not compatible with `foresight: myopic`. The logic now skips adding existing
+  renewable capacities in [add_electricity][] if the foresight mode is
+  `myopic`. ([#1080](https://github.com/PyPSA/pypsa-eur/pull/1080))
 
 * Bugfix: Ensure gas-fired power plants are correctly added as OCGT or CCGT in
-  :mod:`add_electricity`. Previously, they were always added as OCGT.
+  [add_electricity][]. Previously, they were always added as OCGT.
 
 * Bugfix: Fix distinction of temperature-dependent correction factors for the
   energy demand of electric vehicles and ICEs fuel cell cars.
-  (https://github.com/PyPSA/pypsa-eur/pull/957)
+  ([#957](https://github.com/PyPSA/pypsa-eur/pull/957))
 
 * Bugfix: Ensure all industry coal demands are considered when using
-  ``sector_ratios_fraction_future``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1047)
+  `sector_ratios_fraction_future`.
+  ([#1047](https://github.com/PyPSA/pypsa-eur/pull/1047))
 
 * Bugfix: Add existing heat pumps to low-voltage level.
-  (https://github.com/PyPSA/pypsa-eur/pull/948)
+  ([#948](https://github.com/PyPSA/pypsa-eur/pull/948))
 
-* Fixed gas network retrofitting to hydrogen in :mod:`add_brownfield` for myopic
-  pathway studies. (https://github.com/PyPSA/pypsa-eur/pull/1036)
+* Fixed gas network retrofitting to hydrogen in [add_brownfield][] for myopic
+  pathway studies. ([#1036](https://github.com/PyPSA/pypsa-eur/pull/1036))
 
 * Bugfix: Consider decommissioning of existing renewable assets in
-  :mod:`add_existing_baseyear`. (https://github.com/PyPSA/pypsa-eur/pull/1001,
-  https://github.com/PyPSA/pypsa-eur/pull/959)
+  [add_existing_baseyear][]. ([#1001](https://github.com/PyPSA/pypsa-eur/pull/1001),
+  [#959](https://github.com/PyPSA/pypsa-eur/pull/959))
 
 * Bugfix: Adjust build year groups of existing capacities for consistency with
   optimized capacities per planning horizon. The previous setup neglected some
-  existing heating capacities. (https://github.com/PyPSA/pypsa-eur/pull/1019)
+  existing heating capacities. ([#1019](https://github.com/PyPSA/pypsa-eur/pull/1019))
 
 * Bugfix: Corrected a bug causing power plants to operate after their
-  ``DateOut``. Added additional grouping years before 1980.
-  (https://github.com/PyPSA/pypsa-eur/pull/958)
+  `DateOut`. Added additional grouping years before 1980.
+  ([#958](https://github.com/PyPSA/pypsa-eur/pull/958))
 
 * Bugfix: Allow modeling sector-coupled landlocked regions by handling the
-  absence of offshore wind. (https://github.com/PyPSA/pypsa-eur/pull/944)
+  absence of offshore wind. ([#944](https://github.com/PyPSA/pypsa-eur/pull/944))
 
 * Bugfix: Correct approximation of hydropower generation if Portugal or Spain
-  are not included. (https://github.com/PyPSA/pypsa-eur/pull/1054)
+  are not included. ([#1054](https://github.com/PyPSA/pypsa-eur/pull/1054))
 
-* Bugfix: In :mod:`build_electricity_demand`, ensure load data is only added if
+* Bugfix: In [build_electricity_demand][], ensure load data is only added if
   the country is included in the configuration.
-  (https://github.com/PyPSA/pypsa-eur/pull/1054)
+  ([#1054](https://github.com/PyPSA/pypsa-eur/pull/1054))
 
 * Bugfix: Skip heat bus for CHPs in areas without central heating.
-  (https://github.com/PyPSA/pypsa-eur/pull/1021)
+  ([#1021](https://github.com/PyPSA/pypsa-eur/pull/1021))
 
 * Bugfix: Avoid duplicated offshore regions.
 
-* Fixed type error with ``m`` option in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/986)
+* Fixed type error with `m` option in [cluster_network][].
+  ([#986](https://github.com/PyPSA/pypsa-eur/pull/986))
 
-* Fixed error with ``symbol`` column of buses in :mod:`simplify_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/987)
+* Fixed error with `symbol` column of buses in [simplify_network][].
+  ([#987](https://github.com/PyPSA/pypsa-eur/pull/987))
 
 * Fixed index of existing capacities in
-  ``add_power_capacities_installed_before_baseyear`` with ``m`` option.
-  (https://github.com/PyPSA/pypsa-eur/pull/1002)
+  `add_power_capacities_installed_before_baseyear` with `m` option.
+  ([#1002](https://github.com/PyPSA/pypsa-eur/pull/1002))
 
-* Fixed reading in custom busmaps in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1008)
+* Fixed reading in custom busmaps in [cluster_network][].
+  ([#1008](https://github.com/PyPSA/pypsa-eur/pull/1008))
 
-* Fixed ``p_nom_min`` of renewables generators for myopic approach and added
-  check of existing capacities in ``add_land_use_constraint_m``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1022,
-  https://github.com/PyPSA/pypsa-eur/pull/1029)
+* Fixed `p_nom_min` of renewables generators for myopic approach and added
+  check of existing capacities in `add_land_use_constraint_m`.
+  ([#1022](https://github.com/PyPSA/pypsa-eur/pull/1022),
+  [#1029](https://github.com/PyPSA/pypsa-eur/pull/1029))
 
 * Fixed duplicated years and grouping years reference in
-  ``add_land_use_constraint_m``. (https://github.com/PyPSA/pypsa-eur/pull/991,
-  https://github.com/PyPSA/pypsa-eur/pull/968)
+  `add_land_use_constraint_m`. ([#991](https://github.com/PyPSA/pypsa-eur/pull/991),
+  [#968](https://github.com/PyPSA/pypsa-eur/pull/968))
 
 * Fixed filling of missing data in
-  ``build_industry_sector_ratios_intermediate``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1004)
+  `build_industry_sector_ratios_intermediate`.
+  ([#1004](https://github.com/PyPSA/pypsa-eur/pull/1004))
 
-* Fixed file name encoding in optional rule :mod:`build_biomass_transport_costs`
+* Fixed file name encoding in optional rule [build_biomass_transport_costs][]
   depending on the operating system.
-  (https://github.com/PyPSA/pypsa-eur/pull/769)
+  ([#769](https://github.com/PyPSA/pypsa-eur/pull/769))
 
-* Technical fix for constraint function ``add_operational_reserve_margin``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1071)
+* Technical fix for constraint function `add_operational_reserve_margin`.
+  ([#1071](https://github.com/PyPSA/pypsa-eur/pull/1071))
 
-* Technical fix for constraint function ``add_BAU_constraints``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1024)
+* Technical fix for constraint function `add_BAU_constraints`.
+  ([#1024](https://github.com/PyPSA/pypsa-eur/pull/1024))
 
 * Fixed network clustering and simplification issues caused by adding TYNDP
-  links. (https://github.com/PyPSA/pypsa-eur/pull/1067)
+  links. ([#1067](https://github.com/PyPSA/pypsa-eur/pull/1067))
 
-* Bugfix: Ensure correct indexing of weights in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/988)
+* Bugfix: Ensure correct indexing of weights in [cluster_network][].
+  ([#988](https://github.com/PyPSA/pypsa-eur/pull/988))
 
 * Bugfix: Only sanitize locations when there are buses with a location.
-  (https://github.com/PyPSA/pypsa-eur/pull/971)
+  ([#971](https://github.com/PyPSA/pypsa-eur/pull/971))
 
-PyPSA-Eur 0.10.0 (19th February 2024)
-=====================================
+## PyPSA-Eur 0.10.0 (19th February 2024)
 
 **New Features**
 
@@ -1772,50 +1741,50 @@ PyPSA-Eur 0.10.0 (19th February 2024)
   consumption of tomorrow. This is done on a per-country basis. The ratio of
   today to tomorrow's energy consumption is set with the ``industry:
   sector_ratios_fraction_future:`` parameter
-  (https://github.com/PyPSA/pypsa-eur/pull/929).
+  ([#929](https://github.com/PyPSA/pypsa-eur/pull/929)).
 
 * Add new default to overdimension heating in individual buildings. This allows
   them to cover heat demand peaks e.g. 10% higher than those in the data. The
   disadvantage of manipulating the costs is that the capacity is then not quite
   right. This way at least the costs are right
-  (https://github.com/PyPSA/pypsa-eur/pull/918).
+  ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
 
 * Allow industrial coal demand to be regional so its emissions can be included
-  in regional emission limits (https://github.com/PyPSA/pypsa-eur/pull/923).
+  in regional emission limits ([#923](https://github.com/PyPSA/pypsa-eur/pull/923)).
 
 * Add option to specify to set a default heating lifetime for existing heating
-  (``existing_capacities: default_heating_lifetime:``)
-  (https://github.com/PyPSA/pypsa-eur/pull/918).
+  (`existing_capacities: default_heating_lifetime:`)
+  ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
 
 * Added option to specify turbine and solar panel models for specific years as a
-  dictionary (e.g. ``renewable: onwind: resource: turbine:``). The years will be
+  dictionary (e.g. `renewable: onwind: resource: turbine:`). The years will be
   interpreted as years from when the the corresponding turbine model substitutes
   the previous model for new installations. This will only have an effect on
-  workflows with foresight ``"myopic"`` and still needs to be added foresight
-  option ``"perfect"`` (https://github.com/PyPSA/pypsa-eur/pull/912).
+  workflows with foresight `"myopic"` and still needs to be added foresight
+  option `"perfect"` ([#912](https://github.com/PyPSA/pypsa-eur/pull/912)).
 
-* New configuration option ``everywhere_powerplants`` to build conventional
+* New configuration option `everywhere_powerplants` to build conventional
   powerplants everywhere, irrespective of existing powerplants locations, in the
-  network (https://github.com/PyPSA/pypsa-eur/pull/850).
+  network ([#850](https://github.com/PyPSA/pypsa-eur/pull/850)).
 
 * Add the option to customise map projection in plotting config under
-  ``plotting: projection: name`` (https://github.com/PyPSA/pypsa-eur/pull/898).
+  `plotting: projection: name` ([#898](https://github.com/PyPSA/pypsa-eur/pull/898)).
 
-* Add support for the linopy ``io_api`` option under ``solving: options:
-  io_api:``. Set to ``"direct"`` to increase model reading and writing
+* Add support for the linopy `io_api` option under ``solving: options:
+  io_api:`. Set to `"direct"`` to increase model reading and writing
   performance for the highs and gurobi solvers on slow file systems
-  (https://github.com/PyPSA/pypsa-eur/pull/892).
+  ([#892](https://github.com/PyPSA/pypsa-eur/pull/892)).
 
 * It is now possible to determine the directory for shared resources by setting
-  `shared_resources` to a string (https://github.com/PyPSA/pypsa-eur/pull/906).
+  `shared_resources` to a string ([#906](https://github.com/PyPSA/pypsa-eur/pull/906)).
 
-* Improve ``mock_snakemake()`` for usage in Snakemake modules
-  (https://github.com/PyPSA/pypsa-eur/pull/869).
+* Improve `mock_snakemake()` for usage in Snakemake modules
+  ([#869](https://github.com/PyPSA/pypsa-eur/pull/869)).
 
 **Breaking Changes**
 
-* Remove long-deprecated function ``attach_extendable_generators`` in
-  :mod:`add_electricity`.
+* Remove long-deprecated function `attach_extendable_generators` in
+  [add_electricity][].
 
 * Remove option for wave energy as technology data is not maintained.
 
@@ -1823,169 +1792,164 @@ PyPSA-Eur 0.10.0 (19th February 2024)
   the convention of the other components. Therefore, `bus0` refers to the
   electricity bus (input), `bus1` to the heat bus (input), 'bus2' to the CO2
   atmosphere bus (input), and `bus3` to the CO2 storage bus (output)
-  (https://github.com/PyPSA/pypsa-eur/pull/901).
+  ([#901](https://github.com/PyPSA/pypsa-eur/pull/901)).
 
 **Changes**
 
-* Upgrade default techno-economic assumptions to ``technology-data`` v0.8.0.
+* Upgrade default techno-economic assumptions to `technology-data` v0.8.0.
 
 * Update hydrogen pipeline losses to latest data from Danish Energy Agency
-  (https://github.com/PyPSA/pypsa-eur/pull/933).
+  ([#933](https://github.com/PyPSA/pypsa-eur/pull/933)).
 
 * Move building of daily heat profile to its own rule
-  :mod:`build_hourly_heat_demand` from :mod:`prepare_sector_network`
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
+  [build_hourly_heat_demand][] from [prepare_sector_network][]
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
 
-* In :mod:`build_energy_totals`, district heating shares are now reported in a
-  separate file (https://github.com/PyPSA/pypsa-eur/pull/884).
+* In [build_energy_totals][], district heating shares are now reported in a
+  separate file ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
 
 * Move calculation of district heating share to its own rule
-  :mod:`build_district_heat_share`
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
+  [build_district_heat_share][]
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
 
 * Move building of distribution of existing heating to own rule
-  :mod:`build_existing_heating_distribution`. This makes the distribution of
+  [build_existing_heating_distribution][]. This makes the distribution of
   existing heating to urban/rural, residential/services and spatially more
-  transparent (https://github.com/PyPSA/pypsa-eur/pull/884).
+  transparent ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
 
 * Default settings for recycling rates and primary product shares of high-value
-  chemicals have been set in accordance with the values used in `Neumann et al.
-  (2023) <https://doi.org/10.1016/j.joule.2023.06.016>`__ linearly interpolated
-  between 2020 and 2050. The recycling rates are based on data from `Agora
-  Energiewende (2021)
-  <https://static.agora-energiewende.de/fileadmin/Projekte/2021/2021_02_EU_CEAP/A-EW_254_Mobilising-circular-economy_study_WEB.pdf>`__.
+  chemicals have been set in accordance with the values used in [Neumann et al. (2023)](https://doi.org/10.1016/j.joule.2023.06.016) linearly interpolated
+  between 2020 and 2050. The recycling rates are based on data from [Agora Energiewende (2021)](https://static.agora-energiewende.de/fileadmin/Projekte/2021/2021_02_EU_CEAP/A-EW_254_Mobilising-circular-economy_study_WEB.pdf).
 
 * Air-sourced heat pumps can now also be built in rural areas. Previously, only
   ground-sourced heat pumps were considered for this category
-  (https://github.com/PyPSA/pypsa-eur/pull/890).
+  ([#890](https://github.com/PyPSA/pypsa-eur/pull/890)).
 
-* The default configuration ``config/config.default.yaml`` is now automatically
-  used as a base configuration file. The file ``config/config.yaml`` can now be
+* The default configuration `config/config.default.yaml` is now automatically
+  used as a base configuration file. The file `config/config.yaml` can now be
   used to only define deviations from the default configuration. The
-  ``config/config.default.yaml`` is still copied into ``config/config.yaml`` on
-  first usage (https://github.com/PyPSA/pypsa-eur/pull/925).
+  `config/config.default.yaml` is still copied into `config/config.yaml` on
+  first usage ([#925](https://github.com/PyPSA/pypsa-eur/pull/925)).
 
 * Regions are assigned to all buses with unique coordinates in the network with
   a preference given to substations. Previously, only substations had assigned
   regions, but this could lead to issues when a high spatial resolution was
-  applied (https://github.com/PyPSA/pypsa-eur/pull/922).
+  applied ([#922](https://github.com/PyPSA/pypsa-eur/pull/922)).
 
 * Define global constraint for CO2 emissions on the final state of charge of the
   CO2 atmosphere store. This gives a more sparse constraint that should improve
   the performance of the solving process
-  (https://github.com/PyPSA/pypsa-eur/pull/862).
+  ([#862](https://github.com/PyPSA/pypsa-eur/pull/862)).
 
 * Switched the energy totals year from 2011 to 2013 to comply with the assumed
-  default weather year (https://github.com/PyPSA/pypsa-eur/pull/934).
+  default weather year ([#934](https://github.com/PyPSA/pypsa-eur/pull/934)).
 
 * Cluster residential and services heat buses by default. Can be disabled with
-  ``cluster_heat_buses: false`` (https://github.com/PyPSA/pypsa-eur/pull/877).
+  `cluster_heat_buses: false` ([#877](https://github.com/PyPSA/pypsa-eur/pull/877)).
 
-* The rule ``plot_network`` has been split into separate rules for plotting
+* The rule `plot_network` has been split into separate rules for plotting
   electricity, hydrogen and gas networks
-  (https://github.com/PyPSA/pypsa-eur/pull/900).
+  ([#900](https://github.com/PyPSA/pypsa-eur/pull/900)).
 
 * To determine the optimal topology to meet the number of clusters, the workflow
-  used pyomo in combination with ``ipopt`` or ``gurobi``. This dependency has
-  been replaced by using ``linopy`` in combination with ``scipopt`` or
-  ``gurobi``. The environment file has been updated accordingly
-  (https://github.com/PyPSA/pypsa-eur/pull/903).
+  used pyomo in combination with `ipopt` or `gurobi`. This dependency has
+  been replaced by using `linopy` in combination with `scipopt` or
+  `gurobi`. The environment file has been updated accordingly
+  ([#903](https://github.com/PyPSA/pypsa-eur/pull/903)).
 
-* The ``highs`` solver was added to the default environment file.
+* The `highs` solver was added to the default environment file.
 
 * New default solver settings for COPT solver
-  (https://github.com/PyPSA/pypsa-eur/pull/882).
+  ([#882](https://github.com/PyPSA/pypsa-eur/pull/882)).
 
 * Data retrieval rules now use their own minimal conda environment. This can
   avoid unnecessary reruns of the workflow
-  (https://github.com/PyPSA/pypsa-eur/pull/888).
+  ([#888](https://github.com/PyPSA/pypsa-eur/pull/888)).
 
 * Merged two OPSD time series data versions into such that the option ``load:
   power_statistics:`` becomes superfluous and was hence removed
-  (https://github.com/PyPSA/pypsa-eur/pull/924).
+  ([#924](https://github.com/PyPSA/pypsa-eur/pull/924)).
 
-* The filtering of power plants in the ``config.default.yaml`` has been updated
+* The filtering of power plants in the `config.default.yaml` has been updated
   regarding phased-out power plants in 2023.
 
 * Include all countries in ammonia production resource. This is so that the full
   EU28 ammonia demand can be correctly subtracted in the rule
-  :mod:`build_industry_sector_ratios`
-  (https://github.com/PyPSA/pypsa-eur/pull/931).
+  [build_industry_sector_ratios][]
+  ([#931](https://github.com/PyPSA/pypsa-eur/pull/931)).
 
 * Correctly source the existing heating technologies for buildings since the
   source URL has changed. It represents the year 2012 and is only for buildings,
-  not district heating (https://github.com/PyPSA/pypsa-eur/pull/918).
+  not district heating ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
 
 * Add warning when BEV availability weekly profile has negative values in
-  `build_transport_demand` (https://github.com/PyPSA/pypsa-eur/pull/858).
+  `build_transport_demand` ([#858](https://github.com/PyPSA/pypsa-eur/pull/858)).
 
 * Time series clipping for very small values was added for Links
-  (https://github.com/PyPSA/pypsa-eur/pull/870).
+  ([#870](https://github.com/PyPSA/pypsa-eur/pull/870)).
 
-* A ``test.sh`` script was added to the repository to run the tests locally.
+* A `test.sh` script was added to the repository to run the tests locally.
 
-* The CI now tests additionally against ``master`` versions of PyPSA, atlite and
-  powerplantmatching (https://github.com/PyPSA/pypsa-eur/pull/904).
+* The CI now tests additionally against `master` versions of PyPSA, atlite and
+  powerplantmatching ([#904](https://github.com/PyPSA/pypsa-eur/pull/904)).
 
-* A function ``sanitize_locations()`` was added to improve the coverage of the
-  ``location`` attribute of network components.
+* A function `sanitize_locations()` was added to improve the coverage of the
+  `location` attribute of network components.
 
 **Bugs and Compatibility**
 
 * Bugfix: Do not reduce district heat share when building population-weighted
   energy statistics. Previously the district heating share was being multiplied
   by the population weighting, reducing the DH share with multiple nodes
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
 
 * Bugfix: The industry coal emissions for industry were not properly tracked
-  (https://github.com/PyPSA/pypsa-eur/pull/923).
+  ([#923](https://github.com/PyPSA/pypsa-eur/pull/923)).
 
 * Bugfix: Correct units of subtracted chlorine and methanol demand in
-  :mod:`build_industry_sector_ratios`
-  (https://github.com/PyPSA/pypsa-eur/pull/930).
+  [build_industry_sector_ratios][]
+  ([#930](https://github.com/PyPSA/pypsa-eur/pull/930)).
 
 * Various minor bugfixes to the perfect foresight workflow, though perfect
   foresight must still be considered experimental
-  (https://github.com/PyPSA/pypsa-eur/pull/910).
+  ([#910](https://github.com/PyPSA/pypsa-eur/pull/910)).
 
 * Fix plotting of retrofitted hydrogen pipelines with myopic pathway
-  optimisation (https://github.com/PyPSA/pypsa-eur/pull/937).
+  optimisation ([#937](https://github.com/PyPSA/pypsa-eur/pull/937)).
 
 * Bugfix: Correct technology keys for the electricity production plotting to
   work out the box.
 
 * Bugfix: Assure entering of code block which corrects Norwegian heat demand
-  (https://github.com/PyPSA/pypsa-eur/pull/870).
+  ([#870](https://github.com/PyPSA/pypsa-eur/pull/870)).
 
 * Stacktrace of uncaught exceptions should now be correctly included inside log
   files (via `configure_logging(..)`)
-  (https://github.com/PyPSA/pypsa-eur/pull/875).
+  ([#875](https://github.com/PyPSA/pypsa-eur/pull/875)).
 
 * Bugfix: Correctly read out number of solver threads from configuration file
-  (https://github.com/PyPSA/pypsa-eur/pull/889).
+  ([#889](https://github.com/PyPSA/pypsa-eur/pull/889)).
 
 * Made copying default config file compatible with snakemake module
-  (https://github.com/PyPSA/pypsa-eur/pull/894).
+  ([#894](https://github.com/PyPSA/pypsa-eur/pull/894)).
 
-* Compatibility with ``pandas=2.2``
-  (https://github.com/PyPSA/pypsa-eur/pull/861).
+* Compatibility with `pandas=2.2`
+  ([#861](https://github.com/PyPSA/pypsa-eur/pull/861)).
 
-Special thanks for this release to Koen van Greevenbroek (`@koen-vg
-<https://github.com/koen-vg>`__) for various new features, bugfixes and taking
+Special thanks for this release to Koen van Greevenbroek ([koen-vg](https://github.com/koen-vg)) for various new features, bugfixes and taking
 care of deprecations.
 
 
-PyPSA-Eur 0.9.0 (5th January 2024)
-==================================
+## PyPSA-Eur 0.9.0 (5th January 2024)
 
 **New Features**
 
 * Add option to specify losses for bidirectional links, e.g. pipelines or HVDC
-  links, in configuration file under ``sector: transmission_efficiency:``. Users
+  links, in configuration file under `sector: transmission_efficiency:`. Users
   can specify static or length-dependent values as well as a length-dependent
   electricity demand for compression, which is implemented as a multi-link to
   the local electricity buses. The bidirectional links will then be split into
-  two unidirectional links with linked capacities (https://github.com/PyPSA/pypsa-eur/pull/739).
+  two unidirectional links with linked capacities ([#739](https://github.com/PyPSA/pypsa-eur/pull/739)).
 
 * Merged option to extend geographical scope to Ukraine and Moldova. These
   countries are excluded by default and is currently constrained to power-sector
@@ -1995,38 +1959,34 @@ PyPSA-Eur 0.9.0 (5th January 2024)
   Moldova). Moldova can currently only be included in conjunction with Ukraine
   due to the absence of demand data. The Crimean power system is manually
   reconnected to the main Ukrainian grid with the configuration option
-  `reconnect_crimea` (https://github.com/PyPSA/pypsa-eur/pull/321).
+  `reconnect_crimea` ([#321](https://github.com/PyPSA/pypsa-eur/pull/321)).
 
 * New experimental support for multi-decade optimisation with perfect foresight
-  (``foresight: perfect``). Maximum growth rates for carriers, global carbon
+  (`foresight: perfect`). Maximum growth rates for carriers, global carbon
   budget constraints and emission constraints for particular investment periods.
 
 * Add option to reference an additional source file where users can specify
-  custom ``extra_functionality`` constraints in the configuration file. The
+  custom `extra_functionality` constraints in the configuration file. The
   default setting points to an empty hull at
-  ``data/custom_extra_functionality.py`` (https://github.com/PyPSA/pypsa-eur/pull/824).
+  `data/custom_extra_functionality.py` ([#824](https://github.com/PyPSA/pypsa-eur/pull/824)).
 
 * Add locations, capacities and costs of existing gas storage using Global
-  Energy Monitor's `Europe Gas Tracker
-  <https://globalenergymonitor.org/projects/europe-gas-tracker>`__
-  (https://github.com/PyPSA/pypsa-eur/pull/835).
+  Energy Monitor's [Europe Gas Tracker](https://globalenergymonitor.org/projects/europe-gas-tracker)
+  ([#835](https://github.com/PyPSA/pypsa-eur/pull/835)).
 
-* Add option to use `LUISA Base Map
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC124621>`__ 50m land
+* Add option to use [LUISA Base Map](https://publications.jrc.ec.europa.eu/repository/handle/JRC124621) 50m land
   coverage dataset for land eligibility analysis in
-  :mod:`build_renewable_profiles`. Settings are analogous to the CORINE dataset
-  but with the key ``luisa:`` in the configuration file. To leverage the
+  [build_renewable_profiles][]. Settings are analogous to the CORINE dataset
+  but with the key `luisa:` in the configuration file. To leverage the
   dataset's full advantages, set the excluder resolution to 50m
-  (``excluder_resolution: 50``). For land category codes, see `Annex 1 of the
-  technical documentation
-  <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`__
-  (https://github.com/PyPSA/pypsa-eur/pull/842).
+  (`excluder_resolution: 50`). For land category codes, see [Annex 1 of the technical documentation](https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf)
+  ([#842](https://github.com/PyPSA/pypsa-eur/pull/842)).
 
 * Add option to capture CO2 contained in biogas when upgrading (``sector:
-  biogas_to_gas_cc``) (https://github.com/PyPSA/pypsa-eur/pull/615).
+  biogas_to_gas_cc``) ([#615](https://github.com/PyPSA/pypsa-eur/pull/615)).
 
 * If load shedding is activated, it is now applied to all carriers, not only
-  electricity (https://github.com/PyPSA/pypsa-eur/pull/784).
+  electricity ([#784](https://github.com/PyPSA/pypsa-eur/pull/784)).
 
 * Add option for heat vents in district heating (``sector:
   central_heat_vent:``). The combination of must-run conditions for some
@@ -2034,109 +1994,109 @@ PyPSA-Eur 0.9.0 (5th January 2024)
   can lead to infeasibilities in pathway optimisation for some investment
   periods since larger Fischer-Tropsch capacities are needed in early years but
   the waste heat exceeds the heat demand in later investment periods.
-  (https://github.com/PyPSA/pypsa-eur/pull/791).
+  ([#791](https://github.com/PyPSA/pypsa-eur/pull/791)).
 
 * Allow possibility to go from copperplated to regionally resolved methanol and
-  oil demand with switches ``sector: regional_methanol_demand: true`` and
-  ``sector: regional_oil_demand: true``. This allows nodal/regional CO2
-  constraints to be applied (https://github.com/PyPSA/pypsa-eur/pull/827).
+  oil demand with switches `sector: regional_methanol_demand: true` and
+  `sector: regional_oil_demand: true`. This allows nodal/regional CO2
+  constraints to be applied ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
 
 * Allow retrofitting of existing gas boilers to hydrogen boilers in pathway
   optimisation.
 
 * Add option to add time-varying CO2 emission prices (electricity-only, ``costs:
   emission_prices: co2_monthly_prices: true``). This is linked to the new
-  ``{opts}`` wildcard option ``Ept``.
+  `{opts}` wildcard option `Ept`.
 
 * Network clustering can now consider efficiency classes when aggregating
-  carriers. The option ``clustering: consider_efficiency_classes:`` aggregates
+  carriers. The option `clustering: consider_efficiency_classes:` aggregates
   each carriers into the top 10-quantile (high), the bottom 90-quantile (low),
   and everything in between (medium).
 
-* Added option ``conventional: dynamic_fuel_price:`` to consider the monthly
+* Added option `conventional: dynamic_fuel_price:` to consider the monthly
   fluctuating fuel prices for conventional generators. Refer to the CSV file
-  ``data/validation/monthly_fuel_price.csv``.
+  `data/validation/monthly_fuel_price.csv`.
 
-* For hydro-electricity, add switches ``flatten_dispatch`` to consider an upper
+* For hydro-electricity, add switches `flatten_dispatch` to consider an upper
   limit for the hydro dispatch. The limit is given by the average capacity
-  factor plus the buffer given in  ``flatten_dispatch_buffer``.
+  factor plus the buffer given in  `flatten_dispatch_buffer`.
 
 * Extend options for waste heat usage from Haber-Bosch, methanolisation and
-  methanation (https://github.com/PyPSA/pypsa-eur/pull/834).
+  methanation ([#834](https://github.com/PyPSA/pypsa-eur/pull/834)).
 
-* Add new ``sector_opts`` wildcard option "nowasteheat" to disable all waste
-  heat usage (https://github.com/PyPSA/pypsa-eur/pull/834).
+* Add new `sector_opts` wildcard option "nowasteheat" to disable all waste
+  heat usage ([#834](https://github.com/PyPSA/pypsa-eur/pull/834)).
 
-* Add new rule ``retrieve_irena`` to automatically retrieve up-to-date values
-  for existing renewables capacities (https://github.com/PyPSA/pypsa-eur/pull/756).
+* Add new rule `retrieve_irena` to automatically retrieve up-to-date values
+  for existing renewables capacities ([#756](https://github.com/PyPSA/pypsa-eur/pull/756)).
 
 * Print Irreducible Infeasible Subset (IIS) if model is infeasible. Only for
-  solvers with IIS support (https://github.com/PyPSA/pypsa-eur/pull/841).
+  solvers with IIS support ([#841](https://github.com/PyPSA/pypsa-eur/pull/841)).
 
 * More wildcard options now have a corresponding config entry. If the wildcard
   is given, then its value is used. If the wildcard is not given but the options
   in config are enabled, then the value from config is used. If neither is
-  given, the options are skipped (https://github.com/PyPSA/pypsa-eur/pull/827).
+  given, the options are skipped ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
 
 * Validate downloads from Zenodo using MD5 checksums. This identifies corrupted
-  or incomplete downloads (https://github.com/PyPSA/pypsa-eur/pull/821).
+  or incomplete downloads ([#821](https://github.com/PyPSA/pypsa-eur/pull/821)).
 
-* Add rule ``sync`` to synchronise with a remote machine using the ``rsync``
-  library. Configuration settings are found under ``remote:``.
+* Add rule `sync` to synchronise with a remote machine using the `rsync`
+  library. Configuration settings are found under `remote:`.
 
 **Breaking Changes**
 
-* Remove all negative loads on the ``co2 atmosphere`` bus representing emissions
+* Remove all negative loads on the `co2 atmosphere` bus representing emissions
   for e.g. fixed fossil demands for transport oil. Instead these are handled
   more transparently with a fixed transport oil demand and a link taking care of
-  the emissions to the ``co2 atmosphere`` bus. This is also a preparation for
+  the emissions to the `co2 atmosphere` bus. This is also a preparation for
   endogenous transport optimisation, where demand will be subject to
   optimisation (e.g. fuel switching in the transport sector)
-  (https://github.com/PyPSA/pypsa-eur/pull/827).
+  ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
 
 * Process emissions from steam crackers (i.e. naphtha processing for HVC) are
   now piped from the consumption link to the process emissions bus where the
   model can decide about carbon capture. Previously the process emissions for
-  naphtha were a fixed load (https://github.com/PyPSA/pypsa-eur/pull/827).
+  naphtha were a fixed load ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
 
 * Distinguish between stored and sequestered CO2. Stored CO2 is stored
   overground in tanks and can be used for CCU (e.g. methanolisation).
   Sequestered CO2 is stored underground and can no longer be used for CCU. This
   distinction is made because storage in tanks is more expensive than
   underground storage. The link that connects stored and sequestered CO2 is
-  unidirectional (https://github.com/PyPSA/pypsa-eur/pull/844).
+  unidirectional ([#844](https://github.com/PyPSA/pypsa-eur/pull/844)).
 
-* Files extracted from sector-coupled data bundle have been moved from ``data/``
-  to ``data/sector-bundle``.
+* Files extracted from sector-coupled data bundle have been moved from `data/`
+  to `data/sector-bundle`.
 
-* Split configuration to enable SMR and SMR CC (``sector: smr:`` and ``sector:
-  smr_cc:``) (https://github.com/PyPSA/pypsa-eur/pull/757).
+* Split configuration to enable SMR and SMR CC (`sector: smr:` and ``sector:
+  smr_cc:``) ([#757](https://github.com/PyPSA/pypsa-eur/pull/757)).
 
 * Add separate option to add resistive heaters to the technology choices
-  (``sector: resistive_heaters:``). Previously they were always added when
-  boilers were added (https://github.com/PyPSA/pypsa-eur/pull/808).
+  (`sector: resistive_heaters:`). Previously they were always added when
+  boilers were added ([#808](https://github.com/PyPSA/pypsa-eur/pull/808)).
 
-* Remove HELMETH option (``sector: helmeth:``).
+* Remove HELMETH option (`sector: helmeth:`).
 
 * Remove "conservative" renewable potentials estimation option
-  (https://github.com/PyPSA/pypsa-eur/pull/838).
+  ([#838](https://github.com/PyPSA/pypsa-eur/pull/838)).
 
 * With this release we stop posting updates to the network pre-builts.
 
 **Changes**
 
 * Updated Global Energy Monitor LNG terminal data to March 2023 version
-  (https://github.com/PyPSA/pypsa-eur/pull/707).
+  ([#707](https://github.com/PyPSA/pypsa-eur/pull/707)).
 
 * For industry distribution, use EPRTR as fallback if ETS data is not available
-  (https://github.com/PyPSA/pypsa-eur/pull/721).
+  ([#721](https://github.com/PyPSA/pypsa-eur/pull/721)).
 
 * It is now possible to specify years for biomass potentials which do not exist
   in the JRC-ENSPRESO database, e.g. 2037. These are linearly interpolated
-  (https://github.com/PyPSA/pypsa-eur/pull/744).
+  ([#744](https://github.com/PyPSA/pypsa-eur/pull/744)).
 
 * In pathway mode, the biomass potential is linked to the investment year
-  (https://github.com/PyPSA/pypsa-eur/pull/744).
+  ([#744](https://github.com/PyPSA/pypsa-eur/pull/744)).
 
 * Increase allowed deployment density of solar to 5.1 MW/sqkm by default.
 
@@ -2145,7 +2105,7 @@ PyPSA-Eur 0.9.0 (5th January 2024)
 * Provide exogenous transition settings in 5-year steps.
 
 * Default to approximating transmission losses in HVAC lines
-  (``transmission_losses: 2``).
+  (`transmission_losses: 2`).
 
 * Use electrolysis waste heat by default.
 
@@ -2153,357 +2113,350 @@ PyPSA-Eur 0.9.0 (5th January 2024)
   methanation, and to 70% for Fischer-Tropsch synthesis.
 
 * Add VOM as marginal cost to PtX processes
-  (https://github.com/PyPSA/pypsa-eur/pull/830).
+  ([#830](https://github.com/PyPSA/pypsa-eur/pull/830)).
 
-* Add pelletizing costs for biomass boilers (https://github.com/PyPSA/pypsa-eur/pull/833).
+* Add pelletizing costs for biomass boilers ([#833](https://github.com/PyPSA/pypsa-eur/pull/833)).
 
 * Update default offshore wind turbine model to "NREL Reference 2020 ATB 5.5 MW"
-  (https://github.com/PyPSA/pypsa-eur/pull/832).
+  ([#832](https://github.com/PyPSA/pypsa-eur/pull/832)).
 
 * Switch to using hydrogen and electricity inputs for Haber-Bosch from
-  https://github.com/PyPSA/technology-data (https://github.com/PyPSA/pypsa-eur/pull/831).
+  https://github.com/PyPSA/technology-data ([#831](https://github.com/PyPSA/pypsa-eur/pull/831)).
 
 * The configuration setting for country focus weights when clustering the
-  network has been moved from ``focus_weights:`` to ``clustering:
+  network has been moved from `focus_weights:` to ``clustering:
   focus_weights:``. Backwards compatibility to old config files is maintained
-  (https://github.com/PyPSA/pypsa-eur/pull/794).
+  ([#794](https://github.com/PyPSA/pypsa-eur/pull/794)).
 
-* The ``mock_snakemake`` function can now be used with a Snakefile from a
-  different directory using the new ``root_dir`` argument
-  (https://github.com/PyPSA/pypsa-eur/pull/771).
+* The `mock_snakemake` function can now be used with a Snakefile from a
+  different directory using the new `root_dir` argument
+  ([#771](https://github.com/PyPSA/pypsa-eur/pull/771)).
 
-* Rule ``purge`` now initiates a dialog to confirm if purge is desired
-  (https://github.com/PyPSA/pypsa-eur/pull/745).
+* Rule `purge` now initiates a dialog to confirm if purge is desired
+  ([#745](https://github.com/PyPSA/pypsa-eur/pull/745)).
 
 * Files downloaded from zenodo are now write-protected to prevent accidental
-  re-download (https://github.com/PyPSA/pypsa-eur/pull/730).
+  re-download ([#730](https://github.com/PyPSA/pypsa-eur/pull/730)).
 
-* Performance improvements for rule ``build_ship_raster``
-  (https://github.com/PyPSA/pypsa-eur/pull/845).
+* Performance improvements for rule `build_ship_raster`
+  ([#845](https://github.com/PyPSA/pypsa-eur/pull/845)).
 
-* Improve time logging in :mod:`build_renewable_profiles`
-  (https://github.com/PyPSA/pypsa-eur/pull/837).
+* Improve time logging in [build_renewable_profiles][]
+  ([#837](https://github.com/PyPSA/pypsa-eur/pull/837)).
 
 * In myopic pathway optimisation, disable power grid expansion if line volume
-  already hit (https://github.com/PyPSA/pypsa-eur/pull/840).
+  already hit ([#840](https://github.com/PyPSA/pypsa-eur/pull/840)).
 
 * JRC-ENSPRESO data is now downloaded from a Zenodo mirror because the link was
-  unreliable (https://github.com/PyPSA/pypsa-eur/pull/801).
+  unreliable ([#801](https://github.com/PyPSA/pypsa-eur/pull/801)).
 
 * Add focus weights option for clustering to documentation
-  (https://github.com/PyPSA/pypsa-eur/pull/781).
+  ([#781](https://github.com/PyPSA/pypsa-eur/pull/781)).
 
 * Add proxy for biomass transport costs if no explicit biomass transport network
-  is considered (https://github.com/PyPSA/pypsa-eur/pull/711).
+  is considered ([#711](https://github.com/PyPSA/pypsa-eur/pull/711)).
 
 **Bugs and Compatibility**
 
 * The minimum PyPSA version is now 0.26.1.
 
-* Update to ``tsam>=0.2.3`` for performance improvements in temporal clustering.
+* Update to `tsam>=0.2.3` for performance improvements in temporal clustering.
 
-* Pin ``snakemake`` version to below 8.0.0, as the new version is not yet
-  supported. The next release will switch to the requirement ``snakemake>=8``.
+* Pin `snakemake` version to below 8.0.0, as the new version is not yet
+  supported. The next release will switch to the requirement `snakemake>=8`.
 
 * Bugfix: Add coke and coal demand for integrated steelworks
-  (https://github.com/PyPSA/pypsa-eur/pull/718).
+  ([#718](https://github.com/PyPSA/pypsa-eur/pull/718)).
 
-* Bugfix: Make :mod:`build_renewable_profiles` consider subsets of cutout time
-  scope (https://github.com/PyPSA/pypsa-eur/pull/709).
+* Bugfix: Make [build_renewable_profiles][] consider subsets of cutout time
+  scope ([#709](https://github.com/PyPSA/pypsa-eur/pull/709)).
 
-* Bugfix: In :mod:`simplify network`, remove 'underground' column to avoid
-  consense error (https://github.com/PyPSA/pypsa-eur/pull/714).
+* Bugfix: In [simplify_network][], remove 'underground' column to avoid
+  consense error ([#714](https://github.com/PyPSA/pypsa-eur/pull/714)).
 
-* Bugfix: Fix in :mod:`add_existing_baseyear` to account for the case when there
+* Bugfix: Fix in [add_existing_baseyear][] to account for the case when there
   is no rural heating demand for some nodes in network
-  (https://github.com/PyPSA/pypsa-eur/pull/706).
+  ([#706](https://github.com/PyPSA/pypsa-eur/pull/706)).
 
 * Bugfix: The unit of the capital cost of Haber-Bosch plants was corrected
-  (https://github.com/PyPSA/pypsa-eur/pull/829).
+  ([#829](https://github.com/PyPSA/pypsa-eur/pull/829)).
 
 * The minimum capacity for renewable generators when using the myopic option has
-  been fixed (https://github.com/PyPSA/pypsa-eur/pull/728).
+  been fixed ([#728](https://github.com/PyPSA/pypsa-eur/pull/728)).
 
 * Compatibility for running with single node and single country
-  (https://github.com/PyPSA/pypsa-eur/pull/839).
+  ([#839](https://github.com/PyPSA/pypsa-eur/pull/839)).
 
 * A bug preventing the addition of custom powerplants specified in
-  ``data/custom_powerplants.csv`` was fixed.
-  (https://github.com/PyPSA/pypsa-eur/pull/732)
+  `data/custom_powerplants.csv` was fixed.
+  ([#732](https://github.com/PyPSA/pypsa-eur/pull/732))
 
-* Fix nodal fraction in :mod:`add_existing_year` when using distributed
-  generators (https://github.com/PyPSA/pypsa-eur/pull/798).
+* Fix nodal fraction in `add_existing_year` when using distributed
+  generators ([#798](https://github.com/PyPSA/pypsa-eur/pull/798)).
 
 * Bugfix: District heating without progress caused division by zero
-  (https://github.com/PyPSA/pypsa-eur/pull/796).
+  ([#796](https://github.com/PyPSA/pypsa-eur/pull/796)).
 
-* Bugfix: Drop duplicates in :mod:`build_industrial_distribution_keys`, which
-  can occur through the geopandas ``.sjoin()`` function if a point is located on
-  a border (https://github.com/PyPSA/pypsa-eur/pull/726).
+* Bugfix: Drop duplicates in `build_industrial_distribution_keys`, which
+  can occur through the geopandas `.sjoin()` function if a point is located on
+  a border ([#726](https://github.com/PyPSA/pypsa-eur/pull/726)).
 
-* For network clustering fall back to ``ipopt`` when ``highs`` is designated
-  solver (https://github.com/PyPSA/pypsa-eur/pull/795).
+* For network clustering fall back to `ipopt` when `highs` is designated
+  solver ([#795](https://github.com/PyPSA/pypsa-eur/pull/795)).
 
-* Fix typo in buses definition for oil boilers in ``add_industry`` in
-  :mod:`prepare_sector_network` (https://github.com/PyPSA/pypsa-eur/pull/812).
+* Fix typo in buses definition for oil boilers in `add_industry` in
+  [prepare_sector_network][] ([#812](https://github.com/PyPSA/pypsa-eur/pull/812)).
 
 * Resolve code issues for endogenous building retrofitting. Select correct
   sector names, address deprecations, distinguish between district heating,
   decentral heating in urban areas or rural areas for floor area calculations
-  (https://github.com/PyPSA/pypsa-eur/pull/808).
+  ([#808](https://github.com/PyPSA/pypsa-eur/pull/808)).
 
 * Addressed various deprecations.
 
 
-PyPSA-Eur 0.8.1 (27th July 2023)
-================================
+## PyPSA-Eur 0.8.1 (27th July 2023)
 
 **New Features**
 
 * Add option to consider dynamic line rating based on wind speeds and
-  temperature according to `Glaum and Hofmann (2022)
-  <https://arxiv.org/abs/2208.04716>`__. See configuration section ``lines:
-  dynamic_line_rating:`` for more details. (https://github.com/PyPSA/pypsa-eur/pull/675)
+  temperature according to [Glaum and Hofmann (2022)](https://arxiv.org/abs/2208.04716). See configuration section ``lines:
+  dynamic_line_rating:`` for more details. ([#675](https://github.com/PyPSA/pypsa-eur/pull/675))
 
 * Add option to include a piecewise linear approximation of transmission losses,
-  e.g. by setting ``solving: options: transmission_losses: 2`` for an
-  approximation with two tangents. (https://github.com/PyPSA/pypsa-eur/pull/664)
+  e.g. by setting `solving: options: transmission_losses: 2` for an
+  approximation with two tangents. ([#664](https://github.com/PyPSA/pypsa-eur/pull/664))
 
 * Add plain hydrogen turbine as additional re-electrification option besides
   hydrogen fuel cell. Add switches for both re-electrification options under
-  ``sector: hydrogen_turbine:`` and ``sector: hydrogen_fuel_cell:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/647)
+  `sector: hydrogen_turbine:` and `sector: hydrogen_fuel_cell:`.
+  ([#647](https://github.com/PyPSA/pypsa-eur/pull/647))
 
-* Added configuration option ``lines: max_extension:`` and ``links:
+* Added configuration option `lines: max_extension:` and ``links:
   max_extension:``` to control the maximum capacity addition per line or link in
-  MW. (https://github.com/PyPSA/pypsa-eur/pull/665)
+  MW. ([#665](https://github.com/PyPSA/pypsa-eur/pull/665))
 
-* A ``param:`` section in the snakemake rule definitions was added to track
-  changed settings in ``config.yaml``. The goal is to automatically re-execute
-  rules where parameters have changed. See `Non-file parameters for rules
-  <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules>`__
-  in the snakemake documentation. (https://github.com/PyPSA/pypsa-eur/pull/663)
+* A `param:` section in the snakemake rule definitions was added to track
+  changed settings in `config.yaml`. The goal is to automatically re-execute
+  rules where parameters have changed. See [Non-file parameters for rules](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules)
+  in the snakemake documentation. ([#663](https://github.com/PyPSA/pypsa-eur/pull/663))
 
-* A new function named ``sanitize_carrier`` ensures that all unique carrier
+* A new function named `sanitize_carrier` ensures that all unique carrier
   names are present in the network's carriers attribute, and adds nice names and
   colors for each carrier according to the provided configuration dictionary.
-  (https://github.com/PyPSA/pypsa-eur/pull/653,
-  https://github.com/PyPSA/pypsa-eur/pull/690)
+  ([#653](https://github.com/PyPSA/pypsa-eur/pull/653),
+  [#690](https://github.com/PyPSA/pypsa-eur/pull/690))
 
 * The configuration settings have been documented in more detail.
-  (https://github.com/PyPSA/pypsa-eur/pull/685)
+  ([#685](https://github.com/PyPSA/pypsa-eur/pull/685))
 
 **Breaking Changes**
 
-* The configuration files are now located in the ``config`` directory. This
-  includes the ``config.default.yaml``, ``config.yaml`` as well as the test
-  configuration files which are now located in the ``config/test`` directory.
+* The configuration files are now located in the `config` directory. This
+  includes the `config.default.yaml`, `config.yaml` as well as the test
+  configuration files which are now located in the `config/test` directory.
   Config files that are still in the root directory will be ignored.
-  (https://github.com/PyPSA/pypsa-eur/pull/640)
+  ([#640](https://github.com/PyPSA/pypsa-eur/pull/640))
 
-* Renamed script and rule name from ``build_load_data`` to
-  ``build_electricity_demand`` and ``retrieve_load_data`` to
-  ``retrieve_electricity_demand``. (https://github.com/PyPSA/pypsa-eur/pull/642,
-  https://github.com/PyPSA/pypsa-eur/pull/652)
+* Renamed script and rule name from `build_load_data` to
+  `build_electricity_demand` and `retrieve_load_data` to
+  `retrieve_electricity_demand`. ([#642](https://github.com/PyPSA/pypsa-eur/pull/642),
+  [#652](https://github.com/PyPSA/pypsa-eur/pull/652))
 
 * Updated to new spatial clustering module introduced in PyPSA v0.25.
-  (https://github.com/PyPSA/pypsa-eur/pull/696)
+  ([#696](https://github.com/PyPSA/pypsa-eur/pull/696))
 
 **Changes**
 
 * Handling networks with links with multiple inputs/outputs no longer requires
   to override component attributes.
-  (https://github.com/PyPSA/pypsa-eur/pull/695)
+  ([#695](https://github.com/PyPSA/pypsa-eur/pull/695))
 
-* Added configuration option ``enable: retrieve:`` to control whether data
-  retrieval rules from snakemake are enabled or not. Th default setting ``auto``
+* Added configuration option `enable: retrieve:` to control whether data
+  retrieval rules from snakemake are enabled or not. Th default setting `auto`
   will automatically detect and enable/disable the rules based on internet
-  connectivity. (https://github.com/PyPSA/pypsa-eur/pull/694)
+  connectivity. ([#694](https://github.com/PyPSA/pypsa-eur/pull/694))
 
-* Update to ``technology-data`` v0.6.0.
-  (https://github.com/PyPSA/pypsa-eur/pull/704)
+* Update to `technology-data` v0.6.0.
+  ([#704](https://github.com/PyPSA/pypsa-eur/pull/704))
 
-* Handle data bundle extraction paths via ``snakemake.output``.
+* Handle data bundle extraction paths via `snakemake.output`.
 
-* Additional technologies are added to ``tech_color`` in the configuration files
+* Additional technologies are added to `tech_color` in the configuration files
   to include previously unlisted carriers.
 
 * Doc: Added note that Windows is only tested in CI with WSL.
-  (https://github.com/PyPSA/pypsa-eur/issues/697)
+  ([#697](https://github.com/PyPSA/pypsa-eur/issues/697))
 
-* Doc: Add support section. (https://github.com/PyPSA/pypsa-eur/pull/656)
+* Doc: Add support section. ([#656](https://github.com/PyPSA/pypsa-eur/pull/656))
 
-* Open ``rasterio`` files with ``rioxarray``.
-  (https://github.com/PyPSA/pypsa-eur/pull/474)
+* Open `rasterio` files with `rioxarray`.
+  ([#474](https://github.com/PyPSA/pypsa-eur/pull/474))
 
-* Migrate CI to ``micromamba``. (https://github.com/PyPSA/pypsa-eur/pull/700)
+* Migrate CI to `micromamba`. ([#700](https://github.com/PyPSA/pypsa-eur/pull/700))
 
 **Bugs and Compatibility**
 
 * The new minimum PyPSA version is v0.25.1.
 
-* Removed ``vresutils`` dependency.
-  (https://github.com/PyPSA/pypsa-eur/pull/662)
+* Removed `vresutils` dependency.
+  ([#662](https://github.com/PyPSA/pypsa-eur/pull/662))
 
-* Adapt to new ``powerplantmatching`` version.
-  (https://github.com/PyPSA/pypsa-eur/pull/687,
-  https://github.com/PyPSA/pypsa-eur/pull/701)
+* Adapt to new `powerplantmatching` version.
+  ([#687](https://github.com/PyPSA/pypsa-eur/pull/687),
+  [#701](https://github.com/PyPSA/pypsa-eur/pull/701))
 
 * Bugfix: Correct typo in the CPLEX solver configuration in
-  ``config.default.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/630)
+  `config.default.yaml`. ([#630](https://github.com/PyPSA/pypsa-eur/pull/630))
 
-* Bugfix: Error in ``add_electricity`` where carriers were added multiple times
+* Bugfix: Error in `add_electricity` where carriers were added multiple times
   to the network, resulting in a non-unique carriers error.
 
 * Bugfix of optional reserve constraint.
-  (https://github.com/PyPSA/pypsa-eur/pull/645)
+  ([#645](https://github.com/PyPSA/pypsa-eur/pull/645))
 
 * Fix broken equity constraints logic.
-  (https://github.com/PyPSA/pypsa-eur/pull/679)
+  ([#679](https://github.com/PyPSA/pypsa-eur/pull/679))
 
 * Fix addition of load shedding generators.
-  (https://github.com/PyPSA/pypsa-eur/pull/649)
+  ([#649](https://github.com/PyPSA/pypsa-eur/pull/649))
 
 * Fix automatic building of documentation on readthedocs.org.
-  (https://github.com/PyPSA/pypsa-eur/pull/658)
+  ([#658](https://github.com/PyPSA/pypsa-eur/pull/658))
 
 * Bugfix: Update network clustering to avoid adding deleted links in clustered
-  network. (https://github.com/PyPSA/pypsa-eur/pull/678)
+  network. ([#678](https://github.com/PyPSA/pypsa-eur/pull/678))
 
-* Address ``geopandas`` deprecations.
-  (https://github.com/PyPSA/pypsa-eur/pull/678)
+* Address `geopandas` deprecations.
+  ([#678](https://github.com/PyPSA/pypsa-eur/pull/678))
 
 * Fix bug with underground hydrogen storage creation, where for some small model
   regions no cavern storage is available.
-  (https://github.com/PyPSA/pypsa-eur/pull/672)
+  ([#672](https://github.com/PyPSA/pypsa-eur/pull/672))
 
 
-* Addressed deprecation warnings for ``pandas=2.0``. ``pandas=2.0`` is now minimum requirement.
+* Addressed deprecation warnings for `pandas=2.0`. `pandas=2.0` is now minimum requirement.
 
-PyPSA-Eur 0.8.0 (18th March 2023)
-=================================
+## PyPSA-Eur 0.8.0 (18th March 2023)
 
-.. note::
-  This is the first release of PyPSA-Eur which incorporates its sector-coupled extension PyPSA-Eur-Sec (v0.7.0).
-  PyPSA-Eur can now directly be used for high-resolution energy system modelling with sector-coupling
-  including industry, transport, buildings, biomass, and detailed carbon management. The PyPSA-Eur-Sec repository is now deprecated.
+!!! note
+    This is the first release of PyPSA-Eur which incorporates its sector-coupled extension PyPSA-Eur-Sec (v0.7.0).
+    PyPSA-Eur can now directly be used for high-resolution energy system modelling with sector-coupling
+    including industry, transport, buildings, biomass, and detailed carbon management. The PyPSA-Eur-Sec repository is now deprecated.
 
-* The :mod:`solve_network` script now uses the ``linopy`` backend of PyPSA and is applied for both electricity-only and sector-coupled models. This
-  requires an adjustment of custom ``extra_functionality``.
-  See the `migration guide <https://pypsa.readthedocs.io/en/latest/examples/optimization-with-linopy-migrate-extra-functionalities.html>`__ in the PyPSA documentation.
+* The [solve_network][] script now uses the `linopy` backend of PyPSA and is applied for both electricity-only and sector-coupled models. This
+  requires an adjustment of custom `extra_functionality`.
+  See the [migration guide](https://pypsa.readthedocs.io/en/latest/examples/optimization-with-linopy-migrate-extra-functionalities.html) in the PyPSA documentation.
 
-* The configuration file ``config.default.yaml`` now also includes settings for
+* The configuration file `config.default.yaml` now also includes settings for
   sector-coupled models, which will be ignored when the user runs
   electricity-only studies. Common settings have been aligned.
 
 * Unified handling of scenario runs. Users can name their scenarios in ``run:
   name:``, which will encapsulate results in a correspondingly named folder
-  under ``results``. Additionally, users can select to encapsulate the ``resources`` folder
-  in the same way, through the setting ``run: shared_resources:``.
+  under `results`. Additionally, users can select to encapsulate the `resources` folder
+  in the same way, through the setting `run: shared_resources:`.
 
-* The solver configurations in ``config.default.yaml`` are now modularized. To
+* The solver configurations in `config.default.yaml` are now modularized. To
   change the set of solver options, change to value in ``solving: solver:
-  options:`` to one of the keys in ``solving: solver_options:``.
+  options:` to one of the keys in `solving: solver_options:``.
 
-* The ``Snakefile`` has been modularised. Rules are now organised in the
-  ``rules`` directory.
+* The `Snakefile` has been modularised. Rules are now organised in the
+  `rules` directory.
 
-* Unified wildcard for transmission line expansion from ``{lv}`` and ``{ll}`` to
-  ``{ll}``.
+* Unified wildcard for transmission line expansion from `{lv}` and `{ll}` to
+  `{ll}`.
 
 * Renamed collection rules to distinguish between sector-coupled and
-  electricity-only runs: ``cluster_networks``, ``extra_components_networks``,
-  ``prepare_elec_networks``, ``prepare_sector_networks``,
-  ``solve_elec_networks``, ``solve_sector_networks``, ``plot_networks``,
-  ``all``.
+  electricity-only runs: `cluster_networks`, `extra_components_networks`,
+  `prepare_elec_networks`, `prepare_sector_networks`,
+  `solve_elec_networks`, `solve_sector_networks`, `plot_networks`,
+  `all`.
 
-* Some rules with a small computational footprint have been declared as ``localrules``.
+* Some rules with a small computational footprint have been declared as `localrules`.
 
-* Added new utility rules ``purge`` for clearing workflow outputs from the
-  directory, ``doc`` to build the documentation, and ``dag`` to create a
+* Added new utility rules `purge` for clearing workflow outputs from the
+  directory, `doc` to build the documentation, and `dag` to create a
   workflow graph.
 
-* The workflow can now be used with the ``snakemake --use-conda`` directive. In
+* The workflow can now be used with the `snakemake --use-conda` directive. In
   this way, Snakemake can automatically handle the installation of dependencies.
 
 * Data retrieval rules now retry download twice in case of connection problems.
 
-* The cutouts are now marked as ``protected()`` in the workflow to avoid
+* The cutouts are now marked as `protected()` in the workflow to avoid
   accidental recomputation.
 
-* The files contained in ``data/bundle`` are now marked as ``ancient()`` as they
+* The files contained in `data/bundle` are now marked as `ancient()` as they
   are not expected to be altered by workflow changes.
 
 * Preparation scripts for sector-coupled models have been improved to only run
   for the subset of selected countries rather than all European countries.
 
-* Added largely automated country code conversion using ``country_converter``..
+* Added largely automated country code conversion using `country_converter`..
 
 * Test coverage extended to an electricity-only run and sector-coupled runs for
   overnight and myopic foresight scenarios for Ubuntu, MacOS and Windows.
 
-* Apply ``black`` and ``snakefmt`` code formatting.
+* Apply `black` and `snakefmt` code formatting.
 
 * Implemented REUSE compatibility for merged code.
 
 * Merged documentations of PyPSA-Eur and PyPSA-Eur-Sec.
 
 * Added a tutorial for running sector-coupled models to the documentation
-  (:ref:`tutorial_sector`).
+  ([tutorial_sector](tutorial_sector.md)).
 
-* Deleted ``config.tutorial.yaml``, which is superseded by
-  ``test/config.electricity.yaml``.
+* Deleted `config.tutorial.yaml`, which is superseded by
+  `test/config.electricity.yaml`.
 
-* The ``mock_snakemake`` function now also takes configuration files as inputs.
+* The `mock_snakemake` function now also takes configuration files as inputs.
 
-* The helper scripts ``helper.py`` and ``_helpers.py`` have been merged into
-  ``_helpers.py``.
+* The helper scripts `helper.py` and `_helpers.py` have been merged into
+  `_helpers.py`.
 
-* The unused rule ``plot_p_nom_max`` has been removed.
+* The unused rule `plot_p_nom_max` has been removed.
 
-* The rule ``solve_network`` from PyPSA-Eur-Sec was renamed to
-  ``solve_sector_network``.
+* The rule `solve_network` from PyPSA-Eur-Sec was renamed to
+  `solve_sector_network`.
 
 * The plotting scripts from PyPSA-Eur (electricity-only) have been removed and
   are superseded by those from PyPSA-Eur-Sec (sector-coupled).
 
-PyPSA-Eur Releases (pre-merge)
-==============================
+## PyPSA-Eur Releases (pre-merge)
 
-PyPSA-Eur 0.7.0 (16th February 2023)
-------------------------------------
+### PyPSA-Eur 0.7.0 (16th February 2023)
 
 
 **New Features**
 
 * Carriers of generators can now be excluded from aggregation in clustering
-  network and simplify network (see ``exclude_carriers``).
+  network and simplify network (see `exclude_carriers`).
 
-* Added control for removing stubs in  :mod:`simplify_network` with options
-  ``remove_stubs`` and ``remove_stubs_across_countries``.
+* Added control for removing stubs in  [simplify_network][] with options
+  `remove_stubs` and `remove_stubs_across_countries`.
 
-* Add control for showing a progressbar in ``atlite`` processes
-  (``show_progress``). Disabling the progressbar saves a lot of time.
+* Add control for showing a progressbar in `atlite` processes
+  (`show_progress`). Disabling the progressbar saves a lot of time.
 
 * Added control for resolution of land eligibility analysis (see
-  ``excluder_resolution``).
+  `excluder_resolution`).
 
 
 **Breaking Changes**
 
-* The config entry ``snapshots: closed:`` was renamed to ``snapshots:
-  inclusive:`` to address the upstream deprecation with ``pandas=1.4``. The
-  previous setting ``None`` is no longer supported and replaced by ``both``, see
-  the `pandas documentation
-  <https://pandas.pydata.org/docs/reference/api/pandas.date_range.html>`__.
-  Minimum version is now ``pandas>=1.4``.
+* The config entry `snapshots: closed:` was renamed to ``snapshots:
+  inclusive:` to address the upstream deprecation with `pandas=1.4``. The
+  previous setting `None` is no longer supported and replaced by `both`, see
+  the [pandas documentation](https://pandas.pydata.org/docs/reference/api/pandas.date_range.html).
+  Minimum version is now `pandas>=1.4`.
 
-* The configuration setting ``summary_dir`` was removed.
+* The configuration setting `summary_dir` was removed.
 
 
 **Changes**
 
-* Configuration defaults to new ``technology-data`` version 0.5.0.
+* Configuration defaults to new `technology-data` version 0.5.0.
 
 * Fixed CRS warnings when projection of datasets was not specified.
 
@@ -2513,51 +2466,49 @@ PyPSA-Eur 0.7.0 (16th February 2023)
 
 * Updated documentation.
 
-* The documentation now uses the ``sphinx_book_theme``.
+* The documentation now uses the `sphinx_book_theme`.
 
 
 **Bugs and Compatibility**
 
 
-* Bugfix: Corrected extent of natural protection areas in :mod:`build_natura_raster`.
+* Bugfix: Corrected extent of natural protection areas in `build_natura_raster`.
 
 * Bugfix: Use correct load variables for formulating reserve constraints.
 
 * Bugfix: Use all available energy-to-power ratios for hydropower plants.
 
-* Bugfix: The most recent processing of the ``entsoegridkit`` extract required
+* Bugfix: The most recent processing of the `entsoegridkit` extract required
   further manual corrections. Also, the connection points of TYNDP links were
   corrected.
 
-* Bugfix: Handle absence of hydropower inflow in ``EQ`` constraint.
+* Bugfix: Handle absence of hydropower inflow in `EQ` constraint.
 
-* Compatibility with ``pyomo>=6.4.3`` in :mod:`cluster_network`.
+* Compatibility with `pyomo>=6.4.3` in [cluster_network][].
 
-* Upgrade to ``shapely>=2``.
+* Upgrade to `shapely>=2`.
 
 * Updated version of CI cache action to version 3.
 *
-* Updated dependency constraints in ``environment.yaml``.
+* Updated dependency constraints in `environment.yaml`.
 
 * Address various deprecation warnings.
 
 
 
-PyPSA-Eur 0.6.1 (20th September 2022)
--------------------------------------
+### PyPSA-Eur 0.6.1 (20th September 2022)
 
 * Individual commits are now tested against pre-commit hooks. This includes
   black style formatting, sorting of package imports, Snakefile formatting and
-  others. Installation instructions can for the pre-commit can be found `here
-  <https://pre-commit.com/>`__.
+  others. Installation instructions can for the pre-commit can be found [here](https://pre-commit.com/).
 
 * Pre-commit CI is now part of the repository's CI.
 
 * The software now supports running the workflow with different settings within
-  the same directory. A new config section ``run`` was created that specifies
-  under which scenario ``name`` the created resources, networks and results
-  should be stored. If ``name`` is not specified, the workflow uses the default
-  paths. The entry ``shared_cutouts`` specifies whether the run should use
+  the same directory. A new config section `run` was created that specifies
+  under which scenario `name` the created resources, networks and results
+  should be stored. If `name` is not specified, the workflow uses the default
+  paths. The entry `shared_cutouts` specifies whether the run should use
   cutouts from the default root directory or use run-specific cutouts.
 
 * The heuristic distribution of today's renewable capacity installations is now
@@ -2566,13 +2517,11 @@ PyPSA-Eur 0.6.1 (20th September 2022)
 * The marginal costs of conventional generators are now taking the plant-specific
   efficiency into account where available.
 
-PyPSA-Eur 0.6.0 (10th September 2022)
--------------------------------------
+### PyPSA-Eur 0.6.0 (10th September 2022)
 
 * Functionality to consider shipping routes when calculating the available area
   for offshore technologies were added. Data for the shipping density comes from
-  the `Global Shipping Traffic Density dataset
-  <https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density>`__.
+  the [Global Shipping Traffic Density dataset](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density).
 
 * When transforming all transmission lines to a unified voltage level of 380kV,
   the workflow now preserves the transmission capacity rather than electrical
@@ -2581,136 +2530,126 @@ PyPSA-Eur 0.6.0 (10th September 2022)
 * Memory resources are now specified for all rules.
 
 * Filtering of power plant data was adjusted to new versions of
-  ``powerplantmatching``.
+  `powerplantmatching`.
 
 * The resolution of land exclusion calculation is now a configurable option. See
-  setting ``excluder_resolution``.
+  setting `excluder_resolution`.
 
 
-PyPSA-Eur 0.5.0 (27th July 2022)
---------------------------------
+### PyPSA-Eur 0.5.0 (27th July 2022)
 
 **New Features**
 
 * New network topology extracted from the ENTSO-E interactive map.
 * Added existing renewable capacities for all countries based on IRENA
-  statistics (IRENASTAT) using new ``powerplantmatching`` version:
-* The corresponding ``config`` entries changed from ``estimate_renewable_capacities_from_capacity_stats`` to ``estimate_renewable_capacities``.
-* The estimation is endabled by setting the subkey ``enable`` to ``True``.
-* Configuration of reference year for capacities can be configured (default: ``2020``)
-* The list of renewables provided by the OPSD database can be used as a basis, using the tag ``from_opsd: True``. This adds the renewables from the database and fills up the missing capacities with the heuristic distribution.
+  statistics (IRENASTAT) using new `powerplantmatching` version:
+* The corresponding `config` entries changed from `estimate_renewable_capacities_from_capacity_stats` to `estimate_renewable_capacities`.
+* The estimation is endabled by setting the subkey `enable` to `True`.
+* Configuration of reference year for capacities can be configured (default: `2020`)
+* The list of renewables provided by the OPSD database can be used as a basis, using the tag `from_opsd: True`. This adds the renewables from the database and fills up the missing capacities with the heuristic distribution.
 * Uniform expansion limit of renewable build-up based on existing capacities
-  can be configured using ``expansion_limit`` option (default: ``false``;
+  can be configured using `expansion_limit` option (default: `false`;
   limited to determined renewable potentials)
 * Distribution of country-level capacities proportional to maximum annual
   energy yield for each bus region
-* The config key ``renewable_capacities_from_OPSD`` is deprecated and was moved
-  under the section, ``estimate_renewable_capacities``. To enable it, set
-  ``from_opsd`` to ``True``.
+* The config key `renewable_capacities_from_OPSD` is deprecated and was moved
+  under the section, `estimate_renewable_capacities`. To enable it, set
+  `from_opsd` to `True`.
 
-* Add operational reserve margin constraint analogous to `GenX implementation
-  <https://genxproject.github.io/GenX/dev/core/#Reserves>`__. Can be activated
-  with config setting ``electricity: operational_reserve:``.
+* Add operational reserve margin constraint analogous to [GenX implementation](https://genxproject.github.io/GenX/dev/core/#Reserves). Can be activated
+  with config setting `electricity: operational_reserve:`.
 
 * Implement country-specific  Energy Availability Factors (EAFs) for nuclear
   power plants based on IAEA 2018-2020 reported country averages. These are
-  specified ``data/nuclear_p_max_pu.csv`` and translate to static ``p_max_pu``
+  specified `data/nuclear_p_max_pu.csv` and translate to static `p_max_pu`
   values.
 
-* Add function to add global constraint on use of gas in :mod:`prepare_network`.
-  This can be activated by including the keyword ``CH4L`` in the ``{opts}``
-  wildcard which enforces the limit set in ``electricity: gaslimit:`` given in
-  MWh thermal. Alternatively, it is possible to append a number in the ``{opts}``
-  wildcard, e.g. ``CH4L200`` which limits the gas use to 200 TWh thermal.
+* Add function to add global constraint on use of gas in [prepare_network][].
+  This can be activated by including the keyword `CH4L` in the `{opts}`
+  wildcard which enforces the limit set in `electricity: gaslimit:` given in
+  MWh thermal. Alternatively, it is possible to append a number in the `{opts}`
+  wildcard, e.g. `CH4L200` which limits the gas use to 200 TWh thermal.
 
-* Add option to alter marginal costs of a carrier through ``{opts}`` wildcard:
-  ``<carrier>+m<factor>``, e.g. ``gas+m2.5``, will multiply the default marginal
+* Add option to alter marginal costs of a carrier through `{opts}` wildcard:
+  `<carrier>+m<factor>`, e.g. `gas+m2.5`, will multiply the default marginal
   cost for gas by factor 2.5.
 
 * Hierarchical clustering was introduced. Distance metric is calculated from
-  renewable potentials on hourly (feature entry ends with ``-time``) or annual
-  (feature entry in config end with ``-cap``) values.
+  renewable potentials on hourly (feature entry ends with `-time`) or annual
+  (feature entry in config end with `-cap`) values.
 
 * Greedy modularity clustering was introduced. Distance metric is based on electrical distance taking into account the impedance of all transmission lines of the network.
 
 * Techno-economic parameters of technologies (e.g. costs and efficiencies) will
-  now be retrieved from a separate repository `PyPSA/technology-data
-  <https://github.com/pypsa/technology-data>`__ that collects assumptions from a
+  now be retrieved from a separate repository [PyPSA/technology-data](https://github.com/pypsa/technology-data) that collects assumptions from a
   variety of sources. It is activated by default with ``enable:
-  retrieve_cost_data: true`` and controlled with ``costs: year:`` and ``costs:
-  version:``. The location of this data changed from ``data/costs.csv`` to
-  ``resources/costs.csv`` [`#184
-  <https://github.com/PyPSA/pypsa-eur/pull/184>`__].
+  retrieve_cost_data: true` and controlled with `costs: year:` and `costs:
+  version:`. The location of this data changed from `data/costs.csv`` to
+  `resources/costs.csv` [[#184](https://github.com/PyPSA/pypsa-eur/pull/184)].
 
-* A new section ``conventional`` was added to the config file. This section
+* A new section `conventional` was added to the config file. This section
   contains configurations for conventional carriers.
 
 * Add configuration option to implement arbitrary generator attributes for
   conventional generation technologies.
 
-* Add option to set CO2 emission prices through ``{opts}`` wildcard: ``Ep<number>``,
-  e.g. ``Ep180``, will set the EUR/tCO2 price.
+* Add option to set CO2 emission prices through `{opts}` wildcard: `Ep<number>`,
+  e.g. `Ep180`, will set the EUR/tCO2 price.
 
 **Changes**
 
 * Add an efficiency factor of 88.55% to offshore wind capacity factors as a
-  proxy for wake losses. More rigorous modelling is `planned
-  <https://github.com/PyPSA/pypsa-eur/issues/153>`__ [`#277
-  <https://github.com/PyPSA/pypsa-eur/pull/277>`__].
+  proxy for wake losses. More rigorous modelling is [planned](https://github.com/PyPSA/pypsa-eur/issues/153) [[#277](https://github.com/PyPSA/pypsa-eur/pull/277)].
 
-* Following discussion in `#285
-  <https://github.com/PyPSA/pypsa-eur/issues/285>`__ we have disabled the
+* Following discussion in [#285](https://github.com/PyPSA/pypsa-eur/issues/285) we have disabled the
   correction factor for solar PV capacity factors by default while satellite
   data is used. A correction factor of 0.854337 is recommended if reanalysis
   data like ERA5 is used.
 
 * The default deployment density of AC- and DC-connected offshore wind capacity
-  is reduced from 3 MW/sqkm to a more conservative estimate of 2 MW/sqkm [`#280
-  <https://github.com/PyPSA/pypsa-eur/pull/280>`__].
+  is reduced from 3 MW/sqkm to a more conservative estimate of 2 MW/sqkm [[#280](https://github.com/PyPSA/pypsa-eur/pull/280)].
 
 * The inclusion of renewable carriers is now specified in the config entry
-  ``renewable_carriers``. Before this was done by commenting/uncommenting
-  sub-sections in the ``renewable`` config section.
+  `renewable_carriers`. Before this was done by commenting/uncommenting
+  sub-sections in the `renewable` config section.
 
 * Now, all carriers that should be extendable have to be listed in the config
-  entry ``extendable_carriers``. Before, renewable carriers were always set to
+  entry `extendable_carriers`. Before, renewable carriers were always set to
   be extendable. For backwards compatibility, the workflow is still looking at
-  the listed carriers under the ``renewable`` key. In the future, all of them
-  have to be listed under ``extendable_carriers``.
+  the listed carriers under the `renewable` key. In the future, all of them
+  have to be listed under `extendable_carriers`.
 
 * It is now possible to set conventional power plants as extendable by adding
-  them to the list of extendable ``Generator`` carriers in the config.
+  them to the list of extendable `Generator` carriers in the config.
 
-* Listing conventional carriers in ``extendable_carriers`` but not in
-  ``conventional_carriers``, sets the corresponding conventional power plants as
+* Listing conventional carriers in `extendable_carriers` but not in
+  `conventional_carriers`, sets the corresponding conventional power plants as
   extendable without a lower capacity bound of today's capacities.
 
 * Now, conventional carriers have an assigned capital cost by default.
 
-* The ``build_year`` and ``lifetime`` column are now defined for conventional
+* The `build_year` and `lifetime` column are now defined for conventional
   power plants.
 
 * Use updated SARAH-2 and ERA5 cutouts with slightly wider scope to east and
   additional variables.
 
-* Resource definitions for memory usage now follow `Snakemake standard resource
-  definition
-  <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#standard-resources>`__
-  ``mem_mb`` rather than ``mem``.
+* Resource definitions for memory usage now follow [Snakemake standard resource definition](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#standard-resources)
+  `mem_mb` rather than `mem`.
 
 * The powerplants that have been shut down by 2021 are filtered out.
 
-* Updated historical `EIA hydro generation data <https://www.eia.gov/international/data/world>`__.
+* Updated historical [EIA hydro generation data](https://www.eia.gov/international/data/world).
 
 * Network building is made deterministic by supplying a fixed random state to
   network clustering routines.
 
-* Clustering strategies for generator and bus attributes can now be specified directly in the ``config/config.yaml``.
+* Clustering strategies for generator and bus attributes can now be specified directly in the `config/config.yaml`.
 
 * Iterative solving with impedance updates is skipped if there are no expandable
   lines.
 
-* The unused argument ``simple_hvdc_costs`` in :mod:`add_electricity` was
+* The unused argument `simple_hvdc_costs` in [add_electricity][] was
   removed.
 
 * Switch from Germany to Belgium for continuous integration and tutorial to save
@@ -2722,7 +2661,7 @@ PyPSA-Eur 0.5.0 (27th July 2022)
 
 * Fix crs bug. Change crs 4236 to 4326.
 
-* ``powerplantmatching>=0.5.1`` is now required for ``IRENASTATS``.
+* `powerplantmatching>=0.5.1` is now required for `IRENASTATS`.
 
 * Update rasterio version to correctly calculate exclusion raster.
 
@@ -2732,339 +2671,331 @@ PyPSA-Eur 0.5.0 (27th July 2022)
 
 * Enable parallel computing with new dask version.
 
-* Restore compatibility of ``mock_snakemake`` with latest Snakemake versions.
+* Restore compatibility of `mock_snakemake` with latest Snakemake versions.
 
-* Script ``build_bus_regions``: move voronoi partition from vresutils to script.
+* Script `build_bus_regions`: move voronoi partition from vresutils to script.
 
-* Script ``add_electricity``: remove ``vresutils.costdata.annuity`` dependency.
+* Script `add_electricity`: remove `vresutils.costdata.annuity` dependency.
 
 * Fix the plot_network snakemake rule.
 
 * Compatibility with pandas 1.4. Address deprecations.
 
-* Restore Windows compatibility by using ``shutil.move`` rather than ``mv``.
+* Restore Windows compatibility by using `shutil.move` rather than `mv`.
 
 
-Synchronisation Release - Ukraine and Moldova (17th March 2022)
----------------------------------------------------------------
+### Synchronisation Release - Ukraine and Moldova (17th March 2022)
 
 On March 16, 2022, the transmission networks of Ukraine and Moldova have
-successfully been `synchronised with the continental European grid <https://www.entsoe.eu/news/2022/03/16/continental-europe-successful-synchronisation-with-ukraine-and-moldova-power-systems/>`__. We have taken
+successfully been [synchronised with the continental European grid](https://www.entsoe.eu/news/2022/03/16/continental-europe-successful-synchronisation-with-ukraine-and-moldova-power-systems/). We have taken
 this as an opportunity to add the power systems of Ukraine and Moldova to
 PyPSA-Eur. This includes:
 
-.. image:: img/synchronisation.png
-  :width: 500
+![](img/synchronisation.png){width=500}
 
-* the transmission network topology from the `ENTSO-E interactive map <https://www.entsoe.eu/data/map/>`__.
+* the transmission network topology from the [ENTSO-E interactive map](https://www.entsoe.eu/data/map/).
 
-* existing power plants (incl. nuclear, coal, gas and hydro) from the `powerplantmatching <https://github.com/fresna/powerplantmatching>`__ tool
+* existing power plants (incl. nuclear, coal, gas and hydro) from the [powerplantmatching](https://github.com/fresna/powerplantmatching) tool
 
-* country-level load time series from ENTSO-E through the `OPSD platform <https://data.open-power-system-data.org/time_series/2020-10-06>`__, which are then distributed heuristically to substations by GDP and population density.
+* country-level load time series from ENTSO-E through the [OPSD platform](https://data.open-power-system-data.org/time_series/2020-10-06), which are then distributed heuristically to substations by GDP and population density.
 
 * wind and solar profiles based on ERA5 and SARAH-2 weather data
 
-* hydro profiles based on historical `EIA generation data <https://www.eia.gov/international/data/world>`__
+* hydro profiles based on historical [EIA generation data](https://www.eia.gov/international/data/world)
 
-* a simplified calculation of wind and solar potentials based on the `Copernicus Land Cover dataset <https://land.copernicus.eu/global/products/lc>`__.
+* a simplified calculation of wind and solar potentials based on the [Copernicus Land Cover dataset](https://land.copernicus.eu/global/products/lc).
 
 * electrical characteristics of 750 kV transmission lines
 
 The Crimean power system is currently disconnected from the main Ukrainian grid and, hence, not included.
 
-This release is not on the ``master`` branch. It can be used with
-
-.. code-block:: bash
+This release is not on the `master` branch. It can be used with
 
-  git clone https://github.com/pypsa/pypsa-eur
-  git checkout synchronisation-release
+```bash
+git clone https://github.com/pypsa/pypsa-eur
+git checkout synchronisation-release
+```
 
 
-PyPSA-Eur 0.4.0 (22th September 2021)
--------------------------------------
+### PyPSA-Eur 0.4.0 (22th September 2021)
 
 **New Features and Changes**
 
 * With this release, we change the license from copyleft GPLv3 to the more
   liberal MIT license with the consent of all contributors
-  [`#276 <https://github.com/PyPSA/pypsa-eur/pull/276>`__].
+  [[#276](https://github.com/PyPSA/pypsa-eur/pull/276)].
 
-* Switch to the new major ``atlite`` release v0.2.  The version upgrade comes
-  along with significant speed up for the rule ``build_renewable_profiles.py``
+* Switch to the new major `atlite` release v0.2.  The version upgrade comes
+  along with significant speed up for the rule `build_renewable_profiles.py`
   (~factor 2). A lot of the code which calculated the land-use availability is now
-  outsourced and does not rely on ``glaes``, ``geokit`` anymore. This facilitates
-  the environment building and version compatibility of ``gdal``, ``libgdal`` with
-  other packages [`#224 <https://github.com/PyPSA/pypsa-eur/pull/224>`__].
+  outsourced and does not rely on `glaes`, `geokit` anymore. This facilitates
+  the environment building and version compatibility of `gdal`, `libgdal` with
+  other packages [[#224](https://github.com/PyPSA/pypsa-eur/pull/224)].
 
-* Implemented changes to ``n.snapshot_weightings`` in new PyPSA version v0.18
-  (cf. `PyPSA/PyPSA/#227 <https://github.com/PyPSA/PyPSA/pull/227>`__)
-  [`#259 <https://github.com/PyPSA/pypsa-eur/pull/259>`__].
+* Implemented changes to `n.snapshot_weightings` in new PyPSA version v0.18
+  (cf. [PyPSA/PyPSA/#227](https://github.com/PyPSA/PyPSA/pull/227))
+  [[#259](https://github.com/PyPSA/pypsa-eur/pull/259)].
 
 * Add option to pre-aggregate nodes without power injections (positive or
   negative, i.e. generation or demand) to electrically closest nodes or neighbors
-  in ``simplify_network``. Defaults to ``False``. This affects nodes that are no
+  in `simplify_network`. Defaults to `False`. This affects nodes that are no
   substations or have no offshore connection.
 
-* In :mod:`simplify_network`, bus columns with no longer correct entries are
+* In [simplify_network][], bus columns with no longer correct entries are
   removed (symbol, tags, under_construction, substation_lv, substation_off)
-  [`#219 <https://github.com/PyPSA/pypsa-eur/pull/219>`__]
+  [[#219](https://github.com/PyPSA/pypsa-eur/pull/219)]
 
 * Add option to include marginal costs of links representing fuel cells,
   electrolysis, and battery inverters
-  [`#232 <https://github.com/PyPSA/pypsa-eur/pull/232>`__].
+  [[#232](https://github.com/PyPSA/pypsa-eur/pull/232)].
 
-* The rule and script ``build_country_flh`` are removed as they are no longer
+* The rule and script `build_country_flh` are removed as they are no longer
   used or maintained.
 
-* The connection cost of generators in :mod:`simplify_network` are now reported
-  in ``resources/connection_costs_s{simpl}.csv``
-  [`#261 <https://github.com/PyPSA/pypsa-eur/pull/261>`__].
+* The connection cost of generators in [simplify_network][] are now reported
+  in `resources/connection_costs_s{simpl}.csv`
+  [[#261](https://github.com/PyPSA/pypsa-eur/pull/261)].
 
-* The tutorial cutout was renamed from ``cutouts/europe-2013-era5.nc`` to
-  ``cutouts/be-03-2013-era5.nc`` to accommodate tutorial and productive
+* The tutorial cutout was renamed from `cutouts/europe-2013-era5.nc` to
+  `cutouts/be-03-2013-era5.nc` to accommodate tutorial and productive
   cutouts side-by-side.
 
-* The flag ``keep_all_available_areas`` in the configuration for renewable
-  potentials was deprecated and now defaults to ``True``.
+* The flag `keep_all_available_areas` in the configuration for renewable
+  potentials was deprecated and now defaults to `True`.
 
-* Update dependencies in ``envs/environment.yaml``
-  [`#257 <https://github.com/PyPSA/pypsa-eur/pull/257>`__]
+* Update dependencies in `envs/environment.yaml`
+  [[#257](https://github.com/PyPSA/pypsa-eur/pull/257)]
 
 * Continuous integration testing switches to Github Actions from Travis CI
-  [`#252 <https://github.com/PyPSA/pypsa-eur/pull/252>`__].
+  [[#252](https://github.com/PyPSA/pypsa-eur/pull/252)].
 
-* Documentation on readthedocs.io is now built with ``pip`` only and no longer
-  requires ``conda`` [`#267 <https://github.com/PyPSA/pypsa-eur/pull/267>`__].
+* Documentation on readthedocs.io is now built with `pip` only and no longer
+  requires `conda` [[#267](https://github.com/PyPSA/pypsa-eur/pull/267)].
 
-* Use ``Citation.cff`` [`#273 <https://github.com/PyPSA/pypsa-eur/pull/273>`__].
+* Use `Citation.cff` [[#273](https://github.com/PyPSA/pypsa-eur/pull/273)].
 
 **Bugs and Compatibility**
 
 
-* Support for PyPSA v0.18 [`#268 <https://github.com/PyPSA/pypsa-eur/pull/268>`__].
+* Support for PyPSA v0.18 [[#268](https://github.com/PyPSA/pypsa-eur/pull/268)].
 
-* Minimum Python version set to ``3.8``.
+* Minimum Python version set to `3.8`.
 
-* Removed ``six`` dependency [`#245 <https://github.com/PyPSA/pypsa-eur/pull/245>`__].
+* Removed `six` dependency [[#245](https://github.com/PyPSA/pypsa-eur/pull/245)].
 
-* Update :mod:`plot_network` and :mod:`make_summary` rules to latest PyPSA
-  versions  [`#270 <https://github.com/PyPSA/pypsa-eur/pull/270>`__].
+* Update `plot_network` and [make_summary][] rules to latest PyPSA
+  versions  [[#270](https://github.com/PyPSA/pypsa-eur/pull/270)].
 
-* Keep converter links to store components when using the ``ATK``
-  wildcard and only remove DC links [`#214 <https://github.com/PyPSA/pypsa-eur/pull/214>`__].
+* Keep converter links to store components when using the `ATK`
+  wildcard and only remove DC links [[#214](https://github.com/PyPSA/pypsa-eur/pull/214)].
 
-* Value for ``co2base`` in ``config.yaml`` adjusted to 1.487e9 t CO2-eq
+* Value for `co2base` in `config.yaml` adjusted to 1.487e9 t CO2-eq
   (from 3.1e9 t CO2-eq). The new value represents emissions related to the
   electricity sector for EU+UK+Balkan. The old value was too high and used when
-  the emissions wildcard in ``{opts}`` was used
-  [`#233 <https://github.com/PyPSA/pypsa-eur/pull/233>`__].
+  the emissions wildcard in `{opts}` was used
+  [[#233](https://github.com/PyPSA/pypsa-eur/pull/233)].
 
-* Add escape in :mod:`base_network` if all TYNDP links are already
+* Add escape in [base_network][] if all TYNDP links are already
   contained in the network
-  [`#246 <https://github.com/PyPSA/pypsa-eur/pull/246>`__].
+  [[#246](https://github.com/PyPSA/pypsa-eur/pull/246)].
 
-* In :mod:`solve_operations_network` the optimised capacities are now
+* In [solve_operations_network][] the optimised capacities are now
   fixed for all extendable links, not only HVDC links
-  [`#244 <https://github.com/PyPSA/pypsa-eur/pull/244>`__].
+  [[#244](https://github.com/PyPSA/pypsa-eur/pull/244)].
 
-* The ``focus_weights`` are now also considered when pre-clustering in
-  the :mod:`simplify_network` rule
-  [`#241 <https://github.com/PyPSA/pypsa-eur/pull/241>`__].
+* The `focus_weights` are now also considered when pre-clustering in
+  the [simplify_network][] rule
+  [[#241](https://github.com/PyPSA/pypsa-eur/pull/241)].
 
-* in :mod:`build_renewable_profile` where offshore wind profiles could
-  no longer be created [`#249 <https://github.com/PyPSA/pypsa-eur/pull/249>`__].
+* in `build_renewable_profile` where offshore wind profiles could
+  no longer be created [[#249](https://github.com/PyPSA/pypsa-eur/pull/249)].
 
 * Lower expansion limit of extendable carriers is now set to the
-  existing capacity, i.e. ``p_nom_min = p_nom`` (0 before). Simultaneously, the
-  upper limit (``p_nom_max``) is now the maximum of the installed capacity
-  (``p_nom``) and the previous estimate based on land availability (``p_nom_max``)
-  [`#260 <https://github.com/PyPSA/pypsa-eur/pull/260>`__].
+  existing capacity, i.e. `p_nom_min = p_nom` (0 before). Simultaneously, the
+  upper limit (`p_nom_max`) is now the maximum of the installed capacity
+  (`p_nom`) and the previous estimate based on land availability (`p_nom_max`)
+  [[#260](https://github.com/PyPSA/pypsa-eur/pull/260)].
 
 * Solving an operations network now includes optimized store capacities
   as well. Before only lines, links, generators and storage units were considered
-  [`#269 <https://github.com/PyPSA/pypsa-eur/pull/269>`__].
+  [[#269](https://github.com/PyPSA/pypsa-eur/pull/269)].
 
-* With ``load_shedding: true`` in the solving options of ``config.yaml``
+* With `load_shedding: true` in the solving options of `config.yaml`
   load shedding generators are only added at the AC buses, excluding buses for H2
-  and battery stores [`#269 <https://github.com/PyPSA/pypsa-eur/pull/269>`__].
+  and battery stores [[#269](https://github.com/PyPSA/pypsa-eur/pull/269)].
 
 * Delete duplicated capital costs at battery discharge link
-  [`#240 <https://github.com/PyPSA/pypsa-eur/pull/240>`__].
+  [[#240](https://github.com/PyPSA/pypsa-eur/pull/240)].
 
 * Propagate the solver log file name to the solver. Previously, the
   PyPSA network solving functions were not told about the solver logfile specified
-  in the Snakemake file [`#247 <https://github.com/PyPSA/pypsa-eur/pull/247>`__]
+  in the Snakemake file [[#247](https://github.com/PyPSA/pypsa-eur/pull/247)]
 
-PyPSA-Eur 0.3.0 (7th December 2020)
------------------------------------
+### PyPSA-Eur 0.3.0 (7th December 2020)
 
 **New Features**
 
-Using the ``{opts}`` wildcard for scenario:
+Using the `{opts}` wildcard for scenario:
 
 * An option is introduced which adds constraints such that each country or node produces on average a minimal share of its total consumption itself.
-  For example ``EQ0.5c`` set in the ``{opts}`` wildcard requires each country to produce on average at least 50% of its consumption. Additionally,
-  the option ``ATK`` requires autarky at each node and removes all means of power transmission through lines and links. ``ATKc`` only removes
+  For example `EQ0.5c` set in the `{opts}` wildcard requires each country to produce on average at least 50% of its consumption. Additionally,
+  the option `ATK` requires autarky at each node and removes all means of power transmission through lines and links. `ATKc` only removes
   cross-border transfer capacities.
-  [`#166 <https://github.com/PyPSA/pypsa-eur/pull/166>`__].
+  [[#166](https://github.com/PyPSA/pypsa-eur/pull/166)].
 
-* Added an option to alter the capital cost (``c``) or installable potentials (``p``) of carriers by a factor via ``carrier+{c,p}factor`` in the ``{opts}`` wildcard.
+* Added an option to alter the capital cost (`c`) or installable potentials (`p`) of carriers by a factor via `carrier+{c,p}factor` in the `{opts}` wildcard.
   This can be useful for exploring uncertain cost parameters.
-  Example: ``solar+c0.5`` reduces the capital cost of solar to 50% of original values
-  [`#167 <https://github.com/PyPSA/pypsa-eur/pull/167>`__, `#207 <https://github.com/PyPSA/pypsa-eur/pull/207>`__].
+  Example: `solar+c0.5` reduces the capital cost of solar to 50% of original values
+  [[#167](https://github.com/PyPSA/pypsa-eur/pull/167), [#207](https://github.com/PyPSA/pypsa-eur/pull/207)].
 
-* Added an option to the ``{opts}`` wildcard that applies a time series segmentation algorithm based on renewables, hydro inflow and load time series
+* Added an option to the `{opts}` wildcard that applies a time series segmentation algorithm based on renewables, hydro inflow and load time series
   to produce a given total number of adjacent snapshots of varying lengths.
   This feature is an alternative to downsampling the temporal resolution by simply averaging and
-  uses the `tsam <https://tsam.readthedocs.io/en/latest/index.html>`__ package
-  [`#186 <https://github.com/PyPSA/pypsa-eur/pull/186>`__].
+  uses the [tsam](https://tsam.readthedocs.io/en/latest/index.html) package
+  [[#186](https://github.com/PyPSA/pypsa-eur/pull/186)].
 
 
 More OPSD integration:
 
-* Add renewable power plants from `OPSD <https://data.open-power-system-data.org/renewable_power_plants/2020-08-25>`__ to the network for specified technologies.
+* Add renewable power plants from [OPSD](https://data.open-power-system-data.org/renewable_power_plants/2020-08-25) to the network for specified technologies.
   This will overwrite the capacities calculated from the heuristic approach in :func:`estimate_renewable_capacities()`
-  [`#212 <https://github.com/PyPSA/pypsa-eur/pull/212>`__].
+  [[#212](https://github.com/PyPSA/pypsa-eur/pull/212)].
 
-* Electricity consumption data is now retrieved directly from the `OPSD website <https://data.open-power-system-data.org/time_series/2019-06-05>`__ using the rule :mod:`build_electricity_demand`.
+* Electricity consumption data is now retrieved directly from the [OPSD website](https://data.open-power-system-data.org/time_series/2019-06-05) using the rule [build_electricity_demand][].
   The user can decide whether to take the ENTSO-E power statistics data (default) or the ENTSO-E transparency data
-  [`#211 <https://github.com/PyPSA/pypsa-eur/pull/211>`__].
+  [[#211](https://github.com/PyPSA/pypsa-eur/pull/211)].
 
 Other:
 
-* Added an option to use custom busmaps in rule :mod:`cluster_network`. To use this feature set ``enable: custom_busmap: true``.
-  Then, the rule looks for custom busmaps at ``data/custom_busmap_elec_s{simpl}_{clusters}.csv``,
-  which should have the same format as ``resources/busmap_elec_s{simpl}_{clusters}.csv``.
-  i.e. the index should contain the buses of ``networks/elec_s{simpl}.nc``
-  [`#193 <https://github.com/PyPSA/pypsa-eur/pull/193>`__].
+* Added an option to use custom busmaps in rule [cluster_network][]. To use this feature set `enable: custom_busmap: true`.
+  Then, the rule looks for custom busmaps at `data/custom_busmap_elec_s{simpl}_{clusters}.csv`,
+  which should have the same format as `resources/busmap_elec_s{simpl}_{clusters}.csv`.
+  i.e. the index should contain the buses of `networks/elec_s{simpl}.nc`
+  [[#193](https://github.com/PyPSA/pypsa-eur/pull/193)].
 
-* Line and link capacities can be capped in the ``config.yaml`` at ``lines: s_nom_max:`` and ``links: p_nom_max``:
-  [`#166 <https://github.com/PyPSA/pypsa-eur/pull/166>`__].
+* Line and link capacities can be capped in the `config.yaml` at `lines: s_nom_max:` and `links: p_nom_max`:
+  [[#166](https://github.com/PyPSA/pypsa-eur/pull/166)].
 
 * Added Google Cloud Platform tutorial (for Windows users)
-  [`#177 <https://github.com/PyPSA/pypsa-eur/pull/177>`__].
+  [[#177](https://github.com/PyPSA/pypsa-eur/pull/177)].
 
 **Changes**
 
-* Don't remove capital costs from lines and links, when imposing a line volume limit (``lv``) or a line cost limit (``lc``).
+* Don't remove capital costs from lines and links, when imposing a line volume limit (`lv`) or a line cost limit (`lc`).
   Previously, these were removed to move the expansion in direction of the limit
-  [`#183 <https://github.com/PyPSA/pypsa-eur/pull/183>`__].
+  [[#183](https://github.com/PyPSA/pypsa-eur/pull/183)].
 
-* The mappings for clustered lines and buses produced by the :mod:`simplify_network` and :mod:`cluster_network` rules
-  changed from Hierarchical Data Format (``.h5``) to Comma-Separated Values format (``.csv``) for ease of use.
-  [`#198 <https://github.com/PyPSA/pypsa-eur/pull/198>`__]
+* The mappings for clustered lines and buses produced by the [simplify_network][] and [cluster_network][] rules
+  changed from Hierarchical Data Format (`.h5`) to Comma-Separated Values format (`.csv`) for ease of use.
+  [[#198](https://github.com/PyPSA/pypsa-eur/pull/198)]
 
-* The N-1 security margin for transmission lines is now fixed to a provided value in ``config.yaml``,
+* The N-1 security margin for transmission lines is now fixed to a provided value in `config.yaml`,
   removing an undocumented linear interpolation between 0.5 and 0.7 in the range between 37 and 200 nodes.
-  [`#199 <https://github.com/PyPSA/pypsa-eur/pull/199>`__].
+  [[#199](https://github.com/PyPSA/pypsa-eur/pull/199)].
 
 * Modelling hydrogen and battery storage with Store and Link components is now the default,
   rather than using StorageUnit components with fixed power-to-energy ratio
-  [`#205 <https://github.com/PyPSA/pypsa-eur/pull/205>`__].
+  [[#205](https://github.com/PyPSA/pypsa-eur/pull/205)].
 
-* Use ``mamba`` (https://github.com/mamba-org/mamba) for faster Travis CI builds
-  [`#196 <https://github.com/PyPSA/pypsa-eur/pull/196>`__].
+* Use `mamba` (https://github.com/mamba-org/mamba) for faster Travis CI builds
+  [[#196](https://github.com/PyPSA/pypsa-eur/pull/196)].
 
-* Multiple smaller changes: Removed unused ``{network}`` wildcard, moved environment files to dedicated ``envs`` folder,
+* Multiple smaller changes: Removed unused `{network}` wildcard, moved environment files to dedicated `envs` folder,
   removed sector-coupling components from configuration files, updated documentation colors, minor refactoring and code cleaning
-  [`#190 <https://github.com/PyPSA/pypsa-eur/pull 190>`__].
+  [[#190](https://github.com/PyPSA/pypsa-eur/pull 190)].
 
 **Bugs and Compatibility**
 
-* Add compatibility for pyomo 5.7.0 in :mod:`cluster_network` and :mod:`simplify_network`
-  [`#172 <https://github.com/PyPSA/pypsa-eur/pull/172>`__].
+* Add compatibility for pyomo 5.7.0 in [cluster_network][] and [simplify_network][]
+  [[#172](https://github.com/PyPSA/pypsa-eur/pull/172)].
 
 * Fixed a bug for storage units such that individual store and dispatch efficiencies are correctly taken account of rather than only their round-trip efficiencies.
-  In the cost database (``data/costs.csv``) the efficiency of battery inverters should be stated as per discharge/charge rather than per roundtrip
-  [`#202 <https://github.com/PyPSA/pypsa-eur/pull/202>`__].
+  In the cost database (`data/costs.csv`) the efficiency of battery inverters should be stated as per discharge/charge rather than per roundtrip
+  [[#202](https://github.com/PyPSA/pypsa-eur/pull/202)].
 
-* Corrected exogenous emission price setting (in ``config: cost: emission price:``),
+* Corrected exogenous emission price setting (in `config: cost: emission price:`),
   which now correctly accounts for the efficiency and effective emission of the generators
-  [`#171 <https://github.com/PyPSA/pypsa-eur/pull/171>`__].
+  [[#171](https://github.com/PyPSA/pypsa-eur/pull/171)].
 
 * Corrected HVDC link connections (a) between Norway and Denmark and (b) mainland Italy, Corsica (FR) and Sardinia (IT)
   as well as for East-Western and Anglo-Scottish interconnectors
-  [`#181 <https://github.com/PyPSA/pypsa-eur/pull/181>`__, `#206 <https://github.com/PyPSA/pypsa-eur/pull/206>`__].
+  [[#181](https://github.com/PyPSA/pypsa-eur/pull/181), [#206](https://github.com/PyPSA/pypsa-eur/pull/206)].
 
-* Fix bug of clustering ``offwind-{ac,dc}`` generators in the option of high-resolution generators for renewables.
-  Now, there are more sites for ``offwind-{ac,dc}`` available than network nodes.
-  Before, they were clustered to the resolution of the network (``elec_s1024_37m.nc``: 37 network nodes, 1024 generators)
-  [`#191 <https://github.com/PyPSA/pypsa-eur/pull/191>`__].
+* Fix bug of clustering `offwind-{ac,dc}` generators in the option of high-resolution generators for renewables.
+  Now, there are more sites for `offwind-{ac,dc}` available than network nodes.
+  Before, they were clustered to the resolution of the network (`elec_s1024_37m.nc`: 37 network nodes, 1024 generators)
+  [[#191](https://github.com/PyPSA/pypsa-eur/pull/191)].
 
-* Raise a warning if ``tech_colors`` in the config are not defined for all carriers
-  [`#178 <https://github.com/PyPSA/pypsa-eur/pull/178>`__].
+* Raise a warning if `tech_colors` in the config are not defined for all carriers
+  [[#178](https://github.com/PyPSA/pypsa-eur/pull/178)].
 
 
-PyPSA-Eur 0.2.0 (8th June 2020)
--------------------------------
+### PyPSA-Eur 0.2.0 (8th June 2020)
 
-* The optimization is now performed using the ``pyomo=False`` setting in the :func:`pypsa.lopf.network_lopf`. This speeds up the solving process significantly and consumes much less memory. The inclusion of additional constraints were adjusted to the new implementation. They are all passed to the :func:`network_lopf` function via the ``extra_functionality`` argument. The rule ``trace_solve_network`` was integrated into the rule :mod:`solve_network` and can be activated via configuration with ``solving: options: track_iterations: true``. The charging and discharging capacities of batteries modelled as store-link combination are now coupled [`#116 <https://github.com/PyPSA/pypsa-eur/pull/116>`__].
+* The optimization is now performed using the `pyomo=False` setting in the :func:`pypsa.lopf.network_lopf`. This speeds up the solving process significantly and consumes much less memory. The inclusion of additional constraints were adjusted to the new implementation. They are all passed to the :func:`network_lopf` function via the `extra_functionality` argument. The rule `trace_solve_network` was integrated into the rule [solve_network][] and can be activated via configuration with `solving: options: track_iterations: true`. The charging and discharging capacities of batteries modelled as store-link combination are now coupled [[#116](https://github.com/PyPSA/pypsa-eur/pull/116)].
 
-* An updated extract of the `ENTSO-E Transmission System Map <https://www.entsoe.eu/data/map/>`__ (including Malta) was added to the repository using the `GridKit <https://github.com/PyPSA/GridKit>`__ tool. This tool has been updated to retrieve up-to-date map extracts using a single `script <https://github.com/PyPSA/GridKit/blob/master/entsoe/runall_in_docker.sh>`__. The update extract features 5322 buses, 6574 lines, 46 links. [`#118 <https://github.com/PyPSA/pypsa-eur/pull/118>`__].
+* An updated extract of the [ENTSO-E Transmission System Map](https://www.entsoe.eu/data/map/) (including Malta) was added to the repository using the [GridKit](https://github.com/PyPSA/GridKit) tool. This tool has been updated to retrieve up-to-date map extracts using a single [script](https://github.com/PyPSA/GridKit/blob/master/entsoe/runall_in_docker.sh). The update extract features 5322 buses, 6574 lines, 46 links. [[#118](https://github.com/PyPSA/pypsa-eur/pull/118)].
 
-* Added `FSFE REUSE <https://reuse.software>`__ compliant license information. Documentation now licensed under CC-BY-4.0 [`#160 <https://github.com/PyPSA/pypsa-eur/pull/160>`__].
+* Added [FSFE REUSE](https://reuse.software) compliant license information. Documentation now licensed under CC-BY-4.0 [[#160](https://github.com/PyPSA/pypsa-eur/pull/160)].
 
-* Added a 30 minute `video introduction <https://pypsa-eur.readthedocs.io/en/latest/introduction.html>`__ and a 20 minute `video tutorial <https://pypsa-eur.readthedocs.io/en/latest/tutorial.html>`__
+* Added a 30 minute [video introduction](https://pypsa-eur.readthedocs.io/en/latest/introduction.html) and a 20 minute [video tutorial](https://pypsa-eur.readthedocs.io/en/latest/tutorial.html)
 
-* Networks now store a color and a nicely formatted name for each carrier, accessible via ``n.carrier['color']`` and ``n.carrier['nice_name'] ``(networks after ``elec.nc``).
+* Networks now store a color and a nicely formatted name for each carrier, accessible via `n.carrier['color']` and `n.carrier['nice_name'] `(networks after `elec.nc`).
 
-* Added an option to skip iterative solving usually performed to update the line impedances of expanded lines at ``solving: options: skip_iterations:``.
+* Added an option to skip iterative solving usually performed to update the line impedances of expanded lines at `solving: options: skip_iterations:`.
 
-* ``snakemake`` rules for retrieving cutouts and the natura raster can now be disabled independently from their respective rules to build them; via ``config.*yaml`` [`#136 <https://github.com/PyPSA/pypsa-eur/pull/136>`__].
+* `snakemake` rules for retrieving cutouts and the natura raster can now be disabled independently from their respective rules to build them; via `config.*yaml` [[#136](https://github.com/PyPSA/pypsa-eur/pull/136)].
 
-* Removed the ``id`` column for custom power plants in ``data/custom_powerplants.csv`` to avoid custom power plants with conflicting ids getting attached to the wrong bus [`#131 <https://github.com/PyPSA/pypsa-eur/pull/131>`__].
+* Removed the `id` column for custom power plants in `data/custom_powerplants.csv` to avoid custom power plants with conflicting ids getting attached to the wrong bus [[#131](https://github.com/PyPSA/pypsa-eur/pull/131)].
 
-* Add option ``renewables: {carrier}: keep_all_available_areas:`` to use all available weather cells for renewable profile and potential generation. The default ignores weather cells where only less than 1 MW can be installed  [`#150 <https://github.com/PyPSA/pypsa-eur/pull/150>`__].
+* Add option `renewables: {carrier}: keep_all_available_areas:` to use all available weather cells for renewable profile and potential generation. The default ignores weather cells where only less than 1 MW can be installed  [[#150](https://github.com/PyPSA/pypsa-eur/pull/150)].
 
-* Added a function ``_helpers.load_network()`` which loads a network with overridden components specified in ``snakemake.config['override_components']`` [`#128 <https://github.com/PyPSA/pypsa-eur/pull/128>`__].
+* Added a function `_helpers.load_network()` which loads a network with overridden components specified in `snakemake.config['override_components']` [[#128](https://github.com/PyPSA/pypsa-eur/pull/128)].
 
-* Bugfix in  :mod:`base_network` which now finds all closest links, not only the first entry [`#143 <https://github.com/PyPSA/pypsa-eur/pull/143>`__].
+* Bugfix in  [base_network][] which now finds all closest links, not only the first entry [[#143](https://github.com/PyPSA/pypsa-eur/pull/143)].
 
-* Bugfix in :mod:`cluster_network` which now skips recalculation of link parameters if there are no links  [`#149 <https://github.com/PyPSA/pypsa-eur/pull/149>`__].
+* Bugfix in [cluster_network][] which now skips recalculation of link parameters if there are no links  [[#149](https://github.com/PyPSA/pypsa-eur/pull/149)].
 
-* Added information on pull requests to contribution guidelines [`#151 <https://github.com/PyPSA/pypsa-eur/pull/151>`__].
+* Added information on pull requests to contribution guidelines [[#151](https://github.com/PyPSA/pypsa-eur/pull/151)].
 
 * Improved documentation on open-source solver setup and added usage warnings.
 
-* Updated ``conda`` environment regarding ``pypsa``, ``pyproj``, ``gurobi``, ``lxml``. This release requires PyPSA v0.17.0.
+* Updated `conda` environment regarding `pypsa`, `pyproj`, `gurobi`, `lxml`. This release requires PyPSA v0.17.0.
 
-PyPSA-Eur 0.1.0 (9th January 2020)
-----------------------------------
+### PyPSA-Eur 0.1.0 (9th January 2020)
 
 This is the first release of PyPSA-Eur, a model of the European power system at the transmission network level. Recent changes include:
 
-* Documentation on installation, workflows and configuration settings is now available online at `pypsa-eur.readthedocs.io <pypsa-eur.readthedocs.io>`__ [`#65 <https://github.com/PyPSA/pypsa-eur/pull/65>`__].
+* Documentation on installation, workflows and configuration settings is now available online at [pypsa-eur.readthedocs.io](https://pypsa-eur.readthedocs.io) [[#65](https://github.com/PyPSA/pypsa-eur/pull/65)].
 
-* The ``conda`` environment files were updated and extended [`#81 <https://github.com/PyPSA/pypsa-eur/pull/81>`__].
+* The `conda` environment files were updated and extended [[#81](https://github.com/PyPSA/pypsa-eur/pull/81)].
 
-* The power plant database was updated with extensive filtering options via ``pandas.query`` functionality [`#84 <https://github.com/PyPSA/pypsa-eur/pull/84>`__ and `#94 <https://github.com/PyPSA/pypsa-eur/pull/94>`__].
+* The power plant database was updated with extensive filtering options via `pandas.query` functionality [[#84](https://github.com/PyPSA/pypsa-eur/pull/84) and [#94](https://github.com/PyPSA/pypsa-eur/pull/94)].
 
-* Continuous integration testing with `Travis CI <https://travis-ci.org>`__ is now included for Linux, Mac and Windows [`#82 <https://github.com/PyPSA/pypsa-eur/pull/82>`__].
+* Continuous integration testing with [Travis CI](https://travis-ci.org) is now included for Linux, Mac and Windows [[#82](https://github.com/PyPSA/pypsa-eur/pull/82)].
 
-* Data dependencies were moved to `zenodo <https://zenodo.org/>`__ and are now versioned [`#60 <https://github.com/PyPSA/pypsa-eur/issues/60>`__].
+* Data dependencies were moved to [zenodo](https://zenodo.org/) and are now versioned [[#60](https://github.com/PyPSA/pypsa-eur/issues/60)].
 
-* Data dependencies are now retrieved directly from within the snakemake workflow [`#86 <https://github.com/PyPSA/pypsa-eur/pull/86>`__].
+* Data dependencies are now retrieved directly from within the snakemake workflow [[#86](https://github.com/PyPSA/pypsa-eur/pull/86)].
 
-* Emission prices can be added to marginal costs of generators through the keywords ``Ep`` in the ``{opts}`` wildcard [`#100 <https://github.com/PyPSA/pypsa-eur/pull/100>`__].
+* Emission prices can be added to marginal costs of generators through the keywords `Ep` in the `{opts}` wildcard [[#100](https://github.com/PyPSA/pypsa-eur/pull/100)].
 
-* An option is introduced to add extendable nuclear power plants to the network [`#98 <https://github.com/PyPSA/pypsa-eur/pull/98>`__].
+* An option is introduced to add extendable nuclear power plants to the network [[#98](https://github.com/PyPSA/pypsa-eur/pull/98)].
 
-* Focus weights can now be specified for particular countries for the network clustering, which allows to set a proportion of the total number of clusters for particular countries [`#87 <https://github.com/PyPSA/pypsa-eur/pull/87>`__].
+* Focus weights can now be specified for particular countries for the network clustering, which allows to set a proportion of the total number of clusters for particular countries [[#87](https://github.com/PyPSA/pypsa-eur/pull/87)].
 
-* A new rule :mod:`add_extra_components` allows to add additional components to the network only after clustering. It is thereby possible to model storage units (e.g. battery and hydrogen) in more detail via a combination of ``Store``, ``Link`` and ``Bus`` elements [`#97 <https://github.com/PyPSA/pypsa-eur/pull/97>`__].
+* A new rule `add_extra_components` allows to add additional components to the network only after clustering. It is thereby possible to model storage units (e.g. battery and hydrogen) in more detail via a combination of `Store`, `Link` and `Bus` elements [[#97](https://github.com/PyPSA/pypsa-eur/pull/97)].
 
-* Hydrogen pipelines (including cost assumptions) can now be added alongside clustered network connections in the rule :mod:`add_extra_components` . Set ``electricity: extendable_carriers: Link: [H2 pipeline]`` and ensure hydrogen storage is modelled as a ``Store``. This is a first simplified stage [`#108 <https://github.com/PyPSA/pypsa-eur/pull/108>`__].
+* Hydrogen pipelines (including cost assumptions) can now be added alongside clustered network connections in the rule `add_extra_components` . Set `electricity: extendable_carriers: Link: [H2 pipeline]` and ensure hydrogen storage is modelled as a `Store`. This is a first simplified stage [[#108](https://github.com/PyPSA/pypsa-eur/pull/108)].
 
-* Logfiles for all rules of the ``snakemake`` workflow are now written in the folder ``log/`` [`#102 <https://github.com/PyPSA/pypsa-eur/pull/102>`__].
+* Logfiles for all rules of the `snakemake` workflow are now written in the folder `log/` [[#102](https://github.com/PyPSA/pypsa-eur/pull/102)].
 
-* The new function ``_helpers.mock_snakemake`` creates a ``snakemake`` object which mimics the actual ``snakemake`` object produced by workflow by parsing the ``Snakefile`` and setting all paths for inputs, outputs, and logs. This allows running all scripts within a (I)python terminal (or just by calling ``python <script-name>``) and thereby facilitates developing and debugging scripts significantly [`#107 <https://github.com/PyPSA/pypsa-eur/pull/107>`__].
+* The new function `_helpers.mock_snakemake` creates a `snakemake` object which mimics the actual `snakemake` object produced by workflow by parsing the `Snakefile` and setting all paths for inputs, outputs, and logs. This allows running all scripts within a (I)python terminal (or just by calling `python <script-name>`) and thereby facilitates developing and debugging scripts significantly [[#107](https://github.com/PyPSA/pypsa-eur/pull/107)].
 
 
-PyPSA-Eur-Sec Releases (pre-merge)
-==================================
+## PyPSA-Eur-Sec Releases (pre-merge)
 
-PyPSA-Eur-Sec 0.7.0 (16th February 2023)
-----------------------------------------
+### PyPSA-Eur-Sec 0.7.0 (16th February 2023)
 
 This release includes many new features. Highlights include new gas
 infrastructure data with retrofitting options for hydrogen transport, improved
@@ -3073,53 +3004,48 @@ hydrogen underground storage and carbon sequestration, new applications for
 biomass, and explicit modelling of methanol and ammonia as separate energy
 carriers.
 
-This release is known to work with `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ Version 0.7.0 and `Technology Data
-<https://github.com/PyPSA/technology-data>`__ Version 0.5.0.
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.7.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.5.0.
 
 **Gas Transmission Network**
 
-* New rule ``retrieve_gas_infrastructure_data`` that downloads and extracts the
-  SciGRID_gas `IGGIELGN <https://zenodo.org/records/4767098>`__ dataset from
+* New rule `retrieve_gas_infrastructure_data` that downloads and extracts the
+  SciGRID_gas [IGGIELGN](https://zenodo.org/records/4767098) dataset from
   zenodo. It includes data on the transmission routes, pipe diameters,
   capacities, pressure, and whether the pipeline is bidirectional and carries
   H-Gas or L-Gas.
 
-* New rule ``build_gas_network`` processes and cleans the pipeline data from
+* New rule `build_gas_network` processes and cleans the pipeline data from
   SciGRID_gas. Missing or uncertain pipeline capacities can be inferred by
   diameter.
 
-* New rule ``build_gas_input_locations`` compiles the LNG import capacities
-  (from the Global Energy Monitor's `Europe Gas Tracker
-  <https://globalenergymonitor.org/projects/europe-gas-tracker/>`__, pipeline
+* New rule `build_gas_input_locations` compiles the LNG import capacities
+  (from the Global Energy Monitor's [Europe Gas Tracker](https://globalenergymonitor.org/projects/europe-gas-tracker/), pipeline
   entry capacities and local production capacities for each region of the model.
   These are the regions where fossil gas can eventually enter the model.
 
-* New rule ``cluster_gas_network`` that clusters the gas transmission network
+* New rule `cluster_gas_network` that clusters the gas transmission network
   data to the model resolution. Cross-regional pipeline capacities are
   aggregated (while pressure and diameter compatibility is ignored),
   intra-regional pipelines are dropped. Lengths are recalculated based on the
   regions' centroids.
 
-* With the option ``sector: gas_network:``, the existing gas network is added
-  with a lossless transport model. A length-weighted `k-edge augmentation
-  algorithm
-  <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`__
+* With the option `sector: gas_network:`, the existing gas network is added
+  with a lossless transport model. A length-weighted [k-edge augmentation algorithm](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation)
   can be run to add new candidate gas pipelines such that all regions of the
   model can be connected to the gas network. The number of candidates can be
-  controlled via the setting ``sector: gas_network_connectivity_upgrade:``. When
+  controlled via the setting `sector: gas_network_connectivity_upgrade:`. When
   the gas network is activated, all the gas demands are regionally disaggregated
   as well.
 
 * New constraint allows endogenous retrofitting of gas pipelines to hydrogen
-  pipelines. This option is activated via the setting ``sector: H2_retrofit:``.
+  pipelines. This option is activated via the setting `sector: H2_retrofit:`.
   For every unit of gas pipeline capacity dismantled, ``sector:
   H2_retrofit_capacity_per_CH4`` units are made available as hydrogen pipeline
   capacity in the corresponding corridor. These repurposed hydrogen pipelines
   have lower costs than new hydrogen pipelines. Both new and repurposed
   pipelines can be built simultaneously. The retrofitting option ``sector:
   H2_retrofit:`` also works with a copperplated methane infrastructure, i.e.
-  when ``sector: gas_network: false``.
+  when `sector: gas_network: false`.
 
 * New hydrogen pipelines can now be built where there are already power or gas
   transmission routes. Previously, only the electricity transmission routes were
@@ -3128,31 +3054,30 @@ This release is known to work with `PyPSA-Eur
 **Carbon Management and Biomass**
 
 * Add option to spatially resolve carrier representing stored carbon dioxide
-  (``co2_spatial``). This allows for more detailed modelling of CCUTS, e.g.
+  (`co2_spatial`). This allows for more detailed modelling of CCUTS, e.g.
   regarding the capturing of industrial process emissions, usage as feedstock
   for electrofuels, transport of carbon dioxide, and geological sequestration
   sites.
 
 * Add option for regionally-resolved geological carbon dioxide sequestration
-  potentials through new rule ``build_sequestration_potentials`` based on
-  `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`__. This
-  can be controlled in the section ``regional_co2_sequestration_potential`` of
-  the ``config.yaml``. It includes options to select the level of conservatism,
+  potentials through new rule `build_sequestration_potentials` based on
+  [CO2StoP](https://setis.ec.europa.eu/european-co2-storage-database_en). This
+  can be controlled in the section `regional_co2_sequestration_potential` of
+  the `config.yaml`. It includes options to select the level of conservatism,
   whether onshore potentials should be included, the respective upper and lower
   limits per region, and an annualisation parameter for the cumulative
   potential. The defaults are preliminary and will be validated the next
   release.
 
 * Add option to sweep the global CO2 sequestration potentials with keyword
-  ``seq200`` in the ``{sector_opts}`` wildcard (for limit of 200 Mt CO2).
+  `seq200` in the `{sector_opts}` wildcard (for limit of 200 Mt CO2).
 
-* Add option to include `Allam cycle gas power plants
-  <https://en.wikipedia.org/wiki/Allam_power_cycle>`__ (``allam_cycle``).
+* Add option to include [Allam cycle gas power plants](https://en.wikipedia.org/wiki/Allam_power_cycle) (`allam_cycle`).
 
-* Add option for planning a new carbon dioxide network (``co2network``).
+* Add option for planning a new carbon dioxide network (`co2network`).
 
-* Separate option to regionally resolve biomass (``biomass_spatial``) from
-  option to allow biomass transport (``biomass_transport``).
+* Separate option to regionally resolve biomass (`biomass_spatial`) from
+  option to allow biomass transport (`biomass_transport`).
 
 * Add option for biomass boilers (wood pellets) for decentral heating.
 
@@ -3164,15 +3089,13 @@ This release is known to work with `PyPSA-Eur
 
 **Other new features**
 
-* Add regionalised hydrogen salt cavern storage potentials from `Technical
-  Potential of Salt Caverns for Hydrogen Storage in Europe
-  <https://doi.org/10.20944/preprints201910.0187.v1>`__. This data is compiled in
-  a new rule ``build_salt_cavern_potentials``.
+* Add regionalised hydrogen salt cavern storage potentials from [Technical Potential of Salt Caverns for Hydrogen Storage in Europe](https://doi.org/10.20944/preprints201910.0187.v1). This data is compiled in
+  a new rule `build_salt_cavern_potentials`.
 
 * Add option to resolve ammonia as separate energy carrier with Haber-Bosch
   synthesis, ammonia cracking, storage and industrial demand. The ammonia
   carrier can be nodally resolved or copperplated across Europe (see
-  ``ammonia``).
+  `ammonia`).
 
 * Add methanol as energy carrier, methanolisation as process, and option for
   methanol demand in shipping sector.
@@ -3181,77 +3104,75 @@ This release is known to work with `PyPSA-Eur
   until 2050.
 
 * Demand for liquid hydrogen in international shipping is now geographically
-  distributed by port trade volumes in a new rule ``build_shipping_demand``
-  using data from the `World Bank Data Catalogue
-  <https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports>`__.
+  distributed by port trade volumes in a new rule `build_shipping_demand`
+  using data from the [World Bank Data Catalogue](https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports).
   Domestic shipping remains distributed by population.
 
 * Add option to aggregate network temporally using representative snapshots or
-  segments (with `tsam <https://github.com/FZJ-IEK3-VSA/tsam>`__).
+  segments (with [tsam](https://github.com/FZJ-IEK3-VSA/tsam)).
 
 * Add option for minimum part load for Fischer-Tropsch plants (default: 90%) and
   methanolisation plants (default: 50%).
 
 * Add option to use waste heat of electrolysis in district heating networks
-  (``use_electrolysis_waste_heat``).
+  (`use_electrolysis_waste_heat`).
 
-* Add option for coal CHPs with carbon capture (see ``coal_cc``).
+* Add option for coal CHPs with carbon capture (see `coal_cc`).
 
 * In overnight optimisation, it is now possible to specify a year for the
   technology cost projections separate from the planning horizon.
 
 * New config options for changing energy demands in aviation
-  (``aviation_demand_factor``) and HVC industry (``HVC_demand_factor``), as well
-  as explicit ICE shares for land transport (``land_transport_ice_share``) and
-  agriculture machinery (``agriculture_machinery_oil_share``).
+  (`aviation_demand_factor`) and HVC industry (`HVC_demand_factor`), as well
+  as explicit ICE shares for land transport (`land_transport_ice_share`) and
+  agriculture machinery (`agriculture_machinery_oil_share`).
 
 * It is now possible to merge residential and services heat buses to reduce the
-  problem size (see ``cluster_heat_nodes``).
+  problem size (see `cluster_heat_nodes`).
 
 * Added option to tweak (almost) any configuration parameter through the
-  ``{sector_opts}`` wildcard. The regional_co2_sequestration_potential is
-  triggered by the prefix ``CF+`` after which it is possible to pipe to any
-  setting that does not contain underscores (``_``). Example:
-  ``CF+sector+v2g+false`` disables vehicle-to-grid flexibility.
+  `{sector_opts}` wildcard. The regional_co2_sequestration_potential is
+  triggered by the prefix `CF+` after which it is possible to pipe to any
+  setting that does not contain underscores (`_`). Example:
+  `CF+sector+v2g+false` disables vehicle-to-grid flexibility.
 
-* Option ``retrieve_sector_databundle`` to automatically retrieve and extract
+* Option `retrieve_sector_databundle` to automatically retrieve and extract
   data bundle.
 
-* Removed the need to clone ``technology-data`` repository in a parallel
+* Removed the need to clone `technology-data` repository in a parallel
   directory. The new approach automatically retrieves the technology data from
-  remote in the rule ``retrieve_cost_data``.
+  remote in the rule `retrieve_cost_data`.
 
 * Improved network plots including better legends, hydrogen retrofitting network
   display, and change to EqualEarth projection. A new color scheme for
   technologies was also introduced.
 
-* Add two new rules ``build_transport_demand`` and
-  ``build_population_weighted_energy_totals`` using code previously contained in
-  ``prepare_sector_network``.
+* Add two new rules `build_transport_demand` and
+  `build_population_weighted_energy_totals` using code previously contained in
+  `prepare_sector_network`.
 
-* Rules that convert weather data with ``atlite`` now largely run separately for
+* Rules that convert weather data with `atlite` now largely run separately for
   categories residential, rural and total.
 
 * Units are assigned to the buses. These only provide a better understanding.
   The specifications of the units are not taken into account in the
   optimisation, which means that no automatic conversion of units takes place.
 
-* Configuration file and wildcards are now stored under ``n.meta`` in every
+* Configuration file and wildcards are now stored under `n.meta` in every
   PyPSA network.
 
-* Updated `data bundle
-  <https://zenodo.org/records/5824485/files/pypsa-eur-sec-data-bundle.tar.gz>`__
+* Updated [data bundle](https://zenodo.org/records/5824485/files/pypsa-eur-sec-data-bundle.tar.gz)
   that includes the hydrogan salt cavern storage potentials.
 
 * Updated and extended documentation in
   <https://pypsa-eur-sec.readthedocs.io/en/latest/>
 
-* Added new rule ``copy_conda_env`` that exports a list of packages with which
+* Added new rule `copy_conda_env` that exports a list of packages with which
   the workflow was executed.
 
 * Add basic continuous integration using Github Actions.
 
-* Add basic ``rsync`` setup.
+* Add basic `rsync` setup.
 
 **Bugfixes**
 
@@ -3260,22 +3181,20 @@ This release is known to work with `PyPSA-Eur
   global constraints.
 
 * Correct capital cost of Fischer-Tropsch according to new units in
-  ``technology-data`` repository.
+  `technology-data` repository.
 
 * Fix unit conversion error for thermal energy storage.
 
 * For myopic pathway optimisation, set optimised capacities of power grid
   expansion of previous iteration as minimum capacity for next iteration.
 
-* Further rather minor bugfixes for myopic optimisation code (see `#256
-  <https://github.com/PyPSA/pypsa-eur-sec/pull/256>`__).
+* Further rather minor bugfixes for myopic optimisation code (see [#256](https://github.com/PyPSA/pypsa-eur-sec/pull/256)).
 
 
 Many thanks to all who contributed to this release!
 
 
-PyPSA-Eur-Sec 0.6.0 (4 October 2021)
-------------------------------------
+### PyPSA-Eur-Sec 0.6.0 (4 October 2021)
 
 This release includes
 improvements regarding the basic chemical production,
@@ -3286,10 +3205,8 @@ CO2 pipeline transport and storage, and
 more options in setting exogenous transition paths,
 besides many performance improvements.
 
-This release is known to work with `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ Version 0.4.0, `Technology Data
-<https://github.com/PyPSA/technology-data>`__ Version 0.3.0 and
-`PyPSA <https://github.com/PyPSA/PyPSA>`__ Version 0.18.0.
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.4.0, [Technology Data](https://github.com/PyPSA/technology-data) Version 0.3.0 and
+[PyPSA](https://github.com/PyPSA/PyPSA) Version 0.18.0.
 
 Please note that the data bundle has also been updated.
 
@@ -3306,15 +3223,15 @@ Please note that the data bundle has also been updated.
   battery costs.
 
 * Separate basic chemicals into HVC (high-value chemicals), chlorine, methanol and ammonia
-  [`#166 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166>`__].
+  [[#166](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166)].
 
 * Add option to specify reuse, primary production, and mechanical and chemical
   recycling fraction of platics
-  [`#166 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166>`__].
+  [[#166](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166)].
 
 * Include energy demands and CO2 emissions for the agriculture, forestry and fishing sector.
-  It is included by default through the option ``A`` in the ``sector_opts`` wildcard.
-  Part of the emissions (1.A.4.c) was previously assigned to "industry non-elec" in the ``co2_totals.csv``.
+  It is included by default through the option `A` in the `sector_opts` wildcard.
+  Part of the emissions (1.A.4.c) was previously assigned to "industry non-elec" in the `co2_totals.csv`.
   Hence, excluding the agriculture sector will now lead to a tighter CO2 limit.
   Energy demands are taken from the JRC IDEES database (missing countries filled with eurostat data)
   and are split into
@@ -3324,42 +3241,40 @@ Please note that the data bundle has also been updated.
   Heat demand is assigned at "services rural heat" buses.
   Electricity demands are added to low-voltage buses.
   Time series for demands are constant and distributed inside countries by population
-  [`#147 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/147>`__].
+  [[#147](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/147)].
 
 * Include today's district heating shares in myopic optimisation and add option
   to specify exogenous path for district heating share increase under ``sector:
-  district_heating:`` [`#149 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/149>`__].
+  district_heating:`` [[#149](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/149)].
 
 * Added option for hydrogen liquefaction costs for hydrogen demand in shipping.
-  This introduces a new ``H2 liquid`` bus at each location. It is activated via
-  ``sector: shipping_hydrogen_liquefaction: true``.
+  This introduces a new `H2 liquid` bus at each location. It is activated via
+  `sector: shipping_hydrogen_liquefaction: true`.
 
 * The share of shipping transformed into hydrogen fuel cell can be now defined
-  for different years in the ``config.yaml`` file. The carbon emission from the
+  for different years in the `config.yaml` file. The carbon emission from the
   remaining share is treated as a negative load on the atmospheric carbon dioxide
   bus, just like aviation and land transport emissions.
 
 * The transformation of the Steel and Aluminium production can be now defined
-  for different years in the ``config.yaml`` file.
+  for different years in the `config.yaml` file.
 
 * Include the option to alter the maximum energy capacity of a store via the
-  ``carrier+factor`` in the ``{sector_opts}`` wildcard. This can be useful for
-  sensitivity analyses. Example: ``co2 stored+e2`` multiplies the ``e_nom_max`` by
-  factor 2. In this example, ``e_nom_max`` represents the CO2 sequestration
+  `carrier+factor` in the `{sector_opts}` wildcard. This can be useful for
+  sensitivity analyses. Example: `co2 stored+e2` multiplies the `e_nom_max` by
+  factor 2. In this example, `e_nom_max` represents the CO2 sequestration
   potential in Europe.
 
-* Use `JRC ENSPRESO database <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ to
+* Use [JRC ENSPRESO database](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f) to
   spatially disaggregate biomass potentials to PyPSA-Eur regions based on
-  overlaps with NUTS2 regions from ENSPRESO (proportional to area) (`#151
-  <https://github.com/PyPSA/pypsa-eur-sec/pull/151>`__).
+  overlaps with NUTS2 regions from ENSPRESO (proportional to area) ([#151](https://github.com/PyPSA/pypsa-eur-sec/pull/151)).
 
 * Add option to regionally disaggregate biomass potential to individual nodes
   (previously given per country, then distributed by population density within)
   and allow the transport of solid biomass. The transport costs are determined
-  based on the `JRC-EU-Times Bioenergy report
-  <http://dx.doi.org/10.2790/01017>`__ in the new optional rule
-  ``build_biomass_transport_costs``. Biomass transport can be activated with the
-  setting ``sector: biomass_transport: true``.
+  based on the [JRC-EU-Times Bioenergy report](http://dx.doi.org/10.2790/01017) in the new optional rule
+  `build_biomass_transport_costs`. Biomass transport can be activated with the
+  setting `sector: biomass_transport: true`.
 
 * Add option to regionally resolve CO2 storage and add CO2 pipeline transport
   because geological storage potential,
@@ -3369,50 +3284,50 @@ Please note that the data bundle has also been updated.
   retrofitting of natural gas pipelines (required pressures are too high, 80-160
   bar vs <80 bar) nor other modes of CO2 transport (by ship, road or rail) are
   considered. The regional representation of CO2 is activated with the config
-  setting ``sector: co2_network: true`` but is deactivated by default. The
+  setting `sector: co2_network: true` but is deactivated by default. The
   global limit for CO2 sequestration now applies to the sum of all CO2 stores
-  via an ``extra_functionality`` constraint.
+  via an `extra_functionality` constraint.
 
 * The myopic option can now be used together with different clustering for the
   generators and the network. The existing renewable capacities are split evenly
-  among the regions in every country [`#144 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/144>`__].
+  among the regions in every country [[#144](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/144)].
 
-* Add optional function to use ``geopy`` to locate entries of the Hotmaps
+* Add optional function to use `geopy` to locate entries of the Hotmaps
   database of industrial sites with missing location based on city and country,
   which reduces missing entries by half. It can be activated by setting
-  ``industry: hotmaps_locate_missing: true``, takes a few minutes longer, and
+  `industry: hotmaps_locate_missing: true`, takes a few minutes longer, and
   should only be used if spatial resolution is coarser than city level.
 
 
 **Performance and Structure**
 
-* Extended use of ``multiprocessing`` for much better performance
+* Extended use of `multiprocessing` for much better performance
   (from up to 20 minutes to less than one minute).
 
-* Handle most input files (or base directories) via ``snakemake.input``.
+* Handle most input files (or base directories) via `snakemake.input`.
 
-* Use of ``mock_snakemake`` from PyPSA-Eur.
+* Use of `mock_snakemake` from PyPSA-Eur.
 
-* Update ``solve_network`` rule to match implementation in PyPSA-Eur by using
-  ``n.ilopf()`` and remove outdated code using ``pyomo``.
+* Update `solve_network` rule to match implementation in PyPSA-Eur by using
+  `n.ilopf()` and remove outdated code using `pyomo`.
   Allows the new setting to skip iterated impedance updates with ``solving:
   options: skip_iterations: true``.
 
 * The component attributes that are to be overridden are now stored in the folder
-  ``data/override_component_attrs`` analogous to ``pypsa/component_attrs``.
-  This reduces verbosity and also allows circumventing the ``n.madd()`` hack
+  `data/override_component_attrs` analogous to `pypsa/component_attrs`.
+  This reduces verbosity and also allows circumventing the `n.madd()` hack
   for individual components with non-default attributes.
   This data is also tracked in the Snakefile.
-  A function ``helper.override_component_attrs`` was added that loads this data
-  and can pass the overridden component attributes into ``pypsa.Network()``.
+  A function `helper.override_component_attrs` was added that loads this data
+  and can pass the overridden component attributes into `pypsa.Network()`.
 
-* Add various parameters to ``config.default.yaml`` which were previously hardcoded inside the scripts
+* Add various parameters to `config.default.yaml` which were previously hardcoded inside the scripts
   (e.g. energy reference years, BEV settings, solar thermal collector models, geomap colours).
 
-* Removed stale industry demand rules ``build_industrial_energy_demand_per_country``
-  and ``build_industrial_demand``. These are superseded with more regionally resolved rules.
+* Removed stale industry demand rules `build_industrial_energy_demand_per_country`
+  and `build_industrial_demand`. These are superseded with more regionally resolved rules.
 
-* Use simpler and shorter ``gdf.sjoin()`` function to allocate industrial sites
+* Use simpler and shorter `gdf.sjoin()` function to allocate industrial sites
   from the Hotmaps database to onshore regions.
   This change also fixes a bug:
   The previous version allocated sites to the closest bus,
@@ -3422,89 +3337,86 @@ Please note that the data bundle has also been updated.
 
 * Retrofitting rule is now only triggered if endogeneously optimised.
 
-* Show progress in build rules with ``tqdm`` progress bars.
+* Show progress in build rules with `tqdm` progress bars.
 
-* Reduced verbosity of ``Snakefile`` through directory prefixes.
+* Reduced verbosity of `Snakefile` through directory prefixes.
 
-* Improve legibility of ``config.default.yaml`` and remove unused options.
+* Improve legibility of `config.default.yaml` and remove unused options.
 
-* Use the country-specific time zone mappings from ``pytz`` rather than a manual mapping.
+* Use the country-specific time zone mappings from `pytz` rather than a manual mapping.
 
-* A function ``add_carrier_buses()`` was added to the ``prepare_network`` rule to reduce code duplication.
+* A function `add_carrier_buses()` was added to the `prepare_network` rule to reduce code duplication.
 
-* In the ``prepare_network`` rule the cost and potential adjustment was moved into an
-  own function ``maybe_adjust_costs_and_potentials()``.
+* In the `prepare_network` rule the cost and potential adjustment was moved into an
+  own function `maybe_adjust_costs_and_potentials()`.
 
-* Use ``matplotlibrc`` to set the default plotting style and backend.
+* Use `matplotlibrc` to set the default plotting style and backend.
 
 * Added benchmark files for each rule.
 
-* Consistent use of ``__main__`` block and further unspecific code cleaning.
+* Consistent use of `__main__` block and further unspecific code cleaning.
 
-* Updated data bundle and moved data bundle to zenodo.org (`10.5281/zenodo.5546517 <https://doi.org/10.5281/zenodo.5546517>`__).
+* Updated data bundle and moved data bundle to zenodo.org ([10.5281/zenodo.5546517](https://doi.org/10.5281/zenodo.5546517)).
 
 
 **Bugfixes and Compatibility**
 
-* Compatibility with ``atlite>=0.2``. Older versions of ``atlite`` will no longer work.
+* Compatibility with `atlite>=0.2`. Older versions of `atlite` will no longer work.
 
 * Corrected calculation of "gas for industry" carbon capture efficiency.
 
-* Implemented changes to ``n.snapshot_weightings`` in PyPSA v0.18.0.
+* Implemented changes to `n.snapshot_weightings` in PyPSA v0.18.0.
 
-* Compatibility with ``xarray`` version 0.19.
+* Compatibility with `xarray` version 0.19.
 
-* New dependencies: ``tqdm``, ``atlite>=0.2.4``, ``pytz`` and ``geopy`` (optional).
+* New dependencies: `tqdm`, `atlite>=0.2.4`, `pytz` and `geopy` (optional).
   These are included in the environment specifications of PyPSA-Eur v0.4.0.
 
 Many thanks to all who contributed to this release!
 
 
-PyPSA-Eur-Sec 0.5.0 (21st May 2021)
------------------------------------
+### PyPSA-Eur-Sec 0.5.0 (21st May 2021)
 
 This release includes improvements to the cost database for building retrofits, carbon budget management and wildcard settings, as well as an important bugfix for the emissions from land transport.
 
-This release is known to work with `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ Version 0.3.0 and `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0.
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.3.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0.
 
 Please note that the data bundle has also been updated.
 
 New features and bugfixes:
 
-* The cost database for retrofitting of the thermal envelope of buildings has been updated. Now, for calculating the space heat savings of a building, losses by thermal bridges and ventilation are included as well as heat gains (internal and by solar radiation). See the section :ref:`retro` for more details on the retrofitting module.
-* For the myopic investment option, a carbon budget and a type of decay (exponential or beta) can be selected in the ``config.yaml`` file to distribute the budget across the ``planning_horizons``. For example, ``cb40ex0`` in the ``{sector_opts}`` wildcard will distribute a carbon budget of 40 GtCO2 following an exponential decay with initial growth rate 0.
-* Added an option to alter the capital cost or maximum capacity of carriers by a factor via ``carrier+factor`` in the ``{sector_opts}`` wildcard. This can be useful for exploring uncertain cost parameters. Example: ``solar+c0.5`` reduces the ``capital_cost`` of solar to 50\% of original values. Similarly ``solar+p3`` multiplies the ``p_nom_max`` by 3.
-* Rename the bus for European liquid hydrocarbons from ``Fischer-Tropsch`` to ``EU oil``, since it can be supplied not just with the Fischer-Tropsch process, but also with fossil oil.
+* The cost database for retrofitting of the thermal envelope of buildings has been updated. Now, for calculating the space heat savings of a building, losses by thermal bridges and ventilation are included as well as heat gains (internal and by solar radiation). See the section [retro](sector.md#rule-build_retro_cost) for more details on the retrofitting module.
+* For the myopic investment option, a carbon budget and a type of decay (exponential or beta) can be selected in the `config.yaml` file to distribute the budget across the `planning_horizons`. For example, `cb40ex0` in the `{sector_opts}` wildcard will distribute a carbon budget of 40 GtCO2 following an exponential decay with initial growth rate 0.
+* Added an option to alter the capital cost or maximum capacity of carriers by a factor via `carrier+factor` in the `{sector_opts}` wildcard. This can be useful for exploring uncertain cost parameters. Example: `solar+c0.5` reduces the `capital_cost` of solar to 50\% of original values. Similarly `solar+p3` multiplies the `p_nom_max` by 3.
+* Rename the bus for European liquid hydrocarbons from `Fischer-Tropsch` to `EU oil`, since it can be supplied not just with the Fischer-Tropsch process, but also with fossil oil.
 * Bugfix: The new separation of land transport by carrier in Version 0.4.0 failed to account for the carbon dioxide emissions from internal combustion engines in land transport. This is now treated as a negative load on the atmospheric carbon dioxide bus, just like aviation emissions.
-* Bugfix: Fix reading in of ``pypsa-eur/resources/powerplants.csv`` to PyPSA-Eur Version 0.3.0 (use column attribute name ``DateIn`` instead of old ``YearDecommissioned``).
-* Bugfix: Make sure that ``Store`` components (battery and H2) are also removed from PyPSA-Eur, so they can be added later by PyPSA-Eur-Sec.
+* Bugfix: Fix reading in of `pypsa-eur/resources/powerplants.csv` to PyPSA-Eur Version 0.3.0 (use column attribute name `DateIn` instead of old `YearDecommissioned`).
+* Bugfix: Make sure that `Store` components (battery and H2) are also removed from PyPSA-Eur, so they can be added later by PyPSA-Eur-Sec.
 
 Thanks to Lisa Zeyen (KIT) for the retrofitting improvements and Marta Victoria (Aarhus University) for the carbon budget and wildcard management.
 
-PyPSA-Eur-Sec 0.4.0 (11th December 2020)
-----------------------------------------
+### PyPSA-Eur-Sec 0.4.0 (11th December 2020)
 
 This release includes a more accurate nodal disaggregation of industry demand within each country, fixes to CHP and CCS representations, as well as changes to some configuration settings.
 
-It has been released to coincide with `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ Version 0.3.0 and `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0, and is known to work with these releases.
+It has been released to coincide with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.3.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0, and is known to work with these releases.
 
 New features:
 
-* The `Hotmaps Industrial Database <https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database>`__ is used to disaggregate the industrial demand spatially to the nodes inside each country (previously it was distributed by population density).
+* The [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database) is used to disaggregate the industrial demand spatially to the nodes inside each country (previously it was distributed by population density).
 * Electricity demand from industry is now separated from the regular electricity demand and distributed according to the industry demand. Only the remaining regular electricity demand for households and services is distributed according to GDP and population.
-* A cost database for the retrofitting of the thermal envelope of residential and services buildings has been integrated, as well as endogenous optimisation of the level of retrofitting. This is described in the paper `Mitigating heat demand peaks in buildings in a highly renewable European energy system <https://arxiv.org/abs/2012.01831>`__. Retrofitting can be activated both exogenously and endogenously from the ``config.yaml``.
-* The biomass and gas combined heat and power (CHP) parameters ``c_v`` and ``c_b`` were read in assuming they were extraction plants rather than back pressure plants. The data is now corrected in `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0 to the correct DEA back pressure assumptions and they are now implemented as single links with a fixed ratio of electricity to heat output (even as extraction plants, they were always sitting on the backpressure line in simulations, so there was no point in modelling the full heat-electricity feasibility polygon). The old assumptions underestimated the heat output.
-* The Danish Energy Agency released `new assumptions for carbon capture <https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-industrial-process-heat-and>`__ in October 2020, which have now been incorporated in PyPSA-Eur-Sec, including direct air capture (DAC) and post-combustion capture on CHPs, cement kilns and other industrial facilities. The electricity and heat demand for DAC is modelled for each node (with heat coming from district heating), but currently the electricity and heat demand for industrial capture is not modelled very cleanly (for process heat, 10% of the energy is assumed to go to carbon capture) - a new issue will be opened on this.
+* A cost database for the retrofitting of the thermal envelope of residential and services buildings has been integrated, as well as endogenous optimisation of the level of retrofitting. This is described in the paper [Mitigating heat demand peaks in buildings in a highly renewable European energy system](https://arxiv.org/abs/2012.01831). Retrofitting can be activated both exogenously and endogenously from the `config.yaml`.
+* The biomass and gas combined heat and power (CHP) parameters `c_v` and `c_b` were read in assuming they were extraction plants rather than back pressure plants. The data is now corrected in [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0 to the correct DEA back pressure assumptions and they are now implemented as single links with a fixed ratio of electricity to heat output (even as extraction plants, they were always sitting on the backpressure line in simulations, so there was no point in modelling the full heat-electricity feasibility polygon). The old assumptions underestimated the heat output.
+* The Danish Energy Agency released [new assumptions for carbon capture](https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-industrial-process-heat-and) in October 2020, which have now been incorporated in PyPSA-Eur-Sec, including direct air capture (DAC) and post-combustion capture on CHPs, cement kilns and other industrial facilities. The electricity and heat demand for DAC is modelled for each node (with heat coming from district heating), but currently the electricity and heat demand for industrial capture is not modelled very cleanly (for process heat, 10% of the energy is assumed to go to carbon capture) - a new issue will be opened on this.
 * Land transport is separated by energy carrier (fossil, hydrogen fuel cell electric vehicle, and electric vehicle), but still needs to be separated into heavy and light vehicles (the data is there, just not the code yet).
-* For assumptions that change with the investment year, there is a new time-dependent format in the ``config.yaml`` using a dictionary with keys for each year. Implemented examples include the CO2 budget, exogenous retrofitting share and land transport energy carrier; more parameters will be dynamised like this in future.
-* Some assumptions have been moved out of the code and into the ``config.yaml``, including the carbon sequestration potential and cost, the heat pump sink temperature, reductions in demand for high value chemicals, and some BEV DSM parameters and transport efficiencies.
-* Documentation on :doc:`supply_demand` options has been added.
+* For assumptions that change with the investment year, there is a new time-dependent format in the `config.yaml` using a dictionary with keys for each year. Implemented examples include the CO2 budget, exogenous retrofitting share and land transport energy carrier; more parameters will be dynamised like this in future.
+* Some assumptions have been moved out of the code and into the `config.yaml`, including the carbon sequestration potential and cost, the heat pump sink temperature, reductions in demand for high value chemicals, and some BEV DSM parameters and transport efficiencies.
+* Documentation on [supply_demand](supply_demand.md) options has been added.
 
 Many thanks to Fraunhofer ISI for opening the hotmaps database and to Lisa Zeyen (KIT) for implementing the building retrofitting.
 
 
-PyPSA-Eur-Sec 0.3.0 (27th September 2020)
------------------------------------------
+### PyPSA-Eur-Sec 0.3.0 (27th September 2020)
 
 This releases focuses on improvements to industry demand and the generation of intermediate files for demand for basic materials. There are still inconsistencies with CCS and waste management that need to be improved.
 
@@ -3514,44 +3426,42 @@ It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and
 New features:
 
 * In previous version of PyPSA-Eur-Sec the energy demand for industry was calculated directly for each location. Now, instead, the production of each material (steel, cement, aluminium) at each location is calculated as an intermediate data file, before the energy demand is calculated from it. This allows us in future to have competing industrial processes for supplying the same material demand.
-* The script ``build_industrial_production_per_country_tomorrow.py`` determines the future industrial production of materials based on today's levels as well as assumed recycling and demand change measures.
+* The script `build_industrial_production_per_country_tomorrow.py` determines the future industrial production of materials based on today's levels as well as assumed recycling and demand change measures.
 * The energy demand for each industry sector and each location in 2015 is also calculated, so that it can be later incorporated in the pathway optimization.
 * Ammonia production data is taken from the USGS and deducted from JRC-IDEES's "basic chemicals" so that it ammonia can be handled separately from the others (olefins, aromatics and chlorine).
-* Solid biomass is no longer allowed to be used for process heat in cement and basic chemicals, since the wastes and residues cannot be guaranteed to reach the high temperatures required. Instead, solid biomass is used in the paper and pulp as well as food, beverages and tobacco industries, where required temperatures are lower (see `DOI:10.1002/er.3436 <https://doi.org/10.1002/er.3436>`__ and `DOI:10.1007/s12053-017-9571-y <https://doi.org/10.1007/s12053-017-9571-y>`__).
+* Solid biomass is no longer allowed to be used for process heat in cement and basic chemicals, since the wastes and residues cannot be guaranteed to reach the high temperatures required. Instead, solid biomass is used in the paper and pulp as well as food, beverages and tobacco industries, where required temperatures are lower (see [DOI:10.1002/er.3436](https://doi.org/10.1002/er.3436) and [DOI:10.1007/s12053-017-9571-y](https://doi.org/10.1007/s12053-017-9571-y)).
 * National installable potentials for salt caverns are now applied.
 * When electricity distribution grids are activated, new industry electricity demand, resistive heaters and micro-CHPs are now connected to the lower voltage levels.
 * Gas distribution grid costs are included for gas boilers and micro-CHPs.
 * Installable potentials for rooftop PV are included with an assumption of 1 kWp per person.
-* Some intermediate files produced by scripts have been moved from the folder ``data`` to the folder ``resources``. Now ``data`` only includes input data, while ``resources`` only includes intermediate files necessary for building the network models. Please note that the data bundle has also been updated.
-* Biomass potentials for different years and scenarios from the JRC are generated in an intermediate file, so that a selection can be made more explicitly by specifying the biomass types from the ``config.yaml``.
+* Some intermediate files produced by scripts have been moved from the folder `data` to the folder `resources`. Now `data` only includes input data, while `resources` only includes intermediate files necessary for building the network models. Please note that the data bundle has also been updated.
+* Biomass potentials for different years and scenarios from the JRC are generated in an intermediate file, so that a selection can be made more explicitly by specifying the biomass types from the `config.yaml`.
 
 
-PyPSA-Eur-Sec 0.2.0 (21st August 2020)
---------------------------------------
+### PyPSA-Eur-Sec 0.2.0 (21st August 2020)
 
-This release introduces pathway optimization over many years (e.g. 2020, 2030, 2040, 2050) with myopic foresight, as well as outsourcing the technology assumptions to the `technology-data <https://github.com/PyPSA/technology-data>`__ repository.
+This release introduces pathway optimization over many years (e.g. 2020, 2030, 2040, 2050) with myopic foresight, as well as outsourcing the technology assumptions to the [technology-data](https://github.com/PyPSA/technology-data) repository.
 
 It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and technology-data v0.1.0.
 
 New features:
 
-* Option for pathway optimization with myopic foresight, based on the paper `Early decarbonisation of the European Energy system pays off (2020) <https://arxiv.org/abs/2004.11009>`__. Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). There are also some `outstanding issues <https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802>`__ on e.g. the distribution of existing wind, solar and heating technologies within each country. To use myopic foresight, set ``foresight : 'myopic'`` in the ``config.yaml`` instead of the default ``foresight : 'overnight'``. An example configuration can be found in ``config.myopic.yaml``. More details on the implementation can be found in :doc:`myopic`.
+* Option for pathway optimization with myopic foresight, based on the paper [Early decarbonisation of the European Energy system pays off (2020)](https://arxiv.org/abs/2004.11009). Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). There are also some [outstanding issues](https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802) on e.g. the distribution of existing wind, solar and heating technologies within each country. To use myopic foresight, set `foresight : 'myopic'` in the `config.yaml` instead of the default `foresight : 'overnight'`. An example configuration can be found in `config.myopic.yaml`. More details on the implementation can be found in [myopic](foresight.md).
 
-* Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the `technology-data <https://github.com/PyPSA/technology-data>`__ database in a parallel directory. These assumptions are largely based on the `Danish Energy Agency Technology Data <https://ens.dk/en/our-services/projections-and-models/technology-data>`__. More details on the installation can be found in :doc:`installation`.
+* Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the [technology-data](https://github.com/PyPSA/technology-data) database in a parallel directory. These assumptions are largely based on the [Danish Energy Agency Technology Data](https://ens.dk/en/our-services/projections-and-models/technology-data). More details on the installation can be found in [installation](installation.md).
 
-* Logs and benchmarks are now stored with the other model outputs in ``results/run-name/``.
+* Logs and benchmarks are now stored with the other model outputs in `results/run-name/`.
 
-* All buses now have a ``location`` attribute, e.g. bus ``DE0 3 urban central heat`` has a ``location`` of ``DE0 3``.
+* All buses now have a `location` attribute, e.g. bus `DE0 3 urban central heat` has a `location` of `DE0 3`.
 
-* All assets have a ``lifetime`` attribute (integer in years). For the myopic foresight, a ``build_year`` attribute is also stored.
+* All assets have a `lifetime` attribute (integer in years). For the myopic foresight, a `build_year` attribute is also stored.
 
 * Costs for solar and onshore and offshore wind are recalculated by PyPSA-Eur-Sec based on the investment year, including the AC or DC connection costs for offshore wind.
 
 Many thanks to Marta Victoria for implementing the myopic foresight, and Marta Victoria, Kun Zhu and Lisa Zeyen for developing the technology assumptions database.
 
 
-PyPSA-Eur-Sec 0.1.0 (8th July 2020)
------------------------------------
+### PyPSA-Eur-Sec 0.1.0 (8th July 2020)
 
 This is the first proper release of PyPSA-Eur-Sec, a model of the European energy system at the transmission network level that covers the full ENTSO-E area.
 
@@ -3560,26 +3470,26 @@ It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69) and PyPSA v0.17.0.
 We are making this release since in version 0.2.0 we will introduce changes to allow myopic investment planning that will require minor changes for users of the overnight investment planning.
 
 PyPSA-Eur-Sec builds on the electricity generation and transmission
-model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ to add demand
+model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) to add demand
 and supply for the following sectors: transport, space and water
 heating, biomass, industry and industrial feedstocks. This completes
 the energy system and includes all greenhouse gas emitters except
 waste management, agriculture, forestry and land use.
 
 PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 (Version 0.0.1 below) described
-in the paper `Synergies of sector coupling and transmission
+in the paper [Synergies of sector coupling and transmission
 reinforcement in a cost-optimised, highly renewable European energy
-system <https://arxiv.org/abs/1801.05290>`__ (2018) but it differs by
+system](https://arxiv.org/abs/1801.05290) (2018) but it differs by
 being based on the higher resolution electricity transmission model
-`PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ rather than a
+[PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a
 one-node-per-country model, and by including biomass, industry,
 industrial feedstocks, aviation, shipping, better carbon management,
 carbon capture and usage/sequestration, and gas networks.
 
 
 PyPSA-Eur-Sec includes PyPSA-Eur as a
-`snakemake <https://snakemake.readthedocs.io/en/stable/index.html>`__
-`subworkflow <https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#snakefiles-sub-workflows>`__. PyPSA-Eur-Sec
+[snakemake](https://snakemake.readthedocs.io/en/stable/index.html)
+[subworkflow](https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#snakefiles-sub-workflows). PyPSA-Eur-Sec
 uses PyPSA-Eur to build the clustered transmission model along with
 wind, solar PV and hydroelectricity potentials and time series. Then
 PyPSA-Eur-Sec adds other conventional generators, storage units and
@@ -3588,57 +3498,52 @@ the additional sectors.
 
 
 
-PyPSA-Eur-Sec 0.0.2 (4th September 2020)
-----------------------------------------
+### PyPSA-Eur-Sec 0.0.2 (4th September 2020)
 
 This version, also called PyPSA-Eur-Sec-30-Path, built on
 PyPSA-Eur-Sec 0.0.1 (also called PyPSA-Eur-Sec-30) to include myopic
-pathway optimisation for the paper `Early decarbonisation of the
-European energy system pays off <https://arxiv.org/abs/2004.11009>`__
+pathway optimisation for the paper [Early decarbonisation of the
+European energy system pays off](https://arxiv.org/abs/2004.11009)
 (2020). The myopic pathway optimisation was then merged into the main
 PyPSA-Eur-Sec codebase in Version 0.2.0 above.
 
-This model has `its own github repository
-<https://github.com/martavp/pypsa-eur-sec-30-path>`__ and is `archived
-on Zenodo <https://zenodo.org/records/4014807>`__.
+This model has [its own github repository](https://github.com/martavp/pypsa-eur-sec-30-path) and is [archived
+on Zenodo](https://zenodo.org/records/4014807).
 
 
 
-PyPSA-Eur-Sec 0.0.1 (12th January 2018)
----------------------------------------
+### PyPSA-Eur-Sec 0.0.1 (12th January 2018)
 
 This is the first published version of PyPSA-Eur-Sec, also called
-PyPSA-Eur-Sec-30. It was first used in the research paper `Synergies of
+PyPSA-Eur-Sec-30. It was first used in the research paper [Synergies of
 sector coupling and transmission reinforcement in a cost-optimised,
-highly renewable European energy system
-<https://arxiv.org/abs/1801.05290>`__ (2018). The model covers 30
+highly renewable European energy system](https://arxiv.org/abs/1801.05290) (2018). The model covers 30
 European countries with one node per country. It includes demand and
 supply for electricity, space and water heating in buildings, and land
 transport.
 
-It is `archived on Zenodo <https://zenodo.org/records/1146666>`__.
+It is [archived on Zenodo](https://zenodo.org/records/1146666).
 
 
-Release Process
-===============
+## Release Process
 
-* Checkout a new release branch ``git checkout -b release-v0.x.x``.
+* Checkout a new release branch `git checkout -b release-v0.x.x`.
 
-* Finalise release notes at ``doc/release_notes.rst``.
+* Finalise release notes at `doc/release_notes.rst`.
 
-* Update ``envs/environment.fixed.yaml`` via
-  ``conda env export -n pypsa-eur -f envs/environment.fixed.yaml --no-builds``
-  from an up-to-date ``pypsa-eur`` environment.
+* Update `envs/environment.fixed.yaml` via
+  `conda env export -n pypsa-eur -f envs/environment.fixed.yaml --no-builds`
+  from an up-to-date `pypsa-eur` environment.
 
-* Update version number in ``doc/conf.py``, ``CITATION.cff`` and ``*config.*.yaml``.
+* Update version number in `doc/conf.py`, `CITATION.cff` and `*config.*.yaml`.
 
-* Make a ``git commit``.
+* Make a `git commit`.
 
-* Open, review and merge pull request for branch ``release-v0.x.x``.
+* Open, review and merge pull request for branch `release-v0.x.x`.
   Make sure to close issues and PRs or the release milestone with it (e.g. closes #X).
 
-* Tag a release on Github via ``git tag v0.x.x``, ``git push``, ``git push --tags``. Include release notes in the tag message.
+* Tag a release on Github via `git tag v0.x.x`, `git push`, `git push --tags`. Include release notes in the tag message.
 
-* Make a `GitHub release <https://github.com/PyPSA/pypsa-eur-sec/releases>`__, which automatically triggers archiving to the `zenodo code repository <https://doi.org/10.5281/zenodo.3520874>`__ with `MIT license <https://opensource.org/licenses/MIT>`__.
+* Make a [GitHub release](https://github.com/PyPSA/pypsa-eur-sec/releases), which automatically triggers archiving to the [zenodo code repository](https://doi.org/10.5281/zenodo.3520874) with [MIT license](https://opensource.org/licenses/MIT).
 
-* Send announcement on the `PyPSA mailing list <https://groups.google.com/forum/#!forum/pypsa>`__.
+* Send announcement on the [PyPSA mailing list](https://groups.google.com/forum/#!forum/pypsa).
diff --git a/doc/retrieve.md b/doc/retrieve.md
index 40ee8813c4..deb18e956c 100644
--- a/doc/retrieve.md
+++ b/doc/retrieve.md
@@ -1,54 +1,44 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _data:
-
-###############
-Retrieving Data
-###############
+# Retrieving Data {#data}
 
 Not all data dependencies are shipped with the git repository, since git is not suited for handling large changing files.
-Instead we use separate steps in the workflow (``rules`` executed by ``snakemake``) to download external data using the ``retrieve_<dataset>`` rules.
+Instead we use separate steps in the workflow (`rules` executed by `snakemake`) to download external data using the `retrieve_<dataset>` rules.
 
 Data is generally retrieved in a version-controlled manner, enabling control over input data versions, reproducibility and consistency of modelling runs.
-The rules download data into subfolders in the `data/` directory, following the structure 
-``data/{dataset}/{source}/{version}``, e.g. ``data/jrc_idees/primary/March-2025-V1/``.
-Which specific data version is retrieve can be controlled in the `data configuration <https://pypsa-eur.readthedocs.io/en/latest/configuration.html#data>`__ .
+The rules download data into subfolders in the `data/` directory, following the structure
+`data/{dataset}/{source}/{version}`, e.g. `data/jrc_idees/primary/March-2025-V1/`.
+Which specific data version is retrieve can be controlled in the [data configuration](https://pypsa-eur.readthedocs.io/en/latest/configuration.html#data).
 
-Below some specific ``retrieve_<dataset>`` rules are documented.
-For more information on the datasets retrieved, see the `data sources <https://pypsa-eur.readthedocs.io/en/latest/data_sources.html>`__ and *Data inventory* section there in the documentation.
+Below some specific `retrieve_<dataset>` rules are documented.
+For more information on the datasets retrieved, see the [data sources](https://pypsa-eur.readthedocs.io/en/latest/data_sources.html) and *Data inventory* section there in the documentation.
 
-Rule ``retrieve_bidding_zones``
-=========================================
+## Rule `retrieve_bidding_zones`
 
-.. automodule:: retrieve_bidding_zones
+<!-- ::: retrieve_bidding_zones (module not found) -->
 
-Rule ``retrieve_cutout``
-============================
+## Rule `retrieve_cutout`
 
-See :ref:`cutouts`.
+See [cutouts](configuration.md#atlite_cf).
 
 
-Rule ``retrieve_electricity_demand_energy_atlas``
-=================================================
+## Rule `retrieve_electricity_demand_energy_atlas`
 
-This rule downloads 1km by 1km raster of estimated annual electricity demand from the `JRC Energy Atlas <https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/>`__ .
+This rule downloads 1km by 1km raster of estimated annual electricity demand from the [JRC Energy Atlas](https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/).
 
-Rule ``retrieve_desnz_electricity_consumption``
-================================================
+## Rule `retrieve_desnz_electricity_consumption`
 
-This rule downloads subnational electricity consumption data for Great Britain from the `Department for Energy Security and Net Zero <https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics>`__ .
+This rule downloads subnational electricity consumption data for Great Britain from the [Department for Energy Security and Net Zero](https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics).
 
-Rule ``retrieve_ons_lad``
-=========================
+## Rule `retrieve_ons_lad`
 
-This rule downloads shapefiles of local authorities in the United Kingdom from the `Office for National Statistics <https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about>`__ .
+This rule downloads shapefiles of local authorities in the United Kingdom from the [Office for National Statistics](https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about).
 
-Rule ``retrieve_electricity_demand_opsd``
-=========================================
+## Rule `retrieve_electricity_demand_opsd`
 
-This rule downloads hourly electric load data for each country from the `OPSD platform <https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv>`__.
+This rule downloads hourly electric load data for each country from the [OPSD platform](https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv).
 
 **Relevant Settings**
 
@@ -56,12 +46,11 @@ None.
 
 **Outputs**
 
-- ``data/electricity_demand_opsd_raw.csv``
+- `data/electricity_demand_opsd_raw.csv`
 
-Rule ``retrieve_electricity_demand_entsoe``
-===========================================
+## Rule `retrieve_electricity_demand_entsoe`
 
-This rule downloads hourly electric load data for each country from the `ENTSOE Transparency Platform <https://transparency.entsoe.eu>`__.
+This rule downloads hourly electric load data for each country from the [ENTSOE Transparency Platform](https://transparency.entsoe.eu).
 
 **Relevant Settings**
 
@@ -69,12 +58,11 @@ None.
 
 **Outputs**
 
-- ``data/electricity_demand_entsoe_raw.csv``
+- `data/electricity_demand_entsoe_raw.csv`
 
-Rule ``retrieve_electricity_demand_neso``
-=========================================
+## Rule `retrieve_electricity_demand_neso`
 
-This rule downloads hourly electric load data for the United Kingdom from the `NESO Data Portal <https://www.neso.energy/data-portal/historic-demand-data>`__.
+This rule downloads hourly electric load data for the United Kingdom from the [NESO Data Portal](https://www.neso.energy/data-portal/historic-demand-data).
 
 **Relevant Settings**
 
@@ -82,25 +70,24 @@ None.
 
 **Outputs**
 
-- ``data/electricity_demand_neso_raw.csv``
+- `data/electricity_demand_neso_raw.csv`
 
 
-Rule ``retrieve_cost_data``
-================================
+## Rule `retrieve_cost_data`
 
-This rule downloads techno-economic assumptions from the `technology-data repository <https://github.com/pypsa/technology-data>`__.
+This rule downloads techno-economic assumptions from the [technology-data repository](https://github.com/pypsa/technology-data).
 
 **Relevant Settings**
 
-.. code:: yaml
-
-    costs:
-        year:
+```yaml
+costs:
+    year:
+```
 
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`costs_cf`
+!!! seealso
+    Documentation of the configuration file `config/config.yaml` at
+    [costs_cf](configuration.md#costs_cf)
 
 **Outputs**
 
-- ``data/costs/primary/{version}/costs_{year}.csv``
\ No newline at end of file
+- `data/costs/primary/{version}/costs_{year}.csv`
diff --git a/doc/sector.md b/doc/sector.md
index dc1725f36b..ac7c050480 100644
--- a/doc/sector.md
+++ b/doc/sector.md
@@ -1,273 +1,220 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Building Sector-Coupled Networks
-##########################################
+# Building Sector-Coupled Networks
 
-The preparation process of the sector-coupled version of the PyPSA-Eur energy system model consists of a group of ``snakemake`` rules which are briefly outlined and explained in detail in the sections below.
+The preparation process of the sector-coupled version of the PyPSA-Eur energy system model consists of a group of `snakemake` rules which are briefly outlined and explained in detail in the sections below.
 
 Not all data dependencies are shipped with the git repository.
 Instead we provide separate data bundles which can be obtained
-using the ``retrieve*`` rules (:ref:`data`).
+using the `retrieve*` rules ([Retrieving Data](retrieve.md)).
 Having downloaded the necessary data,
 
-- :mod:`add_brownfield` builds and stores the base network with all buses, HVAC lines and HVDC links, while
+- [add_brownfield][] builds and stores the base network with all buses, HVAC lines and HVDC links, while
 
 
-Rule ``add_brownfield``
-==============================================================================
+## Rule `add_brownfield`
 
-.. automodule:: add_brownfield
+::: add_brownfield
 
-Rule ``add_existing_baseyear``
-==============================================================================
+## Rule `add_existing_baseyear`
 
-.. automodule:: add_existing_baseyear
+::: add_existing_baseyear
 
-Rule ``build_existing_heating_distribution``
-==============================================================================
+## Rule `build_existing_heating_distribution`
 
-.. automodule:: build_existing_heating_distribution
+::: build_existing_heating_distribution
 
 
-Rule ``build_ammonia_production``
-==============================================================================
+## Rule `build_ammonia_production`
 
-.. automodule:: build_ammonia_production
+::: build_ammonia_production
 
-Rule ``build_biomass_potentials``
-==============================================================================
+## Rule `build_biomass_potentials`
 
-.. automodule:: build_biomass_potentials
+::: build_biomass_potentials
 
-Rule ``build_egs_potentials``
-==============================================================================
+## Rule `build_egs_potentials`
 
-.. automodule:: build_egs_potentials
+::: build_egs_potentials
 
-Rule ``build_biomass_transport_costs``
-==============================================================================
+## Rule `build_biomass_transport_costs`
 
-.. automodule:: build_biomass_transport_costs
+::: build_biomass_transport_costs
 
-Rule ``build_clustered_population_layouts``
-==============================================================================
+## Rule `build_clustered_population_layouts`
 
-.. automodule:: build_clustered_population_layouts
+::: build_clustered_population_layouts
 
-Rule ``build_simplified_population_layouts``
-==============================================================================
+## Rule `build_simplified_population_layouts`
 
-.. automodule:: build_simplified_population_layouts
+<!-- ::: build_simplified_population_layouts (module not found) -->
 
-Rule ``build_clustered_solar_rooftop_potentials``
-==============================================================================
+## Rule `build_clustered_solar_rooftop_potentials`
 
-.. automodule:: build_clustered_solar_rooftop_potentials
+::: build_clustered_solar_rooftop_potentials
 
-Rule ``build_cop_profiles``
-==============================================================================
+## Rule `build_cop_profiles`
 
-.. automodule:: build_cop_profiles
+<!-- ::: build_cop_profiles (directory module, not importable) -->
 
-Rule ``build_direct_heat_source_utilisation_profiles``
-==============================================================================
+## Rule `build_direct_heat_source_utilisation_profiles`
 
-.. automodule:: build_direct_heat_source_utilisation_profiles
+::: build_direct_heat_source_utilisation_profiles
 
-Rule ``build_central_heating_temperature_profiles``
-==============================================================================
+## Rule `build_central_heating_temperature_profiles`
 
-.. automodule:: build_central_heating_temperature_profiles
+<!-- ::: build_central_heating_temperature_profiles (directory module, not importable) -->
 
-Rule ``build_geothermal_heat_potential``
-==============================================================================
+## Rule `build_geothermal_heat_potential`
 
-.. automodule:: build_geothermal_heat_potential
+::: build_geothermal_heat_potential
 
-Rule ``build_ates_potentials``
-==============================================================================
+## Rule `build_ates_potentials`
 
-.. automodule:: build_ates_potentials
+::: build_ates_potentials
 
-Rule ``build_dh_areas``
-==============================================================================
+## Rule `build_dh_areas`
 
-.. automodule:: build_dh_areas
+::: build_dh_areas
 
-Rule ``build_river_heat_potential``
-==============================================================================
+## Rule `build_river_heat_potential`
 
-.. automodule:: build_river_heat_potential
+<!-- ::: build_river_heat_potential (module not found) -->
 
-Rule ``build_sea_heat_potential``
-==============================================================================
+## Rule `build_sea_heat_potential`
 
-.. automodule:: build_sea_heat_potential
+<!-- ::: build_sea_heat_potential (module not found) -->
 
-Rule ``build_ptes_operations``
-==============================================================================
+## Rule `build_ptes_operations`
 
-.. automodule:: build_ptes_operations
+<!-- ::: build_ptes_operations (directory module, not importable) -->
 
-Rule ``build_tes_capacity_profiles``
-==============================================================================
+## Rule `build_tes_capacity_profiles`
 
-.. automodule:: build_tes_capacity_profiles
+<!-- ::: build_tes_capacity_profiles (module not found) -->
 
-Rule ``build_eurostat_balances``
-==============================================================================
+## Rule `build_eurostat_balances`
 
-.. automodule:: build_eurostat_balances
+::: build_eurostat_balances
 
-Rule ``build_energy_totals``
-==============================================================================
+## Rule `build_energy_totals`
 
-.. automodule:: build_energy_totals
+::: build_energy_totals
 
-Rule ``build_heat_totals``
-==============================================================================
+## Rule `build_heat_totals`
 
-.. automodule:: build_heat_totals
+::: build_heat_totals
 
-Rule ``build_gas_input_locations``
-==============================================================================
+## Rule `build_gas_input_locations`
 
-.. automodule:: build_gas_input_locations
+::: build_gas_input_locations
 
-Rule ``build_gas_network``
-==============================================================================
+## Rule `build_gas_network`
 
-.. automodule:: build_gas_network
+::: build_gas_network
 
-Rule ``build_daily_heat_demand``
-==============================================================================
+## Rule `build_daily_heat_demand`
 
-.. automodule:: build_daily_heat_demand
+::: build_daily_heat_demand
 
-Rule ``build_hourly_heat_demand``
-==============================================================================
+## Rule `build_hourly_heat_demand`
 
-.. automodule:: build_hourly_heat_demand
+::: build_hourly_heat_demand
 
-Rule ``build_district_heat_share``
-==============================================================================
+## Rule `build_district_heat_share`
 
-.. automodule:: build_district_heat_share
+::: build_district_heat_share
 
-Rule ``build_industrial_distribution_key``
-==============================================================================
+## Rule `build_industrial_distribution_key`
 
-.. automodule:: build_industrial_distribution_key
+::: build_industrial_distribution_key
 
-Rule ``build_industrial_energy_demand_per_country_today``
-==============================================================================
+## Rule `build_industrial_energy_demand_per_country_today`
 
-.. automodule:: build_industrial_energy_demand_per_country_today
+::: build_industrial_energy_demand_per_country_today
 
-Rule ``build_industrial_energy_demand_per_node_today``
-==============================================================================
+## Rule `build_industrial_energy_demand_per_node_today`
 
-.. automodule:: build_industrial_energy_demand_per_node_today
+::: build_industrial_energy_demand_per_node_today
 
-Rule ``build_industrial_energy_demand_per_node``
-==============================================================================
+## Rule `build_industrial_energy_demand_per_node`
 
-.. automodule:: build_industrial_energy_demand_per_node
+::: build_industrial_energy_demand_per_node
 
-Rule ``build_industrial_production_per_country_tomorrow``
-==============================================================================
+## Rule `build_industrial_production_per_country_tomorrow`
 
-.. automodule:: build_industrial_production_per_country_tomorrow
+::: build_industrial_production_per_country_tomorrow
 
-Rule ``build_industrial_production_per_country``
-==============================================================================
+## Rule `build_industrial_production_per_country`
 
-.. automodule:: build_industrial_production_per_country
+::: build_industrial_production_per_country
 
-Rule ``build_industrial_production_per_node``
-==============================================================================
+## Rule `build_industrial_production_per_node`
 
-.. automodule:: build_industrial_production_per_node
+::: build_industrial_production_per_node
 
-Rule ``build_industry_sector_ratios``
-==============================================================================
+## Rule `build_industry_sector_ratios`
 
-.. automodule:: build_industry_sector_ratios
+::: build_industry_sector_ratios
 
-Rule ``build_industry_sector_ratios_intermediate``
-==============================================================================
+## Rule `build_industry_sector_ratios_intermediate`
 
-.. automodule:: build_industry_sector_ratios_intermediate
+::: build_industry_sector_ratios_intermediate
 
-Rule ``build_population_layouts``
-==============================================================================
+## Rule `build_population_layouts`
 
-.. automodule:: build_population_layouts
+::: build_population_layouts
 
-Rule ``build_population_weighted_energy_totals``
-==============================================================================
+## Rule `build_population_weighted_energy_totals`
 
-.. automodule:: build_population_weighted_energy_totals
+::: build_population_weighted_energy_totals
 
-Rule ``build_retro_cost``
-==============================================================================
+## Rule `build_retro_cost`
 
-.. automodule:: build_retro_cost
+::: build_retro_cost
 
-Rule ``build_salt_cavern_potentials``
-==============================================================================
+## Rule `build_salt_cavern_potentials`
 
-.. automodule:: build_salt_cavern_potentials
+::: build_salt_cavern_potentials
 
-Rule ``build_co2_sequestration_potentials``
-==============================================================================
+## Rule `build_co2_sequestration_potentials`
 
-.. automodule:: build_co2_sequestration_potentials
+::: build_co2_sequestration_potentials
 
-Rule ``build_clustered_co2_sequestration_potentials``
-==============================================================================
+## Rule `build_clustered_co2_sequestration_potentials`
 
-.. automodule:: build_clustered_co2_sequestration_potentials
+::: build_clustered_co2_sequestration_potentials
 
-Rule ``build_shipping_demand``
-==============================================================================
+## Rule `build_shipping_demand`
 
-.. automodule:: build_shipping_demand
+::: build_shipping_demand
 
-Rule ``build_solar_thermal_profiles``
-==============================================================================
+## Rule `build_solar_thermal_profiles`
 
-.. automodule:: build_solar_thermal_profiles
+::: build_solar_thermal_profiles
 
-Rule ``build_temperature_profiles``
-==============================================================================
+## Rule `build_temperature_profiles`
 
-.. automodule:: build_temperature_profiles
+::: build_temperature_profiles
 
-Rule ``build_mobility_profiles``
-==============================================================================
+## Rule `build_mobility_profiles`
 
-.. automodule:: build_mobility_profiles
+::: build_mobility_profiles
 
-Rule ``build_transport_demand``
-==============================================================================
+## Rule `build_transport_demand`
 
-.. automodule:: build_transport_demand
+::: build_transport_demand
 
-Rule ``cluster_gas_network``
-==============================================================================
+## Rule `cluster_gas_network`
 
-.. automodule:: cluster_gas_network
+::: cluster_gas_network
 
-Rule ``time_aggregation``
-==============================================================================
+## Rule `time_aggregation`
 
-.. automodule:: time_aggregation
+::: time_aggregation
 
-Rule ``prepare_sector_network``
-==============================================================================
+## Rule `prepare_sector_network`
 
-.. automodule:: prepare_sector_network
+::: prepare_sector_network
diff --git a/doc/solving.md b/doc/solving.md
index 35d7f55c8e..bbdc47e228 100644
--- a/doc/solving.md
+++ b/doc/solving.md
@@ -1,32 +1,22 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Solving Networks
-##########################################
+# Solving Networks
 
 After generating and simplifying the networks they can be solved through the
-rule :mod:`solve_network`  by using the collection rules ``solve_elec_networks``
-or ``solve_sector_networks``. Moreover, networks can be solved for dispatch-only
-analyses on an already solved network with :mod:`solve_operations_network`.
+rule [solve_network][]  by using the collection rules `solve_elec_networks`
+or `solve_sector_networks`. Moreover, networks can be solved for dispatch-only
+analyses on an already solved network with [solve_operations_network][].
 
-.. _solve:
+## Rule `solve_network` {#solve}
 
-Rule ``solve_network``
-=========================
+::: solve_network
 
-.. automodule:: solve_network
+## Rule `solve_operations_network` {#solve_operations}
 
-.. _solve_operations:
+::: solve_operations_network
 
-Rule ``solve_operations_network``
-====================================
+## Rule `solve_sector_network`
 
-.. automodule:: solve_operations_network
-
-Rule ``solve_sector_network``
-=============================
-
-.. warning::
-   More comprehensive documentation for this rule will be released soon.
+!!! warning
+    More comprehensive documentation for this rule will be released soon.
diff --git a/doc/spatial_resolution.md b/doc/spatial_resolution.md
index 6d5be817a6..df29eba486 100644
--- a/doc/spatial_resolution.md
+++ b/doc/spatial_resolution.md
@@ -1,53 +1,49 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _spatial_resolution:
+# Spatial resolution {#spatial_resolution}
 
-##########################################
-Spatial resolution
-##########################################
+The default nodal resolution of the model follows the electricity generation and transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur), which clusters down the electricity transmission substations in each European country based on the k-means algorithm (See [cluster_network](https://pypsa-eur.readthedocs.io/en/latest/simplification/cluster_network.html#rule-cluster-network) for a complete explanation). This gives nodes which correspond to major load and generation centres (typically cities).
 
-The default nodal resolution of the model follows the electricity generation and transmission model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__, which clusters down the electricity transmission substations in each European country based on the k-means algorithm (See `cluster_network <https://pypsa-eur.readthedocs.io/en/latest/simplification/cluster_network.html#rule-cluster-network>`__ for a complete explanation). This gives nodes which correspond to major load and generation centres (typically cities).
-
-The total number of nodes for Europe is set in the ``config/config.yaml`` file under ``clusters``. The number of nodes can vary between 37, the number of independent countries / synchronous areas, and several hundred. With 200-300 nodes the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
+The total number of nodes for Europe is set in the `config/config.yaml` file under `clusters`. The number of nodes can vary between 37, the number of independent countries / synchronous areas, and several hundred. With 200-300 nodes the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
 
 Exemplary unsolved network clustered to 512 nodes:
 
-.. image:: img/elec_s_512.png
+![Exemplary unsolved network clustered to 512 nodes](img/base_s_512.png)
 
 Exemplary unsolved network clustered to 37 nodes:
 
-.. image:: img/elec_s_37.png
+![Exemplary unsolved network clustered to 37 nodes](img/base_s_37.png)
 
-The total number of nodes for Europe is set in the ``config/config.yaml`` file under `clusters <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L20>`__.  The number of nodes can vary between 37, the number of independent countries/synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
+The total number of nodes for Europe is set in the `config/config.yaml` file under [clusters](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L20).  The number of nodes can vary between 37, the number of independent countries/synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
 Not all of the sectors are at the full nodal resolution, and some demand for some sectors is distributed to nodes using heuristics that need to be corrected. Some networks are copper-plated to reduce computational times.
 
 Here are some examples of how spatial resolution is set for different sectors in PyPSA-Eur-Sec:
 
-•	Electricity network: Modeled as nodal.
+- **Electricity network:** Modeled as nodal.
+
+- **Electricity residential and commercial demand:** Modeled as nodal, distributed in each country based on population and GDP.
 
-•	Electricity residential and commercial demand: Modeled as nodal, distributed in each country based on population and GDP.
+- **Electricity distribution network:** Not included in the model, but a link per node can be used to represent energy transferred between distribution and transmission levels (explained more in detail below).
 
-•	Electricity distribution network: Not included in the model, but a link per node can be used to represent energy transferred between distribution and transmission levels (explained more in detail below).
+- **Residential and commercial building heating demand:** Modeled as nodal, distributed in each country based on population.
 
-•	Residential and commercial building heating demand: Modeled as nodal, distributed in each country based on population.
+- **Electricity demand in industry:** Modeled as nodal, based on the location of industrial facilities from HotMaps database.
 
-•	Electricity demand in industry: Modeled as nodal, based on the location of industrial facilities from HotMaps database.
+- **Industry demand (heat, chemicals, etc.):** Modeled as nodal, distributed in each country based on locations of industry from HotMaps database.
 
-•	Industry demand (heat, chemicals, etc.) : Modeled as nodal, distributed in each country based on locations of industry from HotMaps database.
-•	Hydrogen network: Modeled as nodal (if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L260>`__ file).
+- **Hydrogen network:** Modeled as nodal (if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L260) file).
 
-•	Methane network: It can be modeled as a single node for Europe or it can be nodally resolved if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266>`__. One node can be considered reasonable since future demand is expected to be low and no bottlenecks are expected. Also, the nodally resolved methane grid is based on SciGRID_gas data.
+- **Methane network:** It can be modeled as a single node for Europe or it can be nodally resolved if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266). One node can be considered reasonable since future demand is expected to be low and no bottlenecks are expected. Also, the nodally resolved methane grid is based on SciGRID_gas data.
 
-•	Solid biomass: It can be modeled as a single node for Europe or it can be nodally resolved if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270>`__. Nodal modeling includes modeling biomass potential per country (given per country, then distributed by population density within) and the transport of solid biomass between countries.
+- **Solid biomass:** It can be modeled as a single node for Europe or it can be nodally resolved if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270). Nodal modeling includes modeling biomass potential per country (given per country, then distributed by population density within) and the transport of solid biomass between countries.
 
-•	CO2: It can be modeled as a single node for Europe or it can be nodally resolved with CO2 transport pipelines if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248>`__. It should mentioned that in single node mode a transport and storage cost is added for sequestered CO2, the cost of which can be adjusted in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247>`__.
+- **CO2:** It can be modeled as a single node for Europe or it can be nodally resolved with CO2 transport pipelines if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248). It should mentioned that in single node mode a transport and storage cost is added for sequestered CO2, the cost of which can be adjusted in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247).
 
-•	Carbonaceous fuels: Modeled as a single node for Europe by default, since transport costs for liquids are low and no bottlenecks are expected. Can be regionally resolved in configuration.
+- **Carbonaceous fuels:** Modeled as a single node for Europe by default, since transport costs for liquids are low and no bottlenecks are expected. Can be regionally resolved in configuration.
 
 **Electricity distribution network**
 
-Contrary to the transmission grid, the grid topology at the distribution level (at and below 110 kV) is not included due to the very high computational burden. However, a link per node can be used (if activated in the `Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L257>`__ file) to represent energy transferred between distribution and transmission levels at every node. In essence, the total energy capacity connecting the transmission grid and the low-voltage level is optimized. The cost assumptions for this link can be adjusted in Config file `options <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L258>`__ , and is currently assumed to be 500 Eur/kW.
+Contrary to the transmission grid, the grid topology at the distribution level (at and below 110 kV) is not included due to the very high computational burden. However, a link per node can be used (if activated in the [Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L257) file) to represent energy transferred between distribution and transmission levels at every node. In essence, the total energy capacity connecting the transmission grid and the low-voltage level is optimized. The cost assumptions for this link can be adjusted in Config file [options](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L258), and is currently assumed to be 500 Eur/kW.
 
 Rooftop PV, heat pumps, resistive heater, home batteries chargers for passenger EVs, as well as individual heating technologies (heat pumps and resistive heaters)  are connected to low-voltage level. All the remaining generation and storage technologies are connected to the transmission grid. In practice, this means that the distribution grid capacity is only extended if it is necessary to balance the mismatch between local generation and demand.
diff --git a/doc/supply_demand.md b/doc/supply_demand.md
index 02823d5170..ba6d365e1f 100644
--- a/doc/supply_demand.md
+++ b/doc/supply_demand.md
@@ -1,63 +1,54 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Supply and demand
-##########################################
+# Supply and demand
 
 An initial orientation to the supply and demand options in the model
 PyPSA-Eur-Sec can be found in the description of the model
-PyPSA-Eur-Sec-30 in the paper `Synergies of sector coupling and
+PyPSA-Eur-Sec-30 in the paper [Synergies of sector coupling and
 transmission reinforcement in a cost-optimised, highly renewable
-European energy system <https://arxiv.org/abs/1801.05290>`__ (2018).
+European energy system](https://arxiv.org/abs/1801.05290) (2018).
 The latest version of PyPSA-Eur-Sec differs by including biomass,
 industry, industrial feedstocks, aviation, shipping, better carbon
 management, carbon capture and usage/sequestration, and gas networks.
 
 The basic supply (left column) and demand (right column) options in the model are described in this figure:
 
-.. image:: img/multisector_figure.png
+![](img/multisector_figure.png)
 
-.. _Electricity supply and demand:
-
-Electricity supply and demand
-=============================
+## Electricity supply and demand {#electricity-supply-and-demand}
 
 Electricity supply and demand follows the electricity generation and
-transmission model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__,
+transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur),
 except that hydrogen storage is integrated into the hydrogen supply,
 demand and network, and PyPSA-Eur-Sec includes CHPs.
 
 Unlike PyPSA-Eur, PyPSA-Eur-Sec does not distribution electricity demand for industry according to population and GDP, but uses the
-geographical data from the `Hotmaps Industrial Database
-<https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database>`__.
+geographical data from the [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database).
 
 Also unlike PyPSA-Eur, PyPSA-Eur-Sec subtracts existing electrified heating from the existing electricity demand, so that power-to-heat can be optimised separately.
 
 The remaining electricity demand for households and services is distributed inside each country proportional to GDP and population.
 
-.. _Heat demand:
-
-Heat demand
-===========
+## Heat demand {#heat-demand}
 
-Building heating in residential and services sectors is resolved regionally, both for individual buildings and district heating systems, which include different supply options (see :ref:`heat-supply`.)
-Annual heat demands per country are retrieved from `JRC-IDEES  <https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en>`__ and split into space and water heating. For space heating, the annual demands are converted to daily values based on the population-weighted Heating Degree Day (HDD) using the `atlite tool <https://github.com/PyPSA/atlite>`__, where space heat demand is proportional to the difference between the daily average ambient temperature (read from `ERA5 <https://doi.org/10.1002/qj.3803>`__) and a threshold temperature above which space heat demand is zero. A threshold temperature of 15 °C is assumed by default. The daily space heat demand is distributed to the hours of the day following heat demand profiles from `BDEW <https://github.com/oemof/demandlib>`__. These differ for weekdays and weekends/holidays and between residential and services demand.
+Building heating in residential and services sectors is resolved regionally, both for individual buildings and district heating systems, which include different supply options (see [Heat supply](#heat-supply).)
+Annual heat demands per country are retrieved from [JRC-IDEES](https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en) and split into space and water heating. For space heating, the annual demands are converted to daily values based on the population-weighted Heating Degree Day (HDD) using the [atlite tool](https://github.com/PyPSA/atlite), where space heat demand is proportional to the difference between the daily average ambient temperature (read from [ERA5](https://doi.org/10.1002/qj.3803)) and a threshold temperature above which space heat demand is zero. A threshold temperature of 15 degrees C is assumed by default. The daily space heat demand is distributed to the hours of the day following heat demand profiles from [BDEW](https://github.com/oemof/demandlib). These differ for weekdays and weekends/holidays and between residential and services demand.
 
 *Space heating*
 
-The space heating demand can be exogenously reduced by retrofitting measures that improve the buildings’ thermal envelopes.
+The space heating demand can be exogenously reduced by retrofitting measures that improve the buildings' thermal envelopes.
 
-.. literalinclude:: ../config/config.default.yaml
-    :language: yaml
-    :lines: 205
+```yaml
+{{ yaml_section("sector.reduce_space_heat_exogenously", "sector.reduce_space_heat_exogenously_factor") }}
+```
 
-Co-optimsing of building renovation is also possible, if it is activated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222>`__.
+Co-optimsing of building renovation is also possible, if it is activated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222).
 Renovation of the thermal envelope reduces the space heating demand and is optimised at each node for every heat bus. Renovation measures through additional insulation material and replacement of energy inefficient windows are considered.
-In a first step, costs per energy savings are estimated in `build_retro_cost.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_retro_cost.py>`__. They depend on the insulation condition of the building stock and costs for renovation of the building elements. In a second step, for those cost per energy savings two possible renovation strengths are determined: a moderate renovation with lower costs, a lower maximum possible space heat savings, and an ambitious renovation with associated higher costs and higher efficiency gains. They are added by step-wise linearisation in form of two additional generations in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`__.
+In a first step, costs per energy savings are estimated in [build_retro_cost.py](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_retro_cost.py). They depend on the insulation condition of the building stock and costs for renovation of the building elements. In a second step, for those cost per energy savings two possible renovation strengths are determined: a moderate renovation with lower costs, a lower maximum possible space heat savings, and an ambitious renovation with associated higher costs and higher efficiency gains. They are added by step-wise linearisation in form of two additional generations in [prepare_sector_network.py](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py).
 Further information are given in the publication :
-`Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)  <https://arxiv.org/abs/2012.01831>`__.
+[Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)](https://arxiv.org/abs/2012.01831).
 
 *Water heating*
 
@@ -65,17 +56,17 @@ Hot water demand is assumed to be constant throughout the year.
 
 *Urban and rural heating*
 
-For every country, heat demand is split between low and high population density areas. These country-level totals are then distributed to each region in proportion to their rural and urban populations respectively. Urban areas with dense heat demand can be supplied with large-scale district heating systems. The percentage of urban heat demand that can be supplied by district heating networks as well as lump-sum losses in district heating systems is exogenously determined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L153>`__.
+For every country, heat demand is split between low and high population density areas. These country-level totals are then distributed to each region in proportion to their rural and urban populations respectively. Urban areas with dense heat demand can be supplied with large-scale district heating systems. The percentage of urban heat demand that can be supplied by district heating networks as well as lump-sum losses in district heating systems is exogenously determined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L153).
 
 *Cooling demand*
 
 Cooling is electrified and is included in the electricity demand. Cooling demand is assumed to remain at current levels.  An example of regional distribution of the total heat demand for network 181 regions is depicted below.
 
-.. image:: img/demand-map-heat.png
+![](img/demand-map-heat.png)
 
 As below figure shows, the current total heat demand in Europe is similar to the total electricity demand but features much more pronounced seasonal variations. The current total building heating demand in Europe adds up to 3084 TWh/a of which 78% occurs in urban areas.
 
-.. image:: img/Heat_and_el_demand_timeseries.png
+![](img/Heat_and_el_demand_timeseries.png)
 
 In practice, in PyPSA-Eur-Sec, there are heat demand buses to which the corresponding heat demands are added.
 
@@ -86,98 +77,90 @@ In practice, in PyPSA-Eur-Sec, there are heat demand buses to which the correspo
 4)	Residential rural heat: heating for residential buildings in rural areas with low population density.
 5)	Services rural heat: heating for residential services buildings in rural areas with low population density. Heat demand from agriculture  sector is also included here.
 
-.. _heat-supply:
-
-Heat supply
-=======================
+## Heat supply {#heat-supply}
 
 Different supply options are available depending on whether demand is met centrally through district heating systems, or decentrally through appliances in individual buildings.
 
 **Urban central heat**
 
-For large-scale district heating systems the following options are available: combined heat and power (CHP) plants consuming gas or biomass from waste and residues with and without carbon capture (CC), large-scale air-sourced heat pumps, gas and oil boilers, resistive heaters, and fuel cell CHPs. Additionally, waste heat from the `Fischer-Tropsch <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__  and `Sabatier <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L240>`__ processes for the production of synthetic hydrocarbons can supply district heating systems. For more detailed explanation of these processes, see :ref:`Oil-based products supply` and :ref:`Methane supply`.
+For large-scale district heating systems the following options are available: combined heat and power (CHP) plants consuming gas or biomass from waste and residues with and without carbon capture (CC), large-scale air-sourced heat pumps, gas and oil boilers, resistive heaters, and fuel cell CHPs. Additionally, waste heat from the [Fischer-Tropsch](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255)  and [Sabatier](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L240) processes for the production of synthetic hydrocarbons can supply district heating systems. For more detailed explanation of these processes, see [Oil-based products supply](#oil-based-products-supply) and [Methane supply](#methane-supply).
 
 **Residential and Urban decentral heat**
 
 Supply options in individual buildings include gas and oil boilers, air- and ground-sourced heat pumps, resistive heaters, and solar thermal collectors.
-Ground-source heat pumps are only allowed in rural areas because of space constraints. Thus, only air- source heat pumps are allowed in urban areas. This is a conservative assumption, since there are many possible sources of low-temperature heat that could be tapped in cities (e.g. waste water, ground water, or natural bodies of water). Costs, lifetimes and efficiencies for these technologies are retrieved from the `technology-data repository <https://github.com/PyPSA/technology-data>`__.
+Ground-source heat pumps are only allowed in rural areas because of space constraints. Thus, only air- source heat pumps are allowed in urban areas. This is a conservative assumption, since there are many possible sources of low-temperature heat that could be tapped in cities (e.g. waste water, ground water, or natural bodies of water). Costs, lifetimes and efficiencies for these technologies are retrieved from the [technology-data repository](https://github.com/PyPSA/technology-data).
 
-Below are more detailed explanations for each heating supply component, all of which are modelled as `links <https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#link>`__ in PyPSA-Eur-Sec.
+Below are more detailed explanations for each heating supply component, all of which are modelled as [links](https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#link) in PyPSA-Eur-Sec.
 
-.. _Large-scale CHP:
+### Large-scale CHP {#large-scale-chp}
 
-**Large-scale CHP**
+Large Combined Heat and Power plants are included in the model if it is specified in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L235).
 
-Large Combined Heat and Power plants are included in the model if it is specified in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L235>`__.
-
-CHPs are based on back pressure plants operating with a fixed ratio of electricity to heat output. The efficiencies of each are given on the back pressure line, where the back pressure coefficient cb is the electricity output divided by the heat output. (For a more complete explanation of the operation of CHPs refer to the study by Dahl et al. : `Cost sensitivity of optimal sector-coupled district heating production systems <https://arxiv.org/pdf/1804.07557.pdf>`__.
+CHPs are based on back pressure plants operating with a fixed ratio of electricity to heat output. The efficiencies of each are given on the back pressure line, where the back pressure coefficient cb is the electricity output divided by the heat output. (For a more complete explanation of the operation of CHPs refer to the study by Dahl et al. : [Cost sensitivity of optimal sector-coupled district heating production systems](https://arxiv.org/pdf/1804.07557.pdf).
 
 PyPSA-Eur-Sec includes CHP plants fueled by methane and solid biomass from waste and residues. Hydrogen fuel cells also produce both electricity and heat.
 
-The methane CHP is modeled on the Danish Energy Agency (DEA) “Gas turbine simple cycle (large)” while the solid biomass CHP is based on the DEA’s “09b Wood Pellets Medium”. For biomass CHP, cb = `0.46 <https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=156>`__ , whereas for gas CHP, cb = `1 <https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=64>`__.
+The methane CHP is modeled on the Danish Energy Agency (DEA) "Gas turbine simple cycle (large)" while the solid biomass CHP is based on the DEA's "09b Wood Pellets Medium". For biomass CHP, cb = [0.46](https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=156) , whereas for gas CHP, cb = [1](https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=64).
 
-NB: The old PyPSA-Eur-Sec-30 model assumed an extraction plant (like the DEA coal CHP) for gas which has flexible production of heat and electricity within the feasibility diagram of Figure 4 in the study by `Brown et al. <https://arxiv.org/abs/1801.05290>`__ We have switched to the DEA back pressure plants since these are more common for smaller plants for biomass, and because the extraction plants were on the back pressure line for 99.5% of the time anyway. The plants were all changed to back pressure in PyPSA-Eur-Sec v0.4.0.
+NB: The old PyPSA-Eur-Sec-30 model assumed an extraction plant (like the DEA coal CHP) for gas which has flexible production of heat and electricity within the feasibility diagram of Figure 4 in the study by [Brown et al.](https://arxiv.org/abs/1801.05290) We have switched to the DEA back pressure plants since these are more common for smaller plants for biomass, and because the extraction plants were on the back pressure line for 99.5% of the time anyway. The plants were all changed to back pressure in PyPSA-Eur-Sec v0.4.0.
 
 **Micro-CHP**
 
-PyPSA-Eur-Sec allows individual buildings to make use of `micro gas CHPs <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L236>`__ that are assumed to be installed at the distribution grid level.
+PyPSA-Eur-Sec allows individual buildings to make use of [micro gas CHPs](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L236) that are assumed to be installed at the distribution grid level.
 
 **Heat pumps**
 
-The coefficient of performance (COP) of air- and ground-sourced heat pumps depends on the ambient or soil temperature respectively. Hence, the COP is a time-varying parameter (refer to `Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L206>`__ file). Generally, the COP will be lower during winter when temperatures are low. Because the ambient temperature is more volatile than the soil temperature, the COP of ground-sourced heat pumps is less variable. Moreover, the COP depends on the difference between the source and sink temperatures:
+The coefficient of performance (COP) of air- and ground-sourced heat pumps depends on the ambient or soil temperature respectively. Hence, the COP is a time-varying parameter (refer to [Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L206) file). Generally, the COP will be lower during winter when temperatures are low. Because the ambient temperature is more volatile than the soil temperature, the COP of ground-sourced heat pumps is less variable. Moreover, the COP depends on the difference between the source and sink temperatures:
 
-.. math::
-	\Delta T = T_{sink} − T_{source}
+$$\Delta T = T_{sink} - T_{source}$$
 
-For the sink water temperature Tsink we assume 55 °C [`Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L207>`__ file]. For the time- and location-dependent source temperatures Tsource, we rely on the `ERA5 <https://doi.org/10.1002/qj.3803>`__ reanalysis weather data. The temperature differences are converted into COP time series using results from a regression analysis performed in the study by `Stafell et al. <https://pubs.rsc.org/en/content/articlelanding/2012/EE/c2ee22653g>`__. For air-sourced heat pumps (ASHP), we use the function:
+For the sink water temperature Tsink we assume 55 degrees C ([Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L207) file). For the time- and location-dependent source temperatures Tsource, we rely on the [ERA5](https://doi.org/10.1002/qj.3803) reanalysis weather data. The temperature differences are converted into COP time series using results from a regression analysis performed in the study by [Stafell et al.](https://pubs.rsc.org/en/content/articlelanding/2012/EE/c2ee22653g). For air-sourced heat pumps (ASHP), we use the function:
 
-.. math::
-   COP (\Delta T) = 6.81 - 0.121\Delta T + 0.000630\Delta T^2
+$$COP (\Delta T) = 6.81 - 0.121\Delta T + 0.000630\Delta T^2$$
 
 for ground-sourced heat pumps (GSHP), we use the function:
 
-.. math::
-   COP(\Delta T) = 8.77 - 0.150\Delta T + 0.000734\Delta T^2
+$$COP(\Delta T) = 8.77 - 0.150\Delta T + 0.000734\Delta T^2$$
 
 **Resistive heaters**
 
-Can be activated in Config from the `boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232>`__ option.
-Resistive heaters produce heat with a fixed conversion efficiency (refer to `Technology-data repository <https://github.com/PyPSA/technology-data>`__ ).
+Can be activated in Config from the [boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232) option.
+Resistive heaters produce heat with a fixed conversion efficiency (refer to [Technology-data repository](https://github.com/PyPSA/technology-data) ).
 
 **Gas, oil, and biomass boilers**
 
-Can be activated in Config from the `boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232>`__ , `oil boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L233>`__ , and `biomass boiler <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L234>`__ option.
+Can be activated in Config from the [boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232) , [oil boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L233) , and [biomass boiler](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L234) option.
 Similar to resistive heaters, boilers have a fixed efficiency and produce heat using gas, oil or biomass.
 
 **Solar thermal collectors**
 
-Can be activated in the config file from the `solar_thermal <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L237>`__ option.
-Solar thermal profiles are built based on weather data and also have the `options <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L134>`__ for setting the sky model and the orientation of the panel in the config file, which are then used by the atlite tool to calculate the solar resource time series.
+Can be activated in the config file from the [solar_thermal](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L237) option.
+Solar thermal profiles are built based on weather data and also have the [options](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L134) for setting the sky model and the orientation of the panel in the config file, which are then used by the atlite tool to calculate the solar resource time series.
 
 **Waste heat from Fuel Cells, Methanation and Fischer-Tropsch plants**
 
-Waste heat from `fuel cells <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256>`__ in addition to processes like `Fischer-Tropsch <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__, methanation, and Direct Air Capture (DAC) is dumped into  district heating networks.
+Waste heat from [fuel cells](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256) in addition to processes like [Fischer-Tropsch](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255), methanation, and Direct Air Capture (DAC) is dumped into  district heating networks.
 
 **Existing heating capacities and decommissioning**
 
-For the myopic transition paths, capacities already existing for technologies supplying heat are retrieved from `“Mapping and analyses of the current and future (2020 - 2030)” <https://ec.europa.eu/energy/en/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment>`__ . For the sake of simplicity, coal, oil and gas boiler capacities are assimilated to gas boilers. Besides that, existing capacities for heat resistors, air-sourced and ground-sourced heat pumps are included in the model. For heating capacities, 25% of existing capacities in 2015 are assumed to be decommissioned in every 5-year time step after 2020.
+For the myopic transition paths, capacities already existing for technologies supplying heat are retrieved from ["Mapping and analyses of the current and future (2020 - 2030)"](https://ec.europa.eu/energy/en/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment) . For the sake of simplicity, coal, oil and gas boiler capacities are assimilated to gas boilers. Besides that, existing capacities for heat resistors, air-sourced and ground-sourced heat pumps are included in the model. For heating capacities, 25% of existing capacities in 2015 are assumed to be decommissioned in every 5-year time step after 2020.
 
 **Thermal Energy Storage**
 
-Activated in Config from the `tes <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L228>`__ option.
+Activated in Config from the [tes](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L228) option.
 
-Thermal energy can be stored in large water pits associated with district heating systems and individual thermal energy storage (TES), i.e., small water tanks. Water tanks are modelled as `stores <https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#store,  which are connected to heat demand buses through water charger/discharger links>`__.
-A thermal energy density of 46.8 kWh :math:`_{th}`/m3 is assumed, corresponding to a temperature difference of 40 K. The decay of thermal energy in the stores: 1- :math:`e^{-1/24τ}` is assumed to have a time constant  of  τ=180 days for central TES and  τ=3 days for individual TES, both modifiable through `tes_tau <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L229>`__ in config file. Charging and discharging efficiencies are 90% due to pipe losses.
+Thermal energy can be stored in large water pits associated with district heating systems and individual thermal energy storage (TES), i.e., small water tanks. Water tanks are modelled as [stores](https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#store), which are connected to heat demand buses through water charger/discharger links.
+A thermal energy density of 46.8 kWh $_{th}$/m3 is assumed, corresponding to a temperature difference of 40 K. The decay of thermal energy in the stores: 1- $e^{-1/24\tau}$ is assumed to have a time constant  of  $\tau$=180 days for central TES and  $\tau$=3 days for individual TES, both modifiable through [tes_tau](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L229) in config file. Charging and discharging efficiencies are 90% due to pipe losses.
 
 **Residential Heat Demand-Side Management (DSM)**
 
-Can be activated in the `config file <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__ through the ``residential_heat: dsm`` option (default: false).
+Can be activated in the [config file](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml) through the `residential_heat: dsm` option (default: false).
 
 Residential heat demand-side management allows electric heating systems to provide flexibility to the energy system by shifting heat demand within configurable time windows while maintaining thermal comfort. This feature models the thermal mass of buildings as an energy storage capability, enabling residential electric heating to operate more flexibly in response to electricity price signals and renewable generation variability.
 
 *Implementation approach*
 
-The implementation is based on the `smartEn/DNV methodology <https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf>`__ (see Appendix A, Section 1.1.2.5 "Residential electric heating" and page 17 Section 3.6) for quantifying demand-side flexibility benefits from residential heat pumps in the European energy system. The study estimates 195.5 TWh of annual flexibility potential for EU27 heat pumps using 12-hour load shifting constraints. Building thermal mass is represented as energy stores connected to residential heat buses, with time-varying availability constraints that enforce consumption requirements within defined periods.
+The implementation is based on the [smartEn/DNV methodology](https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf) (see Appendix A, Section 1.1.2.5 "Residential electric heating" and page 17 Section 3.6) for quantifying demand-side flexibility benefits from residential heat pumps in the European energy system. The study estimates 195.5 TWh of annual flexibility potential for EU27 heat pumps using 12-hour load shifting constraints. Building thermal mass is represented as energy stores connected to residential heat buses, with time-varying availability constraints that enforce consumption requirements within defined periods.
 
 *Time windows and constraints*
 
@@ -186,11 +169,11 @@ Heat demand can be shifted within configurable time periods to avoid buildings a
 - **Day period**: 10am (10:00) to 10pm (22:00)
 - **Night period**: 10pm (22:00) to 10am (10:00)
 
-At the boundaries between these periods (configured via `residential_heat_restriction_time <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__, default: [10, 22] corresponding to 10am and 10pm local time of each country/bus), the thermal storage state of charge must return to its baseline level. The implementation automatically adjusts these checkpoint hours to each country's local timezone, ensuring consistent behavioral patterns across different regions. This ensures that heat consumption requirements are met within each time window while allowing temporal load shifting for demand response. Users can adjust the checkpoint hours to create different period lengths as needed.
+At the boundaries between these periods (configured via [residential_heat_restriction_time](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml), default: [10, 22] corresponding to 10am and 10pm local time of each country/bus), the thermal storage state of charge must return to its baseline level. The implementation automatically adjusts these checkpoint hours to each country's local timezone, ensuring consistent behavioral patterns across different regions. This ensures that heat consumption requirements are met within each time window while allowing temporal load shifting for demand response. Users can adjust the checkpoint hours to create different period lengths as needed.
 
 *Storage capacity and flexibility magnitude*
 
-The flexibility storage capacity is sized based on the maximum residential space heating demand at each node. The actual available flexibility is constrained by the `residential_heat_restriction_value <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__ parameter, which sets the maximum state of charge as a fraction of the storage capacity.
+The flexibility storage capacity is sized based on the maximum residential space heating demand at each node. The actual available flexibility is constrained by the [residential_heat_restriction_value](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml) parameter, which sets the maximum state of charge as a fraction of the storage capacity.
 
 For instance, a value of 0.27 would represent a conservative assumption for the thermal buffer capacity available in residential buildings, balancing flexibility potential against thermal comfort constraints. This parameter is user-configurable and can be adjusted based on specific assumptions about building thermal mass, insulation quality, and acceptable temperature variations. Setting it to 0 disables heat flexibility, while values closer to 1.0 allow greater load shifting (though this may require stronger assumptions about building characteristics and occupant comfort tolerance).
 
@@ -222,34 +205,34 @@ The feature is particularly valuable in scenarios with high renewable penetratio
 
 *Configuration example*
 
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :lines: 564-566
+```yaml
+{{ yaml_section("biomass.share_unsustainable_use_retained") }}
+```
 
 *References*
 
-The methodology follows the approach proposed by Y. Akhmetov *et al.* (2025) in `"Flattening the peak demand curve through energy efficient buildings: A holistic approach towards net-zero carbon" <https://www.sciencedirect.com/science/article/pii/S0306261925001515>`__, and builds upon assumptions from smartEn and DNV (2022), `"Demand-side flexibility in the EU: Quantification of benefits in 2030"`.
+The methodology follows the approach proposed by Y. Akhmetov *et al.* (2025) in ["Flattening the peak demand curve through energy efficient buildings: A holistic approach towards net-zero carbon"](https://www.sciencedirect.com/science/article/pii/S0306261925001515), and builds upon assumptions from smartEn and DNV (2022), "Demand-side flexibility in the EU: Quantification of benefits in 2030".
 
 In this framework, heat pumps are assumed to provide flexibility to the energy system within daily operational constraints, represented by two time windows: from 9 am to 9 pm, and 9 pm to 9 am. These time windows are parametrizable, allowing sensitivity analyses of different flexibility periods.
 
-The potential for heat demand shifting is derived from the projected roll-out of heat pumps, as outlined in the European Commissions *Impact Assessment Report on the Heat Pump Action Plan* (`see page 55, Fig. 44 <https://eur-lex.europa.eu/resource.html?uri=cellar:6c154426-c5a6-11ee-95d9-01aa75ed71a1.0001.02/DOC_3&format=PDF>`__). The projected number of installed heat pumps is translated into the share of electrified households capable of participating in demand-side management (DSM).
+The potential for heat demand shifting is derived from the projected roll-out of heat pumps, as outlined in the European Commissions *Impact Assessment Report on the Heat Pump Action Plan* ([see page 55, Fig. 44](https://eur-lex.europa.eu/resource.html?uri=cellar:6c154426-c5a6-11ee-95d9-01aa75ed71a1.0001.02/DOC_3&format=PDF)). The projected number of installed heat pumps is translated into the share of electrified households capable of participating in demand-side management (DSM).
 
 For example, a projected **58 million heat pumps** in 2030 corresponds to:
 
-``58 million / 202 million households in the EU ≈ 28 %``
+`58 million / 202 million households in the EU = 28 %`
 
 Thus, approximately 28 % of EU households are assumed to contribute to the residential DSM potential by 2030.
 
 **Retrofitting of the thermal envelope of buildings**
 
-Co-optimising building renovation is only enabled if in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222>`__ file. To reduce the computational burden,
+Co-optimising building renovation is only enabled if in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222) file. To reduce the computational burden,
 default setting is set as false.
 
 Renovation of the thermal envelope reduces the space heating demand and is
 optimised at each node for every heat bus. Renovation measures through additional
 insulation material and replacement of energy inefficient windows are considered.
 
-In a first step, costs per energy savings are estimated in the `build_retro_cost.py <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_retro_cost.py>`__ script.
+In a first step, costs per energy savings are estimated in the [build_retro_cost.py](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_retro_cost.py) script.
 They depend on the insulation condition of the building stock and costs for
 renovation of the building elements.
 In a second step, for those cost per energy savings two possible renovation
@@ -257,78 +240,59 @@ strengths are determined: a moderate renovation with lower costs and lower
 maximum possible space heat savings, and an ambitious renovation with associated
 higher costs and higher efficiency gains. They are added by step-wise
 linearisation in form of two additional generations in
-the  `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1600>`__  script.
-
-Settings in the ``config/config.yaml`` concerning the endogenously optimisation of building
-renovation include `cost factor <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L223>`__, `interest rate <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L224>`__, `annualised cost <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L225>`__, `tax weighting <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L226>`__, and `construction index <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L227>`__.
+the  [prepare_sector_network.py](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1600)  script.
 
-Further information are given in the study by Zeyen et al. : `Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021) <https://arxiv.org/abs/2012.01831>`__.
+Settings in the `config/config.yaml` concerning the endogenously optimisation of building
+renovation include [cost factor](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L223), [interest rate](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L224), [annualised cost](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L225), [tax weighting](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L226), and [construction index](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L227).
 
-.. _Hydrogen demand:
+Further information are given in the study by Zeyen et al. : [Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)](https://arxiv.org/abs/2012.01831).
 
-Hydrogen demand
-=============================
+## Hydrogen demand {#hydrogen-demand}
 
-Hydrogen is consumed in the industry sector (see :ref:`Industry demand`) to produce ammonia (see :ref:`Chemicals Industry`) and direct reduced iron (DRI) (see :ref:`Iron and Steel`). Hydrogen is also consumed to produce synthetic methane (see :ref:`Methane supply`) and liquid hydrocarbons (see :ref:`Oil-based products supply`) which have multiple uses in industry and other sectors.
-Hydrogen is also used for transport applications (see :ref:`Transportation`), where it is exogenously fixed. It is used in `heavy-duty land transport <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181>`__ and as liquified hydrogen in the shipping sector (see :ref:`Shipping`). Furthermore, stationary fuel cells may re-electrify hydrogen (with waste heat as a byproduct) to balance renewable fluctuations (see :ref:`Electricity supply and demand`). The waste heat from the stationary fuel cells can be used in `district-heating systems <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256>`__.
+Hydrogen is consumed in the industry sector (see [Industry demand](#industry-demand)) to produce ammonia (see [Chemicals Industry](#chemicals-industry)) and direct reduced iron (DRI) (see [Iron and Steel](#iron-and-steel)). Hydrogen is also consumed to produce synthetic methane (see [Methane supply](#methane-supply)) and liquid hydrocarbons (see [Oil-based products supply](#oil-based-products-supply)) which have multiple uses in industry and other sectors.
+Hydrogen is also used for transport applications (see [Transportation](#transportation)), where it is exogenously fixed. It is used in [heavy-duty land transport](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181) and as liquified hydrogen in the shipping sector (see [Shipping](#shipping)). Furthermore, stationary fuel cells may re-electrify hydrogen (with waste heat as a byproduct) to balance renewable fluctuations (see [Electricity supply and demand](#electricity-supply-and-demand)). The waste heat from the stationary fuel cells can be used in [district-heating systems](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256).
 
-.. _Hydrogen supply:
+## Hydrogen supply {#hydrogen-supply}
 
-Hydrogen supply
-=============================
+Today, most of the $H_2$ consumed globally is produced from natural gas by steam methane reforming (SMR)
 
-Today, most of the :math:`H_2` consumed globally is produced from natural gas by steam methane reforming (SMR)
-
-.. math::
-
-   CH_4 + H_2O \xrightarrow{} CO + 3H_2
+$$CH_4 + H_2O \xrightarrow{} CO + 3H_2$$
 
 combined with a water-gas shift reaction
 
-.. math::
+$$CO + H_2O \xrightarrow{} CO_2 + H_2$$
 
-   CO + H_2O \xrightarrow{} CO_2 + H_2
 
-
-SMR is included `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L245>`__.
-PyPSA-Eur-Sec allows this route of :math:`H_2` production with and without [carbon capture (CC)] (see :ref:`Carbon dioxide capture, usage and sequestration (CCU/S)`). These routes are often referred to as blue and grey hydrogen. Here, methane input can be both of fossil or synthetic origin.
+SMR is included [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L245).
+PyPSA-Eur-Sec allows this route of $H_2$ production with and without [carbon capture (CC)] (see [Carbon dioxide capture, usage and sequestration (CCU/S)](#carbon-dioxide-capture-usage-and-sequestration-ccus)). These routes are often referred to as blue and grey hydrogen. Here, methane input can be both of fossil or synthetic origin.
 
 Green hydrogen can be produced by electrolysis to split water into hydrogen and oxygen
 
-.. math::
-
-   2H_2O \xrightarrow{} 2H_2 + O_2
+$$2H_2O \xrightarrow{} 2H_2 + O_2$$
 
 
 For the electrolysis, alkaline electrolysers are chosen since they have lower cost and higher cumulative installed capacity than polymer electrolyte membrane (PEM) electrolysers. The techno-economic assumptions are taken from the technology-data repository. Waste heat from electrolysis is not leveraged in the model.
 
 **Transport**
 
-Hydrogen is transported by pipelines. :math:`H_2` pipelines are endogenously generated, either via a  greenfield :math:`H_2` network, or by `retrofitting natural gas pipelines <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L262>`__). Retrofitting is implemented in such a way that for every unit of decommissioned gas pipeline, a share (60% is used in the study by  `Neumann et al. <https://arxiv.org/abs/2207.05816>`__) of its nominal capacity (exogenously determined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266>`__.) is available for hydrogen transport. When the gas network is not resolved, this input denotes the potential for gas pipelines repurposed into hydrogen pipelines.
+Hydrogen is transported by pipelines. $H_2$ pipelines are endogenously generated, either via a  greenfield $H_2$ network, or by [retrofitting natural gas pipelines](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L262)). Retrofitting is implemented in such a way that for every unit of decommissioned gas pipeline, a share (60% is used in the study by  [Neumann et al.](https://arxiv.org/abs/2207.05816)) of its nominal capacity (exogenously determined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266).) is available for hydrogen transport. When the gas network is not resolved, this input denotes the potential for gas pipelines repurposed into hydrogen pipelines.
 New pipelines can be built additionally on all routes where there currently is a gas or electricity network connection. These new pipelines will be built where no sufficient retrofitting options are available. The capacities of new and repurposed pipelines are a result of the optimisation.
 
 **Storage**
 
-Hydrogen can be stored in overground steel tanks or `underground salt caverns <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L250>`__. For the latter, energy storage capacities in every country are limited to the potential estimation for onshore salt caverns within `50 km <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L251>`__ of shore to avoid environmental issues associated with brine solution disposal. Underground storage potentials for hydrogen in European salt caverns is acquired from `Caglayan et al. <https://doi.org/10.1016/j.ijhydene.2019.12.161>`__
+Hydrogen can be stored in overground steel tanks or [underground salt caverns](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L250). For the latter, energy storage capacities in every country are limited to the potential estimation for onshore salt caverns within [50 km](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L251) of shore to avoid environmental issues associated with brine solution disposal. Underground storage potentials for hydrogen in European salt caverns is acquired from [Caglayan et al.](https://doi.org/10.1016/j.ijhydene.2019.12.161)
 
-.. _Methane demand:
+## Methane demand {#methane-demand}
 
-Methane demand
-====================================
+Methane is used in individual and large-scale gas boilers, in CHP plants with and without carbon capture, in OCGT and CCGT power plants, and in some industry subsectors for the provision of high temperature heat (see [Industry demand](#industry-demand)). Methane is not used in the transport sector because of engine slippage.
 
-Methane is used in individual and large-scale gas boilers, in CHP plants with and without carbon capture, in OCGT and CCGT power plants, and in some industry subsectors for the provision of high temperature heat (see :ref:`Industry demand`). Methane is not used in the transport sector because of engine slippage.
+## Methane supply {#methane-supply}
 
-.. _Methane supply:
-
-Methane supply
-===================================
-
-In addition to methane from fossil origins, the model also considers biogenic and synthetic sources. `The gas network can either be modelled, or it can be assumed that gas transport is not limited <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261>`__. If gas infrastructure is regionally resolved, fossil gas can enter the system only at existing and planned LNG terminals, pipeline entry-points, and intra- European gas extraction sites, which are retrieved from the SciGRID Gas IGGIELGN dataset and the GEM Wiki.
+In addition to methane from fossil origins, the model also considers biogenic and synthetic sources. [The gas network can either be modelled, or it can be assumed that gas transport is not limited](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261). If gas infrastructure is regionally resolved, fossil gas can enter the system only at existing and planned LNG terminals, pipeline entry-points, and intra- European gas extraction sites, which are retrieved from the SciGRID Gas IGGIELGN dataset and the GEM Wiki.
 Biogas can be upgraded to methane.
-Synthetic methane can be produced by processing hydrogen and captures :math:`CO_2` in the Sabatier reaction
+Synthetic methane can be produced by processing hydrogen and captures $CO_2$ in the Sabatier reaction
 
-.. math::
-   CO_2 + 4H_2 \xrightarrow{} CH_4 + 2H_2O
+$$CO_2 + 4H_2 \xrightarrow{} CH_4 + 2H_2O$$
 
 
 Direct power-to-methane conversion with efficient heat integration developed in the HELMETH project is also an option. The share of synthetic, biogenic and fossil methane is an optimisation result depending on the techno-economic assumptions.
@@ -339,204 +303,167 @@ The existing European gas transmission network is represented based on the SciGR
 
 The following figure shows the unclustered European gas transmission network based on the SciGRID Gas IGGIELGN dataset. Pipelines are color-coded by estimated capacities. Markers indicate entry-points, sites of fossil resource extraction, and LNG terminals.
 
-.. image:: img/gas_pipeline_figure.png
+![](img/gas_pipeline_figure.png)
 
-.. _Biomass supply:
+## Biomass Supply {#biomass-supply}
 
-Biomass Supply
-=====================
-Biomass supply potentials for each European country are taken from the `JRC ENSPRESO database <http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ where data is available for various years (2010, 2020, 2030, 2040 and 2050) and scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found `here <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__.
+Biomass supply potentials for each European country are taken from the [JRC ENSPRESO database](http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f) where data is available for various years (2010, 2020, 2030, 2040 and 2050) and scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found [here](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626).
 
-.. _Biomass demand:
+## Biomass demand {#biomass-demand}
 
-Biomass demand
-=====================
 
+Biomass supply potentials for every NUTS2 region are taken from the [JRC ENSPRESO database](http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f) where data is available for various years (2010, 2020, 2030, 2040 and 2050) and different availability scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found [here](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626). The data for NUTS2 regions is mapped to PyPSA-Eur-Sec model regions in proportion to the area overlap.
 
-Biomass supply potentials for every NUTS2 region are taken from the `JRC ENSPRESO database <http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ where data is available for various years (2010, 2020, 2030, 2040 and 2050) and different availability scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found `here <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__. The data for NUTS2 regions is mapped to PyPSA-Eur-Sec model regions in proportion to the area overlap.
 
+The desired scenario can be selected in the PyPSA-Eur-Sec [configuration](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108). The script for building the biomass potentials from the JRC ENSPRESO data base is located [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_potentials.py#L43). Consult the script to see the keywords that specify the scenario options.
 
-The desired scenario can be selected in the PyPSA-Eur-Sec `configuration <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108>`__. The script for building the biomass potentials from the JRC ENSPRESO data base is located `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_potentials.py#L43>`__. Consult the script to see the keywords that specify the scenario options.
 
-
-The `configuration <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108>`__ also allows the user to define how the various types of biomass are used in the model by using the following categories: biogas, solid biomass, and not included. Feedstocks categorized as biogas, typically manure and sludge waste, are available to the model as biogas, which can be upgraded to biomethane. Feedstocks categorized as solid biomass, e.g. secondary forest residues or municipal waste, are available for combustion in combined-heat-and power (CHP) plants and for medium temperature heat (below 500 °C) applications in industry. It can also converted to gas or liquid fuels.
+The [configuration](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108) also allows the user to define how the various types of biomass are used in the model by using the following categories: biogas, solid biomass, and not included. Feedstocks categorized as biogas, typically manure and sludge waste, are available to the model as biogas, which can be upgraded to biomethane. Feedstocks categorized as solid biomass, e.g. secondary forest residues or municipal waste, are available for combustion in combined-heat-and power (CHP) plants and for medium temperature heat (below 500 degrees C) applications in industry. It can also converted to gas or liquid fuels.
 
 
 Feedstocks labeled as not included are ignored by the model.
 
 
-A `typical use case for biomass <https://arxiv.org/abs/2109.09563>`__ would be the medium availability scenario for 2030 where only residues from agriculture and forestry as well as biodegradable municipal waste are considered as energy feedstocks. Fuel crops are avoided because they compete with scarce land for food production, while primary wood, as well as wood chips and pellets, are avoided because of concerns about sustainability. See the supporting materials of the `paper <https://www.sciencedirect.com/science/article/pii/S1364032117302034>`__ for more details.
+A [typical use case for biomass](https://arxiv.org/abs/2109.09563) would be the medium availability scenario for 2030 where only residues from agriculture and forestry as well as biodegradable municipal waste are considered as energy feedstocks. Fuel crops are avoided because they compete with scarce land for food production, while primary wood, as well as wood chips and pellets, are avoided because of concerns about sustainability. See the supporting materials of the [paper](https://www.sciencedirect.com/science/article/pii/S1364032117302034) for more details.
 
 
 *Solid biomass conversion and use*
 
-Solid biomass can be used directly to provide process heat up to 500˚C in the industry. It can also be burned in CHP plants and boilers associated with heating systems. These technologies are described elsewhere (see :ref:`Large-scale CHP` and :ref:`Industry demand`).
+Solid biomass can be used directly to provide process heat up to 500 degrees C in the industry. It can also be burned in CHP plants and boilers associated with heating systems. These technologies are described elsewhere (see [Large-scale CHP](#large-scale-chp) and [Industry demand](#industry-demand)).
 
 
-Solid biomass can be converted to syngas if the option is enabled in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L274>`__. In this case the model will enable the technology BioSNG both with and without the option for carbon capture (see `Technology-data repository <https://github.com/PyPSA/technology-data>`__).
+Solid biomass can be converted to syngas if the option is enabled in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L274). In this case the model will enable the technology BioSNG both with and without the option for carbon capture (see [Technology-data repository](https://github.com/PyPSA/technology-data)).
 
 
-Liquefaction of solid biomass `can be enabled <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L273>`__ allowing the model to convert it into liquid hydrocarbons that can replace conventional oil products. This technology also comes with and without carbon capture (see `Technology-data repository <https://github.com/PyPSA/technology-data>`__).
+Liquefaction of solid biomass [can be enabled](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L273) allowing the model to convert it into liquid hydrocarbons that can replace conventional oil products. This technology also comes with and without carbon capture (see [Technology-data repository](https://github.com/PyPSA/technology-data)).
 
 
 *Transport of solid biomass*
 
-The transport of solid biomass can either be assumed unlimited between countries or it can be associated with a country specific cost per MWh/km. In the config file these options are toggled `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270>`__. If the option is off, use of solid biomass is transport. If it is turned on, a biomass transport network will be `created <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1803>`__ between all nodes. This network resembles road transport of biomass and the cost of transportation is a variable cost which is proportional to distance and a country specific cost per MWh/km. The latter is `estimated <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_transport_costs.py>`__ from the country specific costs per ton/km used in the publication `“The JRC-EU-TIMES model. Bioenergy potentials for EU and neighbouring countries” <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__.
+The transport of solid biomass can either be assumed unlimited between countries or it can be associated with a country specific cost per MWh/km. In the config file these options are toggled [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270). If the option is off, use of solid biomass is transport. If it is turned on, a biomass transport network will be [created](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1803) between all nodes. This network resembles road transport of biomass and the cost of transportation is a variable cost which is proportional to distance and a country specific cost per MWh/km. The latter is [estimated](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_transport_costs.py) from the country specific costs per ton/km used in the publication ["The JRC-EU-TIMES model. Bioenergy potentials for EU and neighbouring countries"](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626).
 
 *Biogas transport and use*
 
-Biogas will be aggregated into a common European resources if a gas network is not modelled explicitly, i.e., the `gas_network <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261>`__ option is set to false. If, on the other hand, a gas network is included, the biogas potential will be associated with each node of origin.
-The model can only use biogas by first upgrading it to natural gas quality [see :ref:`Methane supply`] (bio methane) which is fed into the general gas network.
-
-.. _Oil-based products demand:
+Biogas will be aggregated into a common European resources if a gas network is not modelled explicitly, i.e., the [gas_network](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261) option is set to false. If, on the other hand, a gas network is included, the biogas potential will be associated with each node of origin.
+The model can only use biogas by first upgrading it to natural gas quality (see [Methane supply](#methane-supply)) (bio methane) which is fed into the general gas network.
 
+## Oil-based products demand {#oil-based-products-demand}
 
-Oil-based products demand
-=========================
+Naphtha is used as a feedstock in the chemicals industry (see [Chemicals Industry](#chemicals-industry)). Furthermore, kerosene is used as transport fuel in the aviation sector (see [Aviation](#aviation)). Non-electrified agriculture machinery also consumes gasoline.
+Land transport (see [Land transport](#land-transport))  that is not electrified or converted into using $H_2$-fuel cells also consumes oil-based products. While there is regional distribution of demand, the carrier is copperplated in the model, which means that transport costs and constraints are neglected.
 
-Naphtha is used as a feedstock in the chemicals industry (see :ref:`Chemicals Industry`). Furthermore, kerosene is used as transport fuel in the aviation sector (see :ref:`Aviation`). Non-electrified agriculture machinery also consumes gasoline.
-Land transport [(see :ref:`Land transport`)  that is not electrified or converted into using :math:`H_2`-fuel cells also consumes oil-based products. While there is regional distribution of demand, the carrier is copperplated in the model, which means that transport costs and constraints are neglected.
+## Oil-based products supply {#oil-based-products-supply}
 
-.. _Oil-based products supply:
+Oil-based products can be either of fossil origin or synthetically produced by combining $H_2$ (see [Hydrogen supply](#hydrogen-supply)) and captured $CO_2$ (see [Carbon dioxide capture, usage and sequestration (CCU/S)](#carbon-dioxide-capture-usage-and-sequestration-ccus)) in Fischer-Tropsch plants
 
-Oil-based products supply
-=========================
+$$nCO+(2n+1)H_2 \rightarrow C_{n}H_{2n + 2}  +nH_2O$$
 
-Oil-based products can be either of fossil origin or synthetically produced by combining :math:`H_2` (see :ref:`Hydrogen supply`) and captured :math:`CO_2` (see :ref:`Carbon dioxide capture, usage and sequestration (CCU/S)`) in Fischer-Tropsch plants
 
-.. math::
-   𝑛CO+(2𝑛+1)H_2 → C_{n}H_{2n + 2}  +𝑛H_2O
-
-
-with costs as included from the `technology-data repository <https://github.com/PyPSA/technology-data/blob/master/latex_tables/tables_in_latex.pdf>`__. The waste heat from the Fischer-Tropsch process is supplied to `district heating networks <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__. The share of fossil and synthetic oil is an optimisation result depending on the techno-economic assumptions.
+with costs as included from the [technology-data repository](https://github.com/PyPSA/technology-data/blob/master/latex_tables/tables_in_latex.pdf). The waste heat from the Fischer-Tropsch process is supplied to [district heating networks](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255). The share of fossil and synthetic oil is an optimisation result depending on the techno-economic assumptions.
 
 
 *Oil-based transport*
 
 Liquid hydrocarbons are assumed to be transported freely among the model region since future demand is predicted to be low, transport costs for liquids are low and no bottlenecks are expected.
 
-.. _Industry demand:
-
-Industry demand
-================
+## Industry demand {#industry-demand}
 
 Industry demand is split into a dozen different sectors with specific energy demands, process
 emissions of carbon dioxide, as well as existing and prospective mitigation strategies.
 
-The Subsection overview below provides a general description of the modelling approach for the industry sector. The following subsections describe the current energy demands, available mitigation strategies, and whether mitigation is exogenously fixed or co-optimised with the other components of the model for each industry subsector in more detail. See details for Iron and Steel (see :ref:`Iron and Steel`), Chemicals Industry and Ammonia (see :ref:`Chemicals Industry`), Non-metallic Mineral products , Non-ferrous Metals , and other Industry Subsectors.
-
-.. _Overview:
+The Subsection overview below provides a general description of the modelling approach for the industry sector. The following subsections describe the current energy demands, available mitigation strategies, and whether mitigation is exogenously fixed or co-optimised with the other components of the model for each industry subsector in more detail. See details for Iron and Steel (see [Iron and Steel](#iron-and-steel)), Chemicals Industry and Ammonia (see [Chemicals Industry](#chemicals-industry)), Non-metallic Mineral products , Non-ferrous Metals , and other Industry Subsectors.
 
-**Overview**
+### Overview {#overview}
 
-Greenhouse gas emissions associated with industry can be classified into energy-related and process-related emissions. Today, fossil fuels are used for process heat energy in the chemicals industry, but also as a non-energy feedstock for chemicals like ammonia ( :math:`NH_3`), ethylene ( :math:`C_2H_4`) and methanol ( :math:`CH_3OH`). Energy-related emissions can be curbed by using low-emission energy sources. The only option to reduce process-related emissions is by using an alternative manufacturing process or by assuming a certain rate of recycling so that a lower amount of virgin material is needed.
+Greenhouse gas emissions associated with industry can be classified into energy-related and process-related emissions. Today, fossil fuels are used for process heat energy in the chemicals industry, but also as a non-energy feedstock for chemicals like ammonia ( $NH_3$), ethylene ( $C_2H_4$) and methanol ( $CH_3OH$). Energy-related emissions can be curbed by using low-emission energy sources. The only option to reduce process-related emissions is by using an alternative manufacturing process or by assuming a certain rate of recycling so that a lower amount of virgin material is needed.
 
-The overarching modelling procedure can be described as follows. First, the energy demands and process emissions for every unit of material output are estimated based on data from the `JRC-IDEES database <https://data.europa.eu/doi/10.2760/182725>`__ and the fuel and process switching described in the subsequent sections. Second, the 2050 energy demands and process emissions are calculated using the per-unit-of-material ratios based on the industry transformations and the `country-level material production in 2015 <https://data.europa.eu/doi/10.2760/182725>`__, assuming constant material demand.
+The overarching modelling procedure can be described as follows. First, the energy demands and process emissions for every unit of material output are estimated based on data from the [JRC-IDEES database](https://data.europa.eu/doi/10.2760/182725) and the fuel and process switching described in the subsequent sections. Second, the 2050 energy demands and process emissions are calculated using the per-unit-of-material ratios based on the industry transformations and the [country-level material production in 2015](https://data.europa.eu/doi/10.2760/182725), assuming constant material demand.
 
-Missing or too coarsely aggregated data in the JRC-IDEES database is supplemented with additional datasets: `Eurostat energy balances <https://ec.europa.eu/eurostat/web/energy/data/energy-balances>`__, `United States <https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx>`__,  `Geological Survey <https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx>`__ for ammonia production, `DECHEMA <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf>`__ for methanol and chlorine, and `national statistics from Switzerland <https://www.bfe.admin.ch/bfe/de/home/versorgung/statistik-und-geodaten/energiestatistiken.html>`__.
+Missing or too coarsely aggregated data in the JRC-IDEES database is supplemented with additional datasets: [Eurostat energy balances](https://ec.europa.eu/eurostat/web/energy/data/energy-balances), [United States](https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx),  [Geological Survey](https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx) for ammonia production, [DECHEMA](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) for methanol and chlorine, and [national statistics from Switzerland](https://www.bfe.admin.ch/bfe/de/home/versorgung/statistik-und-geodaten/energiestatistiken.html).
 
 
-Where there are fossil and electrified alternatives for the same process (e.g. in glass manufacture or drying), we assume that the process is completely electrified. Current electricity demands (lighting, air compressors, motor drives, fans, pumps) will remain electric. Processes that require temperatures below 500 °C are supplied with solid biomass, since we assume that residues and wastes are not suitable for high-temperature applications. We see solid biomass use primarily in the pulp and paper industry, where it is already widespread, and in food, beverages and tobacco, where it replaces natural gas. Industries which require high temperatures (above 500 °C), such as metals, chemicals and non-metallic minerals are either electrified where suitable processes already exist, or the heat is provided with synthetic methane.
+Where there are fossil and electrified alternatives for the same process (e.g. in glass manufacture or drying), we assume that the process is completely electrified. Current electricity demands (lighting, air compressors, motor drives, fans, pumps) will remain electric. Processes that require temperatures below 500 degrees C are supplied with solid biomass, since we assume that residues and wastes are not suitable for high-temperature applications. We see solid biomass use primarily in the pulp and paper industry, where it is already widespread, and in food, beverages and tobacco, where it replaces natural gas. Industries which require high temperatures (above 500 degrees C), such as metals, chemicals and non-metallic minerals are either electrified where suitable processes already exist, or the heat is provided with synthetic methane.
 
 Hydrogen for high-temperature process heat is not part of the model currently.
 
-Where process heat is required, our approach depends on the necessary temperature. For example, due to the high share of high-temperature process heat demand  (see `Naegler et al. <https://doi.org/10.1002/er.3436>`__ and `Rehfeldt el al. <https://link.springer.com/article/10.1007/s12053-017-9571-y>`__), we disregard geothermal and solar thermal energy as sources for process heat since they cannot attain high-temperature heat.
+Where process heat is required, our approach depends on the necessary temperature. For example, due to the high share of high-temperature process heat demand  (see [Naegler et al.](https://doi.org/10.1002/er.3436) and [Rehfeldt el al.](https://link.springer.com/article/10.1007/s12053-017-9571-y)), we disregard geothermal and solar thermal energy as sources for process heat since they cannot attain high-temperature heat.
 
-The following figure shows the final consumption of energy and non-energy feedstocks in industry today in comparison to the scenario in 2050 assumed in `Neumann et al <https://arxiv.org/abs/2207.05816>`__.
+The following figure shows the final consumption of energy and non-energy feedstocks in industry today in comparison to the scenario in 2050 assumed in [Neumann et al](https://arxiv.org/abs/2207.05816).
 
-.. image:: img/fec_industry_today_tomorrow.png
+![](img/fec_industry_today_tomorrow.png)
 
 
 The following figure shows the process emissions in industry today (top bar) and in 2050 without
-carbon capture (bottom bar) assumed in `Neumann et al <https://arxiv.org/abs/2207.05816>`__.
+carbon capture (bottom bar) assumed in [Neumann et al](https://arxiv.org/abs/2207.05816).
 
 
 
 
-.. image:: img/process-emissions.png
+![](img/process-emissions.png)
 
 
-Inside each country the industrial demand is then distributed using the `Hotmaps Industrial Database <https://zenodo.org/records/4687147#.YvOaxhxBy5c>`__, which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
+Inside each country the industrial demand is then distributed using the [Hotmaps Industrial Database](https://zenodo.org/records/4687147#.YvOaxhxBy5c), which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
 
-.. image:: img/hotmaps.png
+![](img/hotmaps.png)
 
 
-.. _Iron and Steel:
+### Iron and Steel {#iron-and-steel}
 
-**Iron and Steel**
-
-Two alternative routes are used today to manufacture steel in Europe. The primary route (integrated steelworks) represents 60% of steel production, while the secondary route (electric arc furnaces, EAF), represents the other 40% `(Lechtenböhmer et. al) <https://doi.org/10.1016/j.energy.2016.07.110>`__.
+Two alternative routes are used today to manufacture steel in Europe. The primary route (integrated steelworks) represents 60% of steel production, while the secondary route (electric arc furnaces, EAF), represents the other 40% [(Lechtenboehmer et. al)](https://doi.org/10.1016/j.energy.2016.07.110).
 
 The primary route uses blast furnaces in which coke is used to reduce iron ore into molten iron, which is then converted into steel:
 
-.. math::
-   CO_2 + C \xrightarrow{} 2 CO
-
-
-.. math::
-   3 Fe_2O_3 + CO  \xrightarrow{} 2 Fe_3O_4 + CO
-
-
-.. math::
-   Fe_3O_4 + CO  \xrightarrow{} 3 FeO + CO_2
+$$CO_2 + C \xrightarrow{} 2 CO$$
 
+$$3 Fe_2O_3 + CO  \xrightarrow{} 2 Fe_3O_4 + CO$$
 
-.. math::
-   FeO + CO  \xrightarrow{} Fe + CO_2
+$$Fe_3O_4 + CO  \xrightarrow{} 3 FeO + CO_2$$
 
+$$FeO + CO  \xrightarrow{} Fe + CO_2$$
 
-The primary route of steelmaking implies large process emissions of 0.22 t :math:`_{CO_2}` /t of steel, amounting to 7% of global greenhouse gas emissions `(Vogl et. al) <https://doi.org/10.1016/j.joule.2021.09.007>`__.
+The primary route of steelmaking implies large process emissions of 0.22 t $_{CO_2}$ /t of steel, amounting to 7% of global greenhouse gas emissions [(Vogl et. al)](https://doi.org/10.1016/j.joule.2021.09.007).
 
-In the secondary route, electric arc furnaces are used to melt scrap metal. This limits the :math:`CO_2` emissions to the burning of graphite electrodes `(Friedrichsen et. al) <https://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for>`__, and reduces process emissions to 0.03 t :math:`_{CO_2}` /t of steel.
+In the secondary route, electric arc furnaces are used to melt scrap metal. This limits the $CO_2$ emissions to the burning of graphite electrodes [(Friedrichsen et. al)](https://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for), and reduces process emissions to 0.03 t $_{CO_2}$ /t of steel.
 
 We assume that the primary route can be replaced by a third route in 2050, using direct reduced iron (DRI) and subsequent processing in an EAF.
 
-.. math::
-   3 Fe_2O_3 + H_2 \xrightarrow{} 2 Fe_3O_4 + H_2O
-
-
-.. math::
-   Fe_3O_4 +H_2  \xrightarrow{} 3FeO+H_2O
-
-
-.. math::
-   FeO + H_2  \xrightarrow{} Fe + H_2O
+$$3 Fe_2O_3 + H_2 \xrightarrow{} 2 Fe_3O_4 + H_2O$$
 
+$$Fe_3O_4 +H_2  \xrightarrow{} 3FeO+H_2O$$
 
-This circumvents the process emissions associated with the use of coke. For hydrogen- based DRI, we assume energy requirements of 1.7 MWh :math:`_{H_2}` /t steel `(Vogl et. al) <https://doi.org/10.1016/j.jclepro.2018.08.279>`__ and 0.322 MWh :math:`_{el}`/t steel `(HYBRIT 2016) <https://dh5k8ug1gwbyz.cloudfront.net/uploads/2021/02/Hybrit-broschure-engelska.pdf>`__.
+$$FeO + H_2  \xrightarrow{} Fe + H_2O$$
 
+This circumvents the process emissions associated with the use of coke. For hydrogen- based DRI, we assume energy requirements of 1.7 MWh $_{H_2}$ /t steel [(Vogl et. al)](https://doi.org/10.1016/j.jclepro.2018.08.279) and 0.322 MWh $_{el}$/t steel [(HYBRIT 2016)](https://dh5k8ug1gwbyz.cloudfront.net/uploads/2021/02/Hybrit-broschure-engelska.pdf).
 
-The share of steel produced via the primary route is exogenously set in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L279>`__. The share of steel obtained via hydrogen-based DRI plus EAF is also set exogenously in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L287>`__. The remaining share is manufactured through the secondary route using scrap metal in EAF. Bioenergy as alternative to coke in blast furnaces is not considered in the model (`Mandova et.al <https://doi.org/10.1016/j.biombioe.2018.04.021>`__, `Suopajärvi et.al <https://doi.org/10.1016/j.apenergy.2018.01.060>`__).
 
-For the remaining subprocesses in this sector, the following transformations are assumed. Methane is used as energy source for the smelting process. Activities associated with furnaces, refining and rolling, and product finishing are electrified assuming the current efficiency values for these cases. These transformations result in changes in process emissions as outlined in the process emissions figure presented in the industry overview section (see :ref:`Overview`).
+The share of steel produced via the primary route is exogenously set in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L279). The share of steel obtained via hydrogen-based DRI plus EAF is also set exogenously in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L287). The remaining share is manufactured through the secondary route using scrap metal in EAF. Bioenergy as alternative to coke in blast furnaces is not considered in the model ([Mandova et.al](https://doi.org/10.1016/j.biombioe.2018.04.021), [Suopajaervi et.al](https://doi.org/10.1016/j.apenergy.2018.01.060)).
 
-.. _Chemicals Industry:
+For the remaining subprocesses in this sector, the following transformations are assumed. Methane is used as energy source for the smelting process. Activities associated with furnaces, refining and rolling, and product finishing are electrified assuming the current efficiency values for these cases. These transformations result in changes in process emissions as outlined in the process emissions figure presented in the industry overview section (see [Overview](#overview)).
 
-**Chemicals Industry**
+### Chemicals Industry {#chemicals-industry}
 
 The chemicals industry includes a wide range of diverse industries, including the production of basic organic compounds (olefins, alcohols, aromatics), basic inorganic compounds (ammonia, chlorine), polymers (plastics), and end-user products (cosmetics, pharmaceutics).
 
-The chemicals industry consumes large amounts of fossil-fuel based feedstocks (see `Levi et. al <https://pubs.acs.org/doi/10.1021/acs.est.7b04573>`__), which can also be produced from renewables as outlined for hydrogen (see :ref:`Hydrogen supply`), for methane (see :ref:`Methane supply`), and for oil-based products (see :ref:`Oil-based products supply`). The ratio between synthetic and fossil-based fuels used in the industry is an endogenous result of the optimisation.
+The chemicals industry consumes large amounts of fossil-fuel based feedstocks (see [Levi et. al](https://pubs.acs.org/doi/10.1021/acs.est.7b04573)), which can also be produced from renewables as outlined for hydrogen (see [Hydrogen supply](#hydrogen-supply)), for methane (see [Methane supply](#methane-supply)), and for oil-based products (see [Oil-based products supply](#oil-based-products-supply)). The ratio between synthetic and fossil-based fuels used in the industry is an endogenous result of the optimisation.
 
-The basic chemicals consumption data from the `JRC IDEES  <https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en>`__ database comprises high- value chemicals (ethylene, propylene and BTX), chlorine, methanol and ammonia. However, it is necessary to separate out these chemicals because their current and future production routes are different.
+The basic chemicals consumption data from the [JRC IDEES](https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en) database comprises high- value chemicals (ethylene, propylene and BTX), chlorine, methanol and ammonia. However, it is necessary to separate out these chemicals because their current and future production routes are different.
 
-Statistics for the production of ammonia, which is commonly used as a fertilizer, are taken from the `USGS <https://www.usgs.gov/media/files/nitrogen-2017-xlsx>`__ for every country. Ammonia can be made from hydrogen and nitrogen using the Haber-Bosch process.
+Statistics for the production of ammonia, which is commonly used as a fertilizer, are taken from the [USGS](https://www.usgs.gov/media/files/nitrogen-2017-xlsx) for every country. Ammonia can be made from hydrogen and nitrogen using the Haber-Bosch process.
 
-.. math::
-   N_2 + 3H_2 \xrightarrow{}  2NH_3
+$$N_2 + 3H_2 \xrightarrow{}  2NH_3$$
 
 
 
-The Haber-Bosch process is not explicitly represented in the model, such that demand for ammonia enters the model as a demand for hydrogen ( 6.5 MWh :math:`_{H_2}` / t :math:`_{NH_3}` ) and electricity ( 1.17 MWh :math:`_{el}` /t :math:`_{NH_3}` ) (see `Wang et. al <https://doi.org/10.1016/j.joule.2018.04.017>`__). Today, natural gas dominates in Europe as the source for the hydrogen used in the Haber-Bosch process, but the model can choose among the various hydrogen supply options described in the hydrogen section (see :ref:`Hydrogen supply`)
+The Haber-Bosch process is not explicitly represented in the model, such that demand for ammonia enters the model as a demand for hydrogen ( 6.5 MWh $_{H_2}$ / t $_{NH_3}$ ) and electricity ( 1.17 MWh $_{el}$ /t $_{NH_3}$ ) (see [Wang et. al](https://doi.org/10.1016/j.joule.2018.04.017)). Today, natural gas dominates in Europe as the source for the hydrogen used in the Haber-Bosch process, but the model can choose among the various hydrogen supply options described in the hydrogen section (see [Hydrogen supply](#hydrogen-supply))
 
-The total production and specific energy consumption of chlorine and methanol is taken from a `DECHEMA report <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf>`__. According to this source, the production of chlorine amounts to 9.58 MtCl/a, which is assumed to require electricity at 3.6 MWh :math:`_{el}`/t of chlorine and yield hydrogen at 0.937 MWh :math:`_{H_2}`/t of chlorine in the chloralkali process. The production of methanol adds up to 1.5 MtMeOH/a. Low-carbon methanol production (or methanolisation) by hydrogenation of :math:`CO_2` requires hydrogen at 6.299 MWh :math:`_{H_2}`/t of methanol, carbon dioxide at 1.373 t :math:`_{CO_2}`/t of methanol and electricity at 1.5 MWh :math:`_{el}`/t of methanol. The energy content of methanol is 5.528 MWh :math:`_{MeOH}`/t of methanol. These values are set exogenously in the config file.
+The total production and specific energy consumption of chlorine and methanol is taken from a [DECHEMA report](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf). According to this source, the production of chlorine amounts to 9.58 MtCl/a, which is assumed to require electricity at 3.6 MWh $_{el}$/t of chlorine and yield hydrogen at 0.937 MWh $_{H_2}$/t of chlorine in the chloralkali process. The production of methanol adds up to 1.5 MtMeOH/a. Low-carbon methanol production (or methanolisation) by hydrogenation of $CO_2$ requires hydrogen at 6.299 MWh $_{H_2}$/t of methanol, carbon dioxide at 1.373 t $_{CO_2}$/t of methanol and electricity at 1.5 MWh $_{el}$/t of methanol. The energy content of methanol is 5.528 MWh $_{MeOH}$/t of methanol. These values are set exogenously in the config file.
 
-The production of ammonia, methanol, and chlorine production is deducted from the JRC IDEES basic chemicals, leaving the production totals of high-value chemicals. For this, we assume that the liquid hydrocarbon feedstock comes from synthetic or fossil- origin naphtha (14 MWh :math:`_{naphtha}`/t of HVC, similar to `Lechtenböhmer et al <https://doi.org/10.1016/j.energy.2016.07.110>`__), ignoring the methanol-to-olefin route. Furthermore, we assume the following transformations of the energy-consuming processes in the production of plastics: the final energy consumption in steam processing is converted to methane since requires temperature above 500 °C (4.1 MWh :math:`_{CH_4}` /t of HVC, see `Rehfeldt et al. <https://doi.org/10.1007/s12053-017-9571-y>`__); and the remaining processes are electrified using the current efficiency of microwave for high-enthalpy heat processing, electric furnaces, electric process cooling and electric generic processes (2.85 MWh :math:`_{el}`/t of HVC).
+The production of ammonia, methanol, and chlorine production is deducted from the JRC IDEES basic chemicals, leaving the production totals of high-value chemicals. For this, we assume that the liquid hydrocarbon feedstock comes from synthetic or fossil- origin naphtha (14 MWh $_{naphtha}$/t of HVC, similar to [Lechtenboehmer et al](https://doi.org/10.1016/j.energy.2016.07.110)), ignoring the methanol-to-olefin route. Furthermore, we assume the following transformations of the energy-consuming processes in the production of plastics: the final energy consumption in steam processing is converted to methane since requires temperature above 500 degrees C (4.1 MWh $_{CH_4}$ /t of HVC, see [Rehfeldt et al.](https://doi.org/10.1007/s12053-017-9571-y)); and the remaining processes are electrified using the current efficiency of microwave for high-enthalpy heat processing, electric furnaces, electric process cooling and electric generic processes (2.85 MWh $_{el}$/t of HVC).
 
-The process emissions from feedstock in the chemical industry are as high as 0.369 t :math:`_{CO_2}`/t of ethylene equivalent. We consider process emissions for all the material output, which is a conservative approach since it assumes that all plastic-embedded :math:`CO_2` will eventually be released into the atmosphere. However, plastic disposal in landfilling will avoid, or at least delay, associated :math:`CO_2` emissions.
+The process emissions from feedstock in the chemical industry are as high as 0.369 t $_{CO_2}$/t of ethylene equivalent. We consider process emissions for all the material output, which is a conservative approach since it assumes that all plastic-embedded $CO_2$ will eventually be released into the atmosphere. However, plastic disposal in landfilling will avoid, or at least delay, associated $CO_2$ emissions.
 
-Circular economy practices drastically reduce the amount of primary feedstock needed for the production of plastics in the model (see `Kullmann et al. <https://doi.org/10.1016/j.energy.2022.124660>`__, `Meys et al. (2021) <https://doi.org/10.1126/science.abg9853>`__, `Meys et al. (2020) <https://doi.org/10/gmxv6z>`__, `Gu et al. <https://doi.org/10/gf8n9w>`__) and consequently, also the energy demands and level of process emission. The percentage of plastics that are assumed to be mechanically recycled can be selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L315>`__, as well as
-the percentage that is chemically recycled, see `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L316>`__ The energy consumption for those recycling processes are respectively 0.547 MWh :math:`_{el}`/t of HVC (as indicated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L318>`__) (`Meys et al. (2020) <https://doi.org/10/gmxv6z>`__), and 6.9 MWh :math:`_{el}`/t of HVC (as indicated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L319>`__) based on pyrolysis and electric steam cracking (see `Materials Economics <https://materialeconomics.com/publications/industrial-transformation-2050>`__ report).
+Circular economy practices drastically reduce the amount of primary feedstock needed for the production of plastics in the model (see [Kullmann et al.](https://doi.org/10.1016/j.energy.2022.124660), [Meys et al. (2021)](https://doi.org/10.1126/science.abg9853), [Meys et al. (2020)](https://doi.org/10/gmxv6z), [Gu et al.](https://doi.org/10/gf8n9w)) and consequently, also the energy demands and level of process emission. The percentage of plastics that are assumed to be mechanically recycled can be selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L315), as well as
+the percentage that is chemically recycled, see [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L316) The energy consumption for those recycling processes are respectively 0.547 MWh $_{el}$/t of HVC (as indicated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L318)) ([Meys et al. (2020)](https://doi.org/10/gmxv6z)), and 6.9 MWh $_{el}$/t of HVC (as indicated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L319)) based on pyrolysis and electric steam cracking (see [Materials Economics](https://materialeconomics.com/publications/industrial-transformation-2050) report).
 
 
 **Non-metallic Mineral Products**
@@ -545,27 +472,26 @@ This subsector includes the manufacturing of cement, ceramics, and glass.
 
 *Cement*
 
-Cement is used in construction to make concrete. The production of cement involves high energy consumption and large process emissions. The calcination of limestone to chemically reactive calcium oxide, also known as lime, involves process emissions of 0.54 t :math:`_{CO_2}` /t cement (see `Akhtar et al. <https://doi.org/10.1109/CITCON.2013.6525276>`__.
+Cement is used in construction to make concrete. The production of cement involves high energy consumption and large process emissions. The calcination of limestone to chemically reactive calcium oxide, also known as lime, involves process emissions of 0.54 t $_{CO_2}$ /t cement (see [Akhtar et al.](https://doi.org/10.1109/CITCON.2013.6525276).
 
 
-.. math::
-   CaCO_3 \xrightarrow{}  CaO + CO_2
+$$CaCO_3 \xrightarrow{}  CaO + CO_2$$
 
 
-Additionally, :math:`CO_2` is emitted from the combustion of fossil fuels to provide process heat. Thereby, cement constitutes the biggest source of industry process emissions in Europe.
+Additionally, $CO_2$ is emitted from the combustion of fossil fuels to provide process heat. Thereby, cement constitutes the biggest source of industry process emissions in Europe.
 
 Cement process emissions can be captured assuming a capture rate of 90%. Whether emissions are captured is decided by the model taking into account the capital costs of carbon capture modules. The electricity and heat demand of process emission carbon capture is currently ignored. For net-zero emission scenarios, the remaining process emissions need to be compensated by negative emissions.
 
-With the exception of electricity demand and biomass demand for low-temperature heat (0.06 MWh/t and 0.2 MWh/t), the final energy consumption of this subsector is assumed to be supplied by methane (0.52 MWh/t), which is capable of delivering the required high-temperature heat. This implies a switch from burning solid fuels to burning gas which will require adjustments of the `kilns <10.1109/CITCON.2013.6525276>`__. The share of fossil vs. synthetic methane consumed is a result of the optimisation
+With the exception of electricity demand and biomass demand for low-temperature heat (0.06 MWh/t and 0.2 MWh/t), the final energy consumption of this subsector is assumed to be supplied by methane (0.52 MWh/t), which is capable of delivering the required high-temperature heat. This implies a switch from burning solid fuels to burning gas which will require adjustments of the kilns. The share of fossil vs. synthetic methane consumed is a result of the optimisation
 
 
 *Ceramics*
 
-The ceramics sector is assumed to be fully electrified based on the current efficiency of already electrified processes which include microwave drying and sintering of raw materials, electric kilns for primary production processes, electric furnaces for the `product finishing <https://data.europa.eu/doi/10.2760/182725>`__. In total, the final electricity consumption is 0.44 MWh/t of ceramic. The manufacturing of ceramics includes process emissions of 0.03 t :math:`_{CO_2}`/t of ceramic. For a detailed overview of the ceramics industry sector see `Furszyfer Del Rio et al <https://doi.org/10.1016/j.rser.2021.111885>`__.
+The ceramics sector is assumed to be fully electrified based on the current efficiency of already electrified processes which include microwave drying and sintering of raw materials, electric kilns for primary production processes, electric furnaces for the [product finishing](https://data.europa.eu/doi/10.2760/182725). In total, the final electricity consumption is 0.44 MWh/t of ceramic. The manufacturing of ceramics includes process emissions of 0.03 t $_{CO_2}$/t of ceramic. For a detailed overview of the ceramics industry sector see [Furszyfer Del Rio et al](https://doi.org/10.1016/j.rser.2021.111885).
 
 *Glass*
 
-The production of glass is assumed to be fully electrified based on the current efficiency of electric melting tanks and electric annealing which adds up to an electricity demand of 2.07 MWh :math:`_{el}`/t of `glass <https://doi.org/10/f9df2m>`__. The manufacturing of glass incurs process emissions of 0.1 t :math:`_{CO_2}`/t of glass. Potential efficiency improvements, which according to `Lechtenböhmer et al <https://doi.org/10/f9df2m>`__ could reduce energy demands to 0.85 MW :math:`_{el}`/t of glass, have not been considered. For a detailed overview of the glass industry sector see `Furszyfer Del Rio et al <https://doi.org/10.1016/j.rser.2021.111885>`__.
+The production of glass is assumed to be fully electrified based on the current efficiency of electric melting tanks and electric annealing which adds up to an electricity demand of 2.07 MWh $_{el}$/t of [glass](https://doi.org/10/f9df2m). The manufacturing of glass incurs process emissions of 0.1 t $_{CO_2}$/t of glass. Potential efficiency improvements, which according to [Lechtenboehmer et al](https://doi.org/10/f9df2m) could reduce energy demands to 0.85 MW $_{el}$/t of glass, have not been considered. For a detailed overview of the glass industry sector see [Furszyfer Del Rio et al](https://doi.org/10.1016/j.rser.2021.111885).
 
 
 **Non-ferrous Metals**
@@ -574,88 +500,73 @@ The non-ferrous metal subsector includes the manufacturing of base metals (alumi
 
 The manufacturing of aluminium accounts for more than half of the final energy consumption of this subsector. Two alternative processing routes are used today to manufacture aluminium in Europe. The primary route represents 40% of the aluminium pro- duction, while the secondary route represents the remaining 60%.
 
-The primary route involves two energy-intensive processes: the production of alumina from bauxite (aluminium ore) and the electrolysis to transform alumina into aluminium via the Hall-Héroult process
+The primary route involves two energy-intensive processes: the production of alumina from bauxite (aluminium ore) and the electrolysis to transform alumina into aluminium via the Hall-Heroult process
 
-.. math::
-   2Al_2O_3 +3C \xrightarrow{}  4Al+3CO_2
+$$2Al_2O_3 +3C \xrightarrow{}  4Al+3CO_2$$
 
 
-The primary route requires high-enthalpy heat (2.3 MWh/t) to produce alumina which is supplied by methane and causes process emissions of 1.5 t :math:`_{CO_2}`/t aluminium. According to `Friedrichsen et al. <http://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for>`__, inert anodes might become commercially available by 2030 that would eliminate the process emissions, but they are not included in the model. Assuming all subprocesses are electrified, the primary route requires 15.4 MWh :math:`_{el}`/t of aluminium.
+The primary route requires high-enthalpy heat (2.3 MWh/t) to produce alumina which is supplied by methane and causes process emissions of 1.5 t $_{CO_2}$/t aluminium. According to [Friedrichsen et al.](http://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for), inert anodes might become commercially available by 2030 that would eliminate the process emissions, but they are not included in the model. Assuming all subprocesses are electrified, the primary route requires 15.4 MWh $_{el}$/t of aluminium.
 
-In the secondary route, scrap aluminium is remelted. The energy demand for this process is only 10% of the primary route and there are no associated process emissions. Assuming all subprocesses are electrified, the secondary route requires 1.7 MWh/t of aluminium. The share of aliminum manufactured by the primary and secondary route can be selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L297>`__]
+In the secondary route, scrap aluminium is remelted. The energy demand for this process is only 10% of the primary route and there are no associated process emissions. Assuming all subprocesses are electrified, the secondary route requires 1.7 MWh/t of aluminium. The share of aliminum manufactured by the primary and secondary route can be selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L297)
 
-For the other non-ferrous metals, we assume the electrification of the entire manufacturing process with an average electricity demand of 3.2 MWh :math:`_{el}`/t lead equivalent.
+For the other non-ferrous metals, we assume the electrification of the entire manufacturing process with an average electricity demand of 3.2 MWh $_{el}$/t lead equivalent.
 
 **Other Industry Subsectors**
 
-The remaining industry subsectors include (a) pulp, paper, printing, (b) food, beverages, tobacco, (c) textiles and leather, (d) machinery equipment, (e) transport equipment, (f) wood and wood products, (g) others. Low- and mid-temperature process heat in these industries is assumed to be `supplied by biomass <https://doi.org/10.1016/j.rser.2021.110856>`__  while the remaining processes are electrified. None of the subsectors involve process emissions.
+The remaining industry subsectors include (a) pulp, paper, printing, (b) food, beverages, tobacco, (c) textiles and leather, (d) machinery equipment, (e) transport equipment, (f) wood and wood products, (g) others. Low- and mid-temperature process heat in these industries is assumed to be [supplied by biomass](https://doi.org/10.1016/j.rser.2021.110856)  while the remaining processes are electrified. None of the subsectors involve process emissions.
 
 
-Agriculture demand
-=========================
+## Agriculture demand
 
-Energy demands for the agriculture, forestry and fishing sector per country are taken from the `JRC-IDEES database <http://data.europa.eu/89h/jrc-10110-10001>`__. Missing countries are filled with `Eurostat data <https://ec.europa.eu/eurostat/web/energy/data/energy-balances>`__. Agricultural energy demands are split into electricity (lighting, ventilation, specific electricity uses, electric pumping devices), heat (specific heat uses, low enthalpy heat), and machinery oil (motor drives, farming machine drives, diesel-fueled pumping devices). Heat demand is assigned at “services rural heat” buses. Time series for demands are assumed to be constant and distributed inside countries by population.
+Energy demands for the agriculture, forestry and fishing sector per country are taken from the [JRC-IDEES database](http://data.europa.eu/89h/jrc-10110-10001). Missing countries are filled with [Eurostat data](https://ec.europa.eu/eurostat/web/energy/data/energy-balances). Agricultural energy demands are split into electricity (lighting, ventilation, specific electricity uses, electric pumping devices), heat (specific heat uses, low enthalpy heat), and machinery oil (motor drives, farming machine drives, diesel-fueled pumping devices). Heat demand is assigned at "services rural heat" buses. Time series for demands are assumed to be constant and distributed inside countries by population.
 
-.. _Transportation:
+## Transportation {#transportation}
 
-Transportation
-=========================
-Annual energy demands for land transport, aviation and shipping for every country are retrieved from `JRC-IDEES data set <http://data.europa.eu/89h/jrc-10110-10001>`__. Below, the details of how each of these categories are treated is explained.
+Annual energy demands for land transport, aviation and shipping for every country are retrieved from [JRC-IDEES data set](http://data.europa.eu/89h/jrc-10110-10001). Below, the details of how each of these categories are treated is explained.
 
-.. _Land transport:
+### Land transport {#land-transport}
 
-**Land transport**
+Both road and rail transport is combined as [land transport demand](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_transport_demand.py#L74) although electrified rail transport is excluded because that demand is included in the current electricity demand.
 
-Both road and rail transport is combined as `land transport demand <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_transport_demand.py#L74>`__ although electrified rail transport is excluded because that demand is included in the current electricity demand.
-
-The most important settings for land transport are the exogenously fixed fuel mix (an option enabling the endogeous optimization of transport electrification is planned but not yet implemented). In the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181>`__, the share of battery electric vehicles (BEV) and hydrogen fuel cell vehicles (FCEV) can be set. The remaining percentage will be treated as internal combustion engines (ICE) that consume oil products.
+The most important settings for land transport are the exogenously fixed fuel mix (an option enabling the endogeous optimization of transport electrification is planned but not yet implemented). In the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181), the share of battery electric vehicles (BEV) and hydrogen fuel cell vehicles (FCEV) can be set. The remaining percentage will be treated as internal combustion engines (ICE) that consume oil products.
 
 *Battery Electric vehicles (BEV)*
 
-For the electrified land transport, country-specific factors are computed by comparing the `current car final energy consumption per km in <https://www.sciencedirect.com/science/article/pii/S0360544216310295>`__ (average for Europe 0.7 kWh/km) to the 0.18 kWh/km value assumed for battery-to-wheels efficiency in EVs. The characteristic `weekly profile <https://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/zaehl_node.html>`__ provided by the German Federal Highway Research Institute (BASt) is used to obtain hourly time series for European countries taking into account the corresponding local times. Furthermore, a temperature dependence is included in the time series to account for heating/cooling demand in transport. For temperatures `below <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L166>`__/`above <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L165>`__ certain threshold values, e.g. 15 °C/20 °C, `temperature coefficients <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L169>`__ of typically 0.98%/°C and 0.63%/°C are assumed, based on the `paper <https://www.sciencedirect.com/science/article/pii/S036054421831288X>`__.
+For the electrified land transport, country-specific factors are computed by comparing the [current car final energy consumption per km in](https://www.sciencedirect.com/science/article/pii/S0360544216310295) (average for Europe 0.7 kWh/km) to the 0.18 kWh/km value assumed for battery-to-wheels efficiency in EVs. The characteristic [weekly profile](https://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/zaehl_node.html) provided by the German Federal Highway Research Institute (BASt) is used to obtain hourly time series for European countries taking into account the corresponding local times. Furthermore, a temperature dependence is included in the time series to account for heating/cooling demand in transport. For temperatures [below](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L166)/[above](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L165) certain threshold values, e.g. 15 degrees C/20 degrees C, [temperature coefficients](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L169) of typically 0.98%/degrees C and 0.63%/degrees C are assumed, based on the [paper](https://www.sciencedirect.com/science/article/pii/S036054421831288X).
 
-For BEVs the user can define the `storage energy capacity <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L173>`__, `charging power capacity <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L176>`__, and `charging efficiency <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L174>`__.
+For BEVs the user can define the [storage energy capacity](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L173), [charging power capacity](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L176), and [charging efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L174).
 
-For BEV, smart charging is an option. A `certain share <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L172>`__ of the BEV fleet can shift their charging time. The BEV state of charge is forced to be higher than a `set percentage <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L163>`__, e.g. 75%, every day at a `specified hour <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L164>`__, e.g., 7 am, to ensure that the batteries are sufficiently charged for peak usage in the morning and they not behave as seasonal storage. They also have the option to participate in vehicle-to-grid (V2G) services to facilitate system operation if that `is enabled <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L179>`__.
+For BEV, smart charging is an option. A [certain share](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L172) of the BEV fleet can shift their charging time. The BEV state of charge is forced to be higher than a [set percentage](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L163), e.g. 75%, every day at a [specified hour](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L164), e.g., 7 am, to ensure that the batteries are sufficiently charged for peak usage in the morning and they not behave as seasonal storage. They also have the option to participate in vehicle-to-grid (V2G) services to facilitate system operation if that [is enabled](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L179).
 
 The battery cost of BEV is not included in the model since it is assumed that BEV owners buy them to primarily satisfy their mobility needs.
 
 *Hydrogen fuel cell vehicles (FCEV)*
 
-The share of all land transport that is specified to be be FCEV will be converted to a demand for hydrogen (see :ref:`Hydrogen supply`) using the `FCEV efficiency
-<https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L191>`__.
+The share of all land transport that is specified to be be FCEV will be converted to a demand for hydrogen (see [Hydrogen supply](#hydrogen-supply)) using the [FCEV efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L191).
 
 FCEVs are typically used to simulate demand for transport that is hard to electrify directly, e.g. heavy construction machinery. But it may also be used to investigate a more widespread adoption of the technology.
 
 *Internal combustion engine vehicles (ICE)*
 
-All land transport that is not specified to be either BEV or FCEV will be treated as conventional ICEs. The transport demand is converted to a demand for oil products (see :ref:`Oil-based products supply`) using the `ICE efficiency
-<https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L192>`__.
-
-.. _Aviation:
-
-**Aviation**
-
-The `demand for aviation <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2193>`__ includes international and domestic use. It is modelled as an oil demand since aviation consumes kerosene. This can be produced synthetically or have fossil-origin (see :ref:`Oil-based products supply`).
+All land transport that is not specified to be either BEV or FCEV will be treated as conventional ICEs. The transport demand is converted to a demand for oil products (see [Oil-based products supply](#oil-based-products-supply)) using the [ICE efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L192).
 
-.. _Shipping:
+### Aviation {#aviation}
 
-**Shipping**
+The [demand for aviation](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2193) includes international and domestic use. It is modelled as an oil demand since aviation consumes kerosene. This can be produced synthetically or have fossil-origin (see [Oil-based products supply](#oil-based-products-supply)).
 
-Shipping energy demand is covered by a combination of oil, hydrogen and methanol. Other fuel options, like ammonia, are currently not included in PyPSA-Eur-Sec. The share of shipping that is assumed to be supplied by hydrogen or methanol can be selected in the `config file <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml#L475>`__.
+### Shipping {#shipping}
 
-To estimate the `hydrogen demand <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2090>`__, the average fuel efficiency of the fleet is used in combination with the efficiency of the fuel cell defined in the technology-data repository. The average fuel efficiency is set in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L196>`__.
+Shipping energy demand is covered by a combination of oil, hydrogen and methanol. Other fuel options, like ammonia, are currently not included in PyPSA-Eur-Sec. The share of shipping that is assumed to be supplied by hydrogen or methanol can be selected in the [config file](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml#L475).
 
-The consumed hydrogen comes from the general hydrogen bus where it can be produced by SMR, SMR+CC or electrolysers (see :ref:`Hydrogen supply`). The fraction that is not converted into hydrogen use oil products, i.e. is connected to the general oil bus.
+To estimate the [hydrogen demand](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2090), the average fuel efficiency of the fleet is used in combination with the efficiency of the fuel cell defined in the technology-data repository. The average fuel efficiency is set in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L196).
 
-The energy demand for liquefaction of the hydrogen used for shipping can be `included  <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L197>`__. If this option is selected, liquifaction will happen at the `node where the shipping demand occurs <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2064>`__.
+The consumed hydrogen comes from the general hydrogen bus where it can be produced by SMR, SMR+CC or electrolysers (see [Hydrogen supply](#hydrogen-supply)). The fraction that is not converted into hydrogen use oil products, i.e. is connected to the general oil bus.
 
-The consumed methanol comes from the general methanol bus where it is produced through methanolisation (see :ref:`Chemicals Industry`).
+The energy demand for liquefaction of the hydrogen used for shipping can be [included](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L197). If this option is selected, liquifaction will happen at the [node where the shipping demand occurs](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2064).
 
-.. _Carbon dioxide capture, usage and sequestration (CCU/S):
+The consumed methanol comes from the general methanol bus where it is produced through methanolisation (see [Chemicals Industry](#chemicals-industry)).
 
-Carbon dioxide capture, usage and sequestration (CCU/S)
-=========================================================
+## Carbon dioxide capture, usage and sequestration (CCU/S) {#carbon-dioxide-capture-usage-and-sequestration-ccus}
 
 PyPSA-Eur-Sec includes carbon capture from air (i.e., direct air capture (DAC)), electricity generators, and industrial facilities. It furthermore includes carbon dioxide storage and transport, the usage of carbon dioxide in synthetic methane and oil products, as well as the sequestration of carbon dioxide underground.
 
@@ -663,30 +574,26 @@ PyPSA-Eur-Sec includes carbon capture from air (i.e., direct air capture (DAC)),
 
 For the following point source emissions, carbon capture is applicable:
 
-•	Industry process emissions, e.g., from limestone in cement production
-
-•	Methane or biomass used for process heat in the industry
-
-•	Hydrogen production by SMR
-
-•	CHP plants using biomass or methane
-
-•	`Coal power plants <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L242>`__.
+- Industry process emissions, e.g., from limestone in cement production
+- Methane or biomass used for process heat in the industry
+- Hydrogen production by SMR
+- CHP plants using biomass or methane
+- [Coal power plants](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L242).
 
-Point source emissions are captured assuming a capture rate, e.g. 90%, which can be specified in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L249>`__. The electricity and heat demand of process emission carbon capture
+Point source emissions are captured assuming a capture rate, e.g. 90%, which can be specified in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L249). The electricity and heat demand of process emission carbon capture
 is currently ignored.
 
-DAC (if `included <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L243>`__) includes the adsorption phase where electricity and heat consumptionsare required to assist the adsorption process and regenerate the adsorbent. It also includes the drying and compression of :math:`CO_2` prior to storage which consumes electricity and rejects heat.
+DAC (if [included](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L243)) includes the adsorption phase where electricity and heat consumptionsare required to assist the adsorption process and regenerate the adsorbent. It also includes the drying and compression of $CO_2$ prior to storage which consumes electricity and rejects heat.
 
 *Carbon dioxide usage*
 
-Captured :math:`CO_2` can be used to produce synthetic methane and synthetic oil products (e.g.
-naphtha). If captured carbon is used, the :math:`CO_2` emissions of the synthetic fuels are net-neutral.
+Captured $CO_2$ can be used to produce synthetic methane and synthetic oil products (e.g.
+naphtha). If captured carbon is used, the $CO_2$ emissions of the synthetic fuels are net-neutral.
 
 *Carbon dioxide sequestration*
 
-Captured :math:`CO_2` can also be sequestered underground up to an annual sequestration limit of 200 Mt :math:`_{CO_2}`/a. This limit can be chosen in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L246>`__. As stored carbon dioxide is modelled as a single node for Europe, :math:`CO_2` transport constraints are neglected. Since :math:`CO_2` sequestration is an immature technology, the cost assumption is defined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247>`__.
+Captured $CO_2$ can also be sequestered underground up to an annual sequestration limit of 200 Mt $_{CO_2}$/a. This limit can be chosen in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L246). As stored carbon dioxide is modelled as a single node for Europe, $CO_2$ transport constraints are neglected. Since $CO_2$ sequestration is an immature technology, the cost assumption is defined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247).
 
 *Carbon dioxide transport*
 
-Carbon dioxide can be modelled as a single node for Europe (in this case, :math:`CO_2` transport constraints are neglected). A network for modelling the transport of :math:`CO_2` among the different nodes can also be created if selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248>`__.
+Carbon dioxide can be modelled as a single node for Europe (in this case, $CO_2$ transport constraints are neglected). A network for modelling the transport of $CO_2$ among the different nodes can also be created if selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248).
diff --git a/doc/support.md b/doc/support.md
index 76e7aada5b..368ef0d3e6 100644
--- a/doc/support.md
+++ b/doc/support.md
@@ -1,14 +1,11 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Support
-##########################################
+# Support
 
 Please consider the following ways to reach out to the community and the developers:
 
-* To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the `Discord server <https://discord.gg/AnuJBk23FU>`_.
-  * The `PyPSA mailing <https://groups.google.com/group/pypsa>`_ list previously was used for all kind of questions. Please use Discord server going forward, while the mailing list remains accessible as a knowledge archive.
-* For **bugs and feature requests**, please use the `issue tracker <https://github.com/PyPSA/PyPSA/issues>`_.
-* We strongly welcome anyone interested in providing **contributions** to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on `Github <https://github.com/PyPSA/PyPSA>`_.
+* To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the [Discord server](https://discord.gg/AnuJBk23FU).
+  * The [PyPSA mailing](https://groups.google.com/group/pypsa) list previously was used for all kind of questions. Please use Discord server going forward, while the mailing list remains accessible as a knowledge archive.
+* For **bugs and feature requests**, please use the [issue tracker](https://github.com/PyPSA/PyPSA/issues).
+* We strongly welcome anyone interested in providing **contributions** to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on [Github](https://github.com/PyPSA/PyPSA).
diff --git a/doc/tutorial.md b/doc/tutorial.md
index a80a63f202..db5fbd1b2e 100644
--- a/doc/tutorial.md
+++ b/doc/tutorial.md
@@ -1,23 +1,17 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _tutorial:
+# Tutorial: Electricity-Only {#tutorial}
 
-###############################
-Tutorial: Electricity-Only
-###############################
+<iframe width="832" height="468" src="https://www.youtube.com/embed/mAwhQnNRIvs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
-.. raw:: html
-
-    <iframe width="832" height="468" src="https://www.youtube.com/embed/mAwhQnNRIvs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
-.. note::
-    If you have not done it yet, follow the :ref:`installation` steps first.
+!!! note
+    If you have not done it yet, follow the [installation](installation.md) steps first.
 
 In this tutorial, we will build a heavily simplified power system model for
 Belgium. But before getting started with **PyPSA-Eur** it makes sense to be familiar
-with its general modelling framework `PyPSA <https://pypsa.readthedocs.io>`__.
+with its general modelling framework [PyPSA](https://pypsa.readthedocs.io).
 
 Running the tutorial requires limited computational resources compared to the
 full model, which allows the user to explore most of its functionalities on a
@@ -28,78 +22,68 @@ is located at ``config/test/config.electricity.yaml``. It includes parts deviati
 the default config file ``config/config.default.yaml``. To run the tutorial with this
 configuration, execute
 
-.. code:: console
-    :class: full-width
+```console
+$ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
+```
 
-    $ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
+This configuration is set to download a reduced cutout via the rule `retrieve_cutout`.
+For more information on the data dependencies of PyPSA-Eur, continue reading [Retrieving Data](retrieve.md#data).
 
-This configuration is set to download a reduced cutout via the rule :mod:`retrieve_cutout`.
-For more information on the data dependencies of PyPSA-Eur, continue reading :ref:`data`.
-
-How to configure runs?
-===========================
+## How to configure runs?
 
 The model can be adapted to only include selected countries (e.g. Belgium) instead of all European countries to limit the spatial scope.
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: countries:
-   :end-before: snapshots:
+```yaml
+{{ yaml_section("countries", source="test/config.electricity.yaml") }}
+```
 
 Likewise, the example's temporal scope can be restricted (e.g. to a single week).
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: snapshots:
-   :end-before: electricity:
+```yaml
+{{ yaml_section("snapshots", source="test/config.electricity.yaml") }}
+```
 
 It is also possible to allow less or more carbon-dioxide emissions. Here, we limit the emissions of Belgium to 100 Mt per year.
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: electricity:
-   :end-before: extendable_carriers:
+```yaml
+{{ yaml_section("electricity.co2limit_enable", "electricity.co2limit", source="test/config.electricity.yaml") }}
+```
 
 PyPSA-Eur also includes a database of existing conventional powerplants.
 We can select which types of existing powerplants we like to be extendable:
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: extendable_carriers:
-   :end-before: renewable_carriers:
+```yaml
+{{ yaml_section("electricity.extendable_carriers", source="test/config.electricity.yaml") }}
+```
 
 To accurately model the temporal and spatial availability of renewables such as
 wind and solar energy, we rely on historical weather data. It is advisable to
 adapt the required range of coordinates to the selection of countries.
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: atlite:
-   :end-before: renewable:
+```yaml
+{{ yaml_section("atlite", source="test/config.electricity.yaml") }}
+```
 
 We can also decide which weather data source should be used to calculate
 potentials and capacity factor time-series for each carrier. For example, we may
 want to use the ERA-5 dataset for solar and not the default SARAH-3 dataset.
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: solar:
-   :end-at: cutout:
+```yaml
+{{ yaml_section("renewable.solar.cutout") }}
+```
 
 Finally, it is possible to pick a solver. For instance, this tutorial uses the
 open-source solver HiGHS.
 
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: solver:
-   :end-before: check_objective:
+```yaml
+{{ yaml_section("solving.solver", source="test/config.electricity.yaml") }}
+```
 
 Note, that ``config/test/config.electricity.yaml`` only includes changes relative to
 the default configuration. There are many more configuration options, which are
-documented at :ref:`config`.
+documented at [Configuration](configuration.md).
 
-Directory Structure and Configuration Settings
-----------------------------------------------
+### Directory Structure and Configuration Settings
 
 It's important to understand how certain configuration settings affect the directory structure in PyPSA-Eur:
 
@@ -110,250 +94,129 @@ These settings work together to organize model runs:
 
 - Final model outputs are always stored in ``results/[run.name]/...``
 - Intermediate files can be either:
-  - Specific to a run: ``resources/[run.shared_resources.policy]/...`` (if policy is a string)
-  - Shared between runs: ``resources/...`` (if policy is ``true``)
-  - Not shared between runs: ``resources/[run.name]``(if policy is ``false``)
-  - Partially shared: If policy is ``"base"``, some common files are shared while others remain run-specific
+    - Specific to a run: ``resources/[run.shared_resources.policy]/...`` (if policy is a string)
+    - Shared between runs: ``resources/...`` (if policy is ``true``)
+    - Not shared between runs: ``resources/[run.name]`` (if policy is ``false``)
+    - Partially shared: If policy is ``"base"``, some common files are shared while others remain run-specific
 
 For this tutorial, with ``run.name: "test-elec"`` and ``run.shared_resources.policy: "test"``,
 intermediate resources are stored in ``resources/test/...`` while results are in ``results/test-elec/...``.
 
 The implementation of this behavior can be found in ``scripts/_helpers.py``.
 
-How to use ``snakemake`` rules?
-===================================
+## How to use ``snakemake`` rules?
 
 Open a terminal, go into the PyPSA-Eur directory, and activate the ``pypsa-eur`` environment with
 
-.. code:: console
-
-    $ pixi shell
+```console
+$ pixi shell
+```
 
 Let's say based on the modifications above we would like to solve a very simplified model
 clustered down to 6 buses and every 24 hours aggregated to one snapshot. The command
 
-.. code:: console
-
-    $ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
-
-orders ``snakemake`` to run the rule :mod:`solve_network` that produces the solved network and stores it in ``results/test-elec/networks`` with the name ``base_s_6_elec_.nc``:
-
-.. literalinclude:: ../rules/solve_electricity.smk
-   :start-at: rule solve_network:
-   :end-before: rule solve_operations_network:
+```console
+$ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
+```
+
+orders ``snakemake`` to run the rule [solve_network][] that produces the solved network and stores it in ``results/test-elec/networks`` with the name ``base_s_6_elec_.nc``:
+
+```python
+rule solve_network:
+    input:
+        network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
+    output:
+        network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
+        config=RESULTS + "configs/config.base_s_{clusters}_elec_{opts}.yaml",
+        model=(
+            RESULTS + "models/base_s_{clusters}_elec_{opts}.nc"
+            if config["solving"]["options"]["store_model"]
+            else []
+        ),
+    log:
+        solver=normpath(
+            RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_solver.log"
+        ),
+        memory=RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_memory.log",
+        python=RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_python.log",
+    benchmark:
+        (RESULTS + "benchmarks/solve_network/base_s_{clusters}_elec_{opts}")
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=memory,
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
+    script:
+        scripts("solve_network.py")
+```
 
 This triggers a workflow of multiple preceding jobs that depend on each rule's inputs and outputs:
 
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "solve_network", color = "0.15 0.6 0.85", style="rounded"];
-            1[label = "prepare_network\nopts: ", color = "0.07 0.6 0.85", style="rounded"];
-            2[label = "add_electricity", color = "0.49 0.6 0.85", style="rounded"];
-            3[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            4[label = "determine_availability_matrix\ntechnology: solar", color = "0.10 0.6 0.85", style="rounded"];
-            5[label = "retrieve_databundle", color = "0.02 0.6 0.85", style="rounded"];
-            6[label = "build_shapes", color = "0.05 0.6 0.85", style="rounded"];
-            7[label = "retrieve_eez", color = "0.10 0.6 0.85", style="rounded"];
-            8[label = "retrieve_nuts_2021_shapes", color = "0.49 0.6 0.85", style="rounded"];
-            9[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            10[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.52 0.6 0.85", style="rounded"];
-            11[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            12[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.52 0.6 0.85", style="rounded"];
-            13[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            14[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.52 0.6 0.85", style="rounded"];
-            15[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            16[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.52 0.6 0.85", style="rounded"];
-            17[label = "retrieve_jrc_ardeco", color = "0.06 0.6 0.85", style="rounded"];
-            18[label = "cluster_network\nclusters: 6", color = "0.12 0.6 0.85", style="rounded"];
-            19[label = "simplify_network", color = "0.33 0.6 0.85", style="rounded"];
-            20[label = "add_transmission_projects_and_dlr", color = "0.46 0.6 0.85", style="rounded"];
-            21[label = "base_network", color = "0.00 0.6 0.85", style="rounded"];
-            22[label = "retrieve_osm_prebuilt", color = "0.41 0.6 0.85", style="rounded"];
-            23[label = "build_line_rating", color = "0.57 0.6 0.85", style="rounded"];
-            24[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.18 0.6 0.85", style="rounded"];
-            25[label = "build_transmission_projects", color = "0.04 0.6 0.85", style="rounded"];
-            26[label = "build_electricity_demand_base", color = "0.61 0.6 0.85", style="rounded"];
-            27[label = "build_electricity_demand", color = "0.16 0.6 0.85", style="rounded"];
-            28[label = "retrieve_electricity_demand", color = "0.21 0.6 0.85", style="rounded"];
-            29[label = "retrieve_synthetic_electricity_demand", color = "0.13 0.6 0.85", style="rounded"];
-            30[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            31[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.10 0.6 0.85", style="rounded"];
-            32[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            33[label = "determine_availability_matrix\ntechnology: onwind", color = "0.10 0.6 0.85", style="rounded"];
-            34[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            35[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.10 0.6 0.85", style="rounded"];
-            36[label = "build_ship_raster", color = "0.36 0.6 0.85", style="rounded"];
-            37[label = "retrieve_ship_raster", color = "0.39 0.6 0.85", style="rounded"];
-            38[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            39[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.10 0.6 0.85", style="rounded"];
-            40[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            41[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.10 0.6 0.85", style="rounded"];
-            42[label = "retrieve_cost_data\nyear: 2040", color = "0.64 0.6 0.85", style="rounded"];
-            43[label = "build_powerplants", color = "0.39 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            42 -> 1
-            3 -> 2
-            30 -> 2
-            32 -> 2
-            34 -> 2
-            38 -> 2
-            40 -> 2
-            18 -> 2
-            42 -> 2
-            43 -> 2
-            26 -> 2
-            4 -> 3
-            6 -> 3
-            18 -> 3
-            24 -> 3
-            5 -> 4
-            6 -> 4
-            18 -> 4
-            24 -> 4
-            7 -> 6
-            8 -> 6
-            9 -> 6
-            11 -> 6
-            13 -> 6
-            15 -> 6
-            17 -> 6
-            5 -> 6
-            10 -> 9
-            7 -> 9
-            12 -> 11
-            7 -> 11
-            14 -> 13
-            7 -> 13
-            16 -> 15
-            7 -> 15
-            19 -> 18
-            26 -> 18
-            20 -> 19
-            21 -> 19
-            21 -> 20
-            23 -> 20
-            25 -> 20
-            22 -> 21
-            6 -> 21
-            21 -> 23
-            24 -> 23
-            21 -> 25
-            6 -> 25
-            19 -> 26
-            6 -> 26
-            27 -> 26
-            28 -> 27
-            29 -> 27
-            31 -> 30
-            6 -> 30
-            18 -> 30
-            24 -> 30
-            5 -> 31
-            6 -> 31
-            18 -> 31
-            24 -> 31
-            33 -> 32
-            6 -> 32
-            18 -> 32
-            24 -> 32
-            5 -> 33
-            6 -> 33
-            18 -> 33
-            24 -> 33
-            35 -> 34
-            6 -> 34
-            18 -> 34
-            24 -> 34
-            5 -> 35
-            36 -> 35
-            6 -> 35
-            18 -> 35
-            24 -> 35
-            37 -> 36
-            24 -> 36
-            39 -> 38
-            6 -> 38
-            18 -> 38
-            24 -> 38
-            5 -> 39
-            36 -> 39
-            6 -> 39
-            18 -> 39
-            24 -> 39
-            41 -> 40
-            6 -> 40
-            18 -> 40
-            24 -> 40
-            5 -> 41
-            36 -> 41
-            6 -> 41
-            18 -> 41
-            24 -> 41
-            18 -> 43
-    }
-
-|
+[![Electricity tutorial DAG](img/dag_electricity.svg)](img/dag_electricity.svg)
 
 In the terminal, this will show up as a list of jobs to be run:
 
-.. code:: console
-
-    Building DAG of jobs...
-    Job stats:
-    job                                      count
-    -------------------------------------  -------
-    add_electricity                              1
-    add_transmission_projects_and_dlr            1
-    base_network                                 1
-    build_electricity_demand                     1
-    build_electricity_demand_base                1
-    build_line_rating                            1
-    build_osm_boundaries                         4
-    build_powerplants                            1
-    build_renewable_profiles                     6
-    build_shapes                                 1
-    build_ship_raster                            1
-    build_transmission_projects                  1
-    cluster_network                              1
-    determine_availability_matrix                6
-    prepare_network                              1
-    retrieve_cost_data                           1
-    retrieve_databundle                          1
-    retrieve_eez                                 1
-    retrieve_electricity_demand                  1
-    retrieve_jrc_ardeco                          1
-    retrieve_nuts_2021_shapes                    1
-    retrieve_osm_boundaries                      4
-    retrieve_osm_prebuilt                        1
-    retrieve_ship_raster                         1
-    retrieve_synthetic_electricity_demand        1
-    simplify_network                             1
-    solve_network                                1
-    total                                       43
+```console
+Building DAG of jobs...
+Job stats:
+job                                      count
+-------------------------------------  -------
+add_electricity                              1
+add_transmission_projects_and_dlr            1
+base_network                                 1
+build_electricity_demand                     1
+build_electricity_demand_base                1
+build_line_rating                            1
+build_osm_boundaries                         4
+build_powerplants                            1
+build_renewable_profiles                     6
+build_shapes                                 1
+build_ship_raster                            1
+build_transmission_projects                  1
+cluster_network                              1
+determine_availability_matrix                6
+prepare_network                              1
+retrieve_cost_data                           1
+retrieve_databundle                          1
+retrieve_eez                                 1
+retrieve_electricity_demand                  1
+retrieve_jrc_ardeco                          1
+retrieve_nuts_2021_shapes                    1
+retrieve_osm_boundaries                      4
+retrieve_osm_prebuilt                        1
+retrieve_ship_raster                         1
+retrieve_synthetic_electricity_demand        1
+simplify_network                             1
+solve_network                                1
+total                                       43
+```
 
 
 ``snakemake`` then runs these jobs in the correct order.
 
 A job (here ``build_powerplants``) will display its attributes and normally some logs below this block:
 
-.. code:: console
-
-    rule build_powerplants:
-        input: resources/test/networks/base_s_6.nc, data/custom_powerplants.csv
-        output: resources/test/powerplants_s_6.csv
-        log: logs/test/build_powerplants_s_6.log
-        jobid: 43
-        benchmark: benchmarks/test/build_powerplants_s_6
-        reason: Missing output files: resources/test/powerplants_s_6.csv; Input files updated by another job: resources/test/networks/base_s_6.nc
-        wildcards: clusters=6
-        resources: tmpdir=<TBD>, mem_mb=7000, mem_mib=6676
+```console
+rule build_powerplants:
+    input: resources/test/networks/base_s_6.nc, data/custom_powerplants.csv
+    output: resources/test/powerplants_s_6.csv
+    log: logs/test/build_powerplants_s_6.log
+    jobid: 43
+    benchmark: benchmarks/test/build_powerplants_s_6
+    reason: Missing output files: resources/test/powerplants_s_6.csv; Input files updated by another job: resources/test/networks/base_s_6.nc
+    wildcards: clusters=6
+    resources: tmpdir=<TBD>, mem_mb=7000, mem_mib=6676
+```
 
 Once the whole worktree is finished, it should state so in the terminal.
 
@@ -361,53 +224,51 @@ You will notice that many intermediate stages are saved, namely the outputs of e
 
 You can produce any output file occurring in the ``Snakefile`` by running
 
-.. code:: console
-
-    $ snakemake -call <output file>
+```console
+$ snakemake -call <output file>
+```
 
 For example, you can explore the evolution of the PyPSA networks by running
 
-#. ``snakemake -call resources/test/networks/base.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s_6.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml``
+1. ``snakemake -call resources/test/networks/base.nc --configfile config/test/config.electricity.yaml``
+2. ``snakemake -call resources/test/networks/base_s.nc --configfile config/test/config.electricity.yaml``
+3. ``snakemake -call resources/test/networks/base_s_6.nc --configfile config/test/config.electricity.yaml``
+4. ``snakemake -call resources/test/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml``
 
 To run all combinations of wildcard values provided in the ``config/config.yaml`` under ``scenario:``,
 you can use the collection rule ``solve_elec_networks``.
 
-.. code:: console
-
-    $ snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml
+```console
+$ snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml
+```
 
 If you now feel confident and want to tackle runs with larger temporal and
 spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
 target the collection rule ``solve_elec_networks`` again without providing the test
 configuration file.
 
-.. code:: console
-
-    $ snakemake -call purge
-    snakemake -call solve_elec_networks
-
-.. note::
+```console
+$ snakemake -call purge
+snakemake -call solve_elec_networks
+```
 
+!!! note
     It is good practice to perform a dry-run using the option `-n`, before you
     commit to a run:
 
-    .. code:: console
-
-        $ snakemake -call solve_elec_networks -n
+    ```console
+    $ snakemake -call solve_elec_networks -n
+    ```
 
-How to analyse results?
-===============================
+## How to analyse results?
 
 The solved networks can be analysed just like any other PyPSA network (e.g. in
 Jupyter Notebooks).
 
-.. code:: python
-
-    import pypsa
+```python
+import pypsa
 
-    n = pypsa.Network("results/test-elec/networks/base_s_6_elec_.nc")
+n = pypsa.Network("results/test-elec/networks/base_s_6_elec_.nc")
+```
 
-For inspiration, read the `examples section in the PyPSA documentation <https://pypsa.readthedocs.io/en/latest/examples-basic.html>`__.
+For inspiration, read the [examples section in the PyPSA documentation](https://pypsa.readthedocs.io/en/latest/examples-basic.html).
diff --git a/doc/tutorial_sector.md b/doc/tutorial_sector.md
index 7044198716..2d4446e1bb 100644
--- a/doc/tutorial_sector.md
+++ b/doc/tutorial_sector.md
@@ -1,32 +1,26 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _tutorial_sector:
+# Tutorial: Sector-Coupled {#tutorial_sector}
 
-###############################
-Tutorial: Sector-Coupled
-###############################
+!!! note
+    If you have not done it yet, follow the [installation](installation.md) steps first.
 
-.. note::
-    If you have not done it yet, follow the :ref:`installation` steps first.
-
-    Also, checkout the tutorial for electricity-only systems first at :ref:`tutorial`.
+    Also, checkout the tutorial for electricity-only systems first at [Tutorial: Electricity-Only](tutorial.md#tutorial).
 
 In this tutorial, we will add further sectors to the electricity-only model from
-:ref:`tutorial`, namely industry, transport, and buildings. This
+[Tutorial: Electricity-Only](tutorial.md#tutorial), namely industry, transport, and buildings. This
 requires processing of a few more raw data sources.
 
 The sector-coupling code can be run as an overnight / greenfield scenario or
 with multi-horizon investment with myopic foresight. Pathway analysis with
 perfect foresight is under development. See also the documentation on
-:ref:`foresight`.
+[Foresight](configuration.md#foresight_cf).
 
-Overnight Scenarios
-===========================
+## Overnight Scenarios
 
-Configuration
--------------
+### Configuration
 
 The default configuration file (``config/config.default.yaml``) is set up for running
 overnight scenarios. Running a sector-coupled model unlocks many further
@@ -34,115 +28,112 @@ configuration options. In the example below, we say that the gas network should
 be added and spatially resolved. We also say that the existing gas network may
 be retrofitted to transport hydrogen instead.
 
-.. literalinclude:: ../config/test/config.overnight.yaml
-   :language: yaml
-   :start-at: sector:
-   :end-before: industry:
+```yaml
+{{ yaml_section("sector", source="test/config.overnight.yaml") }}
+```
 
-Documentation for all options will be added successively to :ref:`config`.
+Documentation for all options will be added successively to [Configuration](configuration.md).
 
 Scenarios can be defined like for electricity-only studies, but with additional
 wildcard options.
 
-.. literalinclude:: ../config/test/config.overnight.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: countries:
+```yaml
+{{ yaml_section("scenario", source="test/config.overnight.yaml") }}
+```
 
-For allowed wildcard values, refer to :ref:`wildcards`.
+For allowed wildcard values, refer to [Wildcards](wildcards.md).
 
-Execution
----------
+### Execution
 
 To run an overnight / greenfiled scenario with the specifications above, run
 
-.. code:: console
-
-    $ snakemake -call all --configfile config/test/config.overnight.yaml
+```console
+$ snakemake -call all --configfile config/test/config.overnight.yaml
+```
 
 which will result in the following jobs ``snakemake`` wants to run, some of
 which were already included in the electricity-only tutorial:
 
-.. code:: console
-
-    job                                                 count
-    ------------------------------------------------  -------
-    add_electricity                                         1
-    add_transmission_projects_and_dlr                       1
-    all                                                     1
-    base_network                                            1
-    build_ammonia_production                                1
-    build_biomass_potentials                                1
-    build_central_heating_temperature_profiles              1
-    build_clustered_population_layouts                      1
-    build_cop_profiles                                      1
-    build_daily_heat_demand                                 1
-    build_direct_heat_source_utilisation_profiles           1
-    build_district_heat_share                               1
-    build_electricity_demand                                1
-    build_electricity_demand_base                           1
-    build_energy_totals                                     1
-    build_gas_input_locations                               1
-    build_gas_network                                       1
-    build_heat_totals                                       1
-    build_hourly_heat_demand                                1
-    build_industrial_distribution_key                       1
-    build_industrial_energy_demand_per_country_today        1
-    build_industrial_energy_demand_per_node                 1
-    build_industrial_energy_demand_per_node_today           1
-    build_industrial_production_per_country                 1
-    build_industrial_production_per_country_tomorrow        1
-    build_industrial_production_per_node                    1
-    build_industry_sector_ratios                            1
-    build_industry_sector_ratios_intermediate               1
-    build_osm_boundaries                                    4
-    build_population_layouts                                1
-    build_population_weighted_energy_totals                 2
-    build_powerplants                                       1
-    build_renewable_profiles                                6
-    build_salt_cavern_potentials                            1
-    build_shapes                                            1
-    build_ship_raster                                       1
-    build_shipping_demand                                   1
-    build_temperature_profiles                              1
-    build_transmission_projects                             1
-    build_transport_demand                                  1
-    cluster_gas_network                                     1
-    cluster_network                                         1
-    determine_availability_matrix                           6
-    make_summary                                            1
-    plot_gas_network                                        1
-    plot_hydrogen_network                                   1
-    plot_power_network                                      1
-    plot_power_network_clustered                            1
-    plot_summary                                            1
-    prepare_network                                         1
-    prepare_sector_network                                  1
-    retrieve_cost_data                                      1
-    retrieve_databundle                                     1
-    retrieve_eez                                            1
-    retrieve_electricity_demand                             1
-    retrieve_eurostat_data                                  1
-    retrieve_eurostat_household_data                        1
-    retrieve_gas_infrastructure_data                        1
-    retrieve_gem_europe_gas_tracker                         1
-    retrieve_gem_steel_plant_tracker                        1
-    retrieve_hotmaps_industrial_sites                       1
-    retrieve_jrc_ardeco                                     1
-    retrieve_jrc_enspreso_biomass                           1
-    retrieve_jrc_idees                                      1
-    retrieve_nuts_2013_shapes                               1
-    retrieve_nuts_2021_shapes                               1
-    retrieve_osm_boundaries                                 4
-    retrieve_osm_prebuilt                                   1
-    retrieve_ship_raster                                    1
-    retrieve_synthetic_electricity_demand                   1
-    retrieve_usgs_ammonia_production                        1
-    retrieve_worldbank_urban_population                     1
-    simplify_network                                        1
-    solve_sector_network                                    1
-    time_aggregation                                        1
-    total                                                  92
+```console
+job                                                 count
+------------------------------------------------  -------
+add_electricity                                         1
+add_transmission_projects_and_dlr                       1
+all                                                     1
+base_network                                            1
+build_ammonia_production                                1
+build_biomass_potentials                                1
+build_central_heating_temperature_profiles              1
+build_clustered_population_layouts                      1
+build_cop_profiles                                      1
+build_daily_heat_demand                                 1
+build_direct_heat_source_utilisation_profiles           1
+build_district_heat_share                               1
+build_electricity_demand                                1
+build_electricity_demand_base                           1
+build_energy_totals                                     1
+build_gas_input_locations                               1
+build_gas_network                                       1
+build_heat_totals                                       1
+build_hourly_heat_demand                                1
+build_industrial_distribution_key                       1
+build_industrial_energy_demand_per_country_today        1
+build_industrial_energy_demand_per_node                 1
+build_industrial_energy_demand_per_node_today           1
+build_industrial_production_per_country                 1
+build_industrial_production_per_country_tomorrow        1
+build_industrial_production_per_node                    1
+build_industry_sector_ratios                            1
+build_industry_sector_ratios_intermediate               1
+build_osm_boundaries                                    4
+build_population_layouts                                1
+build_population_weighted_energy_totals                 2
+build_powerplants                                       1
+build_renewable_profiles                                6
+build_salt_cavern_potentials                            1
+build_shapes                                            1
+build_ship_raster                                       1
+build_shipping_demand                                   1
+build_temperature_profiles                              1
+build_transmission_projects                             1
+build_transport_demand                                  1
+cluster_gas_network                                     1
+cluster_network                                         1
+determine_availability_matrix                           6
+make_summary                                            1
+plot_gas_network                                        1
+plot_hydrogen_network                                   1
+plot_power_network                                      1
+plot_power_network_clustered                            1
+plot_summary                                            1
+prepare_network                                         1
+prepare_sector_network                                  1
+retrieve_cost_data                                      1
+retrieve_databundle                                     1
+retrieve_eez                                            1
+retrieve_electricity_demand                             1
+retrieve_eurostat_data                                  1
+retrieve_eurostat_household_data                        1
+retrieve_gas_infrastructure_data                        1
+retrieve_gem_europe_gas_tracker                         1
+retrieve_gem_steel_plant_tracker                        1
+retrieve_hotmaps_industrial_sites                       1
+retrieve_jrc_ardeco                                     1
+retrieve_jrc_enspreso_biomass                           1
+retrieve_jrc_idees                                      1
+retrieve_nuts_2013_shapes                               1
+retrieve_nuts_2021_shapes                               1
+retrieve_osm_boundaries                                 4
+retrieve_osm_prebuilt                                   1
+retrieve_ship_raster                                    1
+retrieve_synthetic_electricity_demand                   1
+retrieve_usgs_ammonia_production                        1
+retrieve_worldbank_urban_population                     1
+simplify_network                                        1
+solve_sector_network                                    1
+time_aggregation                                        1
+total                                                  92
+```
 
 This covers the retrieval of additional raw data from online resources and
 preprocessing data about the transport, industry, and heating sectors as well as
@@ -151,921 +142,72 @@ infrastructure, and biomass potentials. The collection rule ``all`` will also
 generate summary CSV files and plots after the network has been solved
 successfully.
 
+[![Sector-coupled overnight DAG](img/dag_overnight.svg)](img/dag_overnight.svg)
 
+## Myopic Foresight Scenarios
 
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "all", color = "0.25 0.6 0.85", style="rounded"];
-            1[label = "plot_summary", color = "0.29 0.6 0.85", style="rounded"];
-            2[label = "make_summary", color = "0.30 0.6 0.85", style="rounded"];
-            3[label = "solve_sector_network", color = "0.34 0.6 0.85", style="rounded"];
-            4[label = "prepare_sector_network", color = "0.32 0.6 0.85", style="rounded"];
-            5[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            6[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.09 0.6 0.85", style="rounded"];
-            7[label = "retrieve_databundle", color = "0.45 0.6 0.85", style="rounded"];
-            8[label = "build_ship_raster", color = "0.11 0.6 0.85", style="rounded"];
-            9[label = "retrieve_ship_raster", color = "0.28 0.6 0.85", style="rounded"];
-            10[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.65 0.6 0.85", style="rounded"];
-            11[label = "build_shapes", color = "0.31 0.6 0.85", style="rounded"];
-            12[label = "retrieve_eez", color = "0.02 0.6 0.85", style="rounded"];
-            13[label = "retrieve_nuts_2021_shapes", color = "0.38 0.6 0.85", style="rounded"];
-            14[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            15[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.35 0.6 0.85", style="rounded"];
-            16[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            17[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.35 0.6 0.85", style="rounded"];
-            18[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            19[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.35 0.6 0.85", style="rounded"];
-            20[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            21[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.35 0.6 0.85", style="rounded"];
-            22[label = "retrieve_jrc_ardeco", color = "0.22 0.6 0.85", style="rounded"];
-            23[label = "cluster_network\nclusters: 5", color = "0.39 0.6 0.85", style="rounded"];
-            24[label = "simplify_network", color = "0.13 0.6 0.85", style="rounded"];
-            25[label = "add_transmission_projects_and_dlr", color = "0.44 0.6 0.85", style="rounded"];
-            26[label = "base_network", color = "0.62 0.6 0.85", style="rounded"];
-            27[label = "retrieve_osm_prebuilt", color = "0.52 0.6 0.85", style="rounded"];
-            28[label = "build_transmission_projects", color = "0.32 0.6 0.85", style="rounded"];
-            29[label = "build_electricity_demand_base", color = "0.47 0.6 0.85", style="rounded"];
-            30[label = "build_electricity_demand", color = "0.34 0.6 0.85", style="rounded"];
-            31[label = "retrieve_electricity_demand", color = "0.61 0.6 0.85", style="rounded"];
-            32[label = "retrieve_synthetic_electricity_demand", color = "0.56 0.6 0.85", style="rounded"];
-            33[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            34[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.09 0.6 0.85", style="rounded"];
-            35[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            36[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.09 0.6 0.85", style="rounded"];
-            37[label = "cluster_gas_network", color = "0.03 0.6 0.85", style="rounded"];
-            38[label = "build_gas_network", color = "0.50 0.6 0.85", style="rounded"];
-            39[label = "retrieve_gas_infrastructure_data", color = "0.49 0.6 0.85", style="rounded"];
-            40[label = "build_gas_input_locations", color = "0.23 0.6 0.85", style="rounded"];
-            41[label = "retrieve_gem_europe_gas_tracker", color = "0.33 0.6 0.85", style="rounded"];
-            42[label = "time_aggregation\nsector_opts: ", color = "0.06 0.6 0.85", style="rounded"];
-            43[label = "prepare_network\nopts: ", color = "0.00 0.6 0.85", style="rounded"];
-            44[label = "add_electricity", color = "0.15 0.6 0.85", style="rounded"];
-            45[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            46[label = "determine_availability_matrix\ntechnology: solar", color = "0.09 0.6 0.85", style="rounded"];
-            47[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            48[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.09 0.6 0.85", style="rounded"];
-            49[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            50[label = "determine_availability_matrix\ntechnology: onwind", color = "0.09 0.6 0.85", style="rounded"];
-            51[label = "retrieve_cost_data\nyear: 2040", color = "0.10 0.6 0.85", style="rounded"];
-            52[label = "build_powerplants", color = "0.42 0.6 0.85", style="rounded"];
-            53[label = "build_hourly_heat_demand", color = "0.41 0.6 0.85", style="rounded"];
-            54[label = "build_daily_heat_demand", color = "0.66 0.6 0.85", style="rounded"];
-            55[label = "build_population_layouts", color = "0.16 0.6 0.85", style="rounded"];
-            56[label = "retrieve_worldbank_urban_population", color = "0.12 0.6 0.85", style="rounded"];
-            57[label = "retrieve_eurostat_data", color = "0.38 0.6 0.85", style="rounded"];
-            58[label = "build_population_weighted_energy_totals\nkind: energy", color = "0.37 0.6 0.85", style="rounded"];
-            59[label = "build_energy_totals", color = "0.43 0.6 0.85", style="rounded"];
-            60[label = "retrieve_jrc_idees", color = "0.36 0.6 0.85", style="rounded"];
-            61[label = "retrieve_eurostat_household_data", color = "0.46 0.6 0.85", style="rounded"];
-            62[label = "build_clustered_population_layouts", color = "0.05 0.6 0.85", style="rounded"];
-            63[label = "build_population_weighted_energy_totals\nkind: heat", color = "0.37 0.6 0.85", style="rounded"];
-            64[label = "build_heat_totals", color = "0.04 0.6 0.85", style="rounded"];
-            65[label = "build_shipping_demand", color = "0.16 0.6 0.85", style="rounded"];
-            66[label = "build_transport_demand", color = "0.03 0.6 0.85", style="rounded"];
-            67[label = "build_temperature_profiles", color = "0.10 0.6 0.85", style="rounded"];
-            68[label = "build_biomass_potentials\nplanning_horizons: 2030", color = "0.20 0.6 0.85", style="rounded"];
-            69[label = "retrieve_jrc_enspreso_biomass", color = "0.49 0.6 0.85", style="rounded"];
-            70[label = "retrieve_nuts_2013_shapes", color = "0.57 0.6 0.85", style="rounded"];
-            71[label = "build_salt_cavern_potentials", color = "0.64 0.6 0.85", style="rounded"];
-            72[label = "build_industrial_energy_demand_per_node", color = "0.26 0.6 0.85", style="rounded"];
-            73[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2030", color = "0.24 0.6 0.85", style="rounded"];
-            74[label = "build_industry_sector_ratios", color = "0.27 0.6 0.85", style="rounded"];
-            75[label = "build_ammonia_production", color = "0.54 0.6 0.85", style="rounded"];
-            76[label = "retrieve_usgs_ammonia_production", color = "0.53 0.6 0.85", style="rounded"];
-            77[label = "build_industrial_energy_demand_per_country_today", color = "0.17 0.6 0.85", style="rounded"];
-            78[label = "build_industrial_production_per_country", color = "0.26 0.6 0.85", style="rounded"];
-            79[label = "build_industrial_production_per_node", color = "0.58 0.6 0.85", style="rounded"];
-            80[label = "build_industrial_distribution_key", color = "0.11 0.6 0.85", style="rounded"];
-            81[label = "retrieve_hotmaps_industrial_sites", color = "0.21 0.6 0.85", style="rounded"];
-            82[label = "retrieve_gem_steel_plant_tracker", color = "0.12 0.6 0.85", style="rounded"];
-            83[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2030", color = "0.54 0.6 0.85", style="rounded"];
-            84[label = "build_industrial_energy_demand_per_node_today", color = "0.55 0.6 0.85", style="rounded"];
-            85[label = "build_district_heat_share\nplanning_horizons: 2030", color = "0.31 0.6 0.85", style="rounded"];
-            86[label = "build_cop_profiles", color = "0.19 0.6 0.85", style="rounded"];
-            87[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2030", color = "0.17 0.6 0.85", style="rounded"];
-            88[label = "build_direct_heat_source_utilisation_profiles", color = "0.41 0.6 0.85", style="rounded"];
-            89[label = "plot_power_network_clustered", color = "0.58 0.6 0.85", style="rounded"];
-            90[label = "plot_power_network", color = "0.13 0.6 0.85", style="rounded"];
-            91[label = "plot_hydrogen_network", color = "0.24 0.6 0.85", style="rounded"];
-            92[label = "plot_gas_network", color = "0.04 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            57 -> 1
-            7 -> 1
-            3 -> 2
-            51 -> 2
-            89 -> 2
-            90 -> 2
-            91 -> 2
-            92 -> 2
-            4 -> 3
-            5 -> 4
-            33 -> 4
-            35 -> 4
-            37 -> 4
-            40 -> 4
-            42 -> 4
-            43 -> 4
-            57 -> 4
-            58 -> 4
-            63 -> 4
-            65 -> 4
-            66 -> 4
-            59 -> 4
-            7 -> 4
-            68 -> 4
-            51 -> 4
-            71 -> 4
-            24 -> 4
-            23 -> 4
-            62 -> 4
-            72 -> 4
-            53 -> 4
-            79 -> 4
-            85 -> 4
-            67 -> 4
-            86 -> 4
-            88 -> 4
-            6 -> 5
-            11 -> 5
-            23 -> 5
-            10 -> 5
-            7 -> 6
-            8 -> 6
-            11 -> 6
-            23 -> 6
-            10 -> 6
-            9 -> 8
-            10 -> 8
-            12 -> 11
-            13 -> 11
-            14 -> 11
-            16 -> 11
-            18 -> 11
-            20 -> 11
-            22 -> 11
-            7 -> 11
-            15 -> 14
-            12 -> 14
-            17 -> 16
-            12 -> 16
-            19 -> 18
-            12 -> 18
-            21 -> 20
-            12 -> 20
-            24 -> 23
-            29 -> 23
-            25 -> 24
-            26 -> 24
-            26 -> 25
-            28 -> 25
-            27 -> 26
-            11 -> 26
-            26 -> 28
-            11 -> 28
-            24 -> 29
-            11 -> 29
-            30 -> 29
-            31 -> 30
-            32 -> 30
-            34 -> 33
-            11 -> 33
-            23 -> 33
-            10 -> 33
-            7 -> 34
-            8 -> 34
-            11 -> 34
-            23 -> 34
-            10 -> 34
-            36 -> 35
-            11 -> 35
-            23 -> 35
-            10 -> 35
-            7 -> 36
-            8 -> 36
-            11 -> 36
-            23 -> 36
-            10 -> 36
-            38 -> 37
-            23 -> 37
-            39 -> 38
-            41 -> 40
-            39 -> 40
-            23 -> 40
-            43 -> 42
-            53 -> 42
-            44 -> 43
-            51 -> 43
-            45 -> 44
-            47 -> 44
-            49 -> 44
-            5 -> 44
-            33 -> 44
-            35 -> 44
-            23 -> 44
-            51 -> 44
-            52 -> 44
-            29 -> 44
-            46 -> 45
-            11 -> 45
-            23 -> 45
-            10 -> 45
-            7 -> 46
-            11 -> 46
-            23 -> 46
-            10 -> 46
-            48 -> 47
-            11 -> 47
-            23 -> 47
-            10 -> 47
-            7 -> 48
-            11 -> 48
-            23 -> 48
-            10 -> 48
-            50 -> 49
-            11 -> 49
-            23 -> 49
-            10 -> 49
-            7 -> 50
-            11 -> 50
-            23 -> 50
-            10 -> 50
-            23 -> 52
-            54 -> 53
-            55 -> 54
-            23 -> 54
-            10 -> 54
-            11 -> 55
-            56 -> 55
-            10 -> 55
-            59 -> 58
-            62 -> 58
-            11 -> 59
-            7 -> 59
-            60 -> 59
-            57 -> 59
-            61 -> 59
-            55 -> 62
-            23 -> 62
-            10 -> 62
-            64 -> 63
-            62 -> 63
-            59 -> 64
-            11 -> 65
-            23 -> 65
-            59 -> 65
-            62 -> 66
-            58 -> 66
-            59 -> 66
-            7 -> 66
-            67 -> 66
-            55 -> 67
-            23 -> 67
-            10 -> 67
-            69 -> 68
-            57 -> 68
-            70 -> 68
-            23 -> 68
-            7 -> 68
-            11 -> 68
-            7 -> 71
-            23 -> 71
-            73 -> 72
-            79 -> 72
-            84 -> 72
-            74 -> 73
-            77 -> 73
-            78 -> 73
-            75 -> 74
-            60 -> 74
-            76 -> 75
-            59 -> 77
-            60 -> 77
-            78 -> 77
-            75 -> 78
-            60 -> 78
-            57 -> 78
-            80 -> 79
-            83 -> 79
-            23 -> 80
-            62 -> 80
-            81 -> 80
-            82 -> 80
-            78 -> 83
-            80 -> 84
-            77 -> 84
-            59 -> 85
-            62 -> 85
-            87 -> 86
-            67 -> 86
-            23 -> 86
-            67 -> 87
-            23 -> 87
-            87 -> 88
-            23 -> 89
-            3 -> 90
-            23 -> 90
-            3 -> 91
-            23 -> 91
-            3 -> 92
-            23 -> 92
-    }
-
-|
-
-Myopic Foresight Scenarios
-===================================
-
-Configuration
--------------
+### Configuration
 
 To activate the myopic foresight mode, set
 
-.. code:: yaml
-
-    foresight: myopic
+```yaml
+{{ yaml_section("foresight", source="test/config.myopic.yaml") }}
+```
 
 Scenarios can be defined like for electricity-only studies, but with additional
 wildcard options. For the myopic foresight mode, the ``{planning_horizons}`` wildcard
 defines the sequence of investment horizons.
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: countries:
+```yaml
+{{ yaml_section("scenario", source="test/config.myopic.yaml") }}
+```
 
-For allowed wildcard values, refer to :ref:`wildcards`.
+For allowed wildcard values, refer to [Wildcards](wildcards.md).
 
 In the myopic foresight mode, you can tweak for instance exogenously given transition paths, like the one for
 the share of primary steel production we change below:
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: industry:
-   :end-before: solving:
+```yaml
+{{ yaml_section("industry", source="test/config.myopic.yaml") }}
+```
 
-Documentation for all options will be added successively to :ref:`config`.
+Documentation for all options will be added successively to [Configuration](configuration.md).
 
-Execution
----------
+### Execution
 
 To run a myopic foresight scenario with the specifications above, run
 
-.. code:: console
-
-    $ snakemake -call all --configfile config/test/config.myopic.yaml
+```console
+$ snakemake -call all --configfile config/test/config.myopic.yaml
+```
 
 which will result in additional jobs ``snakemake`` wants to run, which
 translates to the following workflow diagram which nicely outlines how the
 sequential pathway optimisation with myopic foresight is implemented in the
 workflow:
 
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "all", color = "0.50 0.6 0.85", style="rounded"];
-            1[label = "plot_summary", color = "0.26 0.6 0.85", style="rounded"];
-            2[label = "make_summary", color = "0.51 0.6 0.85", style="rounded"];
-            3[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            4[label = "add_existing_baseyear", color = "0.26 0.6 0.85", style="rounded"];
-            5[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            6[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            7[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.58 0.6 0.85", style="rounded"];
-            8[label = "retrieve_databundle", color = "0.28 0.6 0.85", style="rounded"];
-            9[label = "build_ship_raster", color = "0.07 0.6 0.85", style="rounded"];
-            10[label = "retrieve_ship_raster", color = "0.37 0.6 0.85", style="rounded"];
-            11[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.55 0.6 0.85", style="rounded,dashed"];
-            12[label = "build_shapes", color = "0.00 0.6 0.85", style="rounded"];
-            13[label = "retrieve_eez", color = "0.66 0.6 0.85", style="rounded"];
-            14[label = "retrieve_nuts_2021_shapes", color = "0.60 0.6 0.85", style="rounded"];
-            15[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            16[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.23 0.6 0.85", style="rounded"];
-            17[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            18[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.23 0.6 0.85", style="rounded"];
-            19[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            20[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.23 0.6 0.85", style="rounded"];
-            21[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            22[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.23 0.6 0.85", style="rounded"];
-            23[label = "retrieve_jrc_ardeco", color = "0.29 0.6 0.85", style="rounded"];
-            24[label = "cluster_network\nclusters: 5", color = "0.30 0.6 0.85", style="rounded"];
-            25[label = "simplify_network", color = "0.02 0.6 0.85", style="rounded"];
-            26[label = "add_transmission_projects_and_dlr", color = "0.60 0.6 0.85", style="rounded"];
-            27[label = "base_network", color = "0.30 0.6 0.85", style="rounded"];
-            28[label = "retrieve_osm_prebuilt", color = "0.43 0.6 0.85", style="rounded"];
-            29[label = "build_transmission_projects", color = "0.51 0.6 0.85", style="rounded"];
-            30[label = "build_electricity_demand_base", color = "0.64 0.6 0.85", style="rounded"];
-            31[label = "build_electricity_demand", color = "0.16 0.6 0.85", style="rounded"];
-            32[label = "retrieve_electricity_demand", color = "0.33 0.6 0.85", style="rounded"];
-            33[label = "retrieve_synthetic_electricity_demand", color = "0.56 0.6 0.85", style="rounded"];
-            34[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            35[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.58 0.6 0.85", style="rounded"];
-            36[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            37[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.58 0.6 0.85", style="rounded"];
-            38[label = "cluster_gas_network", color = "0.13 0.6 0.85", style="rounded"];
-            39[label = "build_gas_network", color = "0.22 0.6 0.85", style="rounded"];
-            40[label = "retrieve_gas_infrastructure_data", color = "0.33 0.6 0.85", style="rounded"];
-            41[label = "build_gas_input_locations", color = "0.12 0.6 0.85", style="rounded"];
-            42[label = "retrieve_gem_europe_gas_tracker", color = "0.17 0.6 0.85", style="rounded"];
-            43[label = "time_aggregation\nsector_opts: ", color = "0.40 0.6 0.85", style="rounded"];
-            44[label = "prepare_network\nopts: ", color = "0.09 0.6 0.85", style="rounded"];
-            45[label = "add_electricity", color = "0.03 0.6 0.85", style="rounded"];
-            46[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            47[label = "determine_availability_matrix\ntechnology: solar", color = "0.58 0.6 0.85", style="rounded"];
-            48[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            49[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.58 0.6 0.85", style="rounded"];
-            50[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            51[label = "determine_availability_matrix\ntechnology: onwind", color = "0.58 0.6 0.85", style="rounded"];
-            52[label = "retrieve_cost_data\nyear: 2040", color = "0.08 0.6 0.85", style="rounded"];
-            53[label = "build_powerplants", color = "0.63 0.6 0.85", style="rounded"];
-            54[label = "build_hourly_heat_demand", color = "0.27 0.6 0.85", style="rounded"];
-            55[label = "build_daily_heat_demand", color = "0.02 0.6 0.85", style="rounded"];
-            56[label = "build_population_layouts", color = "0.47 0.6 0.85", style="rounded"];
-            57[label = "retrieve_worldbank_urban_population", color = "0.36 0.6 0.85", style="rounded"];
-            58[label = "retrieve_eurostat_data", color = "0.39 0.6 0.85", style="rounded"];
-            59[label = "build_population_weighted_energy_totals\nkind: energy", color = "0.55 0.6 0.85", style="rounded"];
-            60[label = "build_energy_totals", color = "0.57 0.6 0.85", style="rounded"];
-            61[label = "retrieve_jrc_idees", color = "0.01 0.6 0.85", style="rounded"];
-            62[label = "retrieve_eurostat_household_data", color = "0.28 0.6 0.85", style="rounded"];
-            63[label = "build_clustered_population_layouts", color = "0.61 0.6 0.85", style="rounded"];
-            64[label = "build_population_weighted_energy_totals\nkind: heat", color = "0.55 0.6 0.85", style="rounded"];
-            65[label = "build_heat_totals", color = "0.44 0.6 0.85", style="rounded"];
-            66[label = "build_shipping_demand", color = "0.14 0.6 0.85", style="rounded"];
-            67[label = "build_transport_demand", color = "0.34 0.6 0.85", style="rounded"];
-            68[label = "build_temperature_profiles", color = "0.31 0.6 0.85", style="rounded"];
-            69[label = "build_biomass_potentials\nplanning_horizons: 2030", color = "0.15 0.6 0.85", style="rounded"];
-            70[label = "retrieve_jrc_enspreso_biomass", color = "0.52 0.6 0.85", style="rounded"];
-            71[label = "retrieve_nuts_2013_shapes", color = "0.24 0.6 0.85", style="rounded"];
-            72[label = "retrieve_cost_data\nyear: 2030", color = "0.08 0.6 0.85", style="rounded"];
-            73[label = "build_salt_cavern_potentials", color = "0.05 0.6 0.85", style="rounded"];
-            74[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            75[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2030", color = "0.49 0.6 0.85", style="rounded"];
-            76[label = "build_industry_sector_ratios", color = "0.39 0.6 0.85", style="rounded"];
-            77[label = "build_ammonia_production", color = "0.11 0.6 0.85", style="rounded"];
-            78[label = "retrieve_usgs_ammonia_production", color = "0.36 0.6 0.85", style="rounded"];
-            79[label = "build_industrial_energy_demand_per_country_today", color = "0.41 0.6 0.85", style="rounded"];
-            80[label = "build_industrial_production_per_country", color = "0.08 0.6 0.85", style="rounded"];
-            81[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            82[label = "build_industrial_distribution_key", color = "0.34 0.6 0.85", style="rounded"];
-            83[label = "retrieve_hotmaps_industrial_sites", color = "0.24 0.6 0.85", style="rounded"];
-            84[label = "retrieve_gem_steel_plant_tracker", color = "0.10 0.6 0.85", style="rounded"];
-            85[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2030", color = "0.07 0.6 0.85", style="rounded"];
-            86[label = "build_industrial_energy_demand_per_node_today", color = "0.37 0.6 0.85", style="rounded"];
-            87[label = "build_district_heat_share\nplanning_horizons: 2030", color = "0.20 0.6 0.85", style="rounded"];
-            88[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            89[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2030", color = "0.06 0.6 0.85", style="rounded"];
-            90[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            91[label = "build_existing_heating_distribution", color = "0.46 0.6 0.85", style="rounded"];
-            92[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            93[label = "add_brownfield", color = "0.54 0.6 0.85", style="rounded"];
-            94[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            95[label = "build_biomass_potentials\nplanning_horizons: 2040", color = "0.15 0.6 0.85", style="rounded"];
-            96[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            97[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2040", color = "0.49 0.6 0.85", style="rounded"];
-            98[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            99[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2040", color = "0.07 0.6 0.85", style="rounded"];
-            100[label = "build_district_heat_share\nplanning_horizons: 2040", color = "0.20 0.6 0.85", style="rounded"];
-            101[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            102[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2040", color = "0.06 0.6 0.85", style="rounded"];
-            103[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            104[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            105[label = "add_brownfield", color = "0.54 0.6 0.85", style="rounded"];
-            106[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            107[label = "build_biomass_potentials\nplanning_horizons: 2050", color = "0.15 0.6 0.85", style="rounded"];
-            108[label = "retrieve_cost_data\nyear: 2050", color = "0.08 0.6 0.85", style="rounded"];
-            109[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            110[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2050", color = "0.49 0.6 0.85", style="rounded"];
-            111[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            112[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2050", color = "0.07 0.6 0.85", style="rounded"];
-            113[label = "build_district_heat_share\nplanning_horizons: 2050", color = "0.20 0.6 0.85", style="rounded"];
-            114[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            115[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2050", color = "0.06 0.6 0.85", style="rounded"];
-            116[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            117[label = "plot_power_network_clustered", color = "0.40 0.6 0.85", style="rounded"];
-            118[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            119[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            120[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            121[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            122[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            123[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            124[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            125[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            126[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            58 -> 1
-            8 -> 1
-            3 -> 2
-            92 -> 2
-            104 -> 2
-            72 -> 2
-            117 -> 2
-            118 -> 2
-            119 -> 2
-            120 -> 2
-            121 -> 2
-            122 -> 2
-            123 -> 2
-            124 -> 2
-            125 -> 2
-            126 -> 2
-            4 -> 3
-            72 -> 3
-            5 -> 4
-            53 -> 4
-            25 -> 4
-            24 -> 4
-            63 -> 4
-            72 -> 4
-            88 -> 4
-            91 -> 4
-            60 -> 4
-            6 -> 5
-            34 -> 5
-            36 -> 5
-            38 -> 5
-            41 -> 5
-            43 -> 5
-            44 -> 5
-            58 -> 5
-            59 -> 5
-            64 -> 5
-            66 -> 5
-            67 -> 5
-            60 -> 5
-            8 -> 5
-            69 -> 5
-            72 -> 5
-            73 -> 5
-            25 -> 5
-            24 -> 5
-            63 -> 5
-            74 -> 5
-            54 -> 5
-            81 -> 5
-            87 -> 5
-            68 -> 5
-            88 -> 5
-            90 -> 5
-            7 -> 6
-            12 -> 6
-            24 -> 6
-            11 -> 6
-            8 -> 7
-            9 -> 7
-            12 -> 7
-            24 -> 7
-            11 -> 7
-            10 -> 9
-            11 -> 9
-            13 -> 12
-            14 -> 12
-            15 -> 12
-            17 -> 12
-            19 -> 12
-            21 -> 12
-            23 -> 12
-            8 -> 12
-            16 -> 15
-            13 -> 15
-            18 -> 17
-            13 -> 17
-            20 -> 19
-            13 -> 19
-            22 -> 21
-            13 -> 21
-            25 -> 24
-            30 -> 24
-            26 -> 25
-            27 -> 25
-            27 -> 26
-            29 -> 26
-            28 -> 27
-            12 -> 27
-            27 -> 29
-            12 -> 29
-            25 -> 30
-            12 -> 30
-            31 -> 30
-            32 -> 31
-            33 -> 31
-            35 -> 34
-            12 -> 34
-            24 -> 34
-            11 -> 34
-            8 -> 35
-            9 -> 35
-            12 -> 35
-            24 -> 35
-            11 -> 35
-            37 -> 36
-            12 -> 36
-            24 -> 36
-            11 -> 36
-            8 -> 37
-            9 -> 37
-            12 -> 37
-            24 -> 37
-            11 -> 37
-            39 -> 38
-            24 -> 38
-            40 -> 39
-            42 -> 41
-            40 -> 41
-            24 -> 41
-            44 -> 43
-            54 -> 43
-            45 -> 44
-            52 -> 44
-            46 -> 45
-            48 -> 45
-            50 -> 45
-            6 -> 45
-            34 -> 45
-            36 -> 45
-            24 -> 45
-            52 -> 45
-            53 -> 45
-            30 -> 45
-            47 -> 46
-            12 -> 46
-            24 -> 46
-            11 -> 46
-            8 -> 47
-            12 -> 47
-            24 -> 47
-            11 -> 47
-            49 -> 48
-            12 -> 48
-            24 -> 48
-            11 -> 48
-            8 -> 49
-            12 -> 49
-            24 -> 49
-            11 -> 49
-            51 -> 50
-            12 -> 50
-            24 -> 50
-            11 -> 50
-            8 -> 51
-            12 -> 51
-            24 -> 51
-            11 -> 51
-            24 -> 53
-            55 -> 54
-            56 -> 55
-            24 -> 55
-            11 -> 55
-            12 -> 56
-            57 -> 56
-            11 -> 56
-            60 -> 59
-            63 -> 59
-            12 -> 60
-            8 -> 60
-            61 -> 60
-            58 -> 60
-            62 -> 60
-            56 -> 63
-            24 -> 63
-            11 -> 63
-            65 -> 64
-            63 -> 64
-            60 -> 65
-            12 -> 66
-            24 -> 66
-            60 -> 66
-            63 -> 67
-            59 -> 67
-            60 -> 67
-            8 -> 67
-            68 -> 67
-            56 -> 68
-            24 -> 68
-            11 -> 68
-            70 -> 69
-            58 -> 69
-            71 -> 69
-            24 -> 69
-            8 -> 69
-            12 -> 69
-            8 -> 73
-            24 -> 73
-            75 -> 74
-            81 -> 74
-            86 -> 74
-            76 -> 75
-            79 -> 75
-            80 -> 75
-            77 -> 76
-            61 -> 76
-            78 -> 77
-            60 -> 79
-            61 -> 79
-            80 -> 79
-            77 -> 80
-            61 -> 80
-            58 -> 80
-            82 -> 81
-            85 -> 81
-            24 -> 82
-            63 -> 82
-            83 -> 82
-            84 -> 82
-            80 -> 85
-            82 -> 86
-            79 -> 86
-            60 -> 87
-            63 -> 87
-            89 -> 88
-            68 -> 88
-            24 -> 88
-            68 -> 89
-            24 -> 89
-            89 -> 90
-            63 -> 91
-            59 -> 91
-            87 -> 91
-            93 -> 92
-            52 -> 92
-            46 -> 93
-            48 -> 93
-            50 -> 93
-            6 -> 93
-            34 -> 93
-            36 -> 93
-            25 -> 93
-            24 -> 93
-            94 -> 93
-            3 -> 93
-            52 -> 93
-            101 -> 93
-            6 -> 94
-            34 -> 94
-            36 -> 94
-            38 -> 94
-            41 -> 94
-            43 -> 94
-            44 -> 94
-            58 -> 94
-            59 -> 94
-            64 -> 94
-            66 -> 94
-            67 -> 94
-            60 -> 94
-            8 -> 94
-            95 -> 94
-            52 -> 94
-            73 -> 94
-            25 -> 94
-            24 -> 94
-            63 -> 94
-            96 -> 94
-            54 -> 94
-            98 -> 94
-            100 -> 94
-            68 -> 94
-            101 -> 94
-            103 -> 94
-            70 -> 95
-            58 -> 95
-            71 -> 95
-            24 -> 95
-            8 -> 95
-            12 -> 95
-            97 -> 96
-            98 -> 96
-            86 -> 96
-            76 -> 97
-            79 -> 97
-            80 -> 97
-            82 -> 98
-            99 -> 98
-            80 -> 99
-            60 -> 100
-            63 -> 100
-            102 -> 101
-            68 -> 101
-            24 -> 101
-            68 -> 102
-            24 -> 102
-            102 -> 103
-            105 -> 104
-            108 -> 104
-            46 -> 105
-            48 -> 105
-            50 -> 105
-            6 -> 105
-            34 -> 105
-            36 -> 105
-            25 -> 105
-            24 -> 105
-            106 -> 105
-            92 -> 105
-            108 -> 105
-            114 -> 105
-            6 -> 106
-            34 -> 106
-            36 -> 106
-            38 -> 106
-            41 -> 106
-            43 -> 106
-            44 -> 106
-            58 -> 106
-            59 -> 106
-            64 -> 106
-            66 -> 106
-            67 -> 106
-            60 -> 106
-            8 -> 106
-            107 -> 106
-            108 -> 106
-            73 -> 106
-            25 -> 106
-            24 -> 106
-            63 -> 106
-            109 -> 106
-            54 -> 106
-            111 -> 106
-            113 -> 106
-            68 -> 106
-            114 -> 106
-            116 -> 106
-            70 -> 107
-            58 -> 107
-            71 -> 107
-            24 -> 107
-            8 -> 107
-            12 -> 107
-            110 -> 109
-            111 -> 109
-            86 -> 109
-            76 -> 110
-            79 -> 110
-            80 -> 110
-            82 -> 111
-            112 -> 111
-            80 -> 112
-            60 -> 113
-            63 -> 113
-            115 -> 114
-            68 -> 114
-            24 -> 114
-            68 -> 115
-            24 -> 115
-            115 -> 116
-            24 -> 117
-            3 -> 118
-            24 -> 118
-            92 -> 119
-            24 -> 119
-            104 -> 120
-            24 -> 120
-            3 -> 121
-            24 -> 121
-            92 -> 122
-            24 -> 122
-            104 -> 123
-            24 -> 123
-            3 -> 124
-            24 -> 124
-            92 -> 125
-            24 -> 125
-            104 -> 126
-            24 -> 126
-    }    
-
-|
+[![Sector-coupled myopic DAG](img/dag_myopic.svg)](img/dag_myopic.svg)
 
+!!! note
+    The above DAG is abbreviated. The full DAG for the myopic foresight scenario
+    contains all intermediate rules for each planning horizon (2030, 2040, 2050).
 
-Scaling-Up
-==========
+## Scaling-Up
 
 If you now feel confident and want to tackle runs with larger temporal, technological and
 spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
 target the collection rule ``all`` again without providing the test
 configuration file.
 
-.. code:: console
-
-    $ snakemake -call purge
-    $ snakemake -call all
-
-.. note::
+```console
+$ snakemake -call purge
+$ snakemake -call all
+```
 
+!!! note
     It is good practice to perform a dry-run using the option `-n`, before you
     commit to a run:
 
-    .. code:: console
-
-        $ snakemake -call all -n
+    ```console
+    $ snakemake -call all -n
+    ```
diff --git a/doc/validation.md b/doc/validation.md
index 877f230b29..9397f5f557 100644
--- a/doc/validation.md
+++ b/doc/validation.md
@@ -1,33 +1,23 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Validation
-##########################################
+# Validation
 
 The PyPSA-Eur model workflow has been validated by contrasting the outcomes of network optimization against the historical behaviour of the European power system.
 These comparisons utilize data from the 2019 ENTSO-E Transparency Platform.
-The setup uses monthly varying fuel prices for gas, lignite, coal and oil as well as CO2 prices, which are created by the script :mod:`build_monthly_prices`.
+The setup uses monthly varying fuel prices for gas, lignite, coal and oil as well as CO2 prices, which are created by the script [build_monthly_prices][].
 
 The comparison with the historical data shows partially accurate, partially improvable results. The following figures show the comparison of the dispatch of the different carriers.
 
-.. image:: img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png
-   :width: 100%
-   :align: center
+![Validation seasonal operation area](img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png){width=100%}
 
-.. image:: img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png
-   :width: 100%
-   :align: center
+![Validation production bar](img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png){width=100%}
 
-
-
-Issues and possible improvements
---------------------------------
+## Issues and possible improvements
 
 **Overestimated dispatch of wind and solar:** Renewable potentials of wind and solar are slightly overestimated in the model. This leads to a higher dispatch of these carriers than in the historical data. In particular, the solar dispatch during winter is overestimated.
 
-**Coal - Lignite fuel switch:** The model has a fuel switch from coal to lignite. This might result from non-captured subsidies for lignite and coal in the model. In order to fix the fuel switch from coal to lignite, a manual cost correction was added to the script ``build_monthly_prices``.
+**Coal - Lignite fuel switch:** The model has a fuel switch from coal to lignite. This might result from non-captured subsidies for lignite and coal in the model. In order to fix the fuel switch from coal to lignite, a manual cost correction was added to the script `build_monthly_prices`.
 
 **Planned outages of nuclear power plants:** Planned outages of nuclear power plants are not captured in the model. This leads to a underestimated dispatch of nuclear power plants in winter and a overestimated dispatch in summer. This point is hard to fix, since the planned outages are not published in the ENTSO-E Transparency Platform.
 
diff --git a/doc/validation_dev.md b/doc/validation_dev.md
index ee246d3f3f..0baedf130a 100644
--- a/doc/validation_dev.md
+++ b/doc/validation_dev.md
@@ -1,176 +1,164 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Validation
-##########################################
+# Validation
 
-PyPSA-Eur uses `Pydantic <https://docs.pydantic.dev/>`_ models for validation.
+PyPSA-Eur uses [Pydantic](https://docs.pydantic.dev/) models for validation.
 This system provides type checking, default values, and documentation in a single place.
 
-Configuration
-=============
+## Configuration
 
 The configuration validation system consists of:
 
-- **Pydantic models** in ``scripts/lib/validation/config/`` that define all options and validates the snakemake config.
-- **Auto-generated files**: ``config/config.default.yaml`` and ``config/schema.default.json``.
+- **Pydantic models** in `scripts/lib/validation/config/` that define all options and validates the snakemake config.
+- **Auto-generated files**: `config/config.default.yaml` and `config/schema.default.json`.
 
-Adding a New Config Option
---------------------------
+### Adding a New Config Option
 
 To add a new option to an existing config section, edit the corresponding module in
-``scripts/lib/validation/config/``. Each field uses Pydantic's ``Field()`` function.
+`scripts/lib/validation/config/`. Each field uses Pydantic's `Field()` function.
 
-For example, the ``logging`` section in ``scripts/lib/validation/config/__init__.py``:
+For example, the `logging` section in `scripts/lib/validation/config/__init__.py`:
 
-.. code-block:: python
+```python
+from typing import Literal
+from pydantic import Field
+from scripts.lib.validation.config._base import ConfigModel
 
-   from typing import Literal
-   from pydantic import Field
-   from scripts.lib.validation.config._base import ConfigModel
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
 
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
+    # ... existing fields ...
 
-       # ... existing fields ...
+    # An option with default 0.5, float type and between 0 and 1. If anything else is passed,
+    # the validation will fail
+    new_option: float = Field(
+        0.5,  # default value
+        description="Threshold for the new feature.",  # shown in docs and IDE
+        ge=0,  # greater than or equal
+        le=1,  # less than or equal
+        examples=[0.3, 0.7],  # example values for docs
+    )
+```
 
-       # An option with default 0.5, float type and between 0 and 1. If anything else is passed,
-       # the validation will fail
-       new_option: float = Field(
-           0.5,  # default value
-           description="Threshold for the new feature.",  # shown in docs and IDE
-           ge=0,  # greater than or equal
-           le=1,  # less than or equal
-           examples=[0.3, 0.7],  # example values for docs
-       )
+For more Field parameters, see the [Pydantic Field documentation](https://docs.pydantic.dev/latest/concepts/fields/).
 
-For more Field parameters, see the `Pydantic Field documentation <https://docs.pydantic.dev/latest/concepts/fields/>`__.
-
-.. note::
+!!! note
     If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
-    you should instead use the config updater class described in :ref:`soft_fork_ext`.
+    you should instead use the config updater class described in [Extending for Soft-Forks](#soft_fork_ext).
 
-Adding a New Config Section
----------------------------
+### Adding a New Config Section
 
 To add a nested config section, define a helper class and add it to an existing config.
-For example, adding a ``file`` section to ``LoggingConfig``:
-
-.. code-block:: python
+For example, adding a `file` section to `LoggingConfig`:
 
-   class _LoggingFileConfig(ConfigModel):
-       """Configuration for logging to file."""
+```python
+class _LoggingFileConfig(ConfigModel):
+    """Configuration for logging to file."""
 
-       enabled: bool = Field(False, description="Enable file logging.")
-       path: str = Field("logs/pypsa.log", description="Log file path.")
-       format: str | None = Field(None, description="Custom log format for that file.")
+    enabled: bool = Field(False, description="Enable file logging.")
+    path: str = Field("logs/pypsa.log", description="Log file path.")
+    format: str | None = Field(None, description="Custom log format for that file.")
 
 
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
 
-       # ... existing fields ...
-
-       file: _LoggingFileConfig = Field(
-           default_factory=_LoggingFileConfig,
-           description="File logging configuration.",
-       )
+    # ... existing fields ...
 
+    file: _LoggingFileConfig = Field(
+        default_factory=_LoggingFileConfig,
+        description="File logging configuration.",
+    )
+```
 
 There is one python module for each top level configuration. Helper classes for nested
-keys usee underscore prefix (e.g., ``_LoggingFileConfig``) by convention.
+keys usee underscore prefix (e.g., `_LoggingFileConfig`) by convention.
 
-.. note::
+!!! note
     If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
-    you should instead use the config updater class described in :ref:`soft_fork_ext`.
+    you should instead use the config updater class described in [Extending for Soft-Forks](#soft_fork_ext).
 
-Regenerating Config Files
--------------------------
+### Regenerating Config Files
 
-Snakemake will only read from the ``config/config.default.yaml``, which needs to be generated
+Snakemake will only read from the `config/config.default.yaml`, which needs to be generated
 after making changes to the Pydantic model. To regenerate the default config and JSON
 schema:
 
-.. code-block:: console
-
-   $ pixi run generate-config
+```console
+$ pixi run generate-config
+```
 
-This updates ``config/config.default.yaml`` and ``config/schema.default.json``.
+This updates `config/config.default.yaml` and `config/schema.default.json`.
 For example, the two examples above would now generate:
 
-.. code-block:: yaml
-
-   logging:
-     level: INFO
-     format: "%(levelname)s:%(name)s:%(message)s"
-     new_option: 0.5
-     file:
-       enabled: false
-       path: logs/pypsa.log
-       format: null
+```yaml
+logging:
+  level: INFO
+  format: "%(levelname)s:%(name)s:%(message)s"
+  new_option: 0.5
+  file:
+    enabled: false
+    path: logs/pypsa.log
+    format: null
+```
 
 Always commit these regenerated files alongside your model changes.
 
-Custom Validators
------------------
+### Custom Validators
 
 For validation logic beyond simple type checks and constraints, Pydantic provides
-``field_validator`` (for single fields) and ``model_validator`` (for cross-field validation).
+`field_validator` (for single fields) and `model_validator` (for cross-field validation).
 
 **Field Validator**: Validate a single field's value. For example, ensuring the log level
 is uppercase:
 
-.. code-block:: python
-
-   from pydantic import Field, field_validator
-   from scripts.lib.validation.config._base import ConfigModel
+```python
+from pydantic import Field, field_validator
+from scripts.lib.validation.config._base import ConfigModel
 
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
 
-       level: str = Field("INFO", description="Logging level.")
+    level: str = Field("INFO", description="Logging level.")
 
-       @field_validator("level")
-       @classmethod
-       def validate_level(cls, v):
-           if v.upper() != v:
-               raise ValueError("Logging level must be uppercase (e.g., 'INFO', 'DEBUG').")
-           return v
+    @field_validator("level")
+    @classmethod
+    def validate_level(cls, v):
+        if v.upper() != v:
+            raise ValueError("Logging level must be uppercase (e.g., 'INFO', 'DEBUG').")
+        return v
+```
 
 **Model Validator**: Validate relationships between multiple fields. For example,
 ensuring the file path is set when file logging is enabled:
 
-.. code-block:: python
-
-   from pydantic import Field, model_validator
-   from scripts.lib.validation.config._base import ConfigModel
+```python
+from pydantic import Field, model_validator
+from scripts.lib.validation.config._base import ConfigModel
 
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
 
-       file_enabled: bool = Field(False, description="Enable file logging.")
-       file_path: str | None = Field(None, description="Log file path.")
+    file_enabled: bool = Field(False, description="Enable file logging.")
+    file_path: str | None = Field(None, description="Log file path.")
 
-       @model_validator
-       def check_file_path_required(self):
-           if self.file_enabled and not self.file_path:
-               raise ValueError("file_path is required when file_enabled is True.")
-           return self
+    @model_validator
+    def check_file_path_required(self):
+        if self.file_enabled and not self.file_path:
+            raise ValueError("file_path is required when file_enabled is True.")
+        return self
+```
 
 Again, find more information in the Pydantic documentation on
-`Field Validators <https://docs.pydantic.dev/latest/concepts/validators/#field-validators>`_
-and `Model Validators <https://docs.pydantic.dev/latest/concepts/validators/#model-validators>`_.
+[Field Validators](https://docs.pydantic.dev/latest/concepts/validators/#field-validators)
+and [Model Validators](https://docs.pydantic.dev/latest/concepts/validators/#model-validators).
 
-.. _soft_fork_ext:
-
-Extending for Soft-Forks
-------------------------
+### Extending for Soft-Forks {#soft_fork_ext}
 
 If you maintain a soft-fork of PyPSA-Eur with custom config options, you have two approaches:
 
-**Allow extra fields**: The ``ConfigSchema`` uses ``extra="allow"`` by default, so
+**Allow extra fields**: The `ConfigSchema` uses `extra="allow"` by default, so
 unrecognized config keys won't cause validation errors. Your custom options will pass
 through without type checking. Only if you changed existing config settings, you will
 need to adjust the schema. But you will lose the sync of Pydantic model and defaults
@@ -183,89 +171,93 @@ You impose config changes in subclasses of the base class and by importing those
 
 In the below example, two updates are made to the default config.
 
-.. code-block:: python
-
-    from typing import Literal
-
-    from pydantic import BaseModel, Field
+```python
+from typing import Literal
 
-    from scripts.lib.validation.config._base import ConfigUpdater
-    from scripts.lib.validation.config._schema import ConfigSchema
+from pydantic import BaseModel, Field
 
+from scripts.lib.validation.config._base import ConfigUpdater
+from scripts.lib.validation.config._schema import ConfigSchema
 
-    class ClusteringConfigUpdater(ConfigUpdater):
-        name: str = "update_clustering"
-        docs_url: str | None = None # no attempt will be made at updating the URL.
 
-        def update(self) -> type[ConfigSchema]:
-            # To update and existing config item, we need it's most recent state, as defined in `self.base_config`
-            clustering_config = self.base_config().clustering.__class__
-            mode_config = clustering_config.model_fields["mode"]
+class ClusteringConfigUpdater(ConfigUpdater):
+    name: str = "update_clustering"
+    docs_url: str | None = None # no attempt will be made at updating the URL.
 
-            current_description = mode_config.description or ""
-            new_description = current_description + " (extra) foobar: new item."
-            new_list = Literal[mode_config.annotation, "foobar"]
+    def update(self) -> type[ConfigSchema]:
+        # To update and existing config item, we need it's most recent state, as defined in `self.base_config`
+        clustering_config = self.base_config().clustering.__class__
+        mode_config = clustering_config.model_fields["mode"]
 
-            clustering_schema = self._apply_updates(
-                __base__=clustering_config,
-                mode=(new_list, Field(mode_config.default, description=new_description)),
-            )
-            new_schema = self._apply_updates(
-                clustering=(clustering_schema, Field(default_factory=clustering_schema))
-            )
+        current_description = mode_config.description or ""
+        new_description = current_description + " (extra) foobar: new item."
+        new_list = Literal[mode_config.annotation, "foobar"]
 
-            return new_schema
+        clustering_schema = self._apply_updates(
+            __base__=clustering_config,
+            mode=(new_list, Field(mode_config.default, description=new_description)),
+        )
+        new_schema = self._apply_updates(
+            clustering=(clustering_schema, Field(default_factory=clustering_schema))
+        )
 
+        return new_schema
 
-    class MyNewConfigSection(BaseModel):
-        my_new_field: str = Field("foo")
 
+class MyNewConfigSection(BaseModel):
+    my_new_field: str = Field("foo")
 
-    class NewConfigItem(ConfigUpdater):
-        name: str = "new_section"
-        docs_url: str | None = "https://my-own-docs.readthedocs.org/config.html#{field_name}"
 
-        def update(self) -> type[ConfigSchema]:
-            new_schema = self._apply_updates(
-                new_section=(MyNewConfigSection, Field(default_factory=MyNewConfigSection)),
-            )
-            return new_schema
+class NewConfigItem(ConfigUpdater):
+    name: str = "new_section"
+    docs_url: str | None = "https://my-own-docs.readthedocs.org/config.html#{field_name}"
 
-If this code were stored in the script ``scripts/_my_config_updates.py`` then ``scripts.lib.validation.config_updates.py`` would now include:
+    def update(self) -> type[ConfigSchema]:
+        new_schema = self._apply_updates(
+            new_section=(MyNewConfigSection, Field(default_factory=MyNewConfigSection)),
+        )
+        return new_schema
+```
 
-.. code-block:: python
+If this code were stored in the script `scripts/_my_config_updates.py` then `scripts.lib.validation.config_updates.py` would now include:
 
-    import scripts._my_config_updates
+```python
+import scripts._my_config_updates
+```
 
 This is sufficient for both updates to be imported.
 
-.. admonition:: Config filename
+!!! note "Config filename"
 
-    When generating the config files with the above example (``pixi run generate-config``),
-    you would now generate ``config/config.default.update_clustering.new_section.yaml``.
-    To override the base ``config/config.default.yaml``, you can set the ``name`` property of your updater classes to empty strings: ``""``.
+    When generating the config files with the above example (`pixi run generate-config`),
+    you would now generate `config/config.default.update_clustering.new_section.yaml`.
+    To override the base `config/config.default.yaml`, you can set the `name` property of your updater classes to empty strings: `""`.
 
-.. admonition:: Docs URL
+!!! note "Docs URL"
 
     The generated default config file will reference a documentation URL above every top-level key.
     When using updating with your own config schema, you may well want to also refer to your own documentation.
-    You can set the ``docs_url`` property to refer to a different URL to the default (which is the PyPSA-Eur documentation).
-    Any reference to ``{field_name}`` in the string will be formatted to the top-level key above which the URL comment is being placed in the config, to allow for fine-grained references.
+    You can set the `docs_url` property to refer to a different URL to the default (which is the PyPSA-Eur documentation).
+    Any reference to `{field_name}` in the string will be formatted to the top-level key above which the URL comment is being placed in the config, to allow for fine-grained references.
 
-.. admonition:: Chaining updates
+!!! note "Chaining updates"
 
     Several separate update scripts can exist and be used to create chained updates of the schema.
-    They will be used to update the schema in the order they appear in ``scripts.lib.validation.config_updates.py``.
+    They will be used to update the schema in the order they appear in `scripts.lib.validation.config_updates.py`.
     this means that you can update the same config item multiple times.
-    If you are importing config changes from a submodule and you want to catch cases where you are both updating the same config item, you can add a check in your ``update`` method, such as:
-
-    .. code:: python
-
-        if clustering_config != ClusteringConfig:
-            raise ValueError(
-                "You are trying to update the clustering config item after it has already been updated by another config updater."
-                " This could have unexpected consequences."
-            )
-
-.. autoclass:: lib.validation.config._base::ConfigUpdater
-    :members: name, update, _apply_updates
\ No newline at end of file
+    If you are importing config changes from a submodule and you want to catch cases where you are both updating the same config item, you can add a check in your `update` method, such as:
+
+    ```python
+    if clustering_config != ClusteringConfig:
+        raise ValueError(
+            "You are trying to update the clustering config item after it has already been updated by another config updater."
+            " This could have unexpected consequences."
+        )
+    ```
+
+::: lib.validation.config._base.ConfigUpdater
+    options:
+      members:
+        - name
+        - update
+        - _apply_updates
diff --git a/doc/wildcards.md b/doc/wildcards.md
index ae5da7fae8..11c60a9e73 100644
--- a/doc/wildcards.md
+++ b/doc/wildcards.md
@@ -1,93 +1,82 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _wildcards:
+# Wildcards {#wildcards}
 
-#########
-Wildcards
-#########
-
-It is easy to run PyPSA-Eur for multiple scenarios using the wildcards feature of ``snakemake``.
+It is easy to run PyPSA-Eur for multiple scenarios using the wildcards feature of `snakemake`.
 Wildcards allow to generalise a rule to produce all files that follow a regular expression pattern
 which e.g. defines one particular scenario. One can think of a wildcard as a parameter that shows
-up in the input/output file names of the ``Snakefile`` and thereby determines which rules to run,
+up in the input/output file names of the `Snakefile` and thereby determines which rules to run,
 what data to retrieve and what files to produce.
 
-.. note::
-    Detailed explanations of how wildcards work in ``snakemake`` can be found in the
-    `relevant section of the documentation <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards>`__.
-
-.. _cutout_wc:
-
-The ``{cutout}`` wildcard
-=========================
+!!! note
+    Detailed explanations of how wildcards work in `snakemake` can be found in the
+    [relevant section of the documentation](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards).
 
-The ``{cutout}`` wildcard facilitates running the rule :mod:`build_cutout`
-for all cutout configurations specified under ``atlite: cutouts:``.
-These cutouts will be stored in a folder specified by ``{cutout}``.
+## The `{cutout}` wildcard {#cutout_wc}
 
-.. _technology:
+The `{cutout}` wildcard facilitates running the rule [build_cutout][]
+for all cutout configurations specified under `atlite: cutouts:`.
+These cutouts will be stored in a folder specified by `{cutout}`.
 
-The ``{technology}`` wildcard
-=============================
+## The `{technology}` wildcard {#technology}
 
-The ``{technology}`` wildcard specifies for which renewable energy technology to produce availability time
-series and potentials using the rule :mod:`build_renewable_profiles`.
-It can take the values ``onwind``, ``offwind-ac``, ``offwind-dc``, ``offwind-float``, and ``solar`` but **not** ``hydro``
-(since hydroelectric plant profiles are created by a different rule)``
+The `{technology}` wildcard specifies for which renewable energy technology to produce availability time
+series and potentials using the rule [build_renewable_profiles][].
+It can take the values `onwind`, `offwind-ac`, `offwind-dc`, `offwind-float`, and `solar` but **not** `hydro`
+(since hydroelectric plant profiles are created by a different rule)
 
-.. _clusters:
+## The `{clusters}` wildcard {#clusters}
 
-The ``{clusters}`` wildcard
-===========================
-
-The ``{clusters}`` wildcard specifies the number of buses a detailed
-network model should be reduced to in the rule :mod:`cluster_network`.
+The `{clusters}` wildcard specifies the number of buses a detailed
+network model should be reduced to in the rule [cluster_network][].
 The number of clusters must be lower than the total number of nodes
 and higher than the number of countries. However, a country counts twice if
 it has two asynchronous subnetworks (e.g. Denmark or Italy).
 
-.. _opts:
-
-The ``{opts}`` wildcard
-=======================
+## The `{opts}` wildcard {#opts}
 
-The ``{opts}`` wildcard is used for electricity-only studies. It triggers
-optional constraints, which are activated in either :mod:`prepare_network` or
-the :mod:`solve_network` step. It may hold multiple triggers separated by ``-``,
-i.e. ``Co2L-3h`` contains the ``Co2L`` trigger and the ``3h`` switch. There are
+The `{opts}` wildcard is used for electricity-only studies. It triggers
+optional constraints, which are activated in either [prepare_network][] or
+the [solve_network][] step. It may hold multiple triggers separated by `-`,
+i.e. `Co2L-3h` contains the `Co2L` trigger and the `3h` switch. There are
 currently:
 
+| Trigger | Description |
+|---------|-------------|
+| `Co2L` | Add an pointwise or global CO2 limit constraint |
+| `Co2L{p}` | Set CO2 limit to `p` times the 1990 CO2 emissions |
+| `Ep` | Add an pointwise or global emission pricing constraint |
+| `Ep{p}` | Set the emission price to `p` EUR/tCO2 |
+| `{n}h` | Temporal averaging/down-sampling by `n` hours |
+| `{n}seg` | Apply `n` time segments using the tsam package |
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 10,20,10,10
-   :file: configtables/opts.csv
-
-.. _sector_opts:
+!!! note
+    The wildcard options are processed in ``scripts/prepare_network.py`` and ``scripts/solve_network.py``.
 
-The ``{sector_opts}`` wildcard
-==============================
+## The `{sector_opts}` wildcard {#sector_opts}
 
-.. warning::
+!!! warning
     More comprehensive documentation for this wildcard will be added soon.
     To really understand the options here, look in scripts/prepare_sector_network.py
 
-The ``{sector_opts}`` wildcard is only used for sector-coupling studies.
+The `{sector_opts}` wildcard is only used for sector-coupling studies.
 
-.. csv-table::
-   :header-rows: 1
-   :widths: 10,20,10,10
-   :file: configtables/sector-opts.csv
+| Trigger | Description |
+|---------|-------------|
+| `cb{x}ex{y}` | Set a carbon budget of `x` Gt CO2 with exponential decay starting at linear growth rate `y` |
+| `Co2L{p}` | Set CO2 limit to `p` times the 1990 CO2 emissions |
+| `{n}h` | Temporal averaging/down-sampling by `n` hours |
+| `{n}seg` | Apply `n` time segments using the tsam package |
 
-.. _planning_horizons:
+!!! note
+    The wildcard options for sector-coupled studies are processed in ``scripts/prepare_sector_network.py``.
+    For more details, refer to the source code.
 
-The ``{planning_horizons}`` wildcard
-====================================
+## The `{planning_horizons}` wildcard {#planning_horizons}
 
-.. warning::
+!!! warning
     More comprehensive documentation for this wildcard will be added soon.
 
-The ``{planning_horizons}`` wildcard is only used for sector-coupling studies.
+The `{planning_horizons}` wildcard is only used for sector-coupling studies.
 It takes years as values, e.g. 2020, 2030, 2040, 2050.
diff --git a/mkdocs.yml b/mkdocs.yml
new file mode 100644
index 0000000000..d99959e4a4
--- /dev/null
+++ b/mkdocs.yml
@@ -0,0 +1,114 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: CC-BY-4.0
+
+site_name: PyPSA-Eur
+site_url: https://pypsa-eur.readthedocs.io
+repo_url: https://github.com/pypsa/pypsa-eur
+repo_name: pypsa/pypsa-eur
+
+docs_dir: doc
+
+theme:
+  name: material
+  logo: img/logo.svg
+  features:
+  - navigation.sections
+  - navigation.expand
+  - search.suggest
+  - content.code.copy
+  - content.tabs.link
+
+nav:
+- Home: index.md
+- Getting Started:
+  - Introduction: introduction.md
+  - Installation: installation.md
+  - "Tutorial: Electricity-Only": tutorial.md
+  - "Tutorial: Sector-Coupled": tutorial_sector.md
+- Configuration:
+  - Wildcards: wildcards.md
+  - Configuration: configuration.md
+  - Foresight Options: foresight.md
+  - Techno-Economic Assumptions: costs.md
+- Rules Overview:
+  - Retrieving Data: retrieve.md
+  - Building Electricity Networks: preparation.md
+  - Building Sector-Coupled Networks: sector.md
+  - Solving Networks: solving.md
+  - OETC Integration: oetc.md
+  - Plotting and Summaries: plotting.md
+- Implementation details for sector-coupled systems:
+  - Spatial resolution: spatial_resolution.md
+  - Supply and demand: supply_demand.md
+- References:
+  - Release Notes: release_notes.md
+  - Licenses: licenses.md
+  - Data Sources:
+    - data_sources.md
+    - Base Network: data-base-network.md
+    - Cutouts: data-cutouts.md
+    - Data Repositories: data-repos.md
+  - Validation: validation.md
+  - Limitations: limitations.md
+  - Contributing:
+    - contributing.md
+    - Validation Development: validation_dev.md
+  - Support: support.md
+  - Publications: publications.md
+
+plugins:
+- search
+- autorefs
+- macros:
+    module_name: doc/macros
+    j2_comment_start_string: "{%#"
+    j2_comment_end_string: "#%}"
+- table-reader
+- mkdocstrings:
+    default_handler: python
+    enable_inventory: true
+    handlers:
+      python:
+        paths: [scripts, .]
+        options:
+          docstring_style: numpy
+          show_source: false
+          show_root_heading: false
+          show_root_full_path: false
+          members: false
+          allow_inspection: true
+        inventories:
+        - https://docs.python.org/3/objects.inv
+- bibtex:
+    bib_file: doc/publications.bib
+    enable_inline_citations: false
+
+markdown_extensions:
+- footnotes
+- admonition
+- pymdownx.details
+- pymdownx.snippets:
+    base_path: .
+- pymdownx.superfences:
+    custom_fences:
+    - name: mermaid
+      class: mermaid
+      format: !!python/name:pymdownx.superfences.fence_code_format
+- pymdownx.arithmatex:
+    generic: true
+- pymdownx.tabbed:
+    alternate_style: true
+- pymdownx.highlight
+- pymdownx.inlinehilite
+- tables
+- attr_list
+- md_in_html
+- toc:
+    permalink: true
+
+hooks:
+- doc/hooks.py
+
+extra_javascript:
+- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
diff --git a/pixi.lock b/pixi.lock
index 6699725def..a999cf182b 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2334,6 +2334,13 @@ environments:
     - url: https://conda.anaconda.org/gurobi/
     packages:
       linux-64:
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/immutables-0.21-py312h4c3975b_2.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-7_h47877c9_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-7_h6ae95b6_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm20-20.1.8-hecd9e04_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-3.0.3-py312h8ecdadd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.9.0.2-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pango-1.56.4-hadf4263_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.2-py312h5253ce2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py312hd0750ca_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-21.0.0-py312h7900ff3_3.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.5-py312h1289d80_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h1df8778_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h021bea1_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2025.11.05-h5301d42_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.30.0-py312h868fb18_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/uriparser-0.9.8-hac33072_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/watchdog-6.0.0-py312h20c3967_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.24.0-h3e06ad9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.3-py312h4c3975b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.1-h4f16b4b_2.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/backrefs-7.0-pyhcf101f3_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_1.conda
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   license_family: BSD
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   timestamp: 1756887863806
+- conda: https://conda.anaconda.org/conda-forge/win-64/pyreadline3-3.5.6-py312h2e8e312_0.conda
+  sha256: 355b5fa16daf16d3bffced756e4333115625f01bb17bf00e0e65fb4a86f3ba81
+  md5: 526783c6efcba14ac3efd2cef440254e
+  depends:
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 171538
+  timestamp: 1778848418493
 - conda: https://conda.anaconda.org/conda-forge/win-64/pyscipopt-6.2.0-np2py313h776c0ec_0.conda
   sha256: e521aababcb01cc7a5c7bad9eaebf0db68c33ab00c29741f7ad56ba36d915196
   md5: 2496c6d2f242448aaaae67a3ba630bc2
@@ -31415,6 +31999,19 @@ packages:
   license_family: APACHE
   size: 203168
   timestamp: 1772376256539
+- conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-311-py312h829343e_2.conda
+  sha256: 1d33c24d5590e1061e6320fbc90f395f2d14a6b3b6a4d4b3035c7c99238f6de2
+  md5: 30b76957c7960ba1610ea759691b531c
+  depends:
+  - python
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.12.* *_cp312
+  license: PSF-2.0
+  license_family: PSF
+  size: 6686746
+  timestamp: 1779222945272
 - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-311-py313h40c08fc_1.conda
   sha256: 87eaeb79b5961e0f216aa840bc35d5f0b9b123acffaecc4fda4de48891901f20
   md5: 1ce4f826332dca56c76a5b0cc89fb19e
@@ -31588,31 +32185,30 @@ packages:
   license_family: MIT
   size: 1020750
   timestamp: 1775566013761
-- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.4.3-py312h9aeec68_2.conda
-  sha256: 1c0cd6f1d7deb42cfb672dd9ab911e28b5c3598ea215fc5f30c0b9fd1909cfc2
-  md5: 12c2a20993f3aa36f18382aa5d91e614
+- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.4.3-py312ha172ac9_1.conda
+  sha256: f70e0d80a0ba0d704ddebb00a18d37ef4452035d95c193326e09bf812687b09c
+  md5: 59a426d73f2033ca243d7861c782475f
   depends:
   - affine
   - attrs
   - certifi
-  - click >=4,!=8.2.*
+  - click >=4
   - click-plugins
   - cligj >=0.5
-  - libgdal-core <3.11
-  - libgdal-core >=3.10.3,<3.11.0a0
-  - numpy >=1.23,<3
-  - proj >=9.6.2,<9.7.0a0
+  - libgdal-core >=3.10.2,<3.11.0a0
+  - numpy >=1.21,<3
+  - proj >=9.6.0,<9.7.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - setuptools >=0.9.8
   - snuggs >=1.4.1
   - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
-  size: 7097517
-  timestamp: 1758132119961
+  size: 7869724
+  timestamp: 1742429400145
 - conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.5.0-py313h1ced589_0.conda
   sha256: d751673f1b0b77e7d9547e5101e2c7fe29c1f6acba0fc09ff7eb3651477ab829
   md5: 05a494f768c611dd1ba42ead4556e453
@@ -31655,6 +32251,19 @@ packages:
   license_family: BSD
   size: 220305
   timestamp: 1768190225351
+- conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.30.0-py312hdabe01f_0.conda
+  sha256: faad05e6df2fc15e3ae06fdd71a36e17ff25364777aa4c40f2ec588740d64091
+  md5: 2c51baeda0a355b0a5e7b6acb28cf02d
+  depends:
+  - python
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.12.* *_cp312
+  license: MIT
+  license_family: MIT
+  size: 243577
+  timestamp: 1764543069837
 - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.30.0-py313hfbe8231_0.conda
   sha256: 27bd383787c0df7a0a926b11014fd692d60d557398dcf1d50c55aa2378507114
   md5: 58ae648b12cfa6df3923b5fd219931cb
@@ -31933,6 +32542,18 @@ packages:
   license_family: MIT
   size: 11858249
   timestamp: 1762185745141
+- conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2022.3.0-hd094cb3_1.conda
+  sha256: c31cac57913a699745d124cdc016a63e31c5749f16f60b3202414d071fc50573
+  md5: 17c38aaf14c640b85c4617ccb59c1146
+  depends:
+  - libhwloc >=2.12.1,<2.12.2.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: APACHE
+  size: 155714
+  timestamp: 1762510341121
 - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2023.0.0-hd3d4ead_2.conda
   sha256: 8a4053839b8e997a5965e2dff7d6cf3c77be62d82c0e48c8a04a5ed2d2e73035
   md5: 8ee01a693aecff5432069eaaf1183c45
@@ -32085,12 +32706,36 @@ packages:
   license_family: BSD
   size: 19982
   timestamp: 1778688080463
+- conda: https://conda.anaconda.org/conda-forge/win-64/watchdog-6.0.0-py312h209ec74_3.conda
+  sha256: ce118b4eecd52c2b16664524b9a7a1c283e479ac1754587268df03ba732e15ac
+  md5: bf3401836efb5fa8fc02fe1d19310fdd
+  depends:
+  - python
+  - pyyaml >=3.10
+  - python_abi 3.12.* *_cp312
+  license: Apache-2.0
+  license_family: APACHE
+  size: 191986
+  timestamp: 1772608052943
 - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
   sha256: 9df10c5b607dd30e05ba08cbd940009305c75db242476f4e845ea06008b0a283
   md5: 1cee351bf20b830d991dbe0bc8cd7dfe
   license: MIT
   license_family: MIT
   size: 1176306
+- conda: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.17.3-py312he06e257_1.conda
+  sha256: f9e9e28ef3a0564a5588427b9503ed08e5fe3624b8f8132d60383439a47baafc
+  md5: fc10fd823d05bde83cda9e90dbef34ed
+  depends:
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-2-Clause
+  license_family: BSD
+  size: 63012
+  timestamp: 1756852490793
 - conda: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.17.3-py313h5ea7bf4_1.conda
   sha256: 260a3295f39565c28be9232a11ca7ee435af6e9366ffd2569ff29a63e7c144a0
   md5: 3e199c8db04833fe628867462aeaca24
diff --git a/pixi.toml b/pixi.toml
index 7c3d6e476f..7883a81739 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -30,8 +30,11 @@ logs, resources, benchmarks, results, and .snakemake directories except \
 """
 
 update-dags = """
-	snakemake results/networks/base_s_128_elec_.nc -F --dag | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png && \
-	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png
+	snakemake results/networks/base_s_128_elec_.nc -F --dag | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/intro-workflow.svg && \
+	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/workflow.svg && \
+	snakemake --dag --configfile config/test/config.electricity.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_electricity.svg && \
+	snakemake --dag --configfile config/test/config.overnight.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_overnight.svg && \
+	snakemake --dag --configfile config/test/config.myopic.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_myopic.svg
 """
 
 generate-config = "python -c 'from scripts.lib.validation.config import generate_config_defaults, generate_config_schema; generate_config_defaults(); generate_config_schema()'"
@@ -117,8 +120,8 @@ snakemake-logger-plugin-snkmt = "==0.1.6" # For better pypsa-app integration
 snakemake-executor-plugin-slurm = ">=1.9.2"
 
 [feature.doc.tasks.build-docs]
-args = ["dir", {"arg" = "output", "default" = "html"}]
-cmd = "sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "
+cmd = "mkdocs build -d {{ dir }}/html"
+args = ["dir"]
 
 [feature.doc.dependencies]
 atlite = "==0.4.1"
@@ -129,7 +132,15 @@ fiona = "==1.10.1"
 graphviz = "==13.1.2"
 matplotlib = "==3.10.7"
 memory_profiler = "==0.61.0"
-myst-parser = "==4.0.1"
+mkdocs = ">=1.6"
+mkdocs-material = ">=9.5"
+mkdocstrings = ">=0.29"
+mkdocstrings-python = ">=1.16"
+mkdocs-bibtex = ">=2.16"
+pymdown-extensions = ">=10.0"
+mkdocs-macros-plugin = ">=1.0"
+mkdocs-table-reader-plugin = ">=3.1"
+snakemake-minimal = ">=9"
 powerplantmatching = "==0.7.1"
 pydot = "==4.0.1"
 pypsa = "==1.0.3"
@@ -139,11 +150,6 @@ pyyaml = "==6.0.3"
 requests = "==2.32.5"
 scikit-learn = "==1.7.2"
 seaborn = "==0.13.2"
-sphinx = "==8.2.3"
-sphinx-book-theme = "==1.1.4"
-sphinx-design = "==0.6.1"
-sphinx-jsonschema = "==1.19.2"
-sphinxcontrib-bibtex = "==2.6.5"
 tabula-py = "==2.7.0"
 tenacity = "==9.1.2"
 tsam = "==2.3.9"
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index a5828c6799..492c50e934 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -9,40 +9,40 @@
 Description
 -----------
 
-The rule :mod:`add_electricity` ties all the different data inputs from the
+The rule [add_electricity][] ties all the different data inputs from the
 preceding rules together into a detailed PyPSA network that is stored in
-``networks/base_s_{clusters}_elec.nc``. It includes:
+`networks/base_s_{clusters}_elec.nc`. It includes:
 
 - today's transmission topology and transfer capacities (optionally including
   lines which are under construction according to the config settings ``lines:
-  under_construction`` and ``links: under_construction``),
+  under_construction` and `links: under_construction``),
 - today's thermal and hydro power generation capacities (for the technologies
-  listed in the config setting ``electricity: conventional_carriers``), and
+  listed in the config setting `electricity: conventional_carriers`), and
 - today's load time-series (upsampled in a top-down approach according to
   population and gross domestic product)
 
-It further adds extendable ``generators`` with **zero** capacity for
+It further adds extendable `generators` with **zero** capacity for
 
 - photovoltaic, onshore and AC- as well as DC-connected offshore wind
   installations with today's locational, hourly wind and solar capacity factors
   (but **no** current capacities),
-- additional open- and combined-cycle gas turbines (if ``OCGT`` and/or ``CCGT``
-  is listed in the config setting ``electricity: extendable_carriers``)
+- additional open- and combined-cycle gas turbines (if `OCGT` and/or `CCGT`
+  is listed in the config setting `electricity: extendable_carriers`)
 
 Furthermore, it attaches additional extendable components to the clustered
 network with **zero** initial capacity:
 
-- ``StorageUnits`` of carrier 'H2' and/or 'battery'. If this option is chosen,
-  every bus is given an extendable ``StorageUnit`` of the corresponding carrier.
+- `StorageUnits` of carrier 'H2' and/or 'battery'. If this option is chosen,
+  every bus is given an extendable `StorageUnit` of the corresponding carrier.
   The energy and power capacities are linked through a parameter that specifies
   the energy capacity as maximum hours at full dispatch power and is configured
-  in ``electricity: max_hours:``. This linkage leads to one investment variable
-  per storage unit. The default ``max_hours`` lead to long-term hydrogen and
+  in `electricity: max_hours:`. This linkage leads to one investment variable
+  per storage unit. The default `max_hours` lead to long-term hydrogen and
   short-term battery storage units.
 
-- ``Stores`` of carrier 'H2' and/or 'battery' in combination with ``Links``. If
+- `Stores` of carrier 'H2' and/or 'battery' in combination with `Links`. If
   this option is chosen, the script adds extra buses with corresponding carrier
-  where energy ``Stores`` are attached and which are connected to the
+  where energy `Stores` are attached and which are connected to the
   corresponding power buses via two links, one each for charging and
   discharging. This leads to three investment variables for the energy capacity,
   charging and discharging capacity of the storage unit.
diff --git a/scripts/add_existing_baseyear.py b/scripts/add_existing_baseyear.py
index 2fb58ff6a6..3be5ba9e97 100644
--- a/scripts/add_existing_baseyear.py
+++ b/scripts/add_existing_baseyear.py
@@ -548,8 +548,8 @@ def add_heating_capacities_installed_before_baseyear(
         Heat pump coefficients of performance
     use_time_dependent_cop : bool
         Use time-dependent COPs
-    heating_default_lifetime : int
-        Default lifetime for heating systems
+    default_lifetime : int
+        Default lifetime for heating systems.
     existing_capacities : pd.DataFrame
         Existing heating capacity distribution
     heat_pump_source_types : dict
diff --git a/scripts/base_network.py b/scripts/base_network.py
index 327a14df21..35598f329f 100644
--- a/scripts/base_network.py
+++ b/scripts/base_network.py
@@ -4,9 +4,8 @@
 
 
 """
-Creates the network topology from a `ENTSO-E map extract.
-<https://github.com/PyPSA/GridKit/tree/master/entsoe>`_ (March 2022)
-or `OpenStreetMap data <https://www.openstreetmap.org/>`_ (Aug 2024)
+Creates the network topology from a [ENTSO-E map extract.](https://github.com/PyPSA/GridKit/tree/master/entsoe) (March 2022)
+or [OpenStreetMap data](https://www.openstreetmap.org/) (Aug 2024)
 as a PyPSA
 network.
 
@@ -922,20 +921,23 @@ def build_bus_shapes(
 
     Parameters
     ----------
-        n (pypsa.Network) : The network for which the bus shapes will be built.
-        admin_shapes (gpd.GeoDataFrame) : GeoDataFrame with administrative region shapes indexed by name.
-        offshore_shapes (str) : Path to the file containing offshore shapes.
-        countries (list[str]) : List of country codes to process.
+    n : pypsa.Network
+        The network for which the bus shapes will be built.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame with administrative region shapes indexed by name.
+    offshore_shapes : str
+        Path to the file containing offshore shapes.
+    countries : list[str]
+        List of country codes to process.
 
     Returns
     -------
-        tuple[list[gpd.GeoDataFrame], list[gpd.GeoDataFrame], gpd.GeoDataFrame, gpd.GeoDataFrame]
-
+    tuple[list[gpd.GeoDataFrame], list[gpd.GeoDataFrame], gpd.GeoDataFrame, gpd.GeoDataFrame]
         A tuple containing:
-            - List of GeoDataFrames for each onshore region
-            - List of GeoDataFrames for each offshore region
-            - Combined GeoDataFrame of all onshore shapes
-            - Combined GeoDataFrame of all offshore shapes
+        - List of GeoDataFrames for each onshore region
+        - List of GeoDataFrames for each offshore region
+        - Combined GeoDataFrame of all onshore shapes
+        - Combined GeoDataFrame of all offshore shapes
     """
     offshore_shapes = gpd.read_file(offshore_shapes)
     offshore_shapes = offshore_shapes.reindex(columns=REGION_COLS).set_index("name")[
@@ -1011,13 +1013,16 @@ def append_bus_shapes(n, shapes, type):
 
     Parameters
     ----------
-        n (pypsa.Network): The network to which the shapes will be appended.
-        shapes (geopandas.GeoDataFrame): The shapes to be appended.
-        **kwargs: Additional keyword arguments used in `n.add`.
+    n : pypsa.Network
+        The network to which the shapes will be appended.
+    shapes : geopandas.GeoDataFrame
+        The shapes to be appended.
+    type : str
+        The type of shapes to append.
 
     Returns
     -------
-        None
+    None
     """
     remove = n.shapes.query("component == 'Bus' and type == @type").index
     n.remove("Shape", remove)
@@ -1042,13 +1047,17 @@ def find_neighbours(
 
     Parameters
     ----------
-        polygon (shapely.geometry.Polygon): Polygon for which to find neighbours.
-        index (str): Index of the polygon.
-        gdf (gpd.GeoDataFrame): GeoDataFrame containing all polygons.
+    polygon : shapely.geometry.Polygon
+        Polygon for which to find neighbours.
+    index : str
+        Index of the polygon.
+    gdf : gpd.GeoDataFrame
+        GeoDataFrame containing all polygons.
 
     Returns
     -------
-        list: List of indices of neighbouring polygons.
+    list
+        List of indices of neighbouring polygons.
     """
     possible_neighbours = gdf.sindex.intersection(polygon.bounds)
 
@@ -1075,14 +1084,19 @@ def keep_good_neighbours(
 
     Parameters
     ----------
-        adm (str): Index of the administrative region.
-        neighbours (list): List of neighbours.
-        parent_dict (dict): Dictionary with parent of each administrative region.
-        country_dict (dict): Dictionary with country of each administrative region.
+    adm : str
+        Index of the administrative region.
+    neighbours : list
+        List of neighbours.
+    parent_dict : dict
+        Dictionary with parent of each administrative region.
+    country_dict : dict
+        Dictionary with country of each administrative region.
 
     Returns
     -------
-        list: List of filtered
+    list
+        List of filtered neighbours.
     """
     # Only keep neighbours that are located in the same country
 
@@ -1108,13 +1122,17 @@ def sort_values_by_dict(
 
     Parameters
     ----------
-        neighbours (list): List of keys to sort.
-        dicts (list): List of dictionaries containing values to sort by.
-        ascending (bool): Whether to sort in ascending order.
+    neighbours : list
+        List of keys to sort.
+    dicts : list
+        List of dictionaries containing values to sort by.
+    ascending : bool
+        Whether to sort in ascending order.
 
     Returns
     -------
-        list: Sorted list of keys.
+    list
+        Sorted list of keys.
     """
     return sorted(
         neighbours,
@@ -1135,13 +1153,17 @@ def create_merged_admin_region(
 
     Parameters
     ----------
-        row (pd.Series): Series containing information about the region to be merged.
-        first_neighbours_dict (dict): Dictionary containing first neighbours for each region.
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
+    row : pd.Series
+        Series containing information about the region to be merged.
+    first_neighbours_dict : dict
+        Dictionary containing first neighbours for each region.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
 
     Returns
     -------
-        pd.Series: Series containing information about the merged region.
+    pd.Series
+        Series containing information about the merged region.
     """
     first_neighbours = first_neighbours_dict[row.name]
     neighbours_contain = list(
@@ -1208,11 +1230,13 @@ def update_names(
 
     Parameters
     ----------
-        names (list): List of names to update.
+    names : list[str]
+        List of names to update.
 
     Returns
     -------
-        str: Updated name.
+    str
+        Updated name.
     """
     if len(names) == 1:
         return names[0]
@@ -1231,11 +1255,13 @@ def clean_dict(
 
     Parameters
     ----------
-        diction (dict): Dictionary to clean.
+    diction : dict
+        Dictionary to clean.
 
     Returns
     -------
-        dict: Cleaned dictionary.
+    dict
+        Cleaned dictionary.
     """
 
     if not diction:
@@ -1288,12 +1314,15 @@ def get_nearest_neighbour(
 
     Parameters
     ----------
-        row (pd.Series): Series containing information about the region.
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
+    row : pd.Series
+        Series containing information about the region.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
 
     Returns
     -------
-        str: Index of the nearest neighbour.
+    str
+        Index of the nearest neighbour.
     """
     country = row["country"]
     gdf = gpd.GeoDataFrame([row.loc[["country", "geometry"]]], crs=admin_shapes.crs)
@@ -1331,12 +1360,15 @@ def merge_regions_recursive(
 
     Parameters
     ----------
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
-        neighbours_missing (bool): Whether to find neighbours if they are missing.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
+    neighbours_missing : bool
+        Whether to find neighbours if they are missing.
 
     Returns
     -------
-        gpd.GeoDataFrame: GeoDataFrame containing the merged administrative regions
+    gpd.GeoDataFrame
+        GeoDataFrame containing the merged administrative regions.
     """
     while True:
         # Calculate area
diff --git a/scripts/build_ammonia_production.py b/scripts/build_ammonia_production.py
index b6a50b76fb..def1a82102 100644
--- a/scripts/build_ammonia_production.py
+++ b/scripts/build_ammonia_production.py
@@ -7,7 +7,7 @@
 Description
 -------
 
-This functions takes data from the `Minerals Yearbook <https://www.usgs.gov/centers/national-minerals-information-center/nitrogen-statistics-and-information>`_
+This functions takes data from the [Minerals Yearbook](https://www.usgs.gov/centers/national-minerals-information-center/nitrogen-statistics-and-information)
  (July 2024) published by the US Geological Survey (USGS) and the National Minerals Information Center and extracts the annual ammonia production per country in ktonN/a. The data is converted to ktonNH3/a.
 """
 
diff --git a/scripts/build_ates_potentials.py b/scripts/build_ates_potentials.py
index ee6584151a..d42457d7f0 100644
--- a/scripts/build_ates_potentials.py
+++ b/scripts/build_ates_potentials.py
@@ -13,14 +13,15 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        aquifer_thermal_energy_storage:
-            aquifer_volumetric_heat_capacity:
-            fraction_of_aquifer_area_available:
-            effective_screen_length:
-            suitable_aquifer_types:
-            dh_area_buffer:
+```yaml
+sector:
+    aquifer_thermal_energy_storage:
+        aquifer_volumetric_heat_capacity:
+        fraction_of_aquifer_area_available:
+        effective_screen_length:
+        suitable_aquifer_types:
+        dh_area_buffer:
+```
 
 Inputs
 ------
diff --git a/scripts/build_bidding_zones.py b/scripts/build_bidding_zones.py
index 96d39f1f07..6d5f0913a1 100644
--- a/scripts/build_bidding_zones.py
+++ b/scripts/build_bidding_zones.py
@@ -7,7 +7,7 @@
 Outputs
 -------
 
-- ``resources/bidding_zones.geojson``:
+- `resources/bidding_zones.geojson`:
 """
 
 import geopandas as gpd
@@ -137,15 +137,25 @@ def extract_shape_by_bbox(
 
     Parameters
     ----------
-        - gdf (GeoDataFrame): GeoDataFrame containing country geometries.
-        - country (str): The country code or name to filter.
-        - min_lon, max_lon (float): Longitude bounds for extraction.
-        - min_lat, max_lat (float): Latitude bounds for extraction.
-        - region_id (str): String to assign an ID to the extracted region.
+    gdf : GeoDataFrame
+        GeoDataFrame containing country geometries.
+    country : str
+        The country code or name to filter.
+    min_lon : float
+        Minimum longitude bound for extraction.
+    max_lon : float
+        Maximum longitude bound for extraction.
+    min_lat : float
+        Minimum latitude bound for extraction.
+    max_lat : float
+        Maximum latitude bound for extraction.
+    region_id : str
+        String to assign an ID to the extracted region.
 
     Returns
     -------
-        - gdf_new: Updated GeoDataFrame with the extracted shape separated.
+    GeoDataFrame
+        Updated GeoDataFrame with the extracted shape separated.
     """
     country_gdf = gdf.explode().query("country == @country").reset_index(drop=True)
 
diff --git a/scripts/build_biomass_potentials.py b/scripts/build_biomass_potentials.py
index 5736d595d4..be0d9bf3ff 100755
--- a/scripts/build_biomass_potentials.py
+++ b/scripts/build_biomass_potentials.py
@@ -257,8 +257,8 @@ def add_unsustainable_potentials(df, input_eurostat):
     ----------
     df : pd.DataFrame
         The dataframe with sustainable biomass potentials.
-    unsustainable_biomass : str
-        Path to the file with unsustainable biomass potentials.
+    input_eurostat : str
+        Path to the file with Eurostat biomass data.
 
     Returns
     -------
diff --git a/scripts/build_central_heating_temperature_profiles/run.py b/scripts/build_central_heating_temperature_profiles/run.py
index c58d0fb063..2d4d05738d 100644
--- a/scripts/build_central_heating_temperature_profiles/run.py
+++ b/scripts/build_central_heating_temperature_profiles/run.py
@@ -14,12 +14,13 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        district_heating:
-            max_forward_temperature:
-            min_forward_temperature:
-            return_temperature:
+```yaml
+sector:
+    district_heating:
+        max_forward_temperature:
+        min_forward_temperature:
+        return_temperature:
+```
 Inputs
 ------
 - `resources/<run_name>/temp_air_total`: Air temperature
diff --git a/scripts/build_clustered_co2_sequestration_potentials.py b/scripts/build_clustered_co2_sequestration_potentials.py
index 1b6ee90911..c51ea39299 100644
--- a/scripts/build_clustered_co2_sequestration_potentials.py
+++ b/scripts/build_clustered_co2_sequestration_potentials.py
@@ -3,8 +3,8 @@
 # SPDX-License-Identifier: MIT
 """
 Build regionalised geological sequestration potential for carbon dioxide using
-data from `CO2Stop <https://setis.ec.europa.eu/european-co2-storage-
-database_en>`_.
+data from [CO2Stop](https://setis.ec.europa.eu/european-co2-storage-
+database_en).
 """
 
 import logging
diff --git a/scripts/build_co2_sequestration_potentials.py b/scripts/build_co2_sequestration_potentials.py
index 62987c400a..0f7146a71a 100644
--- a/scripts/build_co2_sequestration_potentials.py
+++ b/scripts/build_co2_sequestration_potentials.py
@@ -3,8 +3,8 @@
 # SPDX-License-Identifier: MIT
 """
 Build regionalised geological sequestration potential for carbon dioxide using
-data from `CO2Stop <https://setis.ec.europa.eu/european-co2-storage-
-database_en>`_.
+data from [CO2Stop](https://setis.ec.europa.eu/european-co2-storage-
+database_en).
 """
 
 from typing import Any
diff --git a/scripts/build_cop_profiles/run.py b/scripts/build_cop_profiles/run.py
index b2e49395fe..90c64c6c15 100644
--- a/scripts/build_cop_profiles/run.py
+++ b/scripts/build_cop_profiles/run.py
@@ -10,23 +10,24 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        heat_pump_sink_T_decentral_heating:
-        district_heating:
-            forward_temperature:
-            return_temperature:
-            heat_source_cooling:
-            heat_pump_cop_approximation:
-                refrigerant:
-                heat_exchanger_pinch_point_temperature_difference
-                isentropic_compressor_efficiency:
-                heat_loss:
-                min_delta_t_lift:
-            heat_pump_sources:
-                urban central:
-                urban decentral:
-                rural:
+```yaml
+sector:
+    heat_pump_sink_T_decentral_heating:
+    district_heating:
+        forward_temperature:
+        return_temperature:
+        heat_source_cooling:
+        heat_pump_cop_approximation:
+            refrigerant:
+            heat_exchanger_pinch_point_temperature_difference
+            isentropic_compressor_efficiency:
+            heat_loss:
+            min_delta_t_lift:
+        heat_pump_sources:
+            urban central:
+            urban decentral:
+            rural:
+```
 Inputs
 ------
 - `resources/<run_name>/temp_soil_total`: Ground temperature
diff --git a/scripts/build_country_hdd.py b/scripts/build_country_hdd.py
index 5db7c0baeb..bf9717c012 100644
--- a/scripts/build_country_hdd.py
+++ b/scripts/build_country_hdd.py
@@ -7,15 +7,12 @@
 Outputs
 -------
 
-- ``data/country_runoff/build/unknown/era5-hdd-per-country.csv``:
-
-    ===================  ==========  ===========  =========================================================
-    Field                Dimensions  Unit         Description
-    ===================  ==========  ===========  =========================================================
-    index/time           time        day          Datestamp, YYYY-MM-DD
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    <columns>            country     ISO-3166 A2  Aggregated HDDs per country
-    ===================  ==========  ===========  =========================================================
+- `data/country_runoff/build/unknown/era5-hdd-per-country.csv`:
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| index/time | time | day | Datestamp, YYYY-MM-DD |
+| &lt;columns&gt; | country | ISO-3166 A2 | Aggregated HDDs per country |
 
 """
 
diff --git a/scripts/build_country_runoff.py b/scripts/build_country_runoff.py
index 32e07e19be..f6792e4227 100644
--- a/scripts/build_country_runoff.py
+++ b/scripts/build_country_runoff.py
@@ -7,15 +7,12 @@
 Outputs
 -------
 
-- ``data/country_runoff/build/unknown/era5-runoff-per-country.csv``:
-
-    ===================  ==========  ===========  =========================================================
-    Field                Dimensions  Unit         Description
-    ===================  ==========  ===========  =========================================================
-    index/time           time        day          Datestamp, YYYY-MM-DD
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    <columns>            country     ISO-3166 A2  Daily total runoff (volume per area) per country
-    ===================  ==========  ===========  =========================================================
+- `data/country_runoff/build/unknown/era5-runoff-per-country.csv`:
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| index/time | time | day | Datestamp, YYYY-MM-DD |
+| &lt;columns&gt; | country | ISO-3166 A2 | Daily total runoff (volume per area) per country |
 
 
 """
diff --git a/scripts/build_cutout.py b/scripts/build_cutout.py
index eea963de1a..a02463c959 100644
--- a/scripts/build_cutout.py
+++ b/scripts/build_cutout.py
@@ -2,69 +2,45 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Create cutouts with `atlite <https://atlite.readthedocs.io/en/latest/>`_.
+Create cutouts with [atlite](https://atlite.readthedocs.io/en/latest/).
 
 For this rule to work you must have
 
-- installed the `Copernicus Climate Data Store <https://cds.climate.copernicus.eu>`_ ``cdsapi`` package  (`install with `pip``) and
-- registered and setup your CDS API key as described `on their website <https://cds.climate.copernicus.eu/api-how-to>`_.
+- installed the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu) `cdsapi` package  (`install with `pip``) and
+- registered and setup your CDS API key as described [on their website](https://cds.climate.copernicus.eu/api-how-to).
 
-.. seealso::
-    For details on the weather data read the `atlite documentation <https://atlite.readthedocs.io/en/latest/>`_.
-    If you need help specifically for creating cutouts `the corresponding section in the atlite documentation <https://atlite.readthedocs.io/en/latest/examples/create_cutout.html>`_ should be helpful.
+!!! info "See also"
+    For details on the weather data read the [atlite documentation](https://atlite.readthedocs.io/en/latest/). If you need help specifically for creating cutouts [the corresponding section in the atlite documentation](https://atlite.readthedocs.io/en/latest/examples/create_cutout.html) should be helpful.
 
 Outputs
 -------
 
-- ``cutouts/{cutout}``: weather data from either the `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_
-  reanalysis weather dataset or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewProduktSearch>`_
+- `cutouts/{cutout}`: weather data from either the [ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5)
+  reanalysis weather dataset or [SARAH-3](https://wui.cmsaf.eu/safira/action/viewProduktSearch)
   satellite-based historic weather data with the following structure:
 
 **ERA5 cutout:**
 
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    pressure             time, y, x  Pa          Surface pressure
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    temperature          time, y, x  K           Air temperature 2 meters above the surface.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    soil temperature     time, y, x  K           Soil temperature between 1 meters and 3 meters
-                                                 depth (layer 4).
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_toa           time, y, x  Wm**-2      Top of Earth's atmosphere TOA incident solar radiation
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_direct        time, y, x  Wm**-2      Total sky direct solar radiation at surface
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    runoff               time, y, x  m           `Runoff <https://en.wikipedia.org/wiki/Surface_runoff>`_
-                                                 (volume per area)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    roughness            y, x        m           Forecast surface roughness
-                                                 (`roughness length <https://en.wikipedia.org/wiki/Roughness_length>`_)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    height               y, x        m           Surface elevation above sea level
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    albedo               time, y, x  --          `Albedo <https://en.wikipedia.org/wiki/Albedo>`_
-                                                 measure of diffuse reflection of solar radiation.
-                                                 Calculated from relation between surface solar radiation
-                                                 downwards (Jm**-2) and surface net solar radiation
-                                                 (Jm**-2). Takes values between 0 and 1.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_diffuse       time, y, x  Wm**-2      Diffuse solar radiation at surface.
-                                                 Surface solar radiation downwards minus
-                                                 direct solar radiation.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    wnd100m              time, y, x  ms**-1      Wind speeds at 100 meters (regardless of direction)
-    ===================  ==========  ==========  =========================================================
-
-    .. image:: img/era5.png
-        :scale: 40 %
-
-A **SARAH-3 cutout** can be used to amend the fields ``temperature``, ``influx_toa``, ``influx_direct``, ``albedo``,
-``influx_diffuse`` of ERA5 using satellite-based radiation observations.
-
-    .. image:: img/sarah.png
-        :scale: 40 %
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| pressure | time, y, x | Pa | Surface pressure |
+| temperature | time, y, x | K | Air temperature 2 meters above the surface. |
+| soil temperature | time, y, x | K | Soil temperature between 1 meters and 3 meters depth (layer 4). |
+| influx_toa | time, y, x | Wm**-2 | Top of Earth's atmosphere TOA incident solar radiation |
+| influx_direct | time, y, x | Wm**-2 | Total sky direct solar radiation at surface |
+| runoff | time, y, x | m | [Runoff](https://en.wikipedia.org/wiki/Surface_runoff) (volume per area) |
+| roughness | y, x | m | Forecast surface roughness ([roughness length](https://en.wikipedia.org/wiki/Roughness_length)) |
+| height | y, x | m | Surface elevation above sea level |
+| albedo | time, y, x | -- | [Albedo](https://en.wikipedia.org/wiki/Albedo) measure of diffuse reflection of solar radiation. Calculated from relation between surface solar radiation downwards (Jm**-2) and surface net solar radiation (Jm**-2). Takes values between 0 and 1. |
+| influx_diffuse | time, y, x | Wm**-2 | Diffuse solar radiation at surface. Surface solar radiation downwards minus direct solar radiation. |
+| wnd100m | time, y, x | ms**-1 | Wind speeds at 100 meters (regardless of direction) |
+
+![](img/era5.png)
+
+A **SARAH-3 cutout** can be used to amend the fields `temperature`, `influx_toa`, `influx_direct`, `albedo`,
+`influx_diffuse` of ERA5 using satellite-based radiation observations.
+
+![](img/sarah.png)
 
 """
 
diff --git a/scripts/build_daily_heat_demand.py b/scripts/build_daily_heat_demand.py
index 21791ab063..05612c9f50 100644
--- a/scripts/build_daily_heat_demand.py
+++ b/scripts/build_daily_heat_demand.py
@@ -5,13 +5,12 @@
 This rule builds heat demand time series using heating degree day (HDD)
 approximation.
 
-Snapshots are resampled to daily time resolution and ``Atlite.convert.heat_demand`` is used to convert ambient temperature from the default weather cutout to heat demand time series for the respective cutout.
+Snapshots are resampled to daily time resolution and `Atlite.convert.heat_demand` is used to convert ambient temperature from the default weather cutout to heat demand time series for the respective cutout.
 
 Heat demand is distributed by population to clustered onshore regions.
 
-.. seealso::
-    `Atlite.Cutout.heat_demand <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-
+!!! info "See also"
+    [Atlite.Cutout.heat_demand](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
diff --git a/scripts/build_dh_areas.py b/scripts/build_dh_areas.py
index ae5d92c755..415ec4484d 100644
--- a/scripts/build_dh_areas.py
+++ b/scripts/build_dh_areas.py
@@ -18,13 +18,13 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    countries: ['DE', 'FR', 'ES', ...]  # List of modeled countries
-    sector:
-        district_heating:
-            dh_areas:
-                handle_missing_countries: 'ignore'  # or 'fill' or 'raise'
+```yaml
+countries: ['DE', 'FR', 'ES', ...]  # List of modeled countries
+sector:
+    district_heating:
+        dh_areas:
+            handle_missing_countries: 'ignore'  # or 'fill' or 'raise'
+```
 
 Inputs
 ------
diff --git a/scripts/build_electricity_demand.py b/scripts/build_electricity_demand.py
index 58699037dd..e451b56b0d 100755
--- a/scripts/build_electricity_demand.py
+++ b/scripts/build_electricity_demand.py
@@ -2,11 +2,10 @@
 #
 # SPDX-License-Identifier: MIT
 """
-This rule downloads the load data from `Open Power System Data Time series
-<https://data.open-power-system-data.org/time_series/>`_. For all countries in
+This rule downloads the load data from [Open Power System Data Time series](https://data.open-power-system-data.org/time_series/). For all countries in
 the network, the per country load timeseries are extracted from the dataset.
 After filling small gaps linearly and large gaps by copying time-slice of a
-given period, the load data is exported to a ``.csv`` file.
+given period, the load data is exported to a `.csv` file.
 """
 
 import logging
@@ -118,16 +117,18 @@ def manual_adjustment(load, fn_load, countries):
 
     Parameters
     ----------
-     load : pd.DataFrame
-         Load time-series with UTC timestamps x ISO-2 countries
-    load_fn: str
-         File name or url location (file format .csv)
+    load : pd.DataFrame
+        Load time-series with UTC timestamps x ISO-2 countries.
+    fn_load : str
+        File name or url location (file format .csv).
+    countries : list
+        List of country codes.
 
     Returns
     -------
-     load : pd.DataFrame
-         Manual adjusted and interpolated load time-series with UTC
-         timestamps x ISO-2 countries
+    load : pd.DataFrame
+        Manual adjusted and interpolated load time-series with UTC
+        timestamps x ISO-2 countries.
     """
 
     copy_timeslice(load, "UA", "2010-01-01 00:00", "2010-01-01 01:00", Delta(days=-1))
diff --git a/scripts/build_electricity_demand_base.py b/scripts/build_electricity_demand_base.py
index 4cd84b9faf..f79c9c42b7 100644
--- a/scripts/build_electricity_demand_base.py
+++ b/scripts/build_electricity_demand_base.py
@@ -69,7 +69,7 @@ def energy_atlas_distribution_keys(
 
     Parameters
     ----------
-    fn : str
+    raster_fn : str
         File path to the raster data (GeoTIFF format).
     regions : gpd.GeoDataFrame
         GeoDataFrame containing the regions with a 'country' column.
diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py
index 04f85693d7..9e778afdf1 100644
--- a/scripts/build_energy_totals.py
+++ b/scripts/build_energy_totals.py
@@ -5,10 +5,10 @@
 Build total energy demands and carbon emissions per country using JRC IDEES,
 eurostat, and EEA data.
 
-- Country-specific data is read in :func:`build_idees` and read in from :mod:`scripts/build_eurostat_balances` and :mod:`scripts/build_swiss_energy_balances`.
-- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
-- :func:`build_district_heat_share` calculates the share of district heating for each country from IDEES data.
-- Historical CO2 emissions are calculated in :func:`build_eea_co2` and :func:`build_eurostat_co2` and combined in :func:`build_co2_totals`.
+- Country-specific data is read in `build_idees` and read in from [build_eurostat_balances][] and `build_swiss_energy_balances`.
+- `build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
+- `build_district_heat_share` calculates the share of district heating for each country from IDEES data.
+- Historical CO2 emissions are calculated in `build_eea_co2` and `build_eurostat_co2` and combined in `build_co2_totals`.
 
 Outputs
 -------
@@ -42,10 +42,10 @@ def cartesian(s1: pd.Series, s2: pd.Series) -> pd.DataFrame:
 
     Parameters
     ----------
-        s1: pd.Series
-            The first pandas Series
-        s2: pd.Series:
-            The second pandas Series.
+    s1 : pd.Series
+        The first pandas Series.
+    s2 : pd.Series
+        The second pandas Series.
 
     Returns
     -------
@@ -1211,11 +1211,13 @@ def build_transformation_output_coke(eurostat, fn):
 
     Parameters
     ----------
-    eurostat (pd.DataFrame): A pandas DataFrame containing Eurostat data with
-                             a multi-level index
-    fn (str): The file path where the resulting CSV file should be saved.
+    eurostat : pd.DataFrame
+        A pandas DataFrame containing Eurostat data with a multi-level index.
+    fn : str
+        The file path where the resulting CSV file should be saved.
 
-    Output:
+    Notes
+    -----
     The resulting transformation output data for coke ovens is saved as a CSV
     file at the path specified in fn.
     """
diff --git a/scripts/build_geothermal_heat_potential.py b/scripts/build_geothermal_heat_potential.py
index df573866b7..a73129973c 100644
--- a/scripts/build_geothermal_heat_potential.py
+++ b/scripts/build_geothermal_heat_potential.py
@@ -10,12 +10,13 @@
 
 Relevant Settings
 -----------------
-.. code:: yaml
-    sector:
-        district_heating:
-            limited_heat_sources:
-                geothermal:
-                    constant_temperature_celsius
+```yaml
+sector:
+    district_heating:
+        limited_heat_sources:
+            geothermal:
+                constant_temperature_celsius
+```
 
 Inputs
 ------
diff --git a/scripts/build_heat_totals.py b/scripts/build_heat_totals.py
index 761aa3005d..370711c994 100644
--- a/scripts/build_heat_totals.py
+++ b/scripts/build_heat_totals.py
@@ -4,7 +4,7 @@
 """
 Approximate heat demand for all weather years.
 
-:func:`approximate_heat_demand` approximates annual heat demand based on energy totals and heating degree days (HDD) using a regression of heat demand on HDDs.
+`approximate_heat_demand` approximates annual heat demand based on energy totals and heating degree days (HDD) using a regression of heat demand on HDDs.
 
 Outputs
 -------
diff --git a/scripts/build_hourly_heat_demand.py b/scripts/build_hourly_heat_demand.py
index bdd249c792..aba6b4e497 100644
--- a/scripts/build_hourly_heat_demand.py
+++ b/scripts/build_hourly_heat_demand.py
@@ -6,7 +6,7 @@
 
 Water and space heating demand profiles are generated using intraday profiles from BDEW. Different profiles are used for the residential and services sectors as well as weekdays and weekend.
 
-The daily heat demand is multiplied by the intraday profile to obtain the hourly heat demand time series. The rule is executed in ``build_sector.smk``.
+The daily heat demand is multiplied by the intraday profile to obtain the hourly heat demand time series. The rule is executed in `build_sector.smk`.
 """
 
 import logging
@@ -46,7 +46,7 @@ def heat_dsm_profile(nodes, options):
         Node identifiers for which to generate profiles.
     options : dict
         Configuration dictionary containing:
-        - options['residential_heat']['dsm']['restriction_time']: list of int
+        - ``options["residential_heat"]["dsm"]["restriction_time"]``: list of int
             Hours at which storage must be empty (checkpoint hours).
 
     Returns
diff --git a/scripts/build_hydro_profile.py b/scripts/build_hydro_profile.py
index 7a4e2d9461..a91ace224f 100644
--- a/scripts/build_hydro_profile.py
+++ b/scripts/build_hydro_profile.py
@@ -7,20 +7,15 @@
 Outputs
 -------
 
-- ``resources/profile_hydro.nc``:
+- `resources/profile_hydro.nc`:
 
-    ===================  ================  =========================================================
-    Field                Dimensions        Description
-    ===================  ================  =========================================================
-    inflow               countries, time   Inflow to the state of charge (in MW),
-                                           e.g. due to river inflow in hydro reservoir.
-    ===================  ================  =========================================================
+| Field | Dimensions | Description |
+| --- | --- | --- |
+| inflow | countries, time | Inflow to the state of charge (in MW), e.g. due to river inflow in hydro reservoir. |
 
-    .. image:: img/inflow-ts.png
-        :scale: 33 %
+![](img/inflow-ts.png)
 
-    .. image:: img/inflow-box.png
-        :scale: 33 %
+![](img/inflow-box.png)
 """
 
 import logging
diff --git a/scripts/build_industrial_energy_demand_per_node_today.py b/scripts/build_industrial_energy_demand_per_node_today.py
index 8d7b354cec..c9609300a1 100644
--- a/scripts/build_industrial_energy_demand_per_node_today.py
+++ b/scripts/build_industrial_energy_demand_per_node_today.py
@@ -8,7 +8,7 @@
 -------
 
 This rule maps the industrial energy demand per country `industrial_energy_demand_per_country_today.csv` to each bus region.
-The energy demand per country is multiplied by the mapping value from the file ``industrial_distribution_key_base_s_{clusters}.csv`` between 0 and 1 to get the industrial energy demand per bus.
+The energy demand per country is multiplied by the mapping value from the file `industrial_distribution_key_base_s_{clusters}.csv` between 0 and 1 to get the industrial energy demand per bus.
 
 The unit of the energy demand is TWh/a.
 """
diff --git a/scripts/build_industrial_production_per_country.py b/scripts/build_industrial_production_per_country.py
index 77f5482373..f1395c8db7 100644
--- a/scripts/build_industrial_production_per_country.py
+++ b/scripts/build_industrial_production_per_country.py
@@ -9,7 +9,7 @@
 
 The industrial production is taken from the `JRC-IDEES <https://joint-research-centre.ec.europa.eu/potencia-policy-oriented-tool-energy-and-climate-change-impact-assessment/jrc-idees_en)>`.
 This dataset provides detailed information about the consumption of energy for various processes.
-If the country is not part of the EU28, the energy consumption in the industrial sectors is taken from the `Eurostat <https://ec.europa.eu/eurostat/de/data/database>` dataset. The industrial production is calculated for the year specified in the config["industry"]["reference_year"].
+If the country is not part of the EU28, the energy consumption in the industrial sectors is taken from the `Eurostat <https://ec.europa.eu/eurostat/de/data/database>` dataset. The industrial production is calculated for the year specified in the `config["industry"]["reference_year"]`.
 
 The ammonia production is provided by the rule `build_ammonia_production <https://pypsa-eur.readthedocs.io/en/latest/sector.html#module-build_ammonia_production>`. Since Switzerland is not part of the EU28 nor reported by eurostat, the energy consumption in the industrial sectors is taken from the `BFE <https://pubdb.bfe.admin.ch/de/publication/download/11817> dataset.
 After the industrial production is calculated, the basic chemicals are separated into ammonia, chlorine, methanol and HVC. The production of these chemicals is assumed to be proportional to the production of basic chemicals without ammonia.
diff --git a/scripts/build_industrial_production_per_country_tomorrow.py b/scripts/build_industrial_production_per_country_tomorrow.py
index b1943e9850..999a8268fd 100644
--- a/scripts/build_industrial_production_per_country_tomorrow.py
+++ b/scripts/build_industrial_production_per_country_tomorrow.py
@@ -7,7 +7,7 @@
 Description
 -------
 
-This rule uses the ``industrial_production_per_country.csv`` file and the expected recycling rates to calculate the future production of the industrial sectors.
+This rule uses the `industrial_production_per_country.csv` file and the expected recycling rates to calculate the future production of the industrial sectors.
 
 **St_primary_fraction**
 The fraction of steel that is coming from primary production. This is more energy intensive than recycling steel (secondary production).
diff --git a/scripts/build_industry_sector_ratios_intermediate.py b/scripts/build_industry_sector_ratios_intermediate.py
index ee9c24e336..cb9229eac4 100644
--- a/scripts/build_industry_sector_ratios_intermediate.py
+++ b/scripts/build_industry_sector_ratios_intermediate.py
@@ -9,7 +9,7 @@
 Description
 -------
 
-The config["industry"]["sector_ratios_fraction_future"] parameter determines the progress towards the future best-in-class consumption.
+The `config["industry"]["sector_ratios_fraction_future"]` parameter determines the progress towards the future best-in-class consumption.
 For each bus, the following industry subcategories
 
 - Electric arc
diff --git a/scripts/build_line_rating.py b/scripts/build_line_rating.py
index 82b7b1c037..d03435be14 100755
--- a/scripts/build_line_rating.py
+++ b/scripts/build_line_rating.py
@@ -9,7 +9,7 @@
 Description
 -----------
 
-The rule :mod:`build_line_rating` calculates the line rating for transmission lines.
+The rule [build_line_rating][] calculates the line rating for transmission lines.
 The line rating provides the maximal capacity of a transmission line considering the heat exchange with the environment.
 
 The following heat gains and losses are considered:
diff --git a/scripts/build_mobility_profiles.py b/scripts/build_mobility_profiles.py
index d3103edf93..f9ad6fa4ef 100644
--- a/scripts/build_mobility_profiles.py
+++ b/scripts/build_mobility_profiles.py
@@ -11,37 +11,26 @@
 Outputs
 -------
 
-- ``data/mobility_profiles/build/<version>/kfz.csv``: Weekly profile for all motor vehicles (cars, trucks, buses, motorcycles).
-- ``data/mobility_profiles/build/<version>/pkw.csv``: Weekly profile for passenger cars only.
+- `data/mobility_profiles/build/<version>/kfz.csv`: Weekly profile for all motor vehicles (cars, trucks, buses, motorcycles).
+- `data/mobility_profiles/build/<version>/pkw.csv`: Weekly profile for passenger cars only.
 
 **kfz.csv**
 
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    day                  day        day of week  Day of the week (0=Monday, 6=Sunday)
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    hour                 hour       hour of day  Hour of the day (0-23)
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    count                day, hour   --          Aggregated vehicle counts for all motor vehicles
-                                                 (across all aggregated years and street types)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    n_counts             day, hour   --          Number of data points that were aggregated.
-    ===================  ==========  ==========  =========================================================
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| day | day | day of week | Day of the week (0=Monday, 6=Sunday) |
+| hour | hour | hour of day | Hour of the day (0-23) |
+| count | day, hour | -- | Aggregated vehicle counts for all motor vehicles (across all aggregated years and street types) |
+| n_counts | day, hour | -- | Number of data points that were aggregated. |
 
 **pkw.csv**
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    day                  day         day of week Day of the week (0=Monday, 6=Sunday)
-    -------------------  ----------  ----------- ---------------------------------------------------------
-    hour                 hour        hour of day Hour of the day (0-23)
-    -------------------  ----------  ----------- ---------------------------------------------------------
-    count                day, hour   --          Aggregated vehicle counts for passenger cars only
-                                                 (across all aggregated years and street types)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    n_counts             day, hour   --          Number of data points that were aggregated.
-    ===================  ==========  ==========  =========================================================
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| day | day | day of week | Day of the week (0=Monday, 6=Sunday) |
+| hour | hour | hour of day | Hour of the day (0-23) |
+| count | day, hour | -- | Aggregated vehicle counts for passenger cars only (across all aggregated years and street types) |
+| n_counts | day, hour | -- | Number of data points that were aggregated. |
 
 """
 
diff --git a/scripts/build_monthly_prices.py b/scripts/build_monthly_prices.py
index 43df084d6c..be56c3f465 100644
--- a/scripts/build_monthly_prices.py
+++ b/scripts/build_monthly_prices.py
@@ -10,7 +10,7 @@
 Description
 -----------
 
-The rule :mod:`build_monthly_prices` collects monthly fuel prices
+The rule [build_monthly_prices][] collects monthly fuel prices
 and translates them from different input sources to pypsa syntax.
 """
 
diff --git a/scripts/build_natura.py b/scripts/build_natura.py
index 94f16a9b64..5f8e5a67f4 100644
--- a/scripts/build_natura.py
+++ b/scripts/build_natura.py
@@ -2,39 +2,34 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Rasters the vector data of the `Natura 2000.
-
-<https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas onto all
+Rasters the vector data of the [Natura 2000.](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas onto all
 cutout regions.
 
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    renewable:
-        {technology}:
-            cutout:
+```yaml
+renewable:
+    {technology}:
+        cutout:
+```
 
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`renewable_cf`
+!!! info "See also"
+    Documentation of the configuration file `config/config.yaml` at renewable_cf
 
 Inputs
 ------
 
-- ``data/bundle/natura/Natura2000_end2015.shp``: `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas.
+- `data/bundle/natura/Natura2000_end2015.shp`: [Natura 2000](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas.
 
-    .. image:: img/natura.png
-        :scale: 33 %
+    ![](img/natura.png)
 
 Outputs
 -------
 
-- ``resources/natura.tiff``: Rasterized version of `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas to reduce computation times.
+- `resources/natura.tiff`: Rasterized version of [Natura 2000](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas to reduce computation times.
 
-    .. image:: img/natura.png
-        :scale: 33 %
+    ![](img/natura.png)
 
 Description
 -----------
diff --git a/scripts/build_osm_boundaries.py b/scripts/build_osm_boundaries.py
index 345db010c7..172f7cc931 100755
--- a/scripts/build_osm_boundaries.py
+++ b/scripts/build_osm_boundaries.py
@@ -94,9 +94,12 @@ def build_osm_boundaries(country, adm1_path, offshore_shapes):
 
     Parameters
     ----------
-        - country (str): The country code (e.g., 'DE' for Germany).
-        - adm1_path (str): The file path to the administrative level 1 OSM data in JSON format.
-        - offshore_shapes (GeoDataFrame): A GeoDataFrame containing offshore shapes to clip the boundaries.
+    country : str
+        The country code (e.g., 'DE' for Germany).
+    adm1_path : str
+        The file path to the administrative level 1 OSM data in JSON format.
+    offshore_shapes : GeoDataFrame
+        A GeoDataFrame containing offshore shapes to clip the boundaries.
 
     Returns
     -------
diff --git a/scripts/build_osm_network.py b/scripts/build_osm_network.py
index a4f1523980..cc10057bd8 100644
--- a/scripts/build_osm_network.py
+++ b/scripts/build_osm_network.py
@@ -242,10 +242,14 @@ def split_overpassing_lines(lines, buses, distance_crs=DISTANCE_CRS, tol=1):
 
     Parameters
     ----------
-        - lines (GeoDataFrame): The lines to be split.
-        - buses (GeoDataFrame): The buses representing nodes.
-        - distance_crs (str): The coordinate reference system (CRS) for distance calculations.
-        - tol (float): The tolerance distance in meters for determining if a bus is within a line.
+    lines : GeoDataFrame
+        The lines to be split.
+    buses : GeoDataFrame
+        The buses representing nodes.
+    distance_crs : str
+        The coordinate reference system (CRS) for distance calculations.
+    tol : float
+        The tolerance distance in meters for determining if a bus is within a line.
 
     Returns
     -------
diff --git a/scripts/build_powerplants.py b/scripts/build_powerplants.py
index 364b286356..a7614ac576 100755
--- a/scripts/build_powerplants.py
+++ b/scripts/build_powerplants.py
@@ -5,62 +5,61 @@
 
 """
 Retrieves conventional powerplant capacities and locations from
-`powerplantmatching <https://github.com/PyPSA/powerplantmatching>`_, assigns
-these to buses and creates a ``.csv`` file. It is possible to amend the
+[powerplantmatching](https://github.com/PyPSA/powerplantmatching), assigns
+these to buses and creates a `.csv` file. It is possible to amend the
 powerplant database with custom entries provided in
-``data/custom_powerplants.csv``.
+`data/custom_powerplants.csv`.
 Lastly, for every substation, powerplants with zero-initial capacity can be added for certain fuel types automatically.
 
 Outputs
 -------
 
-- ``resource/powerplants_s_{clusters}.csv``: A list of conventional power plants (i.e. neither wind nor solar) with fields for name, fuel type, technology, country, capacity in MW, duration, commissioning year, retrofit year, latitude, longitude, and dam information as documented in the `powerplantmatching README <https://github.com/PyPSA/powerplantmatching/blob/master/README.md>`_; additionally it includes information on the closest substation/bus in ``networks/base_s_{clusters}.nc``.
+- `resource/powerplants_s_{clusters}.csv`: A list of conventional power plants (i.e. neither wind nor solar) with fields for name, fuel type, technology, country, capacity in MW, duration, commissioning year, retrofit year, latitude, longitude, and dam information as documented in the [powerplantmatching README](https://github.com/PyPSA/powerplantmatching/blob/master/README.md); additionally it includes information on the closest substation/bus in `networks/base_s_{clusters}.nc`.
 
-    .. image:: img/powerplantmatching.png
-        :scale: 30 %
+    ![](img/powerplantmatching.png)
 
-    **Source:** `powerplantmatching on GitHub <https://github.com/PyPSA/powerplantmatching>`_
+    **Source:** [powerplantmatching on GitHub](https://github.com/PyPSA/powerplantmatching)
 
 Description
 -----------
 
-The configuration options ``electricity: powerplants_filter`` and ``electricity: custom_powerplants`` can be used to control whether data should be retrieved from the original powerplants database or from custom amendments. These specify `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ commands.
-In addition the configuration option ``electricity: everywhere_powerplants`` can be used to place powerplants with zero-initial capacity of certain fuel types at all substations.
+The configuration options `electricity: powerplants_filter` and `electricity: custom_powerplants` can be used to control whether data should be retrieved from the original powerplants database or from custom amendments. These specify [pandas.query](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html) commands.
+In addition the configuration option `electricity: everywhere_powerplants` can be used to place powerplants with zero-initial capacity of certain fuel types at all substations.
 
 1. Adding all powerplants from custom:
 
-    .. code:: yaml
-
-        powerplants_filter: false
-        custom_powerplants: true
+    ```yaml
+    powerplants_filter: false
+    custom_powerplants: true
+    ```
 
 2. Replacing powerplants in e.g. Germany by custom data:
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany']
-        custom_powerplants: true
+    ```yaml
+    powerplants_filter: Country not in ['Germany']
+    custom_powerplants: true
+    ```
 
     or
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany']
-        custom_powerplants: Country in ['Germany']
+    ```yaml
+    powerplants_filter: Country not in ['Germany']
+    custom_powerplants: Country in ['Germany']
+    ```
 
 
 3. Adding additional built year constraints:
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany'] and YearCommissioned <= 2015
-        custom_powerplants: YearCommissioned <= 2015
+    ```yaml
+    powerplants_filter: Country not in ['Germany'] and YearCommissioned <= 2015
+    custom_powerplants: YearCommissioned <= 2015
+    ```
 
 4. Adding powerplants at all substations for 4 conventional carrier types:
 
-    .. code:: yaml
-
-        everywhere_powerplants: ['Natural Gas', 'Coal', 'nuclear', 'OCGT']
+    ```yaml
+    everywhere_powerplants: ['Natural Gas', 'Coal', 'nuclear', 'OCGT']
+    ```
 """
 
 import itertools
diff --git a/scripts/build_ptes_operations/run.py b/scripts/build_ptes_operations/run.py
index 169e7612ef..984df261f8 100644
--- a/scripts/build_ptes_operations/run.py
+++ b/scripts/build_ptes_operations/run.py
@@ -19,14 +19,15 @@
 
 Relevant Settings
 -----------------
-.. code:: yaml
-    sector
-        district_heating:
-            ptes:
-                dynamic_ptes_capacity:
-                supplemental_heating:
-                    enable:
-                max_top_temperature:
+```yaml
+sector
+    district_heating:
+        ptes:
+            dynamic_ptes_capacity:
+            supplemental_heating:
+                enable:
+            max_top_temperature:
+```
 
 Inputs
 ------
diff --git a/scripts/build_renewable_profiles.py b/scripts/build_renewable_profiles.py
index 0ea3119dc8..3610d6cfad 100644
--- a/scripts/build_renewable_profiles.py
+++ b/scripts/build_renewable_profiles.py
@@ -3,47 +3,35 @@
 # SPDX-License-Identifier: MIT
 """
 Calculates for each clustered region the (i) installable capacity (based on
-land-use from :mod:`determine_availability_matrix`), (ii) the available
+land-use from [determine_availability_matrix][]), (ii) the available
 generation time series (based on weather data), and (iii) the average distance
 from the node for onshore wind, AC-connected offshore wind, DC-connected
 offshore wind and solar PV generators.
 
-.. note:: Hydroelectric profiles are built in script :mod:`build_hydro_profiles`.
+**Note:** Hydroelectric profiles are built in script `build_hydro_profiles`.
 
 Outputs
 -------
 
-- ``resources/profile_{technology}.nc`` with the following structure
+- `resources/profile_{technology}.nc` with the following structure
 
-    ===================  ====================  =========================================================
-    Field                Dimensions            Description
-    ===================  ====================  =========================================================
-    profile              year, bus, bin, time  the per unit hourly availability factors for each bus
-    -------------------  --------------------  ---------------------------------------------------------
-    p_nom_max            bus, bin              maximal installable capacity at the bus (in MW)
-    -------------------  --------------------  ---------------------------------------------------------
-    average_distance     bus, bin              average distance of units in the region to the
-                                               grid bus for onshore technologies and to the shoreline
-                                               for offshore technologies (in km)
-    ===================  ====================  =========================================================
+| Field | Dimensions | Description |
+| --- | --- | --- |
+| profile | year, bus, bin, time | the per unit hourly availability factors for each bus |
+| p_nom_max | bus, bin | maximal installable capacity at the bus (in MW) |
+| average_distance | bus, bin | average distance of units in the region to the grid bus for onshore technologies and to the shoreline for offshore technologies (in km) |
 
-    - **profile**
+- **profile**
 
-    .. image:: img/profile_ts.png
-        :scale: 33 %
-        :align: center
+![](img/profile_ts.png)
 
-    - **p_nom_max**
+- **p_nom_max**
 
-    .. image:: img/p_nom_max_hist.png
-        :scale: 33 %
-        :align: center
+![](img/p_nom_max_hist.png)
 
-    - **average_distance**
+- **average_distance**
 
-    .. image:: img/distance_hist.png
-        :scale: 33 %
-        :align: center
+![](img/distance_hist.png)
 
 Description
 -----------
@@ -54,7 +42,7 @@
 so we have to work out the distribution of generators across the grid cells
 within each region. This is done by taking account of a combination of the
 available land at each grid cell (computed in
-:mod:`determine_availability_matrix`) and the capacity factor there.
+[determine_availability_matrix][]) and the capacity factor there.
 
 Based on the availability matrix, the script first computes how much of the
 technology can be installed at each cutout grid cell. To compute the layout of
@@ -65,24 +53,16 @@
 Based on the average capacity factor, the potentials are further divided into a
 configurable number of resource classes (bins).
 
-.. image:: img/offwinddc-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/offwinddc-gridcell.png)
 
-.. image:: img/offwindac-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/offwindac-gridcell.png)
 
-.. image:: img/onwind-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/onwind-gridcell.png)
 
-.. image:: img/solar-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/solar-gridcell.png)
 
 This layout is then used to compute the generation availability time series from
-the weather data cutout from ``atlite``.
+the weather data cutout from `atlite`.
 
 The maximal installable potential for the node (`p_nom_max`) is computed by
 adding up the installable potentials of the individual grid cells.
diff --git a/scripts/build_shapes.py b/scripts/build_shapes.py
index ffb6512a10..a5461eeec0 100755
--- a/scripts/build_shapes.py
+++ b/scripts/build_shapes.py
@@ -197,7 +197,8 @@ def simplify_europe(regions):
 
     Parameters
     ----------
-        regions (GeoDataFrame): A GeoDataFrame containing the geometries of European regions.
+    regions : GeoDataFrame
+        A GeoDataFrame containing the geometries of European regions.
 
     Returns
     -------
@@ -262,13 +263,30 @@ def create_regions(
 
     Parameters
     ----------
-        - country_list (list): List of country codes to include.
-        - nuts3_path (str): Path to the NUTS3 2021 shapefile.
-        - ba_adm1_path (str): Path to adm1 boundaries for Bosnia and  Herzegovina.
-        - md_adm1_path (str): Path to adm1 boundaries for Moldova.
-        - ua_adm1_path (str): Path to adm1 boundaries for Ukraine.
-        - xk_adm1_path (str): Path to adm1 boundaries for Kosovo.
-        - offshore_shapes (geopandas.GeoDataFrame): Geographical shapes of the exclusive economic zones.
+    country_list : list
+        List of country codes to include.
+    nuts3_path : str
+        Path to the NUTS3 2021 shapefile.
+    ba_adm1_path : str
+        Path to adm1 boundaries for Bosnia and Herzegovina.
+    md_adm1_path : str
+        Path to adm1 boundaries for Moldova.
+    ua_adm1_path : str
+        Path to adm1 boundaries for Ukraine.
+    xk_adm1_path : str
+        Path to adm1 boundaries for Kosovo.
+    offshore_shapes : geopandas.GeoDataFrame
+        Geographical shapes of the exclusive economic zones.
+    nuts3_gdp : str
+        Path to NUTS3 GDP data.
+    nuts3_pop : str
+        Path to NUTS3 population data.
+    bidding_zones_path : str
+        Path to bidding zones shapefile.
+    other_gdp : str
+        Path to GDP data for non-NUTS3 countries.
+    other_pop : str
+        Path to population data for non-NUTS3 countries.
 
     Returns
     -------
@@ -401,12 +419,16 @@ def calc_gdp_pop(country, regions, gdp_non_nuts3, pop_non_nuts3):
 
     Parameters
     ----------
-        - country (str): The two-letter country code of the non-NUTS3 region.
-        - regions (GeoDataFrame): A GeoDataFrame containing the regions.
-        - gdp_non_nuts3 (str): The file path to the dataset containing the GDP p.c values
-          for non NUTS3 countries (e.g. MD, UA)
-        - pop_non_nuts3 (str): The file path to the dataset containing the POP values
-        for non NUTS3 countries (e.g. MD, UA)
+    country : str
+        The two-letter country code of the non-NUTS3 region.
+    regions : GeoDataFrame
+        A GeoDataFrame containing the regions.
+    gdp_non_nuts3 : str
+        The file path to the dataset containing the GDP p.c values
+        for non NUTS3 countries (e.g. MD, UA).
+    pop_non_nuts3 : str
+        The file path to the dataset containing the POP values
+        for non NUTS3 countries (e.g. MD, UA).
 
     Returns
     -------
diff --git a/scripts/build_ship_raster.py b/scripts/build_ship_raster.py
index f1db07cb58..576e713ccf 100644
--- a/scripts/build_ship_raster.py
+++ b/scripts/build_ship_raster.py
@@ -2,18 +2,15 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Transforms the global ship density data from the `World Bank Data Catalogue.
-
-<https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density>`_
+Transforms the global ship density data from the [World Bank Data Catalogue.](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density)
 to the size of the considered cutout. The global ship density raster is later
 used for the exclusion when calculating the offshore potentials.
 
 Outputs
 -------
 
-- ``resources/europe_shipdensity_raster.nc``: Reduced version of global shipping
-  traffic density from `World Bank Data Catalogue
-  <https://datacatalog.worldbank.org/search/dataset/0037580/>`_ to reduce
+- `resources/europe_shipdensity_raster.nc`: Reduced version of global shipping
+  traffic density from [World Bank Data Catalogue](https://datacatalog.worldbank.org/search/dataset/0037580/) to reduce
   computation time.
 
 Description
diff --git a/scripts/build_solar_thermal_profiles.py b/scripts/build_solar_thermal_profiles.py
index 5d4fef2b5b..dd952ab5c6 100644
--- a/scripts/build_solar_thermal_profiles.py
+++ b/scripts/build_solar_thermal_profiles.py
@@ -5,10 +5,10 @@
 Build solar thermal collector profile time series.
 
 Uses ``atlite.Cutout.solar_thermal` to compute heat generation for clustered onshore regions from population layout and weather data cutout.
-The rule is executed in ``build_sector.smk``.
+The rule is executed in `build_sector.smk`.
 
-.. seealso::
-    `Atlite.Cutout.solar_thermal <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
+!!! info "See also"
+    [Atlite.Cutout.solar_thermal](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
diff --git a/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py b/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
index 6a2d2a33b1..fd6a4047c0 100644
--- a/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
+++ b/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
@@ -15,17 +15,17 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    sector:
-        district_heating:
-            dh_area_buffer: # Buffer around DH areas in meters to include nearby rivers
-            heat_source_cooling: # Exploitable temperature delta
-    snapshots:
-        start:
-        end:
-    enable:
-        drop_leap_day:
+```yaml
+sector:
+    district_heating:
+        dh_area_buffer: # Buffer around DH areas in meters to include nearby rivers
+        heat_source_cooling: # Exploitable temperature delta
+snapshots:
+    start:
+    end:
+enable:
+    drop_leap_day:
+```
 
 Inputs
 ------
diff --git a/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py b/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
index a44e4a5c8d..882a7b8004 100644
--- a/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
+++ b/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
@@ -14,17 +14,17 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    sector:
-        district_heating:
-            dh_area_buffer: # Buffer around DH areas in meters to include nearby coastal areas
-            heat_source_cooling: # Exploitable temperature delta
-    snapshots:
-        start:
-        end:
-    enable:
-        drop_leap_day:
+```yaml
+sector:
+    district_heating:
+        dh_area_buffer: # Buffer around DH areas in meters to include nearby coastal areas
+        heat_source_cooling: # Exploitable temperature delta
+snapshots:
+    start:
+    end:
+enable:
+    drop_leap_day:
+```
 
 Inputs
 ------
diff --git a/scripts/build_temperature_profiles.py b/scripts/build_temperature_profiles.py
index 4e351f0e03..36df39ffd7 100644
--- a/scripts/build_temperature_profiles.py
+++ b/scripts/build_temperature_profiles.py
@@ -4,13 +4,11 @@
 """
 Build time series for air and soil temperatures per clustered model region.
 
-Uses ``atlite.Cutout.temperature`` and ``atlite.Cutout.soil_temperature compute temperature ambient air and soil temperature for the respective cutout. The rule is executed in ``build_sector.smk``.
+Uses `atlite.Cutout.temperature` and `atlite.Cutout.soil_temperature compute temperature ambient air and soil temperature for the respective cutout. The rule is executed in `build_sector.smk``.
 
 
-.. seealso::
-    `Atlite.Cutout.temperature <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-    `Atlite.Cutout.soil_temperature <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-
+!!! info "See also"
+    [Atlite.Cutout.temperature](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert) [Atlite.Cutout.soil_temperature](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
diff --git a/scripts/build_transmission_projects.py b/scripts/build_transmission_projects.py
index e5c540c710..cbafbdee21 100644
--- a/scripts/build_transmission_projects.py
+++ b/scripts/build_transmission_projects.py
@@ -5,24 +5,24 @@
 
 """
 Gets the transmission projects defined in the config file, concatenates and
-deduplicates them. Projects are later included in :mod:`add_electricity.py`.
+deduplicates them. Projects are later included in [add_electricity][].
 
 Inputs
 ------
 
-- ``networks/base_network.nc``:  Base network topology for the electricity grid. This is processed in :mod:`base_network.py`.
-- ``data/transmission_projects/"project_name"/``: Takes the transmission projects from the subfolder of data/transmission_projects. The subfolder name is the project name.
-- ``offshore_shapes.geojson``: Shapefile containing the offshore regions. Used to determine if a new bus should be added for a new line or link.
-- ``europe_shape.geojson``: Shapefile containing the shape of Europe. Used to determine if a project is within the considered countries.
+- `networks/base_network.nc`:  Base network topology for the electricity grid. This is processed in [base_network][].
+- `data/transmission_projects/"project_name"/`: Takes the transmission projects from the subfolder of data/transmission_projects. The subfolder name is the project name.
+- `offshore_shapes.geojson`: Shapefile containing the offshore regions. Used to determine if a new bus should be added for a new line or link.
+- `europe_shape.geojson`: Shapefile containing the shape of Europe. Used to determine if a project is within the considered countries.
 
 Outputs
 -------
 
-- ``transmission_projects/new_lines.csv``: New project lines to be added to the network. This includes new lines and upgraded lines.
-- ``transmission_projects/new_links.csv``: New project links to be added to the network. This includes new links and upgraded links.
-- ``transmission_projects/adjust_lines.csv``: For lines which are upgraded, the decommissioning year of the existing line is adjusted to the build year of the upgraded line.
-- ``transmission_projects/adjust_links.csv``: For links which are upgraded, the decommissioning year of the existing link is adjusted to the build year of the upgraded link.
-- ``transmission_projects/new_buses.csv``: For some links, we have to add new buses (e.g. North Sea Wind Power Hub).
+- `transmission_projects/new_lines.csv`: New project lines to be added to the network. This includes new lines and upgraded lines.
+- `transmission_projects/new_links.csv`: New project links to be added to the network. This includes new links and upgraded links.
+- `transmission_projects/adjust_lines.csv`: For lines which are upgraded, the decommissioning year of the existing line is adjusted to the build year of the upgraded line.
+- `transmission_projects/adjust_links.csv`: For links which are upgraded, the decommissioning year of the existing link is adjusted to the build year of the upgraded link.
+- `transmission_projects/new_buses.csv`: For some links, we have to add new buses (e.g. North Sea Wind Power Hub).
 """
 
 import logging
@@ -148,13 +148,16 @@ def get_branch_coords_from_geometry(linestring, reversed=False):
 
     Parameters
     ----------
-    linestring: Shapely linestring
-    reversed (bool, optional): If True, returns the end and start points instead of the start and end points.
-                               Defaults to False.
+    linestring : Shapely linestring
+        The linestring to reduce.
+    reversed : bool, optional
+        If True, returns the end and start points instead of the start and end points.
+        Defaults to False.
 
     Returns
     -------
-    numpy.ndarray: Flattened array of start and end coordinates.
+    numpy.ndarray
+        Flattened array of start and end coordinates.
     """
     coords = np.asarray(linestring.coords)
     ind = [0, -1] if not reversed else [-1, 0]
@@ -168,9 +171,8 @@ def get_branch_coords_from_buses(line):
 
     Parameters
     ----------
-    linestring: shapely linestring
-    reversed (bool, optional): If True, returns the end and start points instead of the start and end points.
-                               Defaults to False.
+    line : pandas.Series
+        A row from a branch component DataFrame with bus0 and bus1 attributes.
 
     Returns
     -------
diff --git a/scripts/build_tyndp_network.py b/scripts/build_tyndp_network.py
index 362df8b91d..ce8f340b7e 100644
--- a/scripts/build_tyndp_network.py
+++ b/scripts/build_tyndp_network.py
@@ -84,15 +84,25 @@ def extract_shape_by_bbox(
 
     Parameters
     ----------
-        - gdf (GeoDataFrame): GeoDataFrame containing country geometries.
-        - country (str): The country code or name to filter.
-        - min_lon, max_lon (float): Longitude bounds for extraction.
-        - min_lat, max_lat (float): Latitude bounds for extraction.
-        - region_id (str): String to assign an ID to the extracted region.
+    gdf : GeoDataFrame
+        GeoDataFrame containing country geometries.
+    country : str
+        The country code or name to filter.
+    min_lon : float
+        Minimum longitude bound for extraction.
+    max_lon : float
+        Maximum longitude bound for extraction.
+    min_lat : float
+        Minimum latitude bound for extraction.
+    max_lat : float
+        Maximum latitude bound for extraction.
+    region_id : str
+        String to assign an ID to the extracted region.
 
     Returns
     -------
-        - gdf_new: Updated GeoDataFrame with the extracted shape separated.
+    GeoDataFrame
+        Updated GeoDataFrame with the extracted shape separated.
     """
     country_gdf = gdf.explode().query(f"country == '{country}'").reset_index(drop=True)
 
@@ -124,15 +134,19 @@ def build_shapes(
 
     Parameters
     ----------
-        - bz_fn (str): Path to bidding zone shape file.
-        - countries (list[str]): List of countries to consider
-        - geo_crs (CRS, optional): Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-        - distance_crs (CRS, optional): Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
+    bz_fn : str
+        Path to bidding zone shape file.
+    countries : list[str]
+        List of countries to consider.
+    geo_crs : CRS, optional
+        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
+    distance_crs : CRS, optional
+        Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
 
     Returns
     -------
-        - bidding_shapes: A GeoDataFrame including bidding zone geometry, representative point and id.
-        - country_shapes: A GeoDataFrame including country geometry and representative point.
+    tuple
+        A tuple of (bidding_shapes, country_shapes) GeoDataFrames.
     """
     bidding_zones = gpd.read_file(bz_fn)
 
@@ -192,17 +206,21 @@ def build_buses(
 
     Parameters
     ----------
-        - buses_fn (str): Path to bidding zone shape file.
-        - countries (List[str]): List of countries to consider
-        - bidding_shapes (GeoDataFrame): A GeoDataFrame including bidding zone geometry, representative point and id.
-        - country_shapes (GeoDataFrame): A GeoDataFrame including country geometry and representative point.
-        - geo_crs (CRS, optional): Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-
+    buses_fn : str
+        Path to bidding zone shape file.
+    countries : list[str]
+        List of countries to consider.
+    bidding_shapes : GeoDataFrame
+        A GeoDataFrame including bidding zone geometry, representative point and id.
+    country_shapes : GeoDataFrame
+        A GeoDataFrame including country geometry and representative point.
+    geo_crs : CRS, optional
+        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
 
     Returns
     -------
-        - buses: A GeoDataFrame of electrical buses including country and coordinates.
-        - buses_h2: A GeoDataFrame of hydrogen buses including country and coordinates.
+    tuple
+        A tuple of (buses, buses_h2) GeoDataFrames.
     """
     buses = (
         pd.read_excel(buses_fn)
@@ -307,14 +325,19 @@ def build_links(
 
     Parameters
     ----------
-        - grid_fn (str | Path): Path to bidding zone shape file.
-        - geo_crs (CRS, optional): Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-        - distance_crs (CRS, optional): Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
+    grid_fn : str | Path
+        Path to bidding zone shape file.
+    buses : GeoDataFrame
+        A GeoDataFrame of buses.
+    geo_crs : CRS, optional
+        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
+    distance_crs : CRS, optional
+        Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
 
     Returns
     -------
-        - links: A GeoDataFrame including NTC from the reference grid.
-
+    GeoDataFrame
+        A GeoDataFrame including NTC from the reference grid.
     """
     links = pd.read_excel(grid_fn)
     links["Border"] = links["Border"].apply(format_grid_names)
diff --git a/scripts/cluster_network.py b/scripts/cluster_network.py
index f64e24dc34..d961835729 100644
--- a/scripts/cluster_network.py
+++ b/scripts/cluster_network.py
@@ -4,63 +4,50 @@
 
 
 """
-Creates networks clustered to ``{cluster}`` number of zones with aggregated
+Creates networks clustered to `{cluster}` number of zones with aggregated
 buses and transmission corridors.
 
 Outputs
 -------
 
-- ``resources/regions_onshore_base_s_{clusters}.geojson``:
+- `resources/regions_onshore_base_s_{clusters}.geojson`:
 
-    .. image:: img/regions_onshore_base_s_X.png
-        :scale: 33 %
+    ![](img/regions_onshore_base_s_X.png)
 
-- ``resources/regions_offshore_base_s_{clusters}.geojson``:
+- `resources/regions_offshore_base_s_{clusters}.geojson`:
 
-    .. image:: img/regions_offshore_base_s_X.png
-        :scale: 33 %
+    ![](img/regions_offshore_base_s_X.png)
 
-- ``resources/busmap_base_s_{clusters}.csv``: Mapping of buses from ``networks/base.nc`` to ``networks/base_s_{clusters}.nc``;
-- ``resources/linemap_base_s_{clusters}.csv``: Mapping of lines from ``networks/base.nc`` to ``networks/base_s_{clusters}.nc``;
-- ``networks/base_s_{clusters}.nc``:
+- `resources/busmap_base_s_{clusters}.csv`: Mapping of buses from `networks/base.nc` to `networks/base_s_{clusters}.nc`;
+- `resources/linemap_base_s_{clusters}.csv`: Mapping of lines from `networks/base.nc` to `networks/base_s_{clusters}.nc`;
+- `networks/base_s_{clusters}.nc`:
 
-    .. image:: img/base_s_X.png
-        :scale: 40  %
+    ![](img/base_s_X.png)
 
 Description
 -----------
 
-.. note::
-
-    **Is it possible to run the model without the** ``simplify_network`` **rule?**
+**Note:** **Is it possible to run the model without the** `simplify_network` **rule?**
 
         No, the network clustering methods in the PyPSA module
-        `pypsa.clustering.spatial <https://github.com/PyPSA/PyPSA/blob/master/pypsa/clustering/spatial.py>`_
+        [pypsa.clustering.spatial](https://github.com/PyPSA/PyPSA/blob/master/pypsa/clustering/spatial.py)
         do not work reliably with multiple voltage levels and transformers.
 
 Exemplary unsolved network clustered to 512 nodes:
 
-.. image:: img/base_s_512.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_512.png)
 
 Exemplary unsolved network clustered to 256 nodes:
 
-.. image:: img/base_s_256.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_256.png)
 
 Exemplary unsolved network clustered to 128 nodes:
 
-.. image:: img/base_s_128.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_128.png)
 
 Exemplary unsolved network clustered to 37 nodes:
 
-.. image:: img/base_s_37.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_37.png)
 """
 
 import logging
@@ -439,9 +426,12 @@ def cluster_regions(
 
     Parameters
     ----------
-        - busmaps (list) : A list of busmaps used for clustering.
-        - regions (gpd.GeoDataFrame) : The regions to cluster.
-        - with_country (bool) : Whether to keep country column.
+    busmaps : list
+        A list of busmaps used for clustering.
+    regions : gpd.GeoDataFrame
+        The regions to cluster.
+    with_country : bool
+        Whether to keep country column.
 
     Returns
     -------
@@ -465,9 +455,12 @@ def busmap_for_admin_regions(
 
     Parameters
     ----------
-        - n (pypsa.Network) : The network to cluster.
-        - admin_shapes (str) : The path to the administrative regions.
-        - params (dict) : The parameters for clustering.
+    n : pypsa.Network
+        The network to cluster.
+    admin_shapes : str
+        The path to the administrative regions.
+    params : dict
+        The parameters for clustering.
 
     Returns
     -------
@@ -527,7 +520,8 @@ def keep_largest_polygon(geometry: MultiPolygon) -> Polygon:
 
     Parameters
     ----------
-        geometry (MultiPolygon) : The MultiPolygon to check.
+    geometry : MultiPolygon
+        The MultiPolygon to check.
 
     Returns
     -------
@@ -557,12 +551,18 @@ def update_bus_coordinates(
 
     Parameters
     ----------
-        - n (pypsa.Network) : The original network.
-        - busmap (pd.Series) : The busmap mapping each bus to an administrative region.
-        - admin_shapes (str) : The path to the administrative regions.
-        - geo_crs (str) : The geographic coordinate reference system.
-        - distance_crs (str) : The distance coordinate reference system.
-        - tol (float) : The tolerance in meters for the PoI calculation.
+    n : pypsa.Network
+        The original network.
+    busmap : pd.Series
+        The busmap mapping each bus to an administrative region.
+    admin_shapes : str
+        The path to the administrative regions.
+    geo_crs : str
+        The geographic coordinate reference system.
+    distance_crs : str
+        The distance coordinate reference system.
+    tol : float
+        The tolerance in meters for the PoI calculation.
 
     Returns
     -------
diff --git a/scripts/determine_availability_matrix.py b/scripts/determine_availability_matrix.py
index 10f3dfc0a8..f971c2d601 100644
--- a/scripts/determine_availability_matrix.py
+++ b/scripts/determine_availability_matrix.py
@@ -4,7 +4,7 @@
 """
 The script performs a land eligibility analysis of what share of land is
 availability for developing the selected technology at each cutout grid cell.
-The script uses the `atlite <https://github.com/pypsa/atlite>`_ library and
+The script uses the [atlite](https://github.com/pypsa/atlite) library and
 several GIS datasets like the CORINE land use data, LUISA land use data,
 Natura2000 nature reserves, GEBCO bathymetry data, and shipping lanes.
 
@@ -12,46 +12,38 @@
 Inputs
 ------
 
-- ``data/bundle/corine/g250_clc06_V18_5.tif``: `CORINE Land Cover (CLC)
-  <https://land.copernicus.eu/pan-european/corine-land-cover>`_ inventory on `44
-  classes <https://wiki.openstreetmap.org/wiki/Corine_Land_Cover#Tagging>`_ of
+- `data/bundle/corine/g250_clc06_V18_5.tif`: [CORINE Land Cover (CLC)](https://land.copernicus.eu/pan-european/corine-land-cover) inventory on [44
+  classes](https://wiki.openstreetmap.org/wiki/Corine_Land_Cover#Tagging) of
   land use (e.g. forests, arable land, industrial, urban areas) at 100m
   resolution.
 
-    .. image:: img/corine.png
-        :scale: 33 %
+    ![](img/corine.png)
 
-- ``data/LUISA_basemap_020321_50m.tif``: `LUISA Base Map
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC124621>`_ land
+- `data/LUISA_basemap_020321_50m.tif`: [LUISA Base Map](https://publications.jrc.ec.europa.eu/repository/handle/JRC124621) land
   coverage dataset at 50m resolution similar to CORINE. For codes in relation to
-  CORINE land cover, see `Annex 1 of the technical documentation
-  <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_.
-
-- ``data/bundle/gebco/GEBCO_2014_2D.nc``: A `bathymetric
-  <https://en.wikipedia.org/wiki/Bathymetry>`_ data set with a global terrain
-  model for ocean and land at 15 arc-second intervals by the `General
-  Bathymetric Chart of the Oceans (GEBCO)
-  <https://www.gebco.net/data_and_products/gridded_bathymetry_data/>`_.
-
-    .. image:: img/gebco_2019_grid_image.jpg
-        :scale: 50 %
-
-    **Source:** `GEBCO
-    <https://www.gebco.net/data_and_products/images/gebco_2019_grid_image.jpg>`_
-
-- ``resources/natura.tiff``: confer :ref:`natura`
-- ``resources/offshore_shapes.geojson``: confer :ref:`shapes`
-- ``resources/regions_onshore_base_s_{clusters}.geojson``: (if not offshore
-  wind), confer :ref:`busregions`
-- ``resources/regions_offshore_base_s_{clusters}.geojson``: (if offshore wind),
-  :ref:`busregions`
-- ``"cutouts/" + params["renewable"][{technology}]['cutout']``: :ref:`cutout`
-- ``networks/_base_s_{clusters}.nc``: :ref:`base`
+  CORINE land cover, see [Annex 1 of the technical documentation](https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf).
+
+- `data/bundle/gebco/GEBCO_2014_2D.nc`: A [bathymetric](https://en.wikipedia.org/wiki/Bathymetry) data set with a global terrain
+  model for ocean and land at 15 arc-second intervals by the [General
+  Bathymetric Chart of the Oceans (GEBCO)](https://www.gebco.net/data_and_products/gridded_bathymetry_data/).
+
+    ![](img/gebco_2019_grid_image.jpg)
+
+    **Source:** [GEBCO](https://www.gebco.net/data_and_products/images/gebco_2019_grid_image.jpg)
+
+- `resources/natura.tiff`: confer natura
+- `resources/offshore_shapes.geojson`: confer shapes
+- `resources/regions_onshore_base_s_{clusters}.geojson`: (if not offshore
+  wind), confer busregions
+- `resources/regions_offshore_base_s_{clusters}.geojson`: (if offshore wind),
+  busregions
+- `"cutouts/" + params["renewable"][{technology}]['cutout']`: cutout
+- `networks/_base_s_{clusters}.nc`: base
 
 Outputs
 -------
 
-- ``resources/availability_matrix_{clusters_{technology}.nc``
+- `resources/availability_matrix_{clusters_{technology}.nc`
 """
 
 import functools
diff --git a/scripts/plot_heat_source_map.py b/scripts/plot_heat_source_map.py
index aeffd5a921..1b724820c9 100644
--- a/scripts/plot_heat_source_map.py
+++ b/scripts/plot_heat_source_map.py
@@ -20,12 +20,12 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    plotting:
-        heat_source_map:
-            temperature_cmap: "Reds"  # Colormap for temperature data
-            energy_cmap: "Oranges"    # Colormap for energy data
+```yaml
+plotting:
+    heat_source_map:
+        temperature_cmap: "Reds"  # Colormap for temperature data
+        energy_cmap: "Oranges"    # Colormap for energy data
+```
 
 Inputs
 ------
diff --git a/scripts/plot_interactive_bus_balance.py b/scripts/plot_interactive_bus_balance.py
index b1c70e417a..10d282fa14 100644
--- a/scripts/plot_interactive_bus_balance.py
+++ b/scripts/plot_interactive_bus_balance.py
@@ -16,12 +16,12 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    plotting:
-        tech_colors: # Color mapping for different technologies/carriers
-        balance_timeseries:
-            bus_name_pattern: # Pattern to filter buses (e.g., 'DE*' for German buses)
+```yaml
+plotting:
+    tech_colors: # Color mapping for different technologies/carriers
+    balance_timeseries:
+        bus_name_pattern: # Pattern to filter buses (e.g., 'DE*' for German buses)
+```
 
 Inputs
 ------
diff --git a/scripts/prepare_network.py b/scripts/prepare_network.py
index 7cf0e98f69..63e52a0927 100755
--- a/scripts/prepare_network.py
+++ b/scripts/prepare_network.py
@@ -4,7 +4,7 @@
 
 
 """
-Prepare PyPSA network for solving according to :ref:`opts`, such
+Prepare PyPSA network for solving according to opts, such
 as.
 
 - adding an annual **limit** of carbon-dioxide emissions,
@@ -13,15 +13,15 @@
 - specifying an expansion limit on the **cost** of transmission expansion,
 - specifying an expansion limit on the **volume** of transmission expansion, and
 - reducing the **temporal** resolution by averaging over multiple hours
-  or segmenting time series into chunks of varying lengths using ``tsam``.
+  or segmenting time series into chunks of varying lengths using `tsam`.
 
 Description
 -----------
 
-.. tip::
-    The rule :mod:`prepare_elec_networks` runs
-    for all ``scenario`` s in the configuration file
-    the rule :mod:`prepare_network`.
+!!! tip
+    The rule `prepare_elec_networks` runs
+    for all `scenario` s in the configuration file
+    the rule [prepare_network][].
 """
 
 import logging
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index ad83a9b877..1f84f038b4 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -730,16 +730,15 @@ def add_co2_tracking(
         'CO2 storage tank' with 'capital_cost' column
     options : dict
         Configuration options containing at least:
-        - regional_co2_sequestration_potential: dict with keys
-            - enable: bool
-            - max_size: float
-            - years_of_storage: float
+        - regional_co2_sequestration_potential : dict
+            Dict with keys ``enable`` (bool), ``max_size`` (float),
+            ``years_of_storage`` (float).
         - co2_sequestration_cost: float
         - co2_sequestration_lifetime: float
         - co2_vent: bool
     sequestration_potential_file : str, optional
         Path to CSV file containing regional CO2 sequestration potentials.
-        Required if options['regional_co2_sequestration_potential']['enable'] is True.
+        Required if ``options["regional_co2_sequestration_potential"]["enable"]`` is True.
     co2_price : float, optional
         CO2 price that needs to be paid for emitting into the atmosphere and which is
         gained by removing from the atmosphere.
@@ -1425,8 +1424,6 @@ def add_ammonia(
     cf_industry : dict
         Industry-specific conversion factors including
         'MWh_NH3_per_MWh_H2_cracker' for ammonia cracking efficiency
-    logger : logging.Logger
-        Logger object for output messages
 
     Returns
     -------
@@ -1796,8 +1793,6 @@ def add_h2_gas_infrastructure(
         - SMR : bool
         - min_part_load_methanation : float
         - cc_fraction : float
-    logger : logging.Logger, optional
-        Logger for output messages. If None, no logging is performed.
 
     Returns
     -------
@@ -2793,8 +2788,20 @@ def add_heat(
         Path to NetCDF file containing direct heat source utilisation profiles
     hourly_heat_demand_total_file : str
         Path to CSV file containing hourly heat demand data
-    ptes_supplemental_heating_required_file: str
-        Path to CSV file indicating when supplemental heating for thermal energy storage (TES) is needed
+    ptes_e_max_pu_file : str
+        Path to CSV file containing pit thermal energy storage max energy per unit profiles.
+    ptes_direct_utilisation_profile : str
+        Path to file containing pit thermal energy storage direct utilisation profiles.
+    ates_e_nom_max : str
+        Path to file containing aquifer thermal energy storage nominal max energy.
+    ates_capex_as_fraction_of_geothermal_heat_source : float
+        ATES capital cost as fraction of geothermal heat source cost.
+    ates_recovery_factor : float
+        ATES recovery factor.
+    enable_ates : bool
+        Whether to enable aquifer thermal energy storage.
+    ates_marginal_cost_charger : float
+        Marginal cost for ATES charger.
     district_heat_share_file : str
         Path to CSV file containing district heating share information
     solar_thermal_total_file : str
@@ -4520,8 +4527,6 @@ def add_industry(
         Industry-specific configuration parameters
     investment_year : int
         Year for which investment costs should be considered
-    HeatSystem : Enum
-        Enumeration defining different heat system types
 
     Returns
     -------
diff --git a/scripts/process_cost_data.py b/scripts/process_cost_data.py
index 6bcd9f368c..08cf1bbaa4 100644
--- a/scripts/process_cost_data.py
+++ b/scripts/process_cost_data.py
@@ -16,13 +16,13 @@
 Inputs
 ------
 
-- ``resources/costs_{planning_horizons}.csv``: Default cost data for specified planning horizon
-- (by default) ``data/custom_costs.csv``: Custom cost modifications (can be configured with `costs:custom_costs:file`
+- `resources/costs_{planning_horizons}.csv`: Default cost data for specified planning horizon
+- (by default) `data/custom_costs.csv`: Custom cost modifications (can be configured with `costs:custom_costs:file`
 
 Outputs
 -------
 
-- ``resources/costs_{planning_horizons}_processed.csv``: Prepared cost data with custom modifications applied
+- `resources/costs_{planning_horizons}_processed.csv`: Prepared cost data with custom modifications applied
 """
 
 import logging
diff --git a/scripts/retrieve_seawater_temperature.py b/scripts/retrieve_seawater_temperature.py
index 84646fd153..b99542fde2 100644
--- a/scripts/retrieve_seawater_temperature.py
+++ b/scripts/retrieve_seawater_temperature.py
@@ -14,10 +14,10 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    # No specific configuration required
-    # Uses year wildcard from Snakemake rule
+```yaml
+# No specific configuration required
+# Uses year wildcard from Snakemake rule
+```
 
 Inputs
 ------
diff --git a/scripts/simplify_network.py b/scripts/simplify_network.py
index 6ba67f0700..ba42f597e4 100644
--- a/scripts/simplify_network.py
+++ b/scripts/simplify_network.py
@@ -11,32 +11,29 @@
 Outputs
 -------
 
-- ``resources/regions_onshore_base.geojson``:
+- `resources/regions_onshore_base.geojson`:
 
-    .. image:: img/regions_onshore_base_s.png
-            :scale: 33 %
+    ![](img/regions_onshore_base_s.png)
 
-- ``resources/regions_offshore_base.geojson``:
+- `resources/regions_offshore_base.geojson`:
 
-    .. image:: img/regions_offshore_base_s  .png
-            :scale: 33 %
+    ![](img/regions_offshore_base_s.png)
 
-- ``resources/busmap_base_s.csv``: Mapping of buses from ``networks/base.nc`` to ``networks/base_s.nc``;
-- ``networks/base.nc``:
+- `resources/busmap_base_s.csv`: Mapping of buses from `networks/base.nc` to `networks/base_s.nc`;
+- `networks/base.nc`:
 
-    .. image:: img/base_s.png
-        :scale: 33 %
+    ![](img/base_s.png)
 
 Description
 -----------
 
-The rule :mod:`simplify_network` does up to three things:
+The rule [simplify_network][] does up to three things:
 
-1. Create an equivalent transmission network in which all voltage levels are mapped to the 380 kV level by the function ``simplify_network(...)``.
+1. Create an equivalent transmission network in which all voltage levels are mapped to the 380 kV level by the function `simplify_network(...)`.
 
-2. DC only sub-networks that are connected at only two buses to the AC network are reduced to a single representative link in the function ``simplify_links(...)``.
+2. DC only sub-networks that are connected at only two buses to the AC network are reduced to a single representative link in the function `simplify_links(...)`.
 
-3. Stub lines and links, i.e. dead-ends of the network, are sequentially removed from the network in the function ``remove_stubs(...)`` and ``remove_stubs_within_admin(...)``.
+3. Stub lines and links, i.e. dead-ends of the network, are sequentially removed from the network in the function `remove_stubs(...)` and `remove_stubs_within_admin(...)`.
 """
 
 import logging
@@ -340,10 +337,14 @@ def find_closest_bus(n, x, y, tol=2000):
 
     Parameters
     ----------
-        n (pypsa.Network): The network object.
-        x (float): The x-coordinate (longitude) of the target location.
-        y (float): The y-coordinate (latitude) of the target location.
-        tol (float): The distance tolerance in meters. Default is 2000 meters.
+    n : pypsa.Network
+        The network object.
+    x : float
+        The x-coordinate (longitude) of the target location.
+    y : float
+        The y-coordinate (latitude) of the target location.
+    tol : float
+        The distance tolerance in meters. Default is 2000 meters.
 
     Returns
     -------
@@ -380,7 +381,8 @@ def remove_converters(n: pypsa.Network) -> pypsa.Network:
 
     Parameters
     ----------
-        n (pypsa.Network): The network object.
+    n : pypsa.Network
+        The network object.
 
     Returns
     -------
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 4b6429b47c..5d3b3fb8d7 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -14,16 +14,14 @@
 Total annual system costs are minimised with PyPSA. The full formulation of the
 linear optimal power flow (plus investment planning
 is provided in the
-`documentation of PyPSA <https://pypsa.readthedocs.io/en/latest/optimal_power_flow.html#linear-optimal-power-flow>`_.
+[documentation of PyPSA](https://pypsa.readthedocs.io/en/latest/optimal_power_flow.html#linear-optimal-power-flow).
 
-The optimization is based on the :func:`network.optimize` function.
-Additionally, some extra constraints specified in :mod:`solve_network` are added.
+The optimization is based on the `network.optimize` function.
+Additionally, some extra constraints specified in [solve_network][] are added.
 
-.. note::
-
-    The rules ``solve_elec_networks`` and ``solve_sector_networks`` run
-    the workflow for all scenarios in the configuration file (``scenario:``)
-    based on the rule :mod:`solve_network`.
+**Note:** The rules `solve_elec_networks` and `solve_sector_networks` run
+    the workflow for all scenarios in the configuration file (`scenario:`)
+    based on the rule [solve_network][].
 """
 
 import importlib
@@ -793,8 +791,10 @@ def add_SAFE_constraints(n, config):
 
     Parameters
     ----------
-        n : pypsa.Network
-        config : dict
+    n : pypsa.Network
+        The PyPSA network instance.
+    config : dict
+        Configuration dictionary.
 
     Example
     -------
@@ -829,12 +829,15 @@ def add_operational_reserve_margin(n, sns, config):
 
     Parameters
     ----------
-        n : pypsa.Network
-        sns: pd.DatetimeIndex
-        config : dict
+    n : pypsa.Network
+        The PyPSA network instance.
+    sns : pd.DatetimeIndex
+        Snapshots for the simulation.
+    config : dict
+        Configuration dictionary.
 
-    Example:
-    --------
+    Example
+    -------
     config.yaml requires to specify operational_reserve:
     operational_reserve: # like https://genxproject.github.io/GenX/dev/core/#Reserves
         activate: true
@@ -1233,8 +1236,10 @@ def extra_functionality(
     snapshots : pd.DatetimeIndex
         Simulation timesteps
     planning_horizons : str, optional
-        The current planning horizon year or None in perfect foresight
+        The current planning horizon year or None in perfect foresight.
 
+    Notes
+    -----
     Collects supplementary constraints which will be passed to
     ``pypsa.optimization.optimize``.
 
diff --git a/scripts/solve_operations_network.py b/scripts/solve_operations_network.py
index a65f9cd8ca..e01481aa8b 100644
--- a/scripts/solve_operations_network.py
+++ b/scripts/solve_operations_network.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: MIT
 """
 Solves linear optimal dispatch in hourly resolution using the capacities of
-previous capacity expansion in rule :mod:`solve_network`.
+previous capacity expansion in rule [solve_network][].
 """
 
 import logging
diff --git a/scripts/time_aggregation.py b/scripts/time_aggregation.py
index 10536f7140..9070f78c13 100644
--- a/scripts/time_aggregation.py
+++ b/scripts/time_aggregation.py
@@ -9,7 +9,7 @@
 Computes a time aggregation scheme for the given network, in the form of a CSV
 file with the snapshot weightings, indexed by the new subset of snapshots. This
 rule only computes said aggregation scheme; aggregation of time-varying network
-data is done in ``prepare_sector_network.py``.
+data is done in `prepare_sector_network.py`.
 """
 
 import logging

From d4f93225d1a62de879b5d88bb77072a58e1dc530 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Fri, 5 Jun 2026 11:14:26 +0200
Subject: [PATCH 067/105] chore(deps): bump prefix-dev/setup-pixi (#2177)

Bumps the github-actions group with 1 update in the / directory: [prefix-dev/setup-pixi](https://github.com/prefix-dev/setup-pixi).


Updates `prefix-dev/setup-pixi` from 0.9.5 to 0.9.6
- [Release notes](https://github.com/prefix-dev/setup-pixi/releases)
- [Commits](https://github.com/prefix-dev/setup-pixi/compare/v0.9.5...v0.9.6)

---
updated-dependencies:
- dependency-name: prefix-dev/setup-pixi
  dependency-version: 0.9.6
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/release.yaml         | 2 +-
 .github/workflows/test.yaml            | 4 ++--
 .github/workflows/update-lockfile.yaml | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 56c68559a5..9447ffcba6 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -63,7 +63,7 @@ jobs:
         token: ${{ steps.generate-token.outputs.token }}
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.5
+      uses: prefix-dev/setup-pixi@v0.9.6
       with:
         pixi-version: v0.68.1
         cache: true
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 6678939898..82002387e9 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -30,7 +30,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.5
+      uses: prefix-dev/setup-pixi@v0.9.6
       with:
         pixi-version: v0.68.1
         cache: true
@@ -87,7 +87,7 @@ jobs:
 
     - name: Setup Pixi
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
-      uses: prefix-dev/setup-pixi@v0.9.5
+      uses: prefix-dev/setup-pixi@v0.9.6
       with:
         pixi-version: v0.68.1
         cache: true
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 29029378bf..84d8c2e12b 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -16,7 +16,7 @@ jobs:
     - uses: actions/checkout@v6
 
     - name: Setup Pixi
-      uses: prefix-dev/setup-pixi@v0.9.5
+      uses: prefix-dev/setup-pixi@v0.9.6
       with:
         pixi-version: v0.68.1
 

From ee729fe68e72ab3eb150af5e258f0b9db2bb8313 Mon Sep 17 00:00:00 2001
From: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>
Date: Fri, 5 Jun 2026 15:57:20 +0100
Subject: [PATCH 068/105] Feat: SBOM vulnerability scan (#2164)

* Add vulnerability scanning CI/CD workflows

- Uploads pixi default deps to github dependency list
- Uploads identified vulnerabilities to codeQL vulnerabilities list
- Identifies vulnerabilities on updates to pixi.lock
- Move unnecessary deps from `default` to `dev` env (jupyter introduces `npm` `ip` package vulnerability `cve-2024-29415`).

Assisted-by: Claude:Sonnet 4.6

* Update release notes

* Update github action for commenting

* Use latest action versions

* Revert to better maintained peter-evans action

* Apply suggestions from code review

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
Co-authored-by: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>

* Post-merge fix; create separate fork job

* Doc update

* Update lockfile

* Report vulnerability diff in PRs, not absolute

* consolidate workflows

* cleaner job names

* fix: point alerts to correct path

* add workflow_dispatch

* handle diff on fork prs

* Separate scan and fork report

* Rename job

* Rename output artifact directory

* fix: merge fork PR diff into scan job

* update lock files

---------

Co-authored-by: Lukas Trippe <lkstrp@pm.me>
---
 .github/workflows/security-scan.yaml   |   99 +
 .github/workflows/test.yaml            |    2 +-
 .github/workflows/update-lockfile.yaml |    2 +
 doc/contributing.md                    |    4 +-
 doc/release_notes.md                   |    5 +
 envs/default_linux-64.pin.txt          |  261 +-
 envs/default_osx-64.pin.txt            |  140 +-
 envs/default_osx-arm64.pin.txt         |  140 +-
 envs/default_win-64.pin.txt            |  147 +-
 envs/environment.yaml                  |    4 -
 pixi.lock                              | 4861 ++++++++++++++++++++++--
 pixi.toml                              |   13 +-
 12 files changed, 4872 insertions(+), 806 deletions(-)
 create mode 100644 .github/workflows/security-scan.yaml

diff --git a/.github/workflows/security-scan.yaml b/.github/workflows/security-scan.yaml
new file mode 100644
index 0000000000..d4763320ab
--- /dev/null
+++ b/.github/workflows/security-scan.yaml
@@ -0,0 +1,99 @@
+name: Security scan
+on:
+  push:
+    branches: [master]
+    paths: [pixi.lock]
+  pull_request:
+    branches: [master]
+    paths: [pixi.lock]
+  schedule:
+  - cron: "0 6 * * *"
+  workflow_dispatch:
+
+jobs:
+  scan:
+    name: SBOM and vulnerability scan
+    runs-on: ubuntu-latest
+    permissions:
+      security-events: write
+      contents: write   # required by anchore/sbom-action dependency-snapshot upload
+      actions: read     # required by dawidd6/action-download-artifact on fork PRs
+    defaults:
+      run:
+        shell: bash -l {0}
+    steps:
+    - uses: actions/checkout@v6
+    - uses: prefix-dev/setup-pixi@v0.9.5
+      with:
+        pixi-version: v0.68.1
+
+    - name: Generate SBOM # (master only)
+      if: github.ref == 'refs/heads/master'
+      uses: anchore/sbom-action@v0.24.0
+      with:
+        path: ".pixi/envs/default"
+        output-file: sbom.spdx.json
+        dependency-snapshot: true
+
+    - name: Vulnerability Scan
+      id: scan
+      uses: anchore/scan-action@v7.4.0
+      with:
+        path: ".pixi/envs/default"
+        fail-build: false
+        severity-cutoff: high
+        add-cpes-if-none: true
+        output-format: sarif
+
+    # Point alerts to pixi.lock so githubs path scoped PR check registers it
+    - name: Rewrite SARIF locations to pixi.lock
+      run: |
+        jq '.runs[].results[].locations[].physicalLocation.artifactLocation.uri = "pixi.lock"' \
+          "${{ steps.scan.outputs.sarif }}" > rewritten.sarif
+        mv rewritten.sarif "${{ steps.scan.outputs.sarif }}"
+
+    - name: Upload SARIF
+      if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository
+      uses: github/codeql-action/upload-sarif@v4
+      with:
+        sarif_file: ${{ steps.scan.outputs.sarif }}
+        category: pixi-vuln-scan
+
+    # Fork PRs cant upload SARIF (no access to token), so code scannings native diff
+    # does not apply. This builds our own diff from a master-uploaded SARIF artifact instead.
+    - name: Upload SARIF as artifact
+      if: github.ref == 'refs/heads/master'
+      uses: actions/upload-artifact@v7
+      with:
+        name: master-sarif
+        path: ${{ steps.scan.outputs.sarif }}
+        retention-days: 30
+
+    # Fork PRs cant upload SARIF to code scanning (no token write access), so
+    # diff against the master baseline artifact here instead
+    - name: Download master baseline (fork PRs only)
+      if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
+      uses: dawidd6/action-download-artifact@v11
+      with:
+        workflow: security-scan.yaml
+        name: master-sarif
+        branch: master
+        if_no_artifact_found: fail
+        path: master-baseline
+
+    - name: Fail on new CVEs (fork PRs only)
+      if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
+      env:
+        SARIF_PATH: ${{ steps.scan.outputs.sarif }}
+      run: |
+        [ -s master-baseline/output ] || { echo "::error::baseline SARIF missing"; exit 2; }
+        [ -s "$SARIF_PATH" ]          || { echo "::error::PR SARIF missing"; exit 2; }
+        new=$(comm -23 \
+          <(jq -r '.runs[].results[] | select(.level == "error") | .ruleId' "$SARIF_PATH"          | sort -u) \
+          <(jq -r '.runs[].results[] | select(.level == "error") | .ruleId' master-baseline/output | sort -u))
+        if [ -n "$new" ]; then
+          echo "::error::New high+ CVEs vs master:"
+          printf '%s\n' "$new"
+          exit 1
+        fi
+        echo "No new high+ CVEs vs master."
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 82002387e9..b3401c5aa6 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -120,7 +120,7 @@ jobs:
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       # check for undefined variables to reuse functions across scripts
       run: |
-        pixi run pylint --disable=all --enable=E0601,E0606 --output-format=parseable scripts/add_* scripts/prepare_* scripts/solve_*
+        pixi run -e dev pylint --disable=all --enable=E0601,E0606 --output-format=parseable scripts/add_* scripts/prepare_* scripts/solve_*
 
     - name: Run snakemake test workflows
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 84d8c2e12b..9b9e17b07d 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -9,6 +9,8 @@ jobs:
     if: ${{ github.ref == 'refs/heads/master' }}
     name: Update lockfiles
     runs-on: ubuntu-latest
+    permissions:
+      contents: write
     defaults:
       run:
         shell: bash -l {0}
diff --git a/doc/contributing.md b/doc/contributing.md
index 27fd9afc29..495f216831 100644
--- a/doc/contributing.md
+++ b/doc/contributing.md
@@ -23,8 +23,8 @@ use [pre-commit](https://pre-commit.com/index.html):
 
 1. Install [pixi](https://pixi.sh/latest/).
 1. Usage:
-    * To automatically activate `pre-commit` on every `git commit`: Run `pre-commit install`
-    * To manually run it: `pre-commit run --all`
+    * To automatically activate `pre-commit` on every `git commit`: Run `pixi run -e dev pre-commit install`
+    * To manually run it: `pixi run -e dev pre-commit run --all`
 
 !!! note
     Note that installing `pre-commit` locally is not strictly necessary. If you create a Pull Request the `pre-commit CI` will be triggered automatically and take care of the checks.
diff --git a/doc/release_notes.md b/doc/release_notes.md
index 38bf9ad417..68cff1c14d 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -5,6 +5,11 @@
 
 <!-- Upcoming Release -->
 <!-- ================= -->
+* Security: SBOM security scan included in CI.
+
+* Security: Development dependencies (pre-commit, pylint, jupyter, etc.) moved to `dev` `pixi` environment.
+  Removed 62 CVEs from `default` environment.
+
 * Fix: `atlite.plot_availability_matrix` config option for `determine_availability_matrix` and `determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently ([#2173](https://github.com/PyPSA/pypsa-eur/pull/2173)).
 
 * Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 00331214e6..e0986cbc7a 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -3,26 +3,27 @@
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
-https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda#faac990cb7aedc7f3a2224f2c9b0c26c
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda#a9f577daf3de00bca7c3c76c0ecbd1de
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda#57736f29cc2b0ec0b6c2952d3f101b6a
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda#0aa00f03f9e39fb9876085dee11a85d4
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
+https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda#e18ad67cf881dcadee8b8d9e2f8e5f73
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.2-h35e630c_0.conda#da1b85b6a87e141f5140bb9924cecab0
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_19.conda#331ee9b72b9dff570d56b1302c5ab37d
-https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 96016b49db..f11eead2cd 100644
--- a/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 204af1d857..f7a3c6b654 100644
--- a/envs/default_osx-arm64.pin.txt
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@@ -543,6 +482,7 @@ https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda#c13
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 6ec0a54880..db0405f4d9 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -15,12 +15,13 @@ https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#9430
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diff --git a/envs/environment.yaml b/envs/environment.yaml
index aaadba4458..2603fadf4d 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -24,7 +24,6 @@ dependencies:
 - highspy >=1.12.0
 - ipython >=9.7.0
 - jpype1 >=1.6.0
-- jupyter >=1.1.1
 - libgdal-netcdf >=3.10.3
 - linopy >=0.6.1
 - lxml >=6.0.2
@@ -39,9 +38,7 @@ dependencies:
 - powerplantmatching >=0.5.15
 - pydantic >=2
 - python-dotenv >=1.0
-- pre-commit >=4.3.0
 - proj >=9.6.2
-- pylint >=4.0.2
 - pydeck >0.6
 - pypsa >=0.35.2
 - pyscipopt >=5.6.0
@@ -52,7 +49,6 @@ dependencies:
 - rasterio >=1.4.3
 - rasterstats >=0.10.3
 - rioxarray >=0.20.0
-- ruff >=0.14.3
 - ruamel.yaml >=0.18.0
 - scipy >=1.16.3
 - seaborn >=0.13.2
diff --git a/pixi.lock b/pixi.lock
index a999cf182b..83012e9495 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -31,8 +31,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.5-py312h5d8c7f2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.4-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
@@ -78,7 +76,6 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py312h4c3975b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.20-py312h8285ef7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
@@ -204,7 +201,6 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-h46dd2a8_20.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libscotch-7.0.4-h2fe6a88_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.21-h280c20c_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.1.0-gpl_h2abfd87_119.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-311-py313h40c08fc_2.conda
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+  - python_abi 3.13.* *_cp313
+  license: PSF-2.0
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-27.1.0-py312h343a6d4_3.conda
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+  - _python_abi3_support 1.*
+  - cpython >=3.12
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+  license_family: BSD
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@@ -32277,6 +36330,19 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-2026.5.1-py313ha9ea572_0.conda
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/win-64/ruamel.yaml.clib-0.2.15-py313h5fd188c_1.conda
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@@ -32303,6 +36369,19 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.14-hd7ccaa8_0.conda
+  noarch: python
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  license: MIT
+  license_family: MIT
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@@ -32394,6 +36473,25 @@ packages:
   license_family: BSD
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   timestamp: 1771881500709
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.1-py313he51e9a2_1.conda
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+  - libcblas >=3.9.0,<4.0a0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
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@@ -32466,6 +36564,21 @@ packages:
   license_family: MIT
   size: 3811152
   timestamp: 1775241422521
+- conda: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.50-py313h5fd188c_0.conda
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+  - typing-extensions >=4.6.0
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+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  size: 3813570
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 - conda: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.53.1-hdb435a2_0.conda
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@@ -32603,6 +36716,19 @@ packages:
   license_family: Apache
   size: 883689
   timestamp: 1774358224157
+- conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.5.6-py313h5ea7bf4_0.conda
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+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  size: 889860
+  timestamp: 1779916063710
 - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
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@@ -32625,6 +36751,19 @@ packages:
   license_family: BSD
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   timestamp: 1773286950561
+- conda: https://conda.anaconda.org/conda-forge/win-64/ujson-5.12.1-py313h927ade5_1.conda
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+  - vc >=14.3,<15
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+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
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@@ -32674,6 +36813,17 @@ packages:
   license_family: BSD
   size: 19989
   timestamp: 1778688080106
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_38.conda
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@@ -32686,6 +36836,18 @@ packages:
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   size: 683790
   timestamp: 1778688078434
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_38.conda
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+  - vcomp14 14.51.36231 h1b9f54f_38
+  constrains:
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+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 740997
+  timestamp: 1780005875753
 - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_36.conda
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   timestamp: 1778688058077
+- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_38.conda
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+  md5: 63ee70d69d7540e821940dac5d4d9ba2
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+  constrains:
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+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 123561
+  timestamp: 1780005858779
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_36.conda
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@@ -32706,6 +36879,15 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.51.36231-h84cd919_38.conda
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@@ -32941,6 +37123,19 @@ packages:
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+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
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+  - krb5 >=1.22.2,<1.23.0a0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
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diff --git a/pixi.toml b/pixi.toml
index 7883a81739..6d9bf24f08 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -66,7 +66,6 @@ gurobi = ">=12.0.3"
 highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
-jupyter = ">=1.1.1"
 libgdal-netcdf = ">=3.10.3"
 linopy = ">=0.6.1"
 lxml = ">=6.0.2"
@@ -81,9 +80,7 @@ plotly = ">=6.4.0"
 powerplantmatching = ">=0.5.15"
 pydantic = ">=2"
 python-dotenv = ">=1.0"
-pre-commit = ">=4.3.0"
 proj = ">=9.6.2"
-pylint = ">=4.0.2"
 pydeck = ">0.6"  # pypsa fails to import with pydeck <0.6, lower bound was only added from pypsa 1.0.6
 pypsa = ">=0.35.2"
 pyscipopt = ">=5.6.0"
@@ -94,7 +91,6 @@ pyxlsb = ">=1.0.10"
 rasterio = ">=1.4.3"
 rasterstats = ">=0.10.3"
 rioxarray = ">=0.20.0"
-ruff = ">=0.14.3"
 "ruamel.yaml" = ">=0.18.0"
 scipy = ">=1.16.3"
 seaborn = ">=0.13.2"
@@ -119,6 +115,12 @@ snakemake-logger-plugin-snkmt = "==0.1.6" # For better pypsa-app integration
 [target.unix.dependencies]
 snakemake-executor-plugin-slurm = ">=1.9.2"
 
+[feature.dev.dependencies]
+pre-commit = ">=4.3.0"
+pylint = ">=4.0.2"
+ruff = ">=0.14.3"
+jupyter = ">=1.1.1"
+
 [feature.doc.tasks.build-docs]
 cmd = "mkdocs build -d {{ dir }}/html"
 args = ["dir"]
@@ -183,4 +185,5 @@ pytest = ">=8.4.2"
 
 [environments]
 doc = { features = ["doc"], no-default-feature = true }
-test = ["test"]
+test = ["test", "dev"]
+dev = ["dev"]

From 2df4277d07d27d9c421f499c77b7c31e61ea2f89 Mon Sep 17 00:00:00 2001
From: "pypsa[bot]" <181215446+pypsa[bot]@users.noreply.github.com>
Date: Fri, 5 Jun 2026 14:57:46 +0000
Subject: [PATCH 069/105] [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`
---
 envs/default_linux-64.pin.txt  | 211 +++++++++++++++------------------
 envs/default_osx-64.pin.txt    |  87 ++++++--------
 envs/default_osx-arm64.pin.txt |  87 ++++++--------
 envs/default_win-64.pin.txt    |  97 +++++++--------
 4 files changed, 210 insertions(+), 272 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index e0986cbc7a..93962cecea 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -3,27 +3,26 @@
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
-https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda#faac990cb7aedc7f3a2224f2c9b0c26c
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda#a9f577daf3de00bca7c3c76c0ecbd1de
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda#0aa00f03f9e39fb9876085dee11a85d4
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda#57736f29cc2b0ec0b6c2952d3f101b6a
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
-https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda#e18ad67cf881dcadee8b8d9e2f8e5f73
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.2-h35e630c_0.conda#da1b85b6a87e141f5140bb9924cecab0
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_19.conda#331ee9b72b9dff570d56b1302c5ab37d
+https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42-h5347b49_0.conda#38ffe67b78c9d4de527be8315e5ada2c
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
-https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda#c80d8a3b84358cb967fa81e7075fbc8a
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.0-hf4e2dac_0.conda#810d83373448da85c3f673fbcb7ad3a3
-https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.1-h0c1763c_0.conda#7dc38adcbf71e6b38748e919e16e0dce
+https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda#b88d90cad08e6bc8ad540cb310a761fb
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda#49f570f3bc4c874a06ea69b7225753af
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.0-hecca717_0.conda#a3b390520c563d78cc58974de95a03e5
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda#18335a698559cdbcd86150a48bf54ba6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
-https://conda.anaconda.org/conda-forge/linux-64/python-3.13.13-h6add32d_100_cp313.conda#05051be49267378d2fcd12931e319ac3
+https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda#7eccb41177e15cc672e1babe9056018e
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
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 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3efd25ac4d74b1584d2f7a57195ddf1
@@ -38,22 +37,22 @@ https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.4-py312h33ff503_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_0.conda#3e38daeb1fb05a95656ff5af089d2e4c
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda#8e194e7b992f99a5015edbd4ebd38efd
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
-https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py313h16d504d_1.conda#d43a148434f123b3e060780d84a05ddc
-https://conda.anaconda.org/conda-forge/linux-64/pyomo-6.10.0-py313h7033f15_0.conda#26fe2bb1244021a8fa4d0ba0f612eb6c
-https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda#f8a489f43a1342219a3a4d69cecc6b25
-https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2026.1-pyhd8ed1ab_0.conda#d8d30923ccee7525704599efd722aa16
+https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py312h3226591_1.conda#38decbeae260892040709cafc0514162
+https://conda.anaconda.org/conda-forge/linux-64/pyomo-6.10.0-py312h1289d80_0.conda#cdfe979072e0821d60be587e85ee1c35
+https://conda.anaconda.org/conda-forge/noarch/pytz-2026.2-pyhcf101f3_0.conda#03cb60f505ad3ada0a95277af5faeb1a
+https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2026.2-pyhd8ed1ab_0.conda#f6ad7450fc21e00ecc23812baed6d2e4
 https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda#3339e3b65d58accf4ca4fb8748ab16b3
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-https://conda.anaconda.org/conda-forge/linux-64/pandas-2.3.3-py313h08cd8bf_2.conda#8a69ea71fdd37bfe42a28f0967dbb75a
+https://conda.anaconda.org/conda-forge/linux-64/pandas-2.3.3-py312hf79963d_1.conda#e597b3e812d9613f659b7d87ad252d18
 https://conda.anaconda.org/conda-forge/noarch/networkx-3.6.1-pyhcf101f3_0.conda#a2c1eeadae7a309daed9d62c96012a2b
-https://conda.anaconda.org/conda-forge/linux-64/highspy-1.14.0-np2py313h73dcb5b_0.conda#9561f7539c398d804d98204ef7eb0be0
-https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.1-pyhd8ed1ab_0.conda#ed5f5e0cbc50f05631813b0d48021de1
+https://conda.anaconda.org/conda-forge/linux-64/highspy-1.14.0-np2py312h0f77346_0.conda#3c2773b3530d49a2ed65ee8e4b477724
+https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda#2b661fd7a718757b2e91bbcac81deb48
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-https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda#d0616e7935acab407d1543b28c446f6f
-https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_1.conda#710d4663806d0f72b2fb414e936223b5
+https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda#648ee28dcd4e07a1940a17da62eccd40
+https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py312h5253ce2_1.conda#02738ff9855946075cbd1b5274399a41
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-https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.3-py313h07c4f96_1.conda#c2662497e9a9ff2153753682f53989c9
+https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.3-py312h4c3975b_1.conda#8af3faf88325836e46c6cb79828e058c
 https://conda.anaconda.org/conda-forge/noarch/throttler-1.2.2-pyhd8ed1ab_0.conda#6fc48bef3b400c82abaee323a9d4e290
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 https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda#58335b26c38bf4a20f399384c33cbcf9
@@ -75,7 +74,7 @@ https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.7-pyhd8ed1a
 https://conda.anaconda.org/conda-forge/noarch/certifi-2026.4.22-pyhd8ed1ab_0.conda#929471569c93acefb30282a22060dcd5
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-https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py313heb322e3_0.conda#9702a147e144f2e197c7dc5f0b4d059e
+https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda#ab9e1a0591be902a1707159b58460453
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@@ -90,17 +89,17 @@ https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.9-pyh29332c3_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.3-py313h3dea7bd_1.conda#f256753e840c3cd3766488c9437a8f8b
+https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.3-py312h8a5da7c_1.conda#15878599a87992e44c059731771591cb
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+https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.0-py312h8285ef7_0.conda#e6f31d10ae846adb7d3881d30df8db82
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+https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.46.4-py312h868fb18_0.conda#dfb9a57535eb8c35c6744da7043063f0
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+https://conda.anaconda.org/conda-forge/noarch/pydantic-2.13.4-pyhcf101f3_0.conda#729843edafc0899b3348bd3f19525b9d
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@@ -119,27 +118,27 @@ https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_1.c
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-https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.2-py313h54dd161_0.conda#25fe6e02c2083497b3239e21b49d8093
-https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_1.conda#019a7385be9af33791c989871317e1ed
+https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py312hd0750ca_3.conda#1ade2915cfabbcb8f07e7b4387f4d49b
+https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.2-py312h5253ce2_0.conda#dd94c506b119130aef5a9382aed648e7
+https://conda.anaconda.org/conda-forge/noarch/traitlets-5.15.0-pyhcf101f3_0.conda#4bada6a6d908a27262af8ebddf4f7492
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index f11eead2cd..7e96c1636d 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index f7a3c6b654..4b87864803 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index db0405f4d9..04f11166fc 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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-https://conda.anaconda.org/conda-forge/win-64/astroid-4.0.4-py313hfa70ccb_0.conda#0bde1b76c96e6af8ae0f71a466dda5b4
-https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda#7d9916ed19ecda71f0b00963365252a7
 https://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2#a2e1ba950c0ec23e3ea0b915743a37e0
 https://conda.anaconda.org/conda-forge/noarch/url-normalize-3.0.0-pyhd8ed1ab_0.conda#49b01263c5348a30838ba148a30126cf
 https://conda.anaconda.org/conda-forge/win-64/ujson-5.12.0-py313h927ade5_0.conda#9c214e74272ac575b735074891fb0130
@@ -368,7 +361,7 @@ https://conda.anaconda.org/conda-forge/win-64/libarrow-23.0.0-hfcfc620_2_cpu.con
 https://conda.anaconda.org/conda-forge/win-64/libarrow-compute-23.0.0-h2db994a_2_cpu.conda#af83df2f71f7ca552ee5ad0a31c9c9ef
 https://conda.anaconda.org/conda-forge/win-64/pyarrow-core-23.0.0-py313h5921983_0_cpu.conda#21e4e6043a16516491070395dcb716e1
 https://conda.anaconda.org/conda-forge/win-64/libevent-2.1.12-h3671451_1.conda#25efbd786caceef438be46da78a7b5ef
-https://conda.anaconda.org/conda-forge/win-64/libthrift-0.22.0-h23985f6_1.conda#556d49ad5c2ad553c2844cc570bb71c7
+https://conda.anaconda.org/conda-forge/win-64/libthrift-0.22.0-h2e43b2f_2.conda#42856184560e5cf901551fd414ad25c1
 https://conda.anaconda.org/conda-forge/win-64/libparquet-23.0.0-h7051d1f_2_cpu.conda#15dbe221357e3854b02ecc34f047cf40
 https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-23.0.0-h7d8d6a5_2_cpu.conda#88c1bf9589eaa3c7416c1f4706dd9312
 https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-23.0.0-h7d8d6a5_2_cpu.conda#b2031f0c71cbeec465a47fe988f726a6
@@ -389,20 +382,12 @@ https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.8.3-pyhd8ed1ab_0.conda
 https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.14.3-pyha770c72_0.conda#5267bef8efea4127aacd1f4e1f149b6e
 https://conda.anaconda.org/conda-forge/noarch/imf-reader-1.5.0-pyhc364b38_0.conda#10ed48920132137dd2f46f2dc218d524
 https://conda.anaconda.org/conda-forge/noarch/pydeflate-2.5.0-pyhc364b38_0.conda#328fcdd7991b7494dc780b16b831de62
-https://conda.anaconda.org/conda-forge/noarch/python-discovery-1.3.1-pyhcf101f3_0.conda#45ea5eceb1c2e35a08a834869837a090
-https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda#003b8ba0a94e2f1e117d0bd46aebc901
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.3.3-pyhcf101f3_0.conda#a678237f7d0db44f8a20a21f03844613
-https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.10.0-pyhd8ed1ab_0.conda#eb52d14a901e23c39e9e7b4a1a5c015f
-https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.1.0-py313hf069bd2_0.conda#bfa075d1cd7bf341b8189af9616ce537
-https://conda.anaconda.org/conda-forge/noarch/identify-2.6.19-pyhd8ed1ab_0.conda#84a3233b709a289a4ddd7a2fd27dd988
-https://conda.anaconda.org/conda-forge/noarch/cfgv-3.5.0-pyhd8ed1ab_0.conda#381bd45fb7aa032691f3063aff47e3a1
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.6.0-pyha770c72_0.conda#7859736b4f8ebe6c8481bf48d91c9a1e
 https://conda.anaconda.org/conda-forge/noarch/xlrd-2.0.2-pyhd8ed1ab_0.conda#91f5637b706492b9e418da1872fd61ce
 https://conda.anaconda.org/conda-forge/noarch/unidecode-1.4.0-pyhcf101f3_1.conda#53cb4b14ab0841e104e2bd11ee64b840
 https://conda.anaconda.org/conda-forge/noarch/pycountry-24.6.1-pyhd8ed1ab_0.conda#62ed8c560f1b5b8d74ed11e68e9ae223
 https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.1-pyhd8ed1ab_0.conda#43dd16b113cc7b244d923b630026ff4f
 https://conda.anaconda.org/conda-forge/noarch/geopy-2.4.1-pyhd8ed1ab_2.conda#40182a8d62a61d147ec7d3e4c5c36ac2
-https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda#f8a489f43a1342219a3a4d69cecc6b25
+https://conda.anaconda.org/conda-forge/noarch/pytz-2026.2-pyhcf101f3_0.conda#03cb60f505ad3ada0a95277af5faeb1a
 https://conda.anaconda.org/conda-forge/noarch/entsoe-py-0.8.0-pyhd8ed1ab_0.conda#0c06dd1da8af688335732bb47dc51dc1
 https://conda.anaconda.org/conda-forge/noarch/country_converter-1.3.2-pyhd8ed1ab_0.conda#193a9e54636d8d70781a3e56370f5502
 https://conda.anaconda.org/conda-forge/noarch/powerplantmatching-0.8.0-pyhd8ed1ab_0.conda#3c806a133fb9e59dca249c5a00c2ab3e
@@ -433,20 +418,20 @@ https://conda.anaconda.org/conda-forge/win-64/lxml-6.1.0-py313h1af1686_0.conda#7
 https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf5-3.12.2-h5260803_1.conda#150230ce593ad139e1ab1437954b81e2
 https://conda.anaconda.org/conda-forge/win-64/libgdal-hdf4-3.12.2-h5bd48a5_1.conda#861e471b9d7df1eed52ea9a25f227951
 https://conda.anaconda.org/conda-forge/win-64/libgdal-netcdf-3.12.2-h1c765f5_1.conda#300ec561b23a4018262b90995350061a
-https://conda.anaconda.org/conda-forge/win-64/jpype1-1.6.0-py313hf069bd2_1.conda#80013b2100a625d9886352f9d8d391bb
+https://conda.anaconda.org/conda-forge/win-64/jpype1-1.7.1-py313hfe59770_0.conda#656119e0ea089c012090424f267dab89
 https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_1.conda#3bfdfb8dbcdc4af1ae3f9a8eb3948f04
 https://conda.anaconda.org/conda-forge/noarch/executing-2.2.1-pyhd8ed1ab_0.conda#ff9efb7f7469aed3c4a8106ffa29593c
 https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda#9673a61a297b00016442e022d689faa6
 https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.3-pyhd8ed1ab_1.conda#b1b505328da7a6b246787df4b5a49fbc
-https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.6.0-pyhd8ed1ab_0.conda#c3197f8c0d5b955c904616b716aca093
+https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.7.0-pyhd8ed1ab_0.conda#eb9538b8e55069434a18547f43b96059
 https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.52-pyha770c72_0.conda#edb16f14d920fb3faf17f5ce582942d6
-https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.2.1-pyhd8ed1ab_0.conda#00e120ce3e40bad7bfc78861ce3c4a25
-https://conda.anaconda.org/conda-forge/noarch/parso-0.8.6-pyhcf101f3_0.conda#97c1ce2fffa1209e7afb432810ec6e12
+https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.2.2-pyhd8ed1ab_0.conda#9acc1c385be401d533ff70ef5b50dae6
+https://conda.anaconda.org/conda-forge/noarch/parso-0.8.7-pyhcf101f3_0.conda#39894c952938276405a1bd30e4ce2caf
 https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.2-pyhd8ed1ab_1.conda#a4f4c5dc9b80bc50e0d3dc4e6e8f1bd9
 https://conda.anaconda.org/conda-forge/noarch/ipython_pygments_lexers-1.1.1-pyhd8ed1ab_0.conda#bd80ba060603cc228d9d81c257093119
 https://conda.anaconda.org/conda-forge/noarch/decorator-5.2.1-pyhd8ed1ab_0.conda#9ce473d1d1be1cc3810856a48b3fab32
-https://conda.anaconda.org/conda-forge/noarch/ipython-9.12.0-pyhccfa634_0.conda#3734e3b6618ea6e04ad08678d8ed7a45
-https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.1-py313_0.conda#8fd66d01633a62436d3fc666e220440e
+https://conda.anaconda.org/conda-forge/noarch/ipython-9.13.0-pyhe2676ad_0.conda#5631ab99e902463d9dd4221e5b4eab6d
+https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py313_0.conda#c3c73feb63dc1411a37f5e4a7e3daab3
 https://conda.anaconda.org/conda-forge/win-64/fribidi-1.0.16-hfd05255_0.conda#c27bd87e70f970010c1c6db104b88b18
 https://conda.anaconda.org/conda-forge/win-64/pango-1.56.4-h13911b6_1.conda#1f1cf3772ba7d4eef989e4679ddf97f7
 https://conda.anaconda.org/conda-forge/win-64/xorg-libx11-1.8.13-hfa52320_0.conda#5a823e21e090f8bc43dbfba00cd2f0e2
@@ -466,7 +451,7 @@ https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.1.2-py313hf069bd2
 https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda#5498feb783ab29db6ca8845f68fa0f03
 https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.16.5-py313hc90dcd4_0.conda#4006d795b35200d0d6e28a1de84dfcc5
 https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda#c56a7fa5597ad78b62e1f5d21f7f8b8f
-https://conda.anaconda.org/conda-forge/noarch/zarr-3.1.6-pyhc364b38_0.conda#bf5ed37ec39d366c0bc7633e1590fbdf
+https://conda.anaconda.org/conda-forge/noarch/zarr-3.2.1-pyhc364b38_0.conda#b787cd1f01e24b161261438a5589df51
 https://conda.anaconda.org/conda-forge/noarch/semver-3.0.4-pyhcf101f3_1.conda#8e7be844ccb9706a999a337e056606ab
 https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda#77ae41598d63b453bb3c9052f4a14c4b
 https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2#576d629e47797577ab0f1b351297ef4a

From e6dd6deda84ab45d91099b31a476f149bff9055f Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 8 Jun 2026 09:45:13 +0200
Subject: [PATCH 070/105] chore(deps): bump the github-actions group with 2
 updates (#2188)

Bumps the github-actions group with 2 updates: [prefix-dev/setup-pixi](https://github.com/prefix-dev/setup-pixi) and [dawidd6/action-download-artifact](https://github.com/dawidd6/action-download-artifact).


Updates `prefix-dev/setup-pixi` from 0.9.5 to 0.9.6
- [Release notes](https://github.com/prefix-dev/setup-pixi/releases)
- [Commits](https://github.com/prefix-dev/setup-pixi/compare/v0.9.5...v0.9.6)

Updates `dawidd6/action-download-artifact` from 11 to 21
- [Release notes](https://github.com/dawidd6/action-download-artifact/releases)
- [Commits](https://github.com/dawidd6/action-download-artifact/compare/v11...v21)

---
updated-dependencies:
- dependency-name: prefix-dev/setup-pixi
  dependency-version: 0.9.6
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: github-actions
- dependency-name: dawidd6/action-download-artifact
  dependency-version: '21'
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/security-scan.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/security-scan.yaml b/.github/workflows/security-scan.yaml
index d4763320ab..910eb8eb7e 100644
--- a/.github/workflows/security-scan.yaml
+++ b/.github/workflows/security-scan.yaml
@@ -23,7 +23,7 @@ jobs:
         shell: bash -l {0}
     steps:
     - uses: actions/checkout@v6
-    - uses: prefix-dev/setup-pixi@v0.9.5
+    - uses: prefix-dev/setup-pixi@v0.9.6
       with:
         pixi-version: v0.68.1
 
@@ -73,7 +73,7 @@ jobs:
     # diff against the master baseline artifact here instead
     - name: Download master baseline (fork PRs only)
       if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
-      uses: dawidd6/action-download-artifact@v11
+      uses: dawidd6/action-download-artifact@v21
       with:
         workflow: security-scan.yaml
         name: master-sarif

From 8208868e9c91084680227441e93818862f2a7401 Mon Sep 17 00:00:00 2001
From: Bobby Xiong <36541459+bobbyxng@users.noreply.github.com>
Date: Mon, 8 Jun 2026 20:50:51 +0200
Subject: [PATCH 071/105] Fix DC junctions in simplify_network (#2147)

* Fixed simplify_network for meshed DC --> supernodes.

* Added release notes.

* Added allow_ac_dc_mix key.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Updated validator and schema.

* change to spatial mapping and removing AC carrier coercion

* simplify docstrings and pre-commit

* Remove redundant quick-fix/hot-fix on two OSM buses

* Removed  separator in favor of  to prevent errors when saving files with  in the name.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
---
 config/config.default.yaml                  |  1 +
 config/schema.default.json                  | 15 ++++
 config/test/config.clusters.yaml            |  2 +-
 doc/release_notes.md                        |  2 +
 scripts/cluster_network.py                  | 82 +++++++++++++++++++--
 scripts/lib/validation/config/clustering.py |  4 +
 scripts/simplify_network.py                 | 10 +--
 7 files changed, 101 insertions(+), 15 deletions(-)

diff --git a/config/config.default.yaml b/config/config.default.yaml
index cd940e1a55..eee27b2fb3 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -1110,6 +1110,7 @@ clustering:
     remove_stubs_across_borders: false
   cluster_network:
     algorithm: kmeans
+    allow_ac_dc_mixing_in_bus_clusters: false
     hac_features:
     - wnd100m
     - influx_direct
diff --git a/config/schema.default.json b/config/schema.default.json
index bed19a77ee..e03c0b0571 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -565,6 +565,11 @@
               ],
               "type": "string"
             },
+            "allow_ac_dc_mixing_in_bus_clusters": {
+              "default": false,
+              "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+              "type": "boolean"
+            },
             "hac_features": {
               "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
               "items": {
@@ -5961,6 +5966,11 @@
           ],
           "type": "string"
         },
+        "allow_ac_dc_mixing_in_bus_clusters": {
+          "default": false,
+          "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+          "type": "boolean"
+        },
         "hac_features": {
           "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
           "items": {
@@ -12033,6 +12043,11 @@
               ],
               "type": "string"
             },
+            "allow_ac_dc_mixing_in_bus_clusters": {
+              "default": false,
+              "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+              "type": "boolean"
+            },
             "hac_features": {
               "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
               "items": {
diff --git a/config/test/config.clusters.yaml b/config/test/config.clusters.yaml
index efc9cab92a..79e9c3dc6d 100644
--- a/config/test/config.clusters.yaml
+++ b/config/test/config.clusters.yaml
@@ -29,7 +29,7 @@ clustering:
   temporal:
     resolution_elec: 24h
   simplify_network:
-    remove_stubs: true
+    remove_stubs: false
     remove_stubs_across_borders: false
 
 solving:
diff --git a/doc/release_notes.md b/doc/release_notes.md
index 68cff1c14d..101ab4a150 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -10,6 +10,8 @@
 * Security: Development dependencies (pre-commit, pylint, jupyter, etc.) moved to `dev` `pixi` environment.
   Removed 62 CVEs from `default` environment.
 
+* Fix: Prevent over-aggressive HVDC simplification in `simplify_network` for branched/multi-terminal DC topologies (e.g. UK/Shetland edge cases). Supernode detection now only collapses true chain nodes (degree 2) and preserves DC junctions (degree 3+) so branches are not dropped ([#2147](https://github.com/PyPSA/pypsa-eur/pull/2147)).
+
 * Fix: `atlite.plot_availability_matrix` config option for `determine_availability_matrix` and `determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently ([#2173](https://github.com/PyPSA/pypsa-eur/pull/2173)).
 
 * Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
diff --git a/scripts/cluster_network.py b/scripts/cluster_network.py
index d961835729..3fcdd6a640 100644
--- a/scripts/cluster_network.py
+++ b/scripts/cluster_network.py
@@ -402,11 +402,6 @@ def clustering_for_n_clusters(
     bus_strategies.setdefault("substation_lv", lambda x: bool(x.sum()))
     bus_strategies.setdefault("substation_off", lambda x: bool(x.sum()))
 
-    # TODO Quick Fix for osm-prebuilt-version 0.6
-    for way_i in ["way/140248154", "way/975637991"]:
-        if way_i in n.buses.index:
-            n.buses.loc[way_i, "carrier"] = "AC"
-
     clustering = get_clustering_from_busmap(
         n,
         busmap,
@@ -418,6 +413,54 @@ def clustering_for_n_clusters(
     return clustering
 
 
+def apply_carrier_mixing_policy(
+    n: pypsa.Network, busmap: pd.Series, allow_ac_dc_mixing_in_bus_clusters: bool
+) -> pd.Series:
+    """
+    Handle AC/DC buses before clustering.
+
+    If ``allow_ac_dc_mixing_in_bus_clusters`` is True, mixed AC/DC clusters are
+    kept as-is. If it is False, buses in mixed clusters are split by appending
+    the carrier directly to the cluster label, for example ``clusterAC`` and
+    ``clusterDC``.
+
+    Parameters
+    ----------
+    n : pypsa.Network
+        Network providing bus carrier information.
+    busmap : pandas.Series
+        Mapping from bus name to cluster label.
+    allow_ac_dc_mixing_in_bus_clusters : bool
+        Whether mixed AC/DC clusters are allowed.
+
+    Returns
+    -------
+    pandas.Series
+        Busmap, possibly with carrier suffixes added.
+    """
+    busmap = busmap.astype(str)
+    carrier_by_bus = n.buses.carrier.reindex(busmap.index).astype(str)
+
+    mixed_clusters = carrier_by_bus.groupby(busmap).nunique().loc[lambda s: s > 1].index
+
+    if allow_ac_dc_mixing_in_bus_clusters:
+        if len(mixed_clusters):
+            logger.warning(
+                "`allow_ac_dc_mixing_in_bus_clusters` is enabled. Coercing bus carrier to AC in %s mixed clusters.",
+                len(mixed_clusters),
+            )
+            mixed_bus_i = busmap.index[busmap.isin(mixed_clusters)]
+            n.buses.loc[mixed_bus_i, "carrier"] = "AC"
+        return busmap
+
+    if len(mixed_clusters):
+        logger.info(
+            "Splitting %s mixed AC/DC clusters by carrier before aggregation.",
+            len(mixed_clusters),
+        )
+    return busmap.str.cat(carrier_by_bus, sep="")
+
+
 def cluster_regions(
     busmaps: tuple | list, regions: gpd.GeoDataFrame, with_country: bool = False
 ) -> gpd.GeoDataFrame:
@@ -509,7 +552,7 @@ def busmap_for_admin_regions(
             buses_subset.to_crs(epsg=3857),
             admin_regions.loc[admin_regions["country"] == country].to_crs(epsg=3857),
             how="left",
-        )["admin"]
+        )["admin"].astype(str)
 
     return buses["busmap"]
 
@@ -586,10 +629,25 @@ def update_bus_coordinates(
     admin_regions["y"] = admin_regions["poi"].y
 
     busmap_df = pd.DataFrame(busmap)
+
+    # Determine admin for each bus via spatial join of bus coordinates
+    # to the administrative polygons
+    buses_gdf = gpd.GeoDataFrame(
+        n.buses[["x", "y"]].copy(),
+        geometry=gpd.points_from_xy(n.buses["x"], n.buses["y"]),
+        crs=geo_crs,
+    )
+
+    # Find nearest admin region for each bus
+    admin_geo = admin_regions.copy()
+    admin_geo["admin_id"] = admin_geo.index
+    joined = gpd.sjoin_nearest(buses_gdf, admin_geo, how="left")
+    busmap_df["admin"] = joined["admin_id"].astype(str).reindex(busmap_df.index)
+
     busmap_df = pd.merge(
         busmap_df,
         admin_regions[["x", "y"]],
-        left_on="busmap",
+        left_on="admin",
         right_index=True,
         how="left",
     )
@@ -603,7 +661,7 @@ def update_bus_coordinates(
     if "snakemake" not in globals():
         from scripts._helpers import mock_snakemake
 
-        snakemake = mock_snakemake("cluster_network", clusters=60)
+        snakemake = mock_snakemake("cluster_network", clusters=50)
     configure_logging(snakemake)
     set_scenario_config(snakemake)
 
@@ -686,6 +744,14 @@ def update_bus_coordinates(
                 features=features,
             )
 
+        allow_ac_dc_mixing_in_bus_clusters = params.cluster_network[
+            "allow_ac_dc_mixing_in_bus_clusters"
+        ]
+
+        busmap = apply_carrier_mixing_policy(
+            n, busmap, allow_ac_dc_mixing_in_bus_clusters
+        )
+
         clustering = clustering_for_n_clusters(
             n,
             busmap,
diff --git a/scripts/lib/validation/config/clustering.py b/scripts/lib/validation/config/clustering.py
index ccc412631e..1b24b8d6d6 100644
--- a/scripts/lib/validation/config/clustering.py
+++ b/scripts/lib/validation/config/clustering.py
@@ -65,6 +65,10 @@ class _ClusterNetworkConfig(BaseModel):
         "kmeans",
         description="Clustering algorithm to use.",
     )
+    allow_ac_dc_mixing_in_bus_clusters: bool = Field(
+        False,
+        description="Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+    )
     hac_features: list[str] = Field(
         default_factory=lambda: ["wnd100m", "influx_direct"],
         description="List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
diff --git a/scripts/simplify_network.py b/scripts/simplify_network.py
index ba42f597e4..a626b14b82 100644
--- a/scripts/simplify_network.py
+++ b/scripts/simplify_network.py
@@ -132,13 +132,14 @@ def split_links(nodes, added_supernodes):
 
         seen = set()
 
-        # Supernodes are endpoints of links, identified by having lass then two neighbours or being an AC Bus
-        # An example for the latter is if two different links are connected to the same AC bus.
+        # Supernodes are buses that are not simple chain nodes within the component.
+        # A chain node has degree 2 inside the component; endpoints (degree 1),
+        # junctions (degree >=3), and AC buses are kept as supernodes.
         supernodes = {
             m
             for m in nodes
             if (
-                (len(G.adj[m]) < 2 or (set(G.adj[m]) - nodes))
+                (len(set(G.adj[m]) & nodes) != 2)
                 or (n.buses.loc[m, "carrier"] == "AC")
                 or (m in added_supernodes)
             )
@@ -238,9 +239,6 @@ def split_links(nodes, added_supernodes):
 
     _remove_clustered_buses_and_branches(n, busmap)
 
-    # Change carrier type of all added super_nodes to "AC"
-    n.buses.loc[added_supernodes, "carrier"] = "AC"
-
     return n, busmap
 
 

From cf2ef77e60579fd31d40e6a11d5ca09e6f217c1b Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Tue, 9 Jun 2026 13:49:09 +0200
Subject: [PATCH 072/105] docs: arrange pages in tabs (#2190)

* docs: arrange pages in tabs, add some plugins

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---
 doc/assets/stylesheets/extra.css | 13 +++++
 mkdocs.yml                       | 82 +++++++++++++++++++++-----------
 2 files changed, 68 insertions(+), 27 deletions(-)
 create mode 100644 doc/assets/stylesheets/extra.css

diff --git a/doc/assets/stylesheets/extra.css b/doc/assets/stylesheets/extra.css
new file mode 100644
index 0000000000..6d773abde9
--- /dev/null
+++ b/doc/assets/stylesheets/extra.css
@@ -0,0 +1,13 @@
+/*
+ * SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+ *
+ * SPDX-License-Identifier: MIT
+ */
+:root > * {
+  --md-primary-fg-color:        #4b73d7;
+  --md-primary-fg-color--light: #749bfb;
+  --md-primary-fg-color--dark:  #3d5696;
+  --md-primary-bg-color:           white;
+  --md-accent-fg-color: rgb(75, 115, 215, 0.5);
+  --md-typeset-a-color:    #4b73d7;
+}
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index d99959e4a4..8093d92480 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -13,49 +13,68 @@ theme:
   name: material
   logo: img/logo.svg
   features:
+  - navigation.tabs
+  - navigation.tabs.sticky
   - navigation.sections
   - navigation.expand
+  - navigation.indexes
+  - navigation.top
+  - navigation.tracking
   - search.suggest
   - content.code.copy
   - content.tabs.link
+  - content.action.edit
+  - content.action.view
+  - toc.follow
+  - search.highlight
+  - search.share
+  font:
+    text: Overpass
 
 nav:
-- Home: index.md
-- Getting Started:
-  - Introduction: introduction.md
-  - Installation: installation.md
-  - "Tutorial: Electricity-Only": tutorial.md
-  - "Tutorial: Sector-Coupled": tutorial_sector.md
+- Home:
+  - Home: index.md
+  - Getting Started:
+    - Introduction: introduction.md
+    - Installation: installation.md
+    - "Tutorial: Electricity-Only": tutorial.md
+    - "Tutorial: Sector-Coupled": tutorial_sector.md
+  - References:
+    - Release Notes: release_notes.md
+    - Licenses: licenses.md
+    - Validation: validation.md
+    - Limitations: limitations.md
+    - Support: support.md
+    - Publications: publications.md
+
+- Design:
+  - Spatial Resolution: spatial_resolution.md
+  - Supply and Demand: supply_demand.md
+  - Foresight Options: foresight.md
+  - Techno-Economic Assumptions: costs.md
+  - OETC Integration: oetc.md
+
 - Configuration:
   - Wildcards: wildcards.md
   - Configuration: configuration.md
-  - Foresight Options: foresight.md
-  - Techno-Economic Assumptions: costs.md
+
+- Data Sources:
+  - Data Sources: data_sources.md
+  - Base Network: data-base-network.md
+  - Cutouts: data-cutouts.md
+  - Data Repositories: data-repos.md
+
 - Rules Overview:
   - Retrieving Data: retrieve.md
   - Building Electricity Networks: preparation.md
   - Building Sector-Coupled Networks: sector.md
   - Solving Networks: solving.md
-  - OETC Integration: oetc.md
   - Plotting and Summaries: plotting.md
-- Implementation details for sector-coupled systems:
-  - Spatial resolution: spatial_resolution.md
-  - Supply and demand: supply_demand.md
-- References:
-  - Release Notes: release_notes.md
-  - Licenses: licenses.md
-  - Data Sources:
-    - data_sources.md
-    - Base Network: data-base-network.md
-    - Cutouts: data-cutouts.md
-    - Data Repositories: data-repos.md
-  - Validation: validation.md
-  - Limitations: limitations.md
-  - Contributing:
-    - contributing.md
-    - Validation Development: validation_dev.md
-  - Support: support.md
-  - Publications: publications.md
+
+- Contributing:
+  - contributing.md
+  - Validation Development: validation_dev.md
+
 
 plugins:
 - search
@@ -88,6 +107,9 @@ markdown_extensions:
 - footnotes
 - admonition
 - pymdownx.details
+- pymdownx.caret
+- pymdownx.tilde
+- abbr
 - pymdownx.snippets:
     base_path: .
 - pymdownx.superfences:
@@ -110,5 +132,11 @@ markdown_extensions:
 hooks:
 - doc/hooks.py
 
+extra_css:
+- assets/stylesheets/extra.css
+
 extra_javascript:
 - https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
+
+copyright: >-
+  &copy Copyright PyPSA-Eur Contributors | CC-BY-4.0

From 920afcacc17512b35afd6973d48f8719f124836b Mon Sep 17 00:00:00 2001
From: Fabian <fab.hof@gmx.de>
Date: Wed, 10 Jun 2026 10:46:42 +0200
Subject: [PATCH 073/105] make build_ambient_ait_temp script thread-safe

---
 scripts/build_ambient_air_temperature_yearly_average.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/scripts/build_ambient_air_temperature_yearly_average.py b/scripts/build_ambient_air_temperature_yearly_average.py
index 0f29113d14..c90bce19c9 100644
--- a/scripts/build_ambient_air_temperature_yearly_average.py
+++ b/scripts/build_ambient_air_temperature_yearly_average.py
@@ -70,7 +70,9 @@ def get_data_in_geometry(
     configure_logging(snakemake)
     set_scenario_config(snakemake)
 
-    ambient_temperature = xr.open_mfdataset(snakemake.input.cutout).temperature - 273.15
+    ambient_temperature = (
+        xr.open_mfdataset(snakemake.input.cutout, chunks="auto").temperature - 273.15
+    )
 
     # Load onshore regions
     regions_onshore = gpd.read_file(snakemake.input.regions_onshore)
@@ -100,6 +102,6 @@ def get_data_in_geometry(
     )
 
     # Save the result
-    average_temperature_by_region.to_netcdf(
-        snakemake.output.average_ambient_air_temperature
+    average_temperature_by_region.compute(scheduler="single-threaded").to_netcdf(
+        snakemake.output.average_ambient_air_temperature,
     )

From 86f0e49e82087bd3a00e39ab9d211dd505c88dc3 Mon Sep 17 00:00:00 2001
From: Fabian Hofmann <fab.hof@gmx.de>
Date: Wed, 10 Jun 2026 10:54:24 +0200
Subject: [PATCH 074/105] Revert "make build_ambient_ait_temp script
 thread-safe" (#2196)

This reverts commit 920afcacc17512b35afd6973d48f8719f124836b.
---
 scripts/build_ambient_air_temperature_yearly_average.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/scripts/build_ambient_air_temperature_yearly_average.py b/scripts/build_ambient_air_temperature_yearly_average.py
index c90bce19c9..0f29113d14 100644
--- a/scripts/build_ambient_air_temperature_yearly_average.py
+++ b/scripts/build_ambient_air_temperature_yearly_average.py
@@ -70,9 +70,7 @@ def get_data_in_geometry(
     configure_logging(snakemake)
     set_scenario_config(snakemake)
 
-    ambient_temperature = (
-        xr.open_mfdataset(snakemake.input.cutout, chunks="auto").temperature - 273.15
-    )
+    ambient_temperature = xr.open_mfdataset(snakemake.input.cutout).temperature - 273.15
 
     # Load onshore regions
     regions_onshore = gpd.read_file(snakemake.input.regions_onshore)
@@ -102,6 +100,6 @@ def get_data_in_geometry(
     )
 
     # Save the result
-    average_temperature_by_region.compute(scheduler="single-threaded").to_netcdf(
-        snakemake.output.average_ambient_air_temperature,
+    average_temperature_by_region.to_netcdf(
+        snakemake.output.average_ambient_air_temperature
     )

From 75a73ca515e5b6cfb174191ffabb52ae32d5785b Mon Sep 17 00:00:00 2001
From: Lukas Trippe <lkstrp@pm.me>
Date: Wed, 10 Jun 2026 12:51:34 +0200
Subject: [PATCH 075/105] docs: generate config tables from schema (#2193)

---
 doc/configuration.md | 491 +++----------------------------------------
 doc/macros.py        |  76 +++++++
 2 files changed, 106 insertions(+), 461 deletions(-)

diff --git a/doc/configuration.md b/doc/configuration.md
index 1c513e1205..b3ddeda0b6 100644
--- a/doc/configuration.md
+++ b/doc/configuration.md
@@ -79,10 +79,7 @@ Switch to retrieve the tutorial data set instead of the full data set.
 
 Configuration for top level `logging` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `level` | enum (`DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`) | `INFO` | Restrict console outputs to all infos, warning or errors only |
-| `format` | string | `%(levelname)s:%(name)s:%(message)s` | Custom format for log messages. See [LogRecord ](https://docs.python.org/3/library/logging.html#logging.LogRecord) attributes. |
+{{ schema_table("logging") }}
 
 **YAML Syntax**
 
@@ -97,10 +94,7 @@ Configuration for top level `logging` settings.
 
 Configuration for top level `remote` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `ssh` | string | `""` | Optionally specify the SSH of a remote cluster to be synchronized. |
-| `path` | string | `""` | Optionally specify the file path within the remote cluster to be synchronized. |
+{{ schema_table("remote") }}
 
 **YAML Syntax**
 
@@ -121,18 +115,7 @@ Therefore the user can run different configurations within the same directory.
 
 Configuration for top level `run` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `prefix` | string | `""` | Prefix for the run name which is used as a top-layer directory name in the results and resources folders. |
-| `name` | string \| list of string | `""` | Specify a name for your run. Results will be stored under this name. If `scenario: enable:` is set to `true`, the name must contain a subset of scenario names defined in `scenario: file:`. If the name is 'all', all defined scenarios will be run. |
-| `scenarios` | any |  | Configuration for `run.scenarios` level. |
-| ↳ `enable` | boolean | `false` | Switch to select whether workflow should generate scenarios based on `file`. |
-| ↳ `file` | string | `config/scenarios.yaml` | Path to the scenario yaml file. The scenario file contains config overrides for each scenario. In order to be taken account, `run: scenarios` has to be set to `true` and `run: name` has to be a subset of top level keys given in the scenario file. In order to automatically create a `scenario.yaml` file based on a combination of settings, alter and use the `config/create_scenarios.py` script in the `config` directory. |
-| `disable_progressbar` | boolean | `false` | Switch to select whether progressbar should be disabled. |
-| `shared_resources` | any |  | Configuration for `run.shared_resources` level. |
-| ↳ `policy` | boolean \| string | `false` | Boolean switch to select whether resources should be shared across runs. If a string is passed, this is used as a subdirectory name for shared resources. If set to 'base', only resources before creating the elec.nc file are shared. |
-| ↳ `exclude` | list of string |  | For the case shared_resources=base, specify additional files that should not be shared across runs. |
-| `use_shadow_directory` | boolean | `false` | Set to `true` (default) if snakemake shadow directories (`shallow`) should be used. Set to `false` if problems occur. |
+{{ schema_table("run") }}
 
 **YAML Syntax**
 
@@ -191,12 +174,7 @@ An exemplary dependency graph (starting from the simplification rules) then look
 
 Configuration for top level `scenario` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `clusters` | list of integer \| enum (`adm`, `all`) |  | List of `{clusters}` wildcards to run. Use 'adm' for administrative clustering mode, 'all' for all nodes. |
-| `opts` | list of string |  | List of `{opts}` wildcards to run. |
-| `sector_opts` | list of string |  | List of `{sector_opts}` wildcards to run. |
-| `planning_horizons` | list of integer |  | List of `{planning_horizon}` wildcards to run. |
+{{ schema_table("scenario") }}
 
 **YAML Syntax**
 
@@ -225,11 +203,7 @@ Specifies the temporal range to build an energy system model for as arguments to
 
 Configuration for `snapshots` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `start` | string \| list of string | `2013-01-01` | Left bound of date range. |
-| `end` | string \| list of string | `2014-01-01` | Right bound of date range. |
-| `inclusive` | enum (`left`, `right`, `both`) \| null | `left` | Make the time interval closed to the `left`, `right`, or both sides `both` or neither side `None`. |
+{{ schema_table("snapshots") }}
 
 **YAML Syntax**
 
@@ -244,9 +218,7 @@ Switches for some rules and optional features.
 
 Configuration for `enable` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `drop_leap_day` | boolean | `true` | Switch to drop February 29 from all time-dependent data in leap years. |
+{{ schema_table("enable") }}
 
 **YAML Syntax**
 
@@ -278,54 +250,7 @@ Configuration for `co2_budget` settings.
 
 Configuration for `electricity` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `voltages` | list of number |  | Voltage levels to consider. |
-| `base_network` | enum (`entsoegridkit`, `osm`, `tyndp`) | `osm` | Specify the underlying base network, i.e. GridKit (based on ENTSO-E web map extract), OpenStreetMap (OSM), or TYNDP. |
-| `gaslimit_enable` | boolean | `false` | Add an overall absolute gas limit configured in `electricity: gaslimit`. |
-| `gaslimit` | number \| boolean | `false` | Global gas usage limit. |
-| `co2limit_enable` | boolean | `false` | Add an overall absolute carbon-dioxide emissions limit configured in `electricity: co2limit` in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks. |
-| `co2limit` | number | `77500000.0` | Cap on total annual system carbon dioxide emissions. |
-| `co2base` | number | `1487000000.0` | Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in `{opts}` wildcard. |
-| `operational_reserve` | any |  | Configuration for `electricity.operational_reserve` settings. |
-| ↳ `activate` | boolean | `false` | Whether to take operational reserve requirements into account during optimisation. |
-| ↳ `epsilon_load` | number | `0.02` | share of total load. |
-| ↳ `epsilon_vres` | number | `0.02` | share of total renewable supply. |
-| ↳ `contingency` | number | `4000` | Fixed reserve capacity (MW). |
-| `max_hours` | any |  | Configuration for `electricity.max_hours` settings. |
-| ↳ `battery` | number | `6` | Maximum state of charge capacity of the battery in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `li-ion` | number | `6` | Maximum state of charge capacity of the lithium-ion storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `lfp` | number | `6` | Maximum state of charge capacity of the lithium-ion-LFP storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `vanadium` | number | `10` | Maximum state of charge capacity of the vanadium-redox-flow storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `lair` | number | `12` | Maximum state of charge capacity of the liquid-air storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `pair` | number | `24` | Maximum state of charge capacity of the compressed-air-adiabatic storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `iron-air` | number | `100` | Maximum state of charge capacity of the iron-air storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| ↳ `H2` | number | `168` | Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| `extendable_carriers` | any |  | Configuration for `electricity.extendable_carriers` settings. |
-| ↳ `Generator` | list of string |  | Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the `conventional_carriers` list, the lower limit of the capacity expansion is set to 0. |
-| ↳ `StorageUnit` | list of string |  | Adds extendable storage units at every node/bus after clustering without capacity limits and with zero initial capacity. Supported technologies include battery, H2, li-ion, vanadium, lfp, lair, pair, and iron-air. |
-| ↳ `Store` | list of string |  | Adds extendable storage units at every node/bus after clustering without capacity limits and with zero initial capacity. Supported technologies include battery, H2, li-ion, vanadium, lfp, lair, pair, and iron-air. |
-| ↳ `Link` | list of string |  | Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as `Store`. |
-| `powerplants_filter` | string \| boolean | `(DateOut > 2025 or DateOut != DateOut) and (DateIn < 2026 or DateIn != DateIn)` | Filter query for the default powerplant database. |
-| `custom_powerplants` | string \| boolean | `false` | Filter query for the custom powerplant database. |
-| `everywhere_powerplants` | list of string |  | List of conventional power plants to add to every node in the model with zero initial capacity. To be used in combination with `extendable_carriers` to allow for building conventional powerplants irrespective of existing locations. |
-| `conventional_carriers` | list of string |  | List of conventional power plants to include in the model from `resources/powerplants_s_{clusters}.csv`. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound. |
-| `renewable_carriers` | list of string |  | List of renewable generators to include in the model. |
-| `estimate_renewable_capacities` | any |  | Configuration for `electricity.estimate_renewable_capacities` settings. |
-| ↳ `enable` | boolean | `true` | Activate routine to estimate renewable capacities in rule `add_electricity`. This option should not be used in combination with pathway planning `foresight: myopic` or `foresight: perfect` as renewable capacities are added differently in `add_existing_baseyear`. |
-| ↳ `from_powerplantmatching` | boolean | `true` | Add renewable capacities from powerplantmatching dataset. |
-| ↳ `from_irenastat` | boolean | `false` | Supplement powerplantmatching dataset with heuristics based on country-level renewable capacities from IRENA (IRENASTAT). |
-| ↳ `year` | integer | `2024` | Renewable capacities are based on existing capacities reported by IRENA (IRENASTAT) for the specified year. |
-| ↳ `expansion_limit` | number \| boolean | `false` | Artificially limit maximum IRENA capacities to a factor. For example, an `expansion_limit: 1.1` means 110% of capacities. If false are chosen, the estimated renewable potentials determine by the workflow are used. |
-| ↳ `technology_mapping` | any |  | Configuration for `electricity.estimate_renewable_capacities.technology_mapping` settings. |
-| ↳↳ `Offshore` | string | `offwind-ac` | PyPSA-Eur carrier that is considered for existing offshore wind technology (IRENA, GEM). |
-| ↳↳ `Onshore` | string | `onwind` | PyPSA-Eur carrier that is considered for existing onshore wind capacities (IRENA, GEM). |
-| ↳↳ `PV` | string | `solar` | PyPSA-Eur carrier that is considered for existing solar PV capacities (IRENA, GEM). |
-| `estimate_battery_capacities` | boolean | `false` | Enable estimation of existing battery storage capacities. |
-| `autarky` | any |  | Configuration for `electricity.autarky` settings. |
-| ↳ `enable` | boolean | `false` | Require each node to be autarkic by removing all lines and links. |
-| ↳ `by_country` | boolean | `false` | Require each country to be autarkic by removing all cross-border lines and links. `electricity: autarky` must be enabled. |
-| `transmission_limit` | string | `vopt` | Limit on transmission expansion. The first part can be `v` (for setting a limit on line volume) or `c` (for setting a limit on line cost). The second part can be `opt` or a float bigger than one (e.g. 1.25). If `opt` is chosen line expansion is optimised according to its capital cost (where the choice `v` only considers overhead costs for HVDC transmission lines, while `c` uses more accurate costs distinguishing between overhead and underwater sections and including inverter pairs). The setting `v1.25` will limit the total volume of line expansion to 25% of currently installed capacities weighted by individual line lengths. The setting `c1.25` will allow to build a transmission network that costs no more than 25 % more than the current system. |
+{{ schema_table("electricity") }}
 
 **YAML Syntax**
 
@@ -340,13 +265,7 @@ Define and specify the `atlite.Cutout` used for calculating renewable potentials
 
 Configuration for `atlite` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `default_cutout` | string \| list of string | `europe-2013-sarah3-era5` | Defines a default cutout. Can refer to a single cutout or a list of cutouts. |
-| `nprocesses` | integer | `1` | Number of parallel processes in cutout preparation. |
-| `show_progress` | boolean | `false` | Whether progressbar for atlite conversion processes should be shown. False saves time. |
-| `plot_availability_matrix` | boolean | `false` | Whether to plot the landuse availability matrix. |
-| `cutouts` | dict (str -> any) |  | Named cutout configurations. |
+{{ schema_table("atlite") }}
 
 **YAML Syntax**
 
@@ -361,134 +280,27 @@ Configuration for `atlite` settings.
 
 Configuration for onshore wind.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `resource` | any |  | Configuration for wind resource settings. |
-| ↳ `method` | string | `wind` | A superordinate technology type. |
-| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
-| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
-| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
-| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
-| `capacity_per_sqkm` | number | `3` | Allowable density of wind turbine placement. |
-| `correction_factor` | number | `1.0` | Correction factor for capacity factor time series. |
-| `corine` | boolean \| any |  | CORINE land cover configuration. |
-| ↳ `grid_codes` | list of integer |  | Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement. |
-| ↳ `distance` | number | `1000` | Distance in meters to keep from areas specified in `distance_grid_codes`. |
-| ↳ `distance_grid_codes` | list of integer |  | Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting `distance`. |
-| `luisa` | boolean \| object | `false` | LUISA land cover configuration. |
-| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
-| `excluder_resolution` | number | `100` | Resolution in meters on which to perform geographical eligibility analysis. |
-| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+{{ schema_table("renewable.onwind") }}
 
 Configuration for offshore wind.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `resource` | any |  | Configuration for wind resource settings. |
-| ↳ `method` | string | `wind` | A superordinate technology type. |
-| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
-| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
-| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
-| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
-| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
-| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
-| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
-| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
-| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_depth` | number \| null |  | Minimum water depth in meters. |
-| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
-| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
-| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+{{ schema_table("renewable.offwind-ac") }}
 
 Configuration for offshore wind.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `resource` | any |  | Configuration for wind resource settings. |
-| ↳ `method` | string | `wind` | A superordinate technology type. |
-| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
-| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
-| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
-| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
-| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
-| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
-| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
-| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
-| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_depth` | number \| null |  | Minimum water depth in meters. |
-| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
-| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
-| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+{{ schema_table("renewable.offwind-dc") }}
 
 Configuration for offshore wind.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `resource` | any |  | Configuration for wind resource settings. |
-| ↳ `method` | string | `wind` | A superordinate technology type. |
-| ↳ `turbine` | string \| dict (str -> string) |  | Specifies the turbine type and its characteristic power curve. Can be a string or a dictionary with years as keys which denote the year another turbine model becomes available. |
-| ↳ `smooth` | boolean | `false` | Switch to apply a gaussian kernel density smoothing to the power curve. |
-| ↳ `add_cutout_windspeed` | boolean | `true` | Whether to add cutout windspeed data. |
-| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
-| `capacity_per_sqkm` | number | `2` | Allowable density of wind turbine placement. |
-| `correction_factor` | number | `0.8855` | Correction factor for capacity factor time series. |
-| `corine` | boolean \| list of integer | `false` | Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for AC-connected offshore wind turbine placement. |
-| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
-| `ship_threshold` | number | `400` | Ship density threshold from which areas are excluded. |
-| `max_depth` | number \| null |  | Maximum sea water depth in meters at which wind turbines can be built. Maritime areas with deeper waters are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_depth` | number \| null |  | Minimum water depth in meters. |
-| `max_shore_distance` | number \| null |  | Maximum distance to the shore in meters above which wind turbines cannot be built. Such areas are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `min_shore_distance` | number \| null |  | Minimum distance to the shore in meters below which wind turbines cannot be built. Such areas close to the shore are excluded in the process of calculating the AC-connected offshore wind potential. |
-| `excluder_resolution` | number | `200` | Resolution in meters on which to perform geographical eligibility analysis. |
-| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
-| `landfall_length` | number \| string | `20` | Fixed length of the cable connection that is onshorelandfall in km. If 'centroid', the length is calculated as the distance to centroid of the onshore bus. |
+{{ schema_table("renewable.offwind-float") }}
 
 Configuration for solar PV.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `resource` | any |  | Configuration for solar resource settings. |
-| ↳ `method` | string | `pv` | A superordinate technology type. |
-| ↳ `panel` | string \| dict (str -> string) | `CSi` | Specifies the solar panel technology and its characteristic attributes. Can be a string or a dictionary with years as keys which denote the year another panel model becomes available. |
-| ↳ `orientation` | dict (str -> number) |  | Panel orientation with slope and azimuth. |
-| ↳ `tracking` | string \| null |  | Tracking type (e.g., 'horizontal'). |
-| `resource_classes` | integer | `1` | Number of resource classes per clustered region. |
-| `capacity_per_sqkm` | number | `5.1` | Allowable density of solar panel placement. |
-| `correction_factor` | number | `1.0` | A correction factor for the capacity factor (availability) time series. |
-| `corine` | boolean \| list of integer |  | Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement. |
-| `luisa` | boolean \| list of integer | `false` | Specifies areas according to the LUISA Base Map codes which are generally eligible for solar panel placement. |
-| `natura` | boolean | `true` | Switch to exclude [Natura 2000 ](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas. Area is excluded if `true`. |
-| `excluder_resolution` | number | `100` | Resolution in meters on which to perform geographical eligibility analysis. |
-| `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
+{{ schema_table("renewable.solar") }}
 
 Configuration for hydropower.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| `carriers` | list of string |  | Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams. |
-| `PHS_max_hours` | number | `6` | Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom`. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| `hydro_max_hours` | string \| number | `energy_capacity_totals_by_country` | Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity `p_nom` or heuristically determined. Cf. [PyPSA documentation ](https://pypsa.readthedocs.io/en/latest/components.html#storage-unit). |
-| `flatten_dispatch` | boolean | `false` | Consider an upper limit for the hydro dispatch. The limit is given by the average capacity factor plus the buffer given in `flatten_dispatch_buffer`. |
-| `flatten_dispatch_buffer` | number | `0.2` | If `flatten_dispatch` is true, specify the value added above the average capacity factor. |
-| `clip_min_inflow` | number | `1.0` | To avoid too small values in the inflow time series, values below this threshold (MW) are set to zero. |
-| `eia_norm_year` | boolean \| integer | `false` | To specify a specific year by which hydro inflow is normed that deviates from the snapshots' year. |
-| `eia_correct_by_capacity` | boolean | `false` | Correct EIA annual hydro generation data by installed capacity. |
-| `eia_approximate_missing` | boolean | `false` | Approximate hydro generation data for years not included in EIA dataset through a regression based on annual runoff. |
+{{ schema_table("renewable.hydro") }}
 
 **YAML Syntax**
 
@@ -556,12 +368,7 @@ overwrite the existing values.
 
 Configuration for `conventional` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `unit_commitment` | boolean | `false` | Allow the overwrite of ramp_limit_up, ramp_limit_start_up, ramp_limit_shut_down, p_min_pu, min_up_time, min_down_time, and start_up_cost of conventional generators. Refer to the CSV file 'unit_commitment.csv'. |
-| `dynamic_fuel_price` | boolean | `false` | Consider the monthly fluctuating fuel prices for each conventional generator. Refer to the CSV file 'data/validation/monthly_fuel_price.csv'. |
-| `fuel_price_rolling_window` | integer | `6` | Monthly rolling mean window for fossil fuel prices smoothing. |
-| `nuclear` | dict (str -> string \| number) |  | For any carrier/technology overwrite attributes as listed below. |
+{{ schema_table("conventional") }}
 
 **YAML Syntax**
 
@@ -574,21 +381,7 @@ Configuration for `conventional` settings.
 
 Configuration for `lines` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `types` | dict (str -> string) |  | Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV. |
-| `s_max_pu` | number | `0.7` | Correction factor for line capacities (`s_nom`) to approximate N-1 security and reserve capacity for reactive power flows. |
-| `s_nom_max` | number |  | Global upper limit for the maximum capacity of each extendable line (MW). |
-| `max_extension` | number | `20000` | Upper limit for the extended capacity of each extendable line (MW). |
-| `length_factor` | number | `1.25` | Correction factor to account for the fact that buses are *not* connected by lines through air-line distance. |
-| `reconnect_crimea` | boolean | `true` | Whether to reconnect Crimea to the Ukrainian grid. |
-| `under_construction` | enum (`zero`, `remove`, `keep`) | `keep` | Specifies how to handle lines which are currently under construction. |
-| `dynamic_line_rating` | any |  | Configuration for `lines.dynamic_line_rating` settings. |
-| ↳ `activate` | boolean | `false` | Whether to take dynamic line rating into account. |
-| ↳ `cutout` | string \| list of string | `default` | Specifies the weather data cutout file(s) to use. |
-| ↳ `correction_factor` | number | `0.95` | Factor to compensate for overestimation of wind speeds in hourly averaged wind data. |
-| ↳ `max_voltage_difference` | number \| `False` | `false` | Maximum voltage angle difference in degrees or 'false' to disable. |
-| ↳ `max_line_rating` | number \| `False` | `false` | Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable. |
+{{ schema_table("lines") }}
 
 **YAML Syntax**
 
@@ -601,14 +394,7 @@ Configuration for `lines` settings.
 
 Configuration for `links` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `p_max_pu` | number | `1.0` | Correction factor for link capacities `p_nom`. |
-| `p_min_pu` | number | `-1.0` | Correction factor for link capacities `p_nom`. |
-| `p_nom_max` | number |  | Global upper limit for the maximum capacity of each extendable DC link (MW). |
-| `max_extension` | number | `30000` | Upper limit for the extended capacity of each extendable DC link (MW). |
-| `length_factor` | number | `1.25` | Correction factor to account for the fact that buses are *not* connected by links through air-line distance. |
-| `under_construction` | enum (`zero`, `remove`, `keep`) | `keep` | Specifies how to handle lines which are currently under construction. |
+{{ schema_table("links") }}
 
 **YAML Syntax**
 
@@ -623,16 +409,7 @@ Allows to define additional transmission projects that will be added to the base
 
 Configuration for `transmission_projects` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `enable` | boolean | `true` | Whether to integrate this transmission projects or not. |
-| `include` | any |  | Configuration for `transmission_projects.include` settings. |
-| ↳ `tyndp2020` | boolean | `true` | Whether to integrate the TYNDP 2020 dataset. |
-| ↳ `nep` | boolean | `true` | Whether to integrate the German network development plan dataset. |
-| ↳ `manual` | boolean | `true` | Whether to integrate the manually added transmission projects. They are taken from the previously existing links_tyndp.csv file. |
-| `skip` | list of string |  | Type of lines to skip from all transmission projects. Possible values are: `upgraded_lines`, `upgraded_links`, `new_lines`, `new_links`. |
-| `status` | list of string \| dict (str -> list of string) |  | Status to include into the model as list or as dict with name of project and status to include. Possible values for status are `under_construction`, `in_permitting`, `confirmed`, `planned_not_yet_permitted`, `under_consideration`. |
-| `new_link_capacity` | enum (`zero`, `keep`) | `zero` | Whether to set the new link capacity to the provided capacity or set it to zero. |
+{{ schema_table("transmission_projects") }}
 
 **YAML Syntax**
 
@@ -645,11 +422,7 @@ Configuration for `transmission_projects` settings.
 
 Configuration for `transformers` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `x` | number | `0.1` | Series reactance in per unit (p.u.), using `s_nom` as base power of the transformer. Overwritten if `type` is specified. |
-| `s_nom` | number | `2000.0` | Limit of apparent power which can pass through branch (MVA). Overwritten if `type` is specified. |
-| `type` | string | `""` | Specifies transformer types to assume for the transformers of the ENTSO-E grid extraction. |
+{{ schema_table("transformers") }}
 
 **YAML Syntax**
 
@@ -662,20 +435,7 @@ Configuration for `transformers` settings.
 
 Configuration for `load` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `fill_gaps` | any |  | Configuration for `load.fill_gaps` settings. |
-| ↳ `enable` | boolean | `true` | Whether to fill gaps using interpolation for small gaps and time shift for large gaps. |
-| ↳ `interpolate_limit` | integer | `6` | Maximum gap size (consecutive nans) which interpolated linearly. |
-| ↳ `time_shift_for_large_gaps` | string | `1w` | Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid `pandas` period strings. |
-| `manual_adjustments` | boolean | `true` | Whether to adjust the load data manually according to the function in `manual_adjustment`. |
-| `scaling_factor` | number | `1.0` | Global correction factor for the load time series. |
-| `fixed_year` | integer \| boolean | `false` | To specify a fixed year for the load time series that deviates from the snapshots' year. |
-| `supplement_synthetic` | boolean | `true` | Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928). |
-| `substation_only` | boolean | `true` | Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data. |
-| `distribution_key` | any |  | Configuration for `load.distribution_key` settings. |
-| ↳ `gdp` | number | `0.6` | Weighting factor for the GDP data in the distribution key. |
-| ↳ `population` | number | `0.4` | Weighting factor for the population data in the distribution key. |
+{{ schema_table("load") }}
 
 **YAML Syntax**
 
@@ -690,11 +450,7 @@ Only used for sector-coupling studies.
 
 Configuration for `energy` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `energy_totals_year` | integer | `2023` | The year for the sector energy use. The year must be available in the Eurostat report. |
-| `base_emissions_year` | integer | `1990` | The base year for the sector emissions. See [European Environment Agency (EEA) ](https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16). |
-| `emissions` | string | `CO2` | Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented. |
+{{ schema_table("energy") }}
 
 **YAML Syntax**
 
@@ -727,17 +483,7 @@ Configuration for `energy` settings.
 
 Configuration for `biomass` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `year` | integer | `2030` | Year for which to retrieve biomass potential according to the assumptions of the [JRC ENSPRESO ](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f). |
-| `scenario` | enum (`ENS_Low`, `ENS_Med`, `ENS_High`) | `ENS_Med` | Scenario for which to retrieve biomass potential. The scenario definition can be seen in [ENSPRESO_BIOMASS ](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx). |
-| `classes` | any |  | Configuration for `biomass.classes` settings. |
-| ↳ `solid biomass` | list of string |  | The comodity that are included as solid biomass. |
-| ↳ `not included` | list of string |  | The comodity that are not included as a biomass potential. |
-| ↳ `biogas` | list of string |  | The comodity that are included as biogas. |
-| ↳ `municipal solid waste` | list of string |  | The commodities that are included as municipal solid waste. |
-| `share_unsustainable_use_retained` | dict (str -> number) |  | Share of unsustainable biomass use retained using primary production of Eurostat data as reference. |
-| `share_sustainable_potential_available` | dict (str -> number) |  | Share determines phase-in of ENSPRESO biomass potentials. |
+{{ schema_table("biomass") }}
 
 **YAML Syntax**
 
@@ -759,13 +505,7 @@ Only used for sector-coupling studies.
 
 Configuration for `solar_thermal` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `clearsky_model` | enum (`simple`, `enhanced`) | `simple` | Type of clearsky model for diffuse irradiation. |
-| `orientation` | any |  | Configuration for `solar_thermal.orientation` settings. |
-| ↳ `slope` | number | `45.0` | The angle between the ground and the panels. |
-| ↳ `azimuth` | number | `180.0` | The angle between the North and the sun with panels on the local horizon. |
-| `cutout` | string | `default` | Name of the cutout to use for solar thermal calculations. |
+{{ schema_table("solar_thermal") }}
 
 **YAML Syntax**
 
@@ -783,14 +523,7 @@ Only used for sector-coupling studies. The value for grouping years are only use
 
 Configuration for `existing_capacities` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `grouping_years_power` | list of integer |  | Intervals to group existing capacities for power. |
-| `grouping_years_heat` | list of integer |  | Intervals to group existing capacities for heat. |
-| `threshold_capacity` | number | `10` | Capacities (MW) of generators and links below threshold are removed during add_existing_capacities. |
-| `default_heating_lifetime` | integer | `20` | Default lifetime for heating technologies (years). |
-| `solar_rooftop_ratio` | number | `0.5` | Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1). |
-| `conventional_carriers` | list of string |  | List of conventional power plants to include in the sectoral network. |
+{{ schema_table("existing_capacities") }}
 
 **YAML Syntax**
 
@@ -1011,42 +744,7 @@ Only used for sector-coupling studies.
 
 Configuration for `industry` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `St_primary_fraction` | dict (str -> number) |  | The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6. |
-| `DRI_fraction` | dict (str -> number) |  | The fraction of the primary route DRI + EAF. |
-| `H2_DRI` | number | `1.7` | The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in [Vogl et al (2018) ](https://doi.org/10.1016/j.jclepro.2018.08.279). |
-| `elec_DRI` | number | `0.322` | The electricity consumed in Direct Reduced Iron (DRI) shaft. From [HYBRIT brochure ](https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf). |
-| `Al_primary_fraction` | dict (str -> number) |  | The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4. |
-| `MWh_NH3_per_tNH3` | number | `5.166` | The energy amount per ton of ammonia (LHV). |
-| `MWh_CH4_per_tNH3_SMR` | number | `10.8` | The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from [Center for European Policy Studies (2008) ](https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf). |
-| `MWh_elec_per_tNH3_SMR` | number | `0.7` | The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3. |
-| `MWh_H2_per_tNH3_electrolysis` | number | `5.93` | The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy). |
-| `MWh_elec_per_tNH3_electrolysis` | number | `0.2473` | The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From [Wang et al (2018) ](https://doi.org/10.1016/j.joule.2018.04.017), Table 13 (air separation and HB). |
-| `MWh_NH3_per_MWh_H2_cracker` | number | `1.46` | The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker. |
-| `NH3_process_emissions` | number | `24.5` | The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28. |
-| `petrochemical_process_emissions` | number | `25.5` | The emission of petrochemical production. From UNFCCC for 2015 for EU28. |
-| `HVC_primary_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced via primary route. |
-| `HVC_mechanical_recycling_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced using mechanical recycling. |
-| `HVC_chemical_recycling_fraction` | dict (str -> number) |  | The fraction of high value chemicals (HVC) produced using chemical recycling. |
-| `HVC_environment_sequestration_fraction` | number | `0.0` | The fraction of high value chemicals (HVC) put into landfill resulting in additional carbon sequestration. The default value is 0. |
-| `waste_to_energy` | boolean | `false` | Switch to enable expansion of waste to energy CHPs for conversion of plastics. Default is false. |
-| `waste_to_energy_cc` | boolean | `false` | Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false. |
-| `sector_ratios_fraction_future` | dict (str -> number) |  | The fraction of total progress in fuel and process switching achieved in the industry sector. |
-| `basic_chemicals_without_NH3_production_today` | number | `69.0` | The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3). |
-| `HVC_production_today` | number | `52.0` | The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Figure 16, page 107. |
-| `MWh_elec_per_tHVC_mechanical_recycling` | number | `0.547` | The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of [Meys et al (2020) ](https://doi.org/10.1016/j.resconrec.2020.105010), Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756. |
-| `MWh_elec_per_tHVC_chemical_recycling` | number | `6.9` | The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From [Material Economics (2019) ](https://materialeconomics.com/latest-updates/industrial-transformation-2050), page 125. |
-| `chlorine_production_today` | number | `9.58` | The amount of chlorine produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 7, page 43. |
-| `MWh_elec_per_tCl` | number | `3.6` | The energy amount of electricity needed to produce a ton of chlorine. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 6 page 43. |
-| `MWh_H2_per_tCl` | number | `-0.9372` | The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 43. |
-| `methanol_production_today` | number | `1.5` | The amount of methanol produced. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 62. |
-| `MWh_elec_per_tMeOH` | number | `0.167` | The energy amount of electricity needed to produce a ton of methanol from fossil gas. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65. |
-| `MWh_CH4_per_tMeOH` | number | `10.25` | The energy amount of methane needed to produce a ton of methanol from fossil gas. From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), Table 14, page 65. |
-| `MWh_MeOH_per_tMeOH` | number | `5.528` | The energy amount per ton of methanol (LHV). From [DECHEMA (2017) ](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf), page 74. |
-| `hotmaps_locate_missing` | boolean | `false` | Locate industrial sites without valid locations based on city and countries. |
-| `reference_year` | integer | `2023` | The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001). |
-| `oil_refining_emissions` | number | `0.013` | The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar. |
+{{ schema_table("industry") }}
 
 **YAML Syntax**
 
@@ -1062,29 +760,7 @@ Configuration for `industry` settings.
 
 Configuration for `costs` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `year` | integer | `2050` | Year for which to retrieve cost assumptions of `data/costs/primary/<version>/costs_<year>.csv`. |
-| `social_discountrate` | number | `0.02` | Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%. |
-| `fill_values` | any |  | Configuration for `costs.fill_values` settings. |
-| ↳ `FOM` | number | `0` | Default fixed operation and maintenance cost. |
-| ↳ `VOM` | number | `0` | Default variable operation and maintenance cost. |
-| ↳ `efficiency` | number | `1` | Default efficiency. |
-| ↳ `fuel` | number | `0` | Default fuel cost. |
-| ↳ `investment` | number | `0` | Default investment cost. |
-| ↳ `lifetime` | integer | `25` | Default lifetime in years. |
-| ↳ `CO2 intensity` | number | `0` | Default CO2 intensity. |
-| ↳ `discount rate` | number | `0.07` | Default discount rate. |
-| ↳ `standing losses` | number | `0` | Default standing losses. |
-| `custom_cost_fn` | string \| null | `data/custom_costs.csv` | Path to the custom costs file. None if it should not be used. Default `data/custom_costs.csv` contains minor adjustments for stabilising the optimisation results. |
-| `overwrites` | dict (str -> dict (str -> number)) |  | For the given parameters and technologies, assumptions about their parameter are overwritten the corresponding value of the technology. |
-| `capital_cost` | dict (str -> number) |  | For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`. |
-| `marginal_cost` | dict (str -> number) |  | For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from `resources/costs.csv`. |
-| `emission_prices` | any |  | Configuration for `costs.emission_prices` settings. |
-| ↳ `enable` | boolean | `false` | Add cost for a carbon-dioxide price configured in `costs: emission_prices: co2` to `marginal_cost` of generators. Config setting can also be enabled with the keyword `Ep` in the `{opts}` wildcard for electricity-only runs. |
-| ↳ `co2` | number \| dict (str -> number) | `0.0` | Exogenous price of carbon-dioxide. In electricity-only runs it is added to the marginal costs of fossil-fuelled generators according to their carbon intensity, while for sector networks it applies to emissions ending up in CO2 atmosphere. |
-| ↳ `dynamic` | boolean | `false` | Add time-varying cost for a carbon-dioxide price based on historical values built by the rule `build_co2_prices`. |
-| ↳ `rolling_window` | integer | `90` | Rolling window (in days) for smoothing the historical CO2 prices when `dynamic` is set to True. |
+{{ schema_table("costs") }}
 
 **YAML Syntax**
 
@@ -1099,32 +775,7 @@ use `min` in `p_nom_max:` for more conservative assumptions.
 
 Configuration for `clustering` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `mode` | enum (`busmap`, `custom_busmap`, `administrative`, `custom_busshapes`) | `busmap` | 'busmap': Default. 'custom_busmap': Enable the use of custom busmaps in rule `cluster_network`. If activated the rule looks for provided busmaps at `data/busmaps/base_s_{clusters}_{base_network}.csv` which should have the same format as `resources/busmap_base_s_{clusters}.csv`, i.e. the index should contain the buses of `networks/base_s.nc`. {base_network} is the name of the selected base_network in electricity, e.g. `gridkit`, `osm-prebuilt`, or `osm-raw`. 'administrative': Clusters and indexes the network based on the administrative regions of the countries based on `nuts3_shapes.geojson` (level: 1, 2, 3, bz). To activate this, additionally set the `clusters` wildcard in `scenario` to 'adm'. 'custom_busshapes': Enable the use of custom shapes in rule `cluster_network`. If activated the rule looks for provided busshapes at `data/busshapes/base_s_{clusters}_{base_network}.geojson`. |
-| `administrative` | any |  | Configuration for `clustering.administrative` settings. |
-| ↳ `level` | enum (`0`, `1`, `2`, `3`, `bz`) | `1` | Level of administrative regions to cluster the network. 0: Country level, 1: NUTS1 level, 2: NUTS2 level, 3: NUTS3 level, 'bz': Bidding zones. Only applies when mode is set to `administrative`. Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK' can only be clustered to level 0 and 1. |
-| ↳ `countries` | dict (str -> integer) |  | Optionally include dictionary of individual country codes and their individual NUTS levels. Overwrites country-specific `level`. For example: `{'DE': 1, 'FR': 2}`. Only applies when mode is set to `administrative`. |
-| `focus_weights` | boolean \| dict (str -> number) | `false` | Optionally specify the focus weights for the clustering of countries. For instance: `DE: 0.8` will distribute 80% of all nodes to Germany and 20% to the rest of the countries. Only applies when mode is set to `busmap`. |
-| `copperplate_regions` | list of list of string |  | Optionally specify the regions to copperplate as a list of groups. Each group is a list of region codes that will be connected with infinite capacity lines. |
-| `build_bidding_zones` | any |  | Configuration for `clustering.build_bidding_zones` settings. |
-| ↳ `remove_islands` | boolean | `false` | Exclude from the shape file the Balearic Islands, Bornholm, the Canary Islands, the Orkney Islands, the Shetland Islands, the Azores Islands and Madeira. |
-| ↳ `aggregate_to_tyndp` | boolean | `false` | Adjust the shape file to the TYNDP topology. Aggregate the Southern Norwegian bidding zones and extract Crete as a separate zone from the Greek shape. |
-| `simplify_network` | any |  | Configuration for `clustering.simplify_network` settings. |
-| ↳ `to_substations` | boolean | `false` | Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones. |
-| ↳ `remove_stubs` | boolean | `true` | Controls whether radial parts of the network should be recursively aggregated. Defaults to true. |
-| ↳ `remove_stubs_across_borders` | boolean | `false` | Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true. |
-| `cluster_network` | any |  | Configuration for `clustering.cluster_network` settings. |
-| ↳ `algorithm` | enum (`kmeans`, `hac`) | `kmeans` | Clustering algorithm to use. |
-| ↳ `hac_features` | list of string |  | List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering. |
-| `exclude_carriers` | list of string |  | List of carriers which will not be aggregated. If empty, all carriers will be aggregated. |
-| `consider_efficiency_classes` | boolean \| list of number | `false` | Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]. |
-| `aggregation_strategies` | any |  | Configuration for `clustering.aggregation_strategies` settings. |
-| ↳ `generators` | dict (str -> string) |  | Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator. |
-| ↳ `buses` | dict (str -> string) |  | Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus. |
-| `temporal` | any |  | Configuration for `clustering.temporal` settings. |
-| ↳ `resolution_elec` | boolean \| string | `false` | Resample the time-resolution by averaging over every `n` snapshots in `prepare_network`. **Warning:** This option should currently only be used with electricity-only networks, not for sector-coupled networks. |
-| ↳ `resolution_sector` | boolean \| string | `false` | Resample the time-resolution by averaging over every `n` snapshots in `prepare_sector_network`. |
+{{ schema_table("clustering") }}
 
 **YAML Syntax**
 
@@ -1140,14 +791,7 @@ Configuration for `clustering` settings.
 
 Configuration for top-level adjustments key.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `electricity` | boolean \| any | `false` | Parameter adjustments applied in `prepare_network`. |
-| ↳ `factor` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Multiply original value with given factor |
-| ↳ `absolute` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Set attribute to absolute value. Can be also a dictionary with planning horizons as keys. |
-| `sector` | boolean \| any |  | Parameter adjustments applied in `prepare_sector_network`. |
-| ↳ `factor` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Multiply original value with given factor |
-| ↳ `absolute` | boolean \| dict (str -> dict (str -> dict (str -> number \| dict (str -> any)))) | `false` | Set attribute to absolute value. Can be also a dictionary with planning horizons as keys. |
+{{ schema_table("adjustments") }}
 
 **YAML Syntax**
 
@@ -1160,74 +804,7 @@ Configuration for top-level adjustments key.
 
 Configuration for `solving` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `options` | any |  | Configuration for `solving.options` settings. |
-| ↳ `clip_p_max_pu` | number | `0.01` | To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero. |
-| ↳ `load_shedding` | any |  | Configuration for `solving.options.load_shedding` settings. |
-| ↳↳ `enable` | boolean | `false` | Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers. |
-| ↳↳ `default_cost` | number | `100000` | The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive. |
-| ↳↳ `all_carriers` | boolean | `true` | Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only. |
-| ↳↳ `carriers` | dict (str -> number) | `{}` | Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers. |
-| ↳ `load_sinks` | any |  | Configuration for `solving.options.load_sinks` settings. |
-| ↳↳ `enable` | boolean | `false` | Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers. |
-| ↳↳ `default_cost` | number | `100000` | The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive. |
-| ↳↳ `all_carriers` | boolean | `false` | Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only. |
-| ↳↳ `carriers` | dict (str -> number) | `{}` | Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers. |
-| ↳ `curtailment_mode` | boolean | `false` | Fixes the dispatch profiles of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu` and adds an auxiliary curtailment generator (with negative sign to absorb excess power) at every AC bus. This can speed up the solving process as the curtailment decision is aggregated into a single generator per region. Defaults to `false`. |
-| ↳ `noisy_costs` | boolean | `true` | Add random noise to marginal cost of generators by `\mathcal{U}(0.009,0,011)` and capital cost of lines and links by `\mathcal{U}(0.09,0,11)`. |
-| ↳ `skip_iterations` | boolean | `true` | Skip iterating, do not update impedances of branches. Defaults to true. |
-| ↳ `rolling_horizon` | boolean | `false` | Switch for rule `solve_operations_network` whether to optimize the network in a rolling horizon manner, where the snapshot range is split into slices of size `horizon` which are solved consecutively. This setting has currently no effect on sector-coupled networks. |
-| ↳ `seed` | integer | `123` | Random seed for increased deterministic behaviour. |
-| ↳ `custom_extra_functionality` | string \| null | `../data/custom_extra_functionality.py` | Path to a Python file with custom extra functionality code to be injected into the solving rules of the workflow relative to `rules` directory. |
-| ↳ `io_api` | string \| null |  | Passed to linopy and determines the API used to communicate with the solver. With the `'lp'` and `'mps'` options linopy passes a file to the solver; with the `'direct'` option (only supported for HIGHS and Gurobi) linopy uses an in-memory python API resulting in better performance. |
-| ↳ `track_iterations` | boolean | `false` | Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in `network.lines['s_nom_opt_X']` (where `X` labels the iteration) |
-| ↳ `min_iterations` | integer | `2` | Minimum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run. |
-| ↳ `max_iterations` | integer | `3` | Maximum number of solving iterations in between which resistance and reactence (`x/r`) are updated for branches according to `s_nom_opt` of the previous run. |
-| ↳ `transmission_losses` | integer | `2` | Add piecewise linear approximation of transmission losses based on n tangents. Defaults to 0, which means losses are ignored. |
-| ↳ `linearized_unit_commitment` | boolean | `true` | Whether to optimise using the linearized unit commitment formulation. |
-| ↳ `horizon` | integer | `365` | Number of snapshots to consider in each iteration. Defaults to 100. |
-| ↳ `overlap` | integer | `0` | Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap. |
-| ↳ `post_discretization` | any |  | Configuration for `solving.options.post_discretization` settings. |
-| ↳↳ `enable` | boolean | `false` | Switch to enable post-discretization of the network. Disabled by default. |
-| ↳↳ `line_unit_size` | number | `1700` | Discrete unit size of lines in MW. |
-| ↳↳ `line_threshold` | number | `0.3` | The threshold relative to the discrete line unit size beyond which to round up to the next unit. |
-| ↳↳ `link_unit_size` | dict (str -> number) |  | Discrete unit size of links in MW by carrier (given in dictionary style). |
-| ↳↳ `link_threshold` | dict (str -> number) |  | The threshold relative to the discrete link unit size beyond which to round up to the next unit by carrier (given in dictionary style). |
-| ↳↳ `fractional_last_unit_size` | boolean | `false` | When true, links and lines can be built up to p_nom_max. When false, they can only be built up to a multiple of the unit size. |
-| ↳ `keep_files` | boolean | `false` | Whether to keep LPs and MPS files after solving. |
-| ↳ `store_model` | boolean | `false` | Store the linopy model to a NetCDF file after solving. Not supported with rolling_horizon. Not scenario-aware. |
-| ↳ `model_kwargs` | any |  | Configuration for `solving.options.model_kwargs` settings. |
-| ↳↳ `solver_dir` | string | `""` | Absolute path to the directory where linopy saves files. |
-| `agg_p_nom_limits` | any |  | Configuration for `solving.agg_p_nom_limits` settings. |
-| ↳ `agg_offwind` | boolean | `false` | Aggregate together all the types of offwind when writing the constraint (`offwind-all` as a carrier in the `.csv` file). Default is false. |
-| ↳ `agg_solar` | boolean | `false` | Aggregate together all the types of electric solar when writing the constraint (`solar-all` as a carrier in the `.csv` file). Default is false. |
-| ↳ `include_existing` | boolean | `false` | Take existing capacities into account when writing the constraint. Default is false. |
-| ↳ `file` | string | `data/agg_p_nom_minmax.csv` | Reference to `.csv` file specifying per carrier generator nominal capacity constraints for individual countries and planning horizons. Defaults to `data/agg_p_nom_minmax.csv`. |
-| `constraints` | any |  | Configuration for `solving.constraints` settings. |
-| ↳ `CCL` | boolean | `false` | Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at `electricity: agg_p_nom_limits` in the configuration. File defaults to `data/agg_p_nom_minmax.csv`. Does not work with a time resolution resampling. |
-| ↳ `EQ` | boolean \| string | `false` | Require each country or node to on average produce a minimal share of its total consumption itself. Example: `EQ0.5c` demands each country to produce on average at least 50% of its consumption; `EQ0.5` demands each node to produce on average at least 50% of its consumption. |
-| ↳ `BAU` | boolean | `false` | Add a per-`carrier` minimal overall capacity; i.e. at least `40GW` of `OCGT` in Europe; configured in `electricity: BAU_mincapacities` |
-| ↳ `SAFE` | boolean | `false` | Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network. |
-| `solver` | any |  | Configuration for `solving.solver` settings. |
-| ↳ `name` | string | `gurobi` | Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow. |
-| ↳ `options` | string | `gurobi-default` | Link to specific parameter settings. |
-| `solver_options` | dict (str -> object) |  | Dictionaries with solver-specific parameter settings. |
-| `check_objective` | any |  | Configuration for `solving.check_objective` settings. |
-| ↳ `enable` | boolean | `false` | Enable objective value checking. |
-| ↳ `expected_value` | number \| null |  | Expected objective value. |
-| ↳ `atol` | number | `1000000` | Absolute tolerance. |
-| ↳ `rtol` | number | `0.01` | Relative tolerance. |
-| `oetc` | any \| null |  | Configuration options for Open Energy Transition Computing (OETC) cluster support. |
-| ↳ `name` | string | `pypsa-eur` | Name identifier for the OETC job. |
-| ↳ `authentication_server_url` | string | `""` | URL of the OETC authentication server for job submission. |
-| ↳ `orchestrator_server_url` | string | `""` | URL of the OETC orchestrator server for job management. |
-| ↳ `cpu_cores` | integer | `8` | Number of CPU cores to request for the OETC job. (includes RAM amount at the moment with a factor of 8) |
-| ↳ `disk_space_gb` | integer | `50` | Amount of disk space in gigabytes to request for the OETC job. |
-| ↳ `delete_worker_on_error` | boolean | `true` | Whether to delete the worker instance when an error occurs during job execution. |
-| `mem_mb` | integer | `128000` | Estimated maximum memory requirement for solving networks (MB). |
-| `memory_logging_frequency` | integer | `5` | Interval in seconds at which memory usage is logged. |
-| `runtime` | string | `48h` | Runtime in humanfriendly style. |
+{{ schema_table("solving") }}
 
 **YAML Syntax**
 
@@ -1444,15 +1021,7 @@ See the `data/versions.csv` file for all available datasets and their sources/ve
 
 Configuration for `overpass_api` settings.
 
-| Property | Type | Default | Description |
-|----------|------|---------|-------------|
-| `url` | string | `https://overpass-api.de/api/interpreter` | Overpass API endpoint URL. See [Overpass API Wiki ](https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances) for available public instances. |
-| `max_tries` | integer | `5` | Maximum retry attempts for Overpass API requests. Please be respectful to the Overpass API fair use policy of the individual instances. |
-| `timeout` | integer | `600` | Timeout in seconds for Overpass API requests. |
-| `user_agent` | any |  | Configuration for `overpass_api.user_agent` settings. |
-| ↳ `project_name` | string | `PyPSA-Eur` | Project name used to identify the user agent of the Overpass API requests. |
-| ↳ `email` | string | `contact@pypsa.org` | Contact email address for the project using the Overpass API. |
-| ↳ `website` | string | `https://github.com/PyPSA/pypsa-eur` | Website URL for the project using the Overpass API. |
+{{ schema_table("overpass_api") }}
 
 **YAML Syntax**
 
diff --git a/doc/macros.py b/doc/macros.py
index 32031d6856..613baa49be 100644
--- a/doc/macros.py
+++ b/doc/macros.py
@@ -2,6 +2,9 @@
 #
 # SPDX-License-Identifier: MIT
 
+import json
+import re
+from functools import lru_cache
 from pathlib import Path
 
 import yaml
@@ -9,6 +12,7 @@
 ROOT = Path(__file__).resolve().parents[1]
 CONFIG_PATH = ROOT / "config" / "config.default.yaml"
 PLOTTING_CONFIG_PATH = ROOT / "config" / "plotting.default.yaml"
+SCHEMA_PATH = ROOT / "config" / "schema.default.json"
 
 
 def _dump(node):
@@ -16,6 +20,63 @@ def _dump(node):
     return text.rstrip("\n")
 
 
+def _schema_type(prop):
+    if "enum" in prop:
+        return "enum (" + ", ".join(f"`{e}`" for e in prop["enum"]) + ")"
+    if "anyOf" in prop:
+        return " \\| ".join(_schema_type(b) for b in prop["anyOf"])
+    t = prop.get("type")
+    if t == "array":
+        return "list of " + _schema_type(prop.get("items", {}))
+    if "properties" in prop:
+        return "any"
+    if t == "object":
+        ap = prop.get("additionalProperties")
+        return f"dict (str -> {_schema_type(ap)})" if isinstance(ap, dict) else "object"
+    if isinstance(t, list):
+        return " \\| ".join(t)
+    return t or "any"
+
+
+def _schema_default(prop):
+    d = prop.get("default")
+    if "default" not in prop or d is None:
+        return ""
+    if isinstance(d, bool):
+        return "`true`" if d else "`false`"
+    return '`""`' if d == "" else f"`{d}`"
+
+
+def _schema_desc(prop):
+    # collapse RST inline literals/roles left in plain descriptions to markdown
+    d = prop.get("markdownDescription", prop.get("description", ""))
+    return re.sub(r":math:`([^`]+)`|``([^`]+)``", lambda m: f"`{m[1] or m[2]}`", d)
+
+
+def _schema_children(prop):
+    branches = prop.get("anyOf", [prop])
+    return next((b["properties"] for b in branches if "properties" in b), None)
+
+
+def _schema_rows(props, depth=0):
+    prefix = "↳" * depth + (" " if depth else "")
+    rows = []
+    for key, prop in props.items():
+        rows.append(
+            f"| {prefix}`{key}` | {_schema_type(prop)} | "
+            f"{_schema_default(prop)} | {_schema_desc(prop)} |"
+        )
+        children = _schema_children(prop)
+        if children:
+            rows += _schema_rows(children, depth + 1)
+    return rows
+
+
+@lru_cache(maxsize=1)
+def _schema():
+    return json.loads(SCHEMA_PATH.read_text())
+
+
 def _resolve(data, path):
     node = data
     for part in path:
@@ -37,6 +98,21 @@ def _load(source):
             _cache[source] = yaml.safe_load(path.read_text())
         return _cache[source]
 
+    @env.macro
+    def schema_table(path):
+        """Render the config schema at ``path`` as a Property/Type/Default/Description table."""
+        node = _schema()
+        for part in path.split("."):
+            node = node["properties"][part]
+        props = node.get("properties", {})
+        if not props:
+            raise ValueError(f"schema path '{path}' has no properties to tabulate")
+        header = (
+            "| Property | Type | Default | Description |\n"
+            "|----------|------|---------|-------------|"
+        )
+        return header + "\n" + "\n".join(_schema_rows(props))
+
     @env.macro
     def yaml_section(*paths, source="config", with_key=True):
         data = _load(source)

From ca2a493fb512d0e7b30d578d96cf2240546dcb1e Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Fri, 12 Jun 2026 11:35:22 +0200
Subject: [PATCH 076/105] limit to pypsa < 1.2 (#2201)

* limit to pypsa < 1.2

* [pypsa-bot] run `sync-locks`

- `pixi run sync-locks`

---------

Co-authored-by: pypsa[bot] <181215446+pypsa[bot]@users.noreply.github.com>
---
 envs/default_linux-64.pin.txt  |  2 +-
 envs/default_osx-64.pin.txt    |  2 +-
 envs/default_osx-arm64.pin.txt |  2 +-
 envs/default_win-64.pin.txt    |  2 +-
 envs/environment.yaml          |  2 +-
 pixi.lock                      | 67 ++++++++++------------------------
 pixi.toml                      |  2 +-
 7 files changed, 25 insertions(+), 54 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 93962cecea..e79e282ed4 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -340,7 +340,7 @@ https://conda.anaconda.org/conda-forge/noarch/geopandas-base-1.1.3-pyha770c72_0.
 https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda#1fcdf88e7a8c296d3df8409bf0690db4
 https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a6997a7dcd6673c0692c61dfeaea14ab
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
-https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda#c2bf5d692a05ecbb3752ba48239aad02
+https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
 https://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2#a2e1ba950c0ec23e3ea0b915743a37e0
 https://conda.anaconda.org/conda-forge/noarch/url-normalize-3.0.0-pyhd8ed1ab_0.conda#49b01263c5348a30838ba148a30126cf
 https://conda.anaconda.org/conda-forge/linux-64/ujson-5.12.0-py312h8285ef7_0.conda#1b3fee58f527761351150b37fff40d38
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 7e96c1636d..10d4489725 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -324,7 +324,7 @@ https://conda.anaconda.org/conda-forge/noarch/geopandas-base-1.1.3-pyha770c72_0.
 https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda#1fcdf88e7a8c296d3df8409bf0690db4
 https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a6997a7dcd6673c0692c61dfeaea14ab
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
-https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda#c2bf5d692a05ecbb3752ba48239aad02
+https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
 https://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2#a2e1ba950c0ec23e3ea0b915743a37e0
 https://conda.anaconda.org/conda-forge/noarch/url-normalize-3.0.0-pyhd8ed1ab_0.conda#49b01263c5348a30838ba148a30126cf
 https://conda.anaconda.org/conda-forge/osx-64/ujson-5.12.0-py313h5fe49f0_0.conda#b02a60495480dcf035ee37d368cd67d1
diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 4b87864803..c5020477ce 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -324,7 +324,7 @@ https://conda.anaconda.org/conda-forge/noarch/geopandas-base-1.1.3-pyha770c72_0.
 https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda#1fcdf88e7a8c296d3df8409bf0690db4
 https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a6997a7dcd6673c0692c61dfeaea14ab
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
-https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda#c2bf5d692a05ecbb3752ba48239aad02
+https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
 https://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2#a2e1ba950c0ec23e3ea0b915743a37e0
 https://conda.anaconda.org/conda-forge/noarch/url-normalize-3.0.0-pyhd8ed1ab_0.conda#49b01263c5348a30838ba148a30126cf
 https://conda.anaconda.org/conda-forge/osx-arm64/ujson-5.12.0-py313h1188861_0.conda#6dddc59ece85e54bc5d6b9c59b32516f
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 04f11166fc..e92adbda0a 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -328,7 +328,7 @@ https://conda.anaconda.org/conda-forge/noarch/geopandas-base-1.1.3-pyha770c72_0.
 https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda#1fcdf88e7a8c296d3df8409bf0690db4
 https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda#a6997a7dcd6673c0692c61dfeaea14ab
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.1.3-pyhd8ed1ab_0.conda#4eb8b870142ca06d2a1d2c74662eac7d
-https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda#c2bf5d692a05ecbb3752ba48239aad02
+https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda#658fdb0a50c41f214553706c4d702195
 https://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2#a2e1ba950c0ec23e3ea0b915743a37e0
 https://conda.anaconda.org/conda-forge/noarch/url-normalize-3.0.0-pyhd8ed1ab_0.conda#49b01263c5348a30838ba148a30126cf
 https://conda.anaconda.org/conda-forge/win-64/ujson-5.12.0-py313h927ade5_0.conda#9c214e74272ac575b735074891fb0130
diff --git a/envs/environment.yaml b/envs/environment.yaml
index 2603fadf4d..df666a3971 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -40,7 +40,7 @@ dependencies:
 - python-dotenv >=1.0
 - proj >=9.6.2
 - pydeck >0.6
-- pypsa >=0.35.2
+- pypsa <1.2
 - pyscipopt >=5.6.0
 - pytables >=3.10.2
 - python >=3.10
diff --git a/pixi.lock b/pixi.lock
index 83012e9495..8d96e89108 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -489,7 +489,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -737,7 +737,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -1225,7 +1225,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -1710,7 +1710,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.12.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -2552,7 +2552,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.13.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.9-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -2850,7 +2850,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.13.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.9-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -3392,7 +3392,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.13.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.9-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -3929,7 +3929,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyjwt-2.13.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.9-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -6499,7 +6499,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -6812,7 +6812,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -7375,7 +7375,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -7934,7 +7934,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pylint-4.0.5-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.0.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
@@ -18601,9 +18601,9 @@ packages:
   license_family: MIT
   size: 220834
   timestamp: 1762426425913
-- conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.0-pyhd8ed1ab_0.conda
-  sha256: 2e48710ed05ec96587cce9a5f7d17bb47ba0bdd80c19257ef26fa69e5fe617db
-  md5: c2bf5d692a05ecbb3752ba48239aad02
+- conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
+  sha256: 60c71d1f6b0ee8bbc0bd7b58f6e842745ecdc0042cc8e1b95057282f28219ee3
+  md5: 658fdb0a50c41f214553706c4d702195
   depends:
   - deprecation
   - geopandas >=0.9
@@ -18611,39 +18611,10 @@ packages:
   - levenshtein >=0.27.1
   - linopy >=0.6.1
   - matplotlib-base
-  - netcdf4
-  - networkx >=2
-  - numpy
-  - pandas >=2.0
-  - platformdirs
-  - plotly
-  - pydeck >=0.6
-  - pytables
-  - python >=3.11
-  - scipy
-  - seaborn
-  - shapely
-  - validators
-  - xarray <2026.4
-  license: MIT
-  license_family: MIT
-  size: 248937
-  timestamp: 1776863182970
-- conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.2.1-pyhd8ed1ab_0.conda
-  sha256: a4262b3aaea788d259422721ea1a6aecbbc7d2a13fbacf7784adae9920f2b4d2
-  md5: 0eaee053535b142b952b44f48ee24c02
-  depends:
-  - deprecation
-  - geopandas >=0.9
-  - highspy
-  - levenshtein >=0.27.1
-  - linopy >=0.6.1
-  - matplotlib-base
-  - netcdf4
+  - netcdf4 !=1.7.4
   - networkx >=2
   - numpy
   - pandas >=2.0
-  - platformdirs
   - plotly
   - pydeck >=0.6
   - pytables
@@ -18652,11 +18623,11 @@ packages:
   - seaborn
   - shapely
   - validators
-  - xarray <2026.4
+  - xarray
   license: MIT
   license_family: MIT
-  size: 248920
-  timestamp: 1779193307806
+  size: 242307
+  timestamp: 1772004090295
 - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.3-pyhd8ed1ab_0.conda
   sha256: d9a0be08f14d5d513611f9902affb49ca3ed72e05509d15d3cdf1970a84b9233
   md5: c138c7aaa6a10b5762dcd92247864aff
diff --git a/pixi.toml b/pixi.toml
index 6d9bf24f08..87abd886a5 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -82,7 +82,7 @@ pydantic = ">=2"
 python-dotenv = ">=1.0"
 proj = ">=9.6.2"
 pydeck = ">0.6"  # pypsa fails to import with pydeck <0.6, lower bound was only added from pypsa 1.0.6
-pypsa = ">=0.35.2"
+pypsa = "<1.2"
 pyscipopt = ">=5.6.0"
 pytables = ">=3.10.2"
 python = ">=3.10"

From c48ef62b09d884bb14b5c652112b349813caac1c Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 12 Jun 2026 12:18:42 +0000
Subject: [PATCH 077/105] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 rules/report.smk | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/rules/report.smk b/rules/report.smk
index 3e2dc15635..e514d60f1c 100755
--- a/rules/report.smk
+++ b/rules/report.smk
@@ -4,15 +4,15 @@
 
 
 rule report:
-    message:
-        "Compile report."
-    params:
-        fn="report",
     input:
         tex="report/report.tex",
         bib="report/references.bib",
     output:
         "report/report.pdf",
+    params:
+        fn="report",
+    message:
+        "Compile report."
     shell:
         """
         pdflatex -output-directory report {input.tex}

From 655170182a3c86405728ce1070627317635c1d0e Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Fri, 12 Jun 2026 14:31:58 +0200
Subject: [PATCH 078/105] chore: update environment

---
 pixi.lock | 7840 +++++++++++++++++++----------------------------------
 1 file changed, 2804 insertions(+), 5036 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 8d96e89108..4453715643 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -13,23 +13,22 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.6.1-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.7.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyhdfd78af_1.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.21.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.22.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.5-py312h5d8c7f2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
@@ -53,40 +52,39 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-hf824e48_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.13.0-ha7a2c86_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h539c000_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py312h90b7ffd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py313h18e8e13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py312hfb8c2c5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.0.2-hc31b594_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.1.2-hc31b594_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py312hf79963d_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py312h4f23490_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py313h08cd8bf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.10-hc46dffc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.11-hc03379b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.12-hf4fecb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py312h0a2e395_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py313hc8edb43_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-48.0.0-py313heb322e3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py312h4c3975b_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py313h07c4f96_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.46.0-h83bc92c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py312h053e1f3_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.17.1-h27c8c51_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.63.0-py312h8a5da7c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py313hae45665_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.18.1-h27c8c51_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.63.0-py313h3dea7bd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freeglut-3.2.2-h215f996_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.14.3-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h9dce30a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py312h447239a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.6-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geos-3.14.1-h480dda7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
@@ -95,33 +93,33 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glpk-5.0-h445213a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py312h03f33d3_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.15-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.0-py312h8285ef7_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py312h6f3464c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.1-py313h5d5ffb9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.52-ha5ea40c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
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   license: BSD-3-Clause AND MIT AND EPL-2.0
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+  - shapely >=2.0
+  license: BSD-3-Clause
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+  - python_abi 3.13.* *_cp313
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   - numpy >=1.24
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   - typing_extensions
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   license_family: MIT
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-  timestamp: 1764782491676
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@@ -13032,6 +12746,22 @@ packages:
   license_family: MIT
   size: 214944
   timestamp: 1778498659910
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+  - python_abi 3.13.* *_cp313
+  license: MIT
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   license: BSD-3-Clause
   license_family: BSD
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   size: 476128
   timestamp: 1769122092500
+- conda: https://conda.anaconda.org/conda-forge/linux-64/openpyxl-3.1.5-py313ha4be090_3.conda
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+  - python_abi 3.13.* *_cp313
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   license: BSD-3-Clause
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.9.0.2-ha770c72_0.conda
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   license: GPL-2.0-or-later
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pillow-12.2.0-py313h80991f8_0.conda
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+  - python_abi 3.13.* *_cp313
+  - zlib-ng >=2.3.3,<2.4.0a0
+  - openjpeg >=2.5.4,<3.0a0
+  - lcms2 >=2.18,<3.0a0
+  license: HPND
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   timestamp: 1754665235234
-- conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.40.1-py310h49dadd8_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.41.2-py310h49dadd8_0.conda
   noarch: python
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   license: Apache-2.0
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py313hf1034c9_3.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-23.0.0-py312h7900ff3_0.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: Apache-2.0
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+  - python >=3.13,<3.14.0a0
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   license: Apache-2.0
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+  - libgcc >=14
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-  - xcb-util-image
-  - xcb-util-renderutil
-  - xcb-util-cursor
-  - libgl-devel
-  - libegl-devel
-  - __glibc >=2.17,<3.0.a0
-  - libstdcxx >=14
-  - libgcc >=14
-  - libjpeg-turbo >=3.1.4.1,<4.0a0
-  - alsa-lib >=1.2.15.3,<1.3.0a0
-  - xcb-util-renderutil >=0.3.10,<0.4.0a0
-  - xorg-libxcursor >=1.2.3,<2.0a0
-  - double-conversion >=3.4.0,<3.5.0a0
-  - dbus >=1.16.2,<2.0a0
-  - libglib >=2.88.1,<3.0a0
-  - libsqlite >=3.53.1,<4.0a0
-  - xorg-libx11 >=1.8.13,<2.0a0
-  - krb5 >=1.22.2,<1.23.0a0
-  - libdrm >=2.4.125,<2.5.0a0
-  - xorg-libxext >=1.3.7,<2.0a0
-  - libwebp-base >=1.6.0,<2.0a0
-  - harfbuzz >=14.2.0
-  - xorg-libice >=1.1.2,<2.0a0
-  - xorg-libxdamage >=1.1.6,<2.0a0
+  - pcre2 >=10.47,<10.48.0a0
   - libbrotlicommon >=1.2.0,<1.3.0a0
   - libbrotlienc >=1.2.0,<1.3.0a0
   - libbrotlidec >=1.2.0,<1.3.0a0
+  - fontconfig >=2.18.1,<3.0a0
+  - fonts-conda-ecosystem
+  - xorg-libxxf86vm >=1.1.7,<2.0a0
   - xorg-libxrandr >=1.5.5,<2.0a0
-  - xcb-util-image >=0.4.0,<0.5.0a0
+  - libsqlite >=3.53.2,<4.0a0
+  - libpq >=18.4,<19.0a0
+  - xorg-libice >=1.1.2,<2.0a0
+  - libtiff >=4.7.1,<4.8.0a0
   - libfreetype >=2.14.3
   - libfreetype6 >=2.14.3
-  - xorg-libxcomposite >=0.4.7,<1.0a0
-  - openssl >=3.5.6,<4.0a0
-  - xcb-util-cursor >=0.1.6,<0.2.0a0
+  - wayland >=1.25.0,<2.0a0
+  - libzlib >=1.3.2,<2.0a0
   - libvulkan-loader >=1.4.341.0,<2.0a0
-  - pcre2 >=10.47,<10.48.0a0
-  - xorg-libxxf86vm >=1.1.7,<2.0a0
-  - icu >=78.3,<79.0a0
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+  - xcb-util-keysyms >=0.4.1,<0.5.0a0
+  - libpng >=1.6.58,<1.7.0a0
+  - harfbuzz >=14.2.1
+  - xcb-util-cursor >=0.1.6,<0.2.0a0
+  - xorg-libxcursor >=1.2.3,<2.0a0
+  - libcups >=2.3.3,<2.4.0a0
   - libxcb >=1.17.0,<2.0a0
-  - wayland >=1.25.0,<2.0a0
-  - xorg-libsm >=1.2.6,<2.0a0
-  - libtiff >=4.7.1,<4.8.0a0
-  - libpq >=18.3,<19.0a0
-  - libegl >=1.7.0,<2.0a0
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+  - libdrm >=2.4.127,<2.5.0a0
+  - xorg-libxcomposite >=0.4.7,<1.0a0
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   - xcb-util-wm >=0.4.2,<0.5.0a0
-  - xcb-util-keysyms >=0.4.1,<0.5.0a0
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   - zstd >=1.5.7,<1.6.0a0
-  - fontconfig >=2.17.1,<3.0a0
-  - fonts-conda-ecosystem
+  - krb5 >=1.22.2,<1.23.0a0
+  - xcb-util-renderutil >=0.3.10,<0.4.0a0
+  - icu >=78.3,<79.0a0
+  - xorg-libxdamage >=1.1.6,<2.0a0
+  - xorg-libsm >=1.2.6,<2.0a0
+  - alsa-lib >=1.2.16,<1.3.0a0
+  - openssl >=3.5.6,<4.0a0
+  - libglib >=2.88.1,<3.0a0
+  - libgl >=1.7.0,<2.0a0
+  - libxkbcommon >=1.13.2,<2.0a0
+  - libwebp-base >=1.6.0,<2.0a0
+  - double-conversion >=3.4.0,<3.5.0a0
+  - dbus >=1.16.2,<2.0a0
   - xorg-libxtst >=1.2.5,<2.0a0
+  - libegl >=1.7.0,<2.0a0
   - libxml2
   - libxml2-16 >=2.14.6
-  - libzlib >=1.3.2,<2.0a0
-  - libpng >=1.6.58,<1.7.0a0
-  - libcups >=2.3.3,<2.4.0a0
-  - libgl >=1.7.0,<2.0a0
-  - xcb-util >=0.4.1,<0.5.0a0
   constrains:
   - qt ==6.11.1
   license: LGPL-3.0-only
   license_family: LGPL
-  size: 60185269
-  timestamp: 1778597122245
+  size: 60185421
+  timestamp: 1780593127053
 - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.9.2-h3fc9a0a_0.conda
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   md5: 70b5132b6e8a65198c2f9d5552c41126
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   timestamp: 1775565638201
-- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h021bea1_1.conda
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-  md5: 9d8c34febd2fe058fd011f078a765f09
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.5-py313h7033f15_0.conda
+  sha256: ad0a626306a6e2ed0ecf46c3f35b8cd1b4185f775484ac078bce98875bfa6795
+  md5: 9f30bfd963fa532a324c4b1e3b7bdcbf
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+  - libgcc >=14
+  - libstdcxx >=14
+  - numpy
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  size: 2142576
+  timestamp: 1775565656623
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h1df8778_2.conda
+  sha256: 59d5a8797f48a06b2ebbc71002093843b652dea5ad35c8ebc6ab7383ea8a9b70
+  md5: a130de9fec7b062ce793dca872fcb622
   depends:
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   - affine
   - attrs
   - certifi
-  - click >=4
+  - click >=4,!=8.2.*
   - click-plugins
   - cligj >=0.5
-  - libgcc >=13
-  - libgdal-core >=3.10.2,<3.11.0a0
-  - libstdcxx >=13
-  - numpy >=1.21,<3
-  - proj >=9.6.0,<9.7.0a0
+  - libgcc >=14
+  - libgdal-core <3.11
+  - libgdal-core >=3.10.3,<3.11.0a0
+  - libstdcxx >=14
+  - numpy >=1.23,<3
+  - proj >=9.6.2,<9.7.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - setuptools >=0.9.8
   - snuggs >=1.4.1
   license: BSD-3-Clause
   license_family: BSD
-  size: 7969647
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py312hcedc861_0.conda
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-  md5: f0d110978a87b200a06412b56b26407c
+  size: 8069040
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda
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@@ -14260,14 +13944,14 @@ packages:
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   - proj >=9.7.1,<9.8.0a0
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   - setuptools >=0.9.8
   - snuggs >=1.4.1
   license: BSD-3-Clause
   license_family: BSD
-  size: 8133020
-  timestamp: 1767632791843
+  size: 7963754
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2025.11.05-h5301d42_0.conda
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   md5: 0227d04521bc3d28c7995c7e1f99a721
@@ -14288,20 +13972,6 @@ packages:
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.30.0-py312h868fb18_0.conda
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-  license: MIT
-  license_family: MIT
-  size: 383750
-  timestamp: 1764543174231
 - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-2026.5.1-py312h192e038_0.conda
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   timestamp: 1779976992617
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py312h5253ce2_1.conda
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-  md5: 84aa470567e2211a2f8e5c8491cdd78c
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-2026.5.1-py313hafbe609_0.conda
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+  md5: 335b86e1a00e5edd05c5172ddc524919
   depends:
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   - libgcc >=14
-  - python_abi 3.12.* *_cp312
+  - python_abi 3.13.* *_cp313
+  constrains:
+  - __glibc >=2.17
   license: MIT
   license_family: MIT
-  size: 148221
-  timestamp: 1766159515069
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.12-h994f30f_0.conda
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-  md5: 3c8f229055ad244fa3a97c6c45b77099
+  size: 311167
+  timestamp: 1779976991134
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py313h54dd161_1.conda
+  sha256: e7655f12e29add10ef6842ca7e06167fc326903f32b0a9e62f464afda4e0d3d1
+  md5: ef8c7c9f4ea478806d9056bbc9c9c093
   depends:
   - python
-  - libgcc >=14
   - __glibc >=2.17,<3.0.a0
-  constrains:
-  - __glibc >=2.17
+  - libgcc >=14
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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-  timestamp: 1778119386343
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.14-h994f30f_0.conda
+  size: 149946
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.16-h6a952e8_0.conda
   noarch: python
-  sha256: 787f6608c4d23abe735875cfcfe316790e06ba43654ff269a43b920e83482bbe
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+  sha256: 8b0f50a439826eedfcd2741985aa55d8af7d281a4cebde7a8c2ceda6bbeb1bc4
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   depends:
   - python
-  - __glibc >=2.17,<3.0.a0
   - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
   constrains:
   - __glibc >=2.17
   license: MIT
   license_family: MIT
-  size: 9340598
-  timestamp: 1779388159173
+  size: 9192459
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
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@@ -14397,25 +14067,26 @@ packages:
   license_family: BSD
   size: 9694630
   timestamp: 1757406448831
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py312h3226591_1.conda
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-  md5: 38decbeae260892040709cafc0514162
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.9.0-np2py313h16d504d_0.conda
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+  md5: 79dc96526e178928df7363e80169e8c4
   depends:
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   - scipy >=1.10.0
-  - joblib >=1.3.0
-  - threadpoolctl >=3.2.0
-  - libgcc >=14
+  - joblib >=1.4.0
+  - threadpoolctl >=3.5.0
+  - narwhals >=2.0.1
   - __glibc >=2.17,<3.0.a0
-  - libstdcxx >=14
+  - libgcc >=14
   - _openmp_mutex >=4.5
+  - libstdcxx >=14
+  - python_abi 3.13.* *_cp313
   - numpy >=1.23,<3
-  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 9726193
-  timestamp: 1765801245538
+  size: 10208137
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/scip-10.0.2-hbf6308b_0.conda
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   md5: 4169674254e087f3473032f646ed81b0
@@ -14435,9 +14106,9 @@ packages:
   license: Apache-2.0 AND LGPL-3.0-or-later AND EPL-1.0 and MIT and Zlib and BSL-1.0 and HPND
   size: 16233924
   timestamp: 1775217740722
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_0.conda
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-  md5: 3e38daeb1fb05a95656ff5af089d2e4c
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda
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+  md5: 15995ecb2ef890778ba9a3750190f09d
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   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 17109648
-  timestamp: 1771880675810
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda
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-  md5: 15995ecb2ef890778ba9a3750190f09d
+  size: 16828243
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py313h4b8bb8b_1.conda
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@@ -14471,12 +14142,12 @@ packages:
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   - numpy >=1.23,<3
   - numpy >=1.25.2
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 16828243
-  timestamp: 1779874781187
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.7-py312h21f5128_1.conda
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   md5: 98d83a309c3f330793a7cc8d48c67f81
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   timestamp: 1741167094882
-- conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py312h383787d_2.conda
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-  md5: 69e400d3deca12ee7afd4b73a5596905
+- conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda
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+  md5: 6e550dd748e9ac9b2925411684e076a1
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
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   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/simplejson-4.1.1-py312h4c3975b_0.conda
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+  - python >=3.13,<3.14.0a0
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   license: MIT
   license_family: MIT
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   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.14-hbd3f8a3_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.16-h80928e0_0.conda
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+  - llvm-openmp >=19.1.7
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   - numpy >=1.23,<3
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   license: BSD-3-Clause
   license_family: BSD
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   license: LGPL-3.0-only
   license_family: LGPL
-  size: 89576147
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-- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.4.3-py312ha172ac9_1.conda
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-  - numpy >=1.21,<3
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+  - numpy >=1.23,<3
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   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vc >=14.3,<15
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   license: BSD-3-Clause
   license_family: BSD
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-  license: MIT
-  license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.14-hd7ccaa8_0.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.16-h45713df_0.conda
   noarch: python
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   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.1-py313he51e9a2_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_36.conda
-  sha256: 0cd5b905ab2b5e9fcb170fe8801b64917effef8e3a73ffd9b2cc4c3ee387f09c
-  md5: 4aa1884260877bd57d16070d20271e2d
-  depends:
-  - ucrt >=10.0.20348.0
-  constrains:
-  - vs2015_runtime 14.44.35208.* *_36
-  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
-  license_family: Proprietary
-  size: 115995
-  timestamp: 1778688058077
 - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_38.conda
   sha256: c645fdc1f0f47718431d973386e946754a10200e7ba2c32032560913a970cacd
   md5: 63ee70d69d7540e821940dac5d4d9ba2
@@ -36841,15 +34673,6 @@ packages:
   license_family: Proprietary
   size: 123561
   timestamp: 1780005858779
-- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_36.conda
-  sha256: 458bcc4a857b6741692fec978646a4b2d8f54119daad6c89838fe831cafba43d
-  md5: 7a79d40a33f3e3ddfc9a603fb3cb8647
-  depends:
-  - vc14_runtime >=14.44.35208
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 19982
-  timestamp: 1778688080463
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.51.36231-h84cd919_38.conda
   sha256: c4f38268563dc6b8322b0191481e5d20002fc6e37b076c15e0b955a553c8b4a0
   md5: 6033851d921b6c33f1c3018205fcba6a
@@ -37022,32 +34845,6 @@ packages:
   license_family: MIT
   size: 918674
   timestamp: 1731861024233
-- conda: https://conda.anaconda.org/conda-forge/win-64/xz-5.8.3-hb6c8415_0.conda
-  sha256: 2c34f766619921fd543095f26a2688b845fe2cb372b71488d232ad3612630bb7
-  md5: 46f70d503d68c55c104a564928a39852
-  depends:
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-  - liblzma-devel 5.8.3 hfd05255_0
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - xz-tools 5.8.3 hfd05255_0
-  license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
-  size: 24697
-  timestamp: 1775825746585
-- conda: https://conda.anaconda.org/conda-forge/win-64/xz-tools-5.8.3-hfd05255_0.conda
-  sha256: 96b8212ff33dd8a1df8c0f69c0ad7b3551496c3068576408c0bedf9260febae2
-  md5: 01b20ff45704b888d218f31a3aa3ea2a
-  depends:
-  - liblzma 5.8.3 hfd05255_0
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  constrains:
-  - xz 5.8.3.*
-  license: 0BSD AND LGPL-2.1-or-later
-  size: 68149
-  timestamp: 1775825719953
 - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h6a83c73_3.conda
   sha256: 80ee68c1e7683a35295232ea79bcc87279d31ffeda04a1665efdb43cbd50a309
   md5: 433699cba6602098ae8957a323da2664
@@ -37062,9 +34859,9 @@ packages:
   license_family: MIT
   size: 63944
   timestamp: 1753484092156
-- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py312h05f76fc_0.conda
-  sha256: 747cbb8b9da725c58ae3800f38b161f96297a557a19211ea39069805042bbe80
-  md5: f724e37e0f0dd67a460d882791adbe5b
+- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.24.2-py312h05f76fc_0.conda
+  sha256: cd91174742137ccc24566596e516a6505e99adf7fd93d45b61dea51cb82f8805
+  md5: 0871bb7bdf76fe114373f2e8012ebd83
   depends:
   - idna >=2.0
   - multidict >=4.0
@@ -37076,24 +34873,8 @@ packages:
   - vc14_runtime >=14.44.35208
   license: Apache-2.0
   license_family: Apache
-  size: 143691
-  timestamp: 1772409484963
-- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py313hd650c13_0.conda
-  sha256: 35f7e545786adcfc8e202ade617eeeece47d0df7b6221377361d7acee554e3ca
-  md5: beb407255f9c46aedfb3712a7a5c8554
-  depends:
-  - idna >=2.0
-  - multidict >=4.0
-  - propcache >=0.2.1
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: Apache-2.0
-  license_family: Apache
-  size: 145238
-  timestamp: 1772409478751
+  size: 151702
+  timestamp: 1779246206775
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
   sha256: c3e279cb309b153152fcdd6ee6d039ad996d563c849f06be39d85b8e3351df25
   md5: f016c0c5f9c01549b259146614786192
@@ -37107,19 +34888,6 @@ packages:
   license_family: MOZILLA
   size: 265717
   timestamp: 1779124031378
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
-  sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
-  md5: 1ab0237036bfb14e923d6107473b0021
-  depends:
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - libsodium >=1.0.21,<1.0.22.0a0
-  - krb5 >=1.22.2,<1.23.0a0
-  license: MPL-2.0
-  license_family: MOZILLA
-  size: 265665
-  timestamp: 1772476832995
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
   sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
   md5: 5187ecf958be3c39110fe691cbd6873e
@@ -37174,15 +34942,15 @@ packages:
   license_family: BSD
   size: 388453
   timestamp: 1764777142545
-- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py312_0.conda
-  sha256: 77be05ce932373efe674d0bb31690d4a03d15d19f7880218bfe9d1030e6da486
-  md5: 732df74126bc3cc24b6564899df74f23
+- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py313_0.conda
+  sha256: 74602086c20e39c93201a478044b31e03cdb2671845d7254496ce83083cdb071
+  md5: 436867ff5e2f9a932466998b4c6bc098
   depends:
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: PROPRIETARY
-  size: 48125269
-  timestamp: 1777597181837
+  size: 48107731
+  timestamp: 1777597523361
 - conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py313_0.conda
   sha256: b3b378465c090ed666576da4de3dc02cdb66c1bb8ecd3f17bdfd92ef39bcb2b9
   md5: 648a03b9ed4568deaf050b65cb8f2d49

From 7ca2e38a988c06b54e96a0c5c7eb886f3cd73ecf Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Fri, 12 Jun 2026 14:37:20 +0200
Subject: [PATCH 079/105] Revert "chore: update environment"

This reverts commit 655170182a3c86405728ce1070627317635c1d0e.
---
 pixi.lock | 7840 ++++++++++++++++++++++++++++++++++-------------------
 1 file changed, 5036 insertions(+), 2804 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 4453715643..8d96e89108 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -13,22 +13,23 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.7.1-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.6.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyhdfd78af_1.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.22.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.21.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.5-py312h5d8c7f2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
@@ -52,39 +53,40 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-hf824e48_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.13.0-ha7a2c86_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h539c000_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py313h18e8e13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py312h90b7ffd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py313hc18bace_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py312hfb8c2c5_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.1.2-hc31b594_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.0.2-hc31b594_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py313h08cd8bf_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py313h29aa505_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py312hf79963d_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.5-py312h4f23490_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.12-hf4fecb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-48.0.0-py313heb322e3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py312h0a2e395_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py313h07c4f96_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py312h4c3975b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.46.0-h83bc92c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py313hae45665_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.18.1-h27c8c51_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.63.0-py313h3dea7bd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py312h053e1f3_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.17.1-h27c8c51_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.63.0-py312h8a5da7c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freeglut-3.2.2-h215f996_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.14.3-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h9dce30a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py312h447239a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.6-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geos-3.14.1-h480dda7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
@@ -93,33 +95,33 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glpk-5.0-h445213a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py313h74173ec_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.15-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py312h03f33d3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py313h2b3948d_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.0-py312h8285ef7_0.conda
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   timestamp: 1778269025089
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   license_family: MIT
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   license: BSD-3-Clause
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.41.2-py310h49dadd8_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.40.1-py310h49dadd8_0.conda
   noarch: python
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+  - python >=3.12,<3.13.0a0
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+  - __glibc >=2.17,<3.0.a0
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-  - xcb-util-renderutil >=0.3.10,<0.4.0a0
-  - icu >=78.3,<79.0a0
-  - xorg-libxdamage >=1.1.6,<2.0a0
+  - libcups >=2.3.3,<2.4.0a0
+  - xorg-libx11 >=1.8.13,<2.0a0
+  - libpng >=1.6.58,<1.7.0a0
+  - xorg-libxtst >=1.2.5,<2.0a0
+  - xorg-libice >=1.1.2,<2.0a0
+  - xorg-libxrandr >=1.5.5,<2.0a0
+  - libbrotlicommon >=1.2.0,<1.3.0a0
+  - libbrotlienc >=1.2.0,<1.3.0a0
+  - libbrotlidec >=1.2.0,<1.3.0a0
+  - xcb-util-cursor >=0.1.6,<0.2.0a0
+  - libxml2
+  - libxml2-16 >=2.14.6
   - xorg-libsm >=1.2.6,<2.0a0
-  - alsa-lib >=1.2.16,<1.3.0a0
-  - openssl >=3.5.6,<4.0a0
-  - libglib >=2.88.1,<3.0a0
-  - libgl >=1.7.0,<2.0a0
-  - libxkbcommon >=1.13.2,<2.0a0
-  - libwebp-base >=1.6.0,<2.0a0
+  - libpq >=18.3,<19.0a0
+  - libglib >=2.86.4,<3.0a0
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+  - qt ==6.11.0
+  license: LGPL-3.0-only
+  license_family: LGPL
+  size: 59928585
+  timestamp: 1776322501700
+- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.1-pl5321h16c4a6b_0.conda
+  sha256: 787d9a8eb7bb993e4a543901b8edade35c1c8e75d67cadb65c56a8f9c38119a5
+  md5: cdae26862f9e4c674b8443fd267f2401
+  depends:
+  - libxcb
+  - xcb-util
+  - xcb-util-wm
+  - xcb-util-keysyms
+  - xcb-util-image
+  - xcb-util-renderutil
+  - xcb-util-cursor
+  - libgl-devel
+  - libegl-devel
+  - __glibc >=2.17,<3.0.a0
+  - libstdcxx >=14
+  - libgcc >=14
+  - libjpeg-turbo >=3.1.4.1,<4.0a0
+  - alsa-lib >=1.2.15.3,<1.3.0a0
+  - xcb-util-renderutil >=0.3.10,<0.4.0a0
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   - double-conversion >=3.4.0,<3.5.0a0
   - dbus >=1.16.2,<2.0a0
-  - xorg-libxtst >=1.2.5,<2.0a0
+  - libglib >=2.88.1,<3.0a0
+  - libsqlite >=3.53.1,<4.0a0
+  - xorg-libx11 >=1.8.13,<2.0a0
+  - krb5 >=1.22.2,<1.23.0a0
+  - libdrm >=2.4.125,<2.5.0a0
+  - xorg-libxext >=1.3.7,<2.0a0
+  - libwebp-base >=1.6.0,<2.0a0
+  - harfbuzz >=14.2.0
+  - xorg-libice >=1.1.2,<2.0a0
+  - xorg-libxdamage >=1.1.6,<2.0a0
+  - libbrotlicommon >=1.2.0,<1.3.0a0
+  - libbrotlienc >=1.2.0,<1.3.0a0
+  - libbrotlidec >=1.2.0,<1.3.0a0
+  - xorg-libxrandr >=1.5.5,<2.0a0
+  - xcb-util-image >=0.4.0,<0.5.0a0
+  - libfreetype >=2.14.3
+  - libfreetype6 >=2.14.3
+  - xorg-libxcomposite >=0.4.7,<1.0a0
+  - openssl >=3.5.6,<4.0a0
+  - xcb-util-cursor >=0.1.6,<0.2.0a0
+  - libvulkan-loader >=1.4.341.0,<2.0a0
+  - pcre2 >=10.47,<10.48.0a0
+  - xorg-libxxf86vm >=1.1.7,<2.0a0
+  - icu >=78.3,<79.0a0
+  - libxcb >=1.17.0,<2.0a0
+  - wayland >=1.25.0,<2.0a0
+  - xorg-libsm >=1.2.6,<2.0a0
+  - libtiff >=4.7.1,<4.8.0a0
+  - libpq >=18.3,<19.0a0
   - libegl >=1.7.0,<2.0a0
+  - xcb-util-wm >=0.4.2,<0.5.0a0
+  - xcb-util-keysyms >=0.4.1,<0.5.0a0
+  - libxkbcommon >=1.13.1,<2.0a0
+  - zstd >=1.5.7,<1.6.0a0
+  - fontconfig >=2.17.1,<3.0a0
+  - fonts-conda-ecosystem
+  - xorg-libxtst >=1.2.5,<2.0a0
   - libxml2
   - libxml2-16 >=2.14.6
+  - libzlib >=1.3.2,<2.0a0
+  - libpng >=1.6.58,<1.7.0a0
+  - libcups >=2.3.3,<2.4.0a0
+  - libgl >=1.7.0,<2.0a0
+  - xcb-util >=0.4.1,<0.5.0a0
   constrains:
   - qt ==6.11.1
   license: LGPL-3.0-only
   license_family: LGPL
-  size: 60185421
-  timestamp: 1780593127053
+  size: 60185269
+  timestamp: 1778597122245
 - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.9.2-h3fc9a0a_0.conda
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   md5: 70b5132b6e8a65198c2f9d5552c41126
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   timestamp: 1775565638201
-- conda: https://conda.anaconda.org/conda-forge/linux-64/rapidfuzz-3.14.5-py313h7033f15_0.conda
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-  - libgcc >=14
-  - libstdcxx >=14
-  - numpy
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-  - python_abi 3.13.* *_cp313
-  license: MIT
-  license_family: MIT
-  size: 2142576
-  timestamp: 1775565656623
-- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h1df8778_2.conda
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-  md5: a130de9fec7b062ce793dca872fcb622
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.4.3-py312h021bea1_1.conda
+  sha256: 3db032cfa8af19dc3afabf03880558d9d358b18fb95b9874fe99638e3ba6ce5d
+  md5: 9d8c34febd2fe058fd011f078a765f09
   depends:
   - __glibc >=2.17,<3.0.a0
   - affine
   - attrs
   - certifi
-  - click >=4,!=8.2.*
+  - click >=4
   - click-plugins
   - cligj >=0.5
-  - libgcc >=14
-  - libgdal-core <3.11
-  - libgdal-core >=3.10.3,<3.11.0a0
-  - libstdcxx >=14
-  - numpy >=1.23,<3
-  - proj >=9.6.2,<9.7.0a0
+  - libgcc >=13
+  - libgdal-core >=3.10.2,<3.11.0a0
+  - libstdcxx >=13
+  - numpy >=1.21,<3
+  - proj >=9.6.0,<9.7.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - setuptools >=0.9.8
   - snuggs >=1.4.1
   license: BSD-3-Clause
   license_family: BSD
-  size: 8069040
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py313h2005660_0.conda
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-  md5: d551bd1d2fcfac36674dbe2be4b0a410
+  size: 7969647
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.5.0-py312hcedc861_0.conda
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+  md5: f0d110978a87b200a06412b56b26407c
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   - affine
@@ -13944,14 +14260,14 @@ packages:
   - libstdcxx >=14
   - numpy >=1.23,<3
   - proj >=9.7.1,<9.8.0a0
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   - setuptools >=0.9.8
   - snuggs >=1.4.1
   license: BSD-3-Clause
   license_family: BSD
-  size: 7963754
-  timestamp: 1767632879247
+  size: 8133020
+  timestamp: 1767632791843
 - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2025.11.05-h5301d42_0.conda
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   md5: 0227d04521bc3d28c7995c7e1f99a721
@@ -13972,6 +14288,20 @@ packages:
   license_family: GPL
   size: 345073
   timestamp: 1765813471974
+- conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.30.0-py312h868fb18_0.conda
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+  md5: 3ffc5a3572db8751c2f15bacf6a0e937
+  depends:
+  - python
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - python_abi 3.12.* *_cp312
+  constrains:
+  - __glibc >=2.17
+  license: MIT
+  license_family: MIT
+  size: 383750
+  timestamp: 1764543174231
 - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-2026.5.1-py312h192e038_0.conda
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   timestamp: 1779976992617
-- conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-2026.5.1-py313hafbe609_0.conda
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-  md5: 335b86e1a00e5edd05c5172ddc524919
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py312h5253ce2_1.conda
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+  md5: 84aa470567e2211a2f8e5c8491cdd78c
   depends:
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   - libgcc >=14
-  - python_abi 3.13.* *_cp313
-  constrains:
-  - __glibc >=2.17
+  - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
-  size: 311167
-  timestamp: 1779976991134
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.15-py313h54dd161_1.conda
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+  size: 148221
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.12-h994f30f_0.conda
+  noarch: python
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+  md5: 3c8f229055ad244fa3a97c6c45b77099
   depends:
   - python
-  - __glibc >=2.17,<3.0.a0
   - libgcc >=14
-  - python_abi 3.13.* *_cp313
+  - __glibc >=2.17,<3.0.a0
+  constrains:
+  - __glibc >=2.17
   license: MIT
   license_family: MIT
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-  timestamp: 1766159512977
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.16-h6a952e8_0.conda
+  size: 9266480
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.15.14-h994f30f_0.conda
   noarch: python
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-  md5: 8d5840b229d9e957ac2af3c3b4e0eadc
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+  md5: 605e065354fc2525ae245adbe189eb84
   depends:
   - python
-  - libgcc >=14
   - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
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   license: MIT
   license_family: MIT
-  size: 9192459
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.26-h5ac9029_0.conda
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   size: 9694630
   timestamp: 1757406448831
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.9.0-np2py313h16d504d_0.conda
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-  md5: 79dc96526e178928df7363e80169e8c4
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py312h3226591_1.conda
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+  md5: 38decbeae260892040709cafc0514162
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   - scipy >=1.10.0
-  - joblib >=1.4.0
-  - threadpoolctl >=3.5.0
-  - narwhals >=2.0.1
-  - __glibc >=2.17,<3.0.a0
+  - joblib >=1.3.0
+  - threadpoolctl >=3.2.0
   - libgcc >=14
-  - _openmp_mutex >=4.5
+  - __glibc >=2.17,<3.0.a0
   - libstdcxx >=14
-  - python_abi 3.13.* *_cp313
+  - _openmp_mutex >=4.5
   - numpy >=1.23,<3
+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 10208137
-  timestamp: 1780401055093
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/scip-10.0.2-hbf6308b_0.conda
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   license: Apache-2.0 AND LGPL-3.0-or-later AND EPL-1.0 and MIT and Zlib and BSL-1.0 and HPND
   size: 16233924
   timestamp: 1775217740722
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda
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-  md5: 15995ecb2ef890778ba9a3750190f09d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_0.conda
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+  md5: 3e38daeb1fb05a95656ff5af089d2e4c
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@@ -14125,11 +14454,11 @@ packages:
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 16828243
-  timestamp: 1779874781187
-- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py313h4b8bb8b_1.conda
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-  md5: 4b098461b0b5edff1a9359c25e675cfd
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda
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@@ -14142,12 +14471,12 @@ packages:
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   - numpy >=1.23,<3
   - numpy >=1.25.2
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 17184702
-  timestamp: 1779874789436
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.7-py312h21f5128_1.conda
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   md5: 98d83a309c3f330793a7cc8d48c67f81
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda
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-  md5: 6e550dd748e9ac9b2925411684e076a1
+- conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py312h383787d_2.conda
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-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
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+  - python >=3.12,<3.13.0a0
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   license: MIT
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   license: Apache-2.0
   license_family: APACHE
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+  license: Apache-2.0
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   depends:
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+  - __osx >=10.13
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   license_family: LGPL
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-  timestamp: 1780454502704
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@@ -20760,6 +21520,18 @@ packages:
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   size: 2297868
   timestamp: 1769427939677
+- conda: https://conda.anaconda.org/conda-forge/osx-64/greenlet-3.5.0-py313h5fe49f0_0.conda
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+  license: MIT
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   - libcxx >=19
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+  - libexpat >=2.7.5,<3.0a0
   - libfreetype >=2.14.3
   - libfreetype6 >=2.14.3
-  - libglib >=2.88.1,<3.0a0
+  - libglib >=2.86.4,<3.0a0
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   license: MIT
   license_family: MIT
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   license_family: BSD
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   timestamp: 1770434625608
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+  - liblapack  3.11.0   7*_openblas
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   timestamp: 1764017609985
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   license_family: Apache
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   timestamp: 1777027860879
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+  license: BSD-3-Clause
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   timestamp: 1779860046842
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   timestamp: 1780005465717
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   license: LGPL-2.1-or-later
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.16-h1ddadc8_0.conda
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   license_family: BSD
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   license: MIT
   license_family: MIT
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   timestamp: 1769427599940
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   size: 188763
   timestamp: 1770224094408
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   - affine
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-  - libgdal-core >=3.10.3,<3.11.0a0
-  - numpy >=1.23,<3
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   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
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   license: BSD-3-Clause
   license_family: BSD
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   license: MIT
   license_family: MIT
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-  timestamp: 1779977098659
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.16-h80928e0_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.12-hbd3f8a3_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.14-hbd3f8a3_0.conda
   noarch: python
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   license_family: MIT
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+  - joblib >=1.3.0
+  - threadpoolctl >=3.2.0
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+  - python 3.13.* *_cp313
   - __osx >=11.0
+  - libcxx >=19
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   - numpy >=1.23,<3
   license: BSD-3-Clause
   license_family: BSD
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   - numpy >=1.25.2
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
-  size: 13936510
-  timestamp: 1779874824714
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   timestamp: 1779874780525
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.17.1-py313hc753a45_0.conda
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+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
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   size: 38883
   timestamp: 1762948066818
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+  - __osx >=11.0
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+  - libsqlite 3.53.1 h1b79a29_0
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   license: blessing
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   license: Apache-2.0
   license_family: Apache
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+  - python_abi 3.13.* *_cp313
+  license: Apache-2.0
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   license: Apache-2.0
   license_family: Apache
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+  - python_abi 3.13.* *_cp313
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   timestamp: 1779124076307
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h4818236_10.conda
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   timestamp: 1772108554879
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+  - liblapack  3.11.0   7*_openblas
+  - liblapacke 3.11.0   7*_openblas
+  - mkl <2027
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   timestamp: 1764017901735
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+  - liblapack  3.11.0   7*_openblas
+  - liblapacke 3.11.0   7*_openblas
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   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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-  timestamp: 1780521148545
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   timestamp: 1685726568668
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+  - liblapacke 3.11.0   7*_openblas
+  - libcblas   3.11.0   7*_openblas
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   license: BSD-3-Clause
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   - intel-openmp <0.0a0
-  - openmp 22.1.7|22.1.7.*
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   license: BSD-3-Clause
   license_family: BSD
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   size: 41377
   timestamp: 1778104928629
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+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
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   - ucrt >=10.0.20348.0
-  - python_abi 3.13.* *_cp313
   - numpy >=1.23,<3
+  - python_abi 3.12.* *_cp312
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   - adbc-driver-sqlite >=1.2.0
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-- conda: https://conda.anaconda.org/conda-forge/win-64/pandas-3.0.3-py312h95189c4_0.conda
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+  - python_abi 3.13.* *_cp313
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   license: GPL-2.0-or-later
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-- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.41.2-py310hd2b7e2a_0.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.40.1-py310hd2b7e2a_0.conda
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+  - cpython >=3.10
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+- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.41.1-py310hd2b7e2a_0.conda
   noarch: python
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+  - vc >=14.2
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
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+  license: BSD-3-Clause
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 - conda: https://conda.anaconda.org/conda-forge/win-64/protobuf-6.33.5-py312hcb3287e_2.conda
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   size: 180992
   timestamp: 1770223457761
+- conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-27.1.0-py312h343a6d4_2.conda
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+  - zeromq >=4.3.5,<4.3.6.0a0
+  - _python_abi3_support 1.*
+  - cpython >=3.12
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+  license_family: BSD
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   license: LGPL-3.0-only
   license_family: LGPL
-  size: 89576886
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-- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.4.3-py312h9aeec68_2.conda
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-  - numpy >=1.23,<3
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   - python_abi 3.12.* *_cp312
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   - snuggs >=1.4.1
   - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
+  - vc >=14.2,<15
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   license: BSD-3-Clause
   license_family: BSD
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   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
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-  timestamp: 1779977048735
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   size: 105675
   timestamp: 1766159549377
-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.16-h45713df_0.conda
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   noarch: python
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   license: MIT
   license_family: MIT
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   size: 12269071
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   license: BSD-3-Clause
   license_family: BSD
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   timestamp: 1762948090450
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+  license: MIT
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   license: blessing
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   license: Apache-2.0
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+- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_36.conda
+  sha256: 902984f2282859a76d764d80d74f873df7c7749117cfac15c5106e086fb2b772
+  md5: 65f5c81f2796961fcfd808eee8e73596
+  depends:
+  - ucrt >=10.0.20348.0
+  - vcomp14 14.44.35208 h818238b_36
+  constrains:
+  - vs2015_runtime 14.44.35208.* *_36
+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 683790
+  timestamp: 1778688078434
 - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_38.conda
   sha256: 957c7c65583c7107a5e76f39756c6361fcb7b0dc101ac7c0aea86e7ca09fe49c
   md5: 2cdcd8ea1010920911bb2eacb4c61227
@@ -34662,6 +36819,17 @@ packages:
   license_family: Proprietary
   size: 740997
   timestamp: 1780005875753
+- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_36.conda
+  sha256: 0cd5b905ab2b5e9fcb170fe8801b64917effef8e3a73ffd9b2cc4c3ee387f09c
+  md5: 4aa1884260877bd57d16070d20271e2d
+  depends:
+  - ucrt >=10.0.20348.0
+  constrains:
+  - vs2015_runtime 14.44.35208.* *_36
+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 115995
+  timestamp: 1778688058077
 - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_38.conda
   sha256: c645fdc1f0f47718431d973386e946754a10200e7ba2c32032560913a970cacd
   md5: 63ee70d69d7540e821940dac5d4d9ba2
@@ -34673,6 +36841,15 @@ packages:
   license_family: Proprietary
   size: 123561
   timestamp: 1780005858779
+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_36.conda
+  sha256: 458bcc4a857b6741692fec978646a4b2d8f54119daad6c89838fe831cafba43d
+  md5: 7a79d40a33f3e3ddfc9a603fb3cb8647
+  depends:
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 19982
+  timestamp: 1778688080463
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.51.36231-h84cd919_38.conda
   sha256: c4f38268563dc6b8322b0191481e5d20002fc6e37b076c15e0b955a553c8b4a0
   md5: 6033851d921b6c33f1c3018205fcba6a
@@ -34845,6 +37022,32 @@ packages:
   license_family: MIT
   size: 918674
   timestamp: 1731861024233
+- conda: https://conda.anaconda.org/conda-forge/win-64/xz-5.8.3-hb6c8415_0.conda
+  sha256: 2c34f766619921fd543095f26a2688b845fe2cb372b71488d232ad3612630bb7
+  md5: 46f70d503d68c55c104a564928a39852
+  depends:
+  - liblzma 5.8.3 hfd05255_0
+  - liblzma-devel 5.8.3 hfd05255_0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - xz-tools 5.8.3 hfd05255_0
+  license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
+  size: 24697
+  timestamp: 1775825746585
+- conda: https://conda.anaconda.org/conda-forge/win-64/xz-tools-5.8.3-hfd05255_0.conda
+  sha256: 96b8212ff33dd8a1df8c0f69c0ad7b3551496c3068576408c0bedf9260febae2
+  md5: 01b20ff45704b888d218f31a3aa3ea2a
+  depends:
+  - liblzma 5.8.3 hfd05255_0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  constrains:
+  - xz 5.8.3.*
+  license: 0BSD AND LGPL-2.1-or-later
+  size: 68149
+  timestamp: 1775825719953
 - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h6a83c73_3.conda
   sha256: 80ee68c1e7683a35295232ea79bcc87279d31ffeda04a1665efdb43cbd50a309
   md5: 433699cba6602098ae8957a323da2664
@@ -34859,9 +37062,9 @@ packages:
   license_family: MIT
   size: 63944
   timestamp: 1753484092156
-- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.24.2-py312h05f76fc_0.conda
-  sha256: cd91174742137ccc24566596e516a6505e99adf7fd93d45b61dea51cb82f8805
-  md5: 0871bb7bdf76fe114373f2e8012ebd83
+- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py312h05f76fc_0.conda
+  sha256: 747cbb8b9da725c58ae3800f38b161f96297a557a19211ea39069805042bbe80
+  md5: f724e37e0f0dd67a460d882791adbe5b
   depends:
   - idna >=2.0
   - multidict >=4.0
@@ -34873,8 +37076,24 @@ packages:
   - vc14_runtime >=14.44.35208
   license: Apache-2.0
   license_family: Apache
-  size: 151702
-  timestamp: 1779246206775
+  size: 143691
+  timestamp: 1772409484963
+- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py313hd650c13_0.conda
+  sha256: 35f7e545786adcfc8e202ade617eeeece47d0df7b6221377361d7acee554e3ca
+  md5: beb407255f9c46aedfb3712a7a5c8554
+  depends:
+  - idna >=2.0
+  - multidict >=4.0
+  - propcache >=0.2.1
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  size: 145238
+  timestamp: 1772409478751
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
   sha256: c3e279cb309b153152fcdd6ee6d039ad996d563c849f06be39d85b8e3351df25
   md5: f016c0c5f9c01549b259146614786192
@@ -34888,6 +37107,19 @@ packages:
   license_family: MOZILLA
   size: 265717
   timestamp: 1779124031378
+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
+  sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
+  md5: 1ab0237036bfb14e923d6107473b0021
+  depends:
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - libsodium >=1.0.21,<1.0.22.0a0
+  - krb5 >=1.22.2,<1.23.0a0
+  license: MPL-2.0
+  license_family: MOZILLA
+  size: 265665
+  timestamp: 1772476832995
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
   sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
   md5: 5187ecf958be3c39110fe691cbd6873e
@@ -34942,15 +37174,15 @@ packages:
   license_family: BSD
   size: 388453
   timestamp: 1764777142545
-- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py313_0.conda
-  sha256: 74602086c20e39c93201a478044b31e03cdb2671845d7254496ce83083cdb071
-  md5: 436867ff5e2f9a932466998b4c6bc098
+- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py312_0.conda
+  sha256: 77be05ce932373efe674d0bb31690d4a03d15d19f7880218bfe9d1030e6da486
+  md5: 732df74126bc3cc24b6564899df74f23
   depends:
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   license: PROPRIETARY
-  size: 48107731
-  timestamp: 1777597523361
+  size: 48125269
+  timestamp: 1777597181837
 - conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py313_0.conda
   sha256: b3b378465c090ed666576da4de3dc02cdb66c1bb8ecd3f17bdfd92ef39bcb2b9
   md5: 648a03b9ed4568deaf050b65cb8f2d49

From 18774d54cc8c0539b9f9528d9252e31db6aa0377 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Mon, 15 Jun 2026 16:37:38 +0200
Subject: [PATCH 080/105] ci: trigger grype


From b1564e40cee9040fcec24bbc64a2ebaeee047058 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 10:38:16 +0200
Subject: [PATCH 081/105] ci: fix update-lockfile action to commit on PR

---
 .github/workflows/update-lockfile.yaml | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 9b9e17b07d..ad37c24e50 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -1,16 +1,23 @@
 name: Update locked envs
 on:
+  push:
+    paths:
+    - pixi.toml
+    - pixi.lock
   schedule:
   - cron: "0 8 1,16 * *" # Bi-weekly
   workflow_dispatch:
 
 jobs:
   update-lockfiles:
-    if: ${{ github.ref == 'refs/heads/master' }}
+    if: |
+      (github.event_name == 'schedule' && github.ref == 'refs/heads/master') ||
+      (github.event_name != 'schedule' && github.ref != 'refs/heads/master')
     name: Update lockfiles
     runs-on: ubuntu-latest
     permissions:
       contents: write
+      pull-requests: write
     defaults:
       run:
         shell: bash -l {0}
@@ -32,7 +39,14 @@ jobs:
       if: ${{ !vars.PYPSA_BOT_ID }}
       run: pixi run sync-locks
 
+    - name: Create Commit
+      if: ${{ github.ref != 'refs/heads/master' }}
+      uses: stefanzweifel/git-auto-commit-action@v7
+      with:
+        commit_message: "[github-actions.ci] Update locked envs"
+
     - name: Create Pull Request
+      if: ${{ github.ref == 'refs/heads/master' }}
       uses: peter-evans/create-pull-request@v8
       with:
         token: ${{ secrets.GITHUB_TOKEN }}
@@ -41,5 +55,5 @@ jobs:
         body: |
           Automatically generated PR to update the pixi lockfile.
 
-          **Note: Do not merge without manual test execution, unless pypsa-bot has already exported the environment files and triggered tests.**
+          **Note: Do not merge without manual test execution. Either update the branch to trigger tests, or use `workflow_dispatch` to run tests manually. Unlike standard PRs, tests will not run automatically.**
         commit-message: "Update locked environment files for all platforms"

From 4ae9f74f7429b6d3d7d364d4e64ac2156d83e10c Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 10:46:02 +0200
Subject: [PATCH 082/105] fix: add missing parameter in
 build_electricity_demand_base

---
 rules/build_electricity.smk | 1 +
 1 file changed, 1 insertion(+)

diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index ab498bc94d..4208f31558 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -622,6 +622,7 @@ rule build_electricity_demand_base:
     params:
         distribution_key=config_provider("load", "distribution_key"),
         substation_only=config_provider("load", "substation_only"),
+        load_source=config_provider("load", "source"),
     message:
         "Building electricity demand time series for base network"
     script:

From b1a4fadf82dc0b1ce66cf919b11bfb2f63714b6a Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 11:55:35 +0200
Subject: [PATCH 083/105] chore: remove pinned version to align with upstream

---
 envs/default_linux-64.pin.txt  |   225 +-
 envs/default_osx-64.pin.txt    |   295 +-
 envs/default_osx-arm64.pin.txt |   297 +-
 envs/default_win-64.pin.txt    |   318 +-
 envs/environment.yaml          |     4 +-
 pixi.lock                      | 13011 +++++++++++++++----------------
 pixi.toml                      |     7 +-
 7 files changed, 6608 insertions(+), 7549 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 1c492c108f..2fe3397f07 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -9,37 +9,37 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_19.conda#
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
-https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda#e18ad67cf881dcadee8b8d9e2f8e5f73
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.2-h35e630c_0.conda#da1b85b6a87e141f5140bb9924cecab0
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.5.20-hbd8a1cb_0.conda#489b8e97e666c93f68fdb35c3c9b957f
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda#79dd2074b5cd5c5c6b2930514a11e22d
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_19.conda#331ee9b72b9dff570d56b1302c5ab37d
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42-h5347b49_0.conda#38ffe67b78c9d4de527be8315e5ada2c
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.1-h0c1763c_0.conda#7dc38adcbf71e6b38748e919e16e0dce
+https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.1-h5347b49_0.conda#7d0a66598195ef00b6efc55aefc7453b
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.2-h0c1763c_0.conda#062b0ac602fb0adf250e3dfa86f221c4
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda#b88d90cad08e6bc8ad540cb310a761fb
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.0-hecca717_0.conda#a3b390520c563d78cc58974de95a03e5
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_0.conda#93764a5ca80616e9c10106cdaec92f74
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda#18335a698559cdbcd86150a48bf54ba6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
 https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda#7eccb41177e15cc672e1babe9056018e
-https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
+https://conda.anaconda.org/conda-forge/noarch/tqdm-4.68.2-pyh8f84b5b_1.conda#99ee58c51aae7ee9ab947a0c6ce5a4c7
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3efd25ac4d74b1584d2f7a57195ddf1
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_19.conda#5794b3bdc38177caf969dabd3af08549
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.2.0-hdf11a46_19.conda#e5ce228e579726c07255dbf90dc62101
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_19.conda#85072b0ad177c966294f129b7c04a2d5
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_19.conda#42bf7eca1a951735fa06c0e3c0d5c8e6
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.33-pthreads_h94d23a6_0.conda#2d3278b721e40468295ca755c3b84070
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-7_h4a7cf45_openblas.conda#955b44e8b00b7f7ef4ce0130cef12394
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-7_h47877c9_openblas.conda#6569b4f273740e25dc0dc7e3232c2a6c
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-7_h0358290_openblas.conda#0675639dc24cb0032f199e7ff68e4633
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda#d8285bea2a350f63fab23bf460221f3f
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_0.conda#3e38daeb1fb05a95656ff5af089d2e4c
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-8_h4a7cf45_openblas.conda#00fc660ab1b2f5ca07e92b4900d10c79
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-8_h47877c9_openblas.conda#809be8ba8712c77bc7d44c2d99390dc4
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-8_h0358290_openblas.conda#33a413f1095f8325e5c30fde3b0d2445
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.6-py312h33ff503_0.conda#6e31d55ee1110fda83b4f4045f4d73ff
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda#15995ecb2ef890778ba9a3750190f09d
+https://conda.anaconda.org/conda-forge/noarch/narwhals-2.22.1-pyhcf101f3_0.conda#9450fb40fb1e147d0bcbdf07cd02ca96
 https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda#8e194e7b992f99a5015edbd4ebd38efd
 https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.3-pyhd8ed1ab_0.conda#615de2a4d97af50c350e5cf160149e77
-https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.8.0-np2py312h3226591_1.conda#38decbeae260892040709cafc0514162
-https://conda.anaconda.org/conda-forge/linux-64/pyomo-6.10.0-py312h1289d80_0.conda#cdfe979072e0821d60be587e85ee1c35
+https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.9.0-np2py312h3226591_0.conda#e6e9b5795bb495325c3b4ebd451519aa
+https://conda.anaconda.org/conda-forge/linux-64/pyomo-6.10.1-py312h1289d80_1.conda#f920bf26bf3b4e98a121c12d1e9147ab
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 49c35d82db..295b4451fe 100644
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 7f11cc7c88..ea808563a5 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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+https://conda.anaconda.org/conda-forge/win-64/lz4-4.4.5-py313h4bbca4b_1.conda#e8df314d3f3fa27e935b6cb449d754f3
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-https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py312he06e257_2.conda#978c009bc3f0add939e44aff97bfaee1
+https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py313h5ea7bf4_2.conda#40263096906457fbffe51f7dc2265728
 https://conda.anaconda.org/conda-forge/noarch/distributed-2026.3.0-pyhc364b38_0.conda#8efb90a27e3b948514a428cb99f3fc70
-https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.0-pyhd8ed1ab_0.conda#b9a6da57e94cd12bd71e7ab0713ef052
+https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda#123fcfe0df4b6fc21804538e59cdaafe
 https://conda.anaconda.org/conda-forge/noarch/dask-2026.3.0-pyhc364b38_0.conda#f9761ef056ba0ccef16e01cfceee62c2
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-https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.46.0-np2py312h226b611_0.conda#dac45a197e14d635ec763553cc8ac6d2
+https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.46.0-np2py313haacffc7_0.conda#98ea8d4f4f79f3fafdbc48de466561ef
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diff --git a/envs/environment.yaml b/envs/environment.yaml
index 59743d134b..265a2e7c79 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -26,13 +26,13 @@ dependencies:
 - ipython >=9.7.0
 - jpype1 >=1.6.0
 - libgdal-netcdf >=3.10.3
-- linopy >=0.6.1,<0.7.0
+- linopy >=0.6.1
 - lxml >=6.0.2
 - matplotlib >=3.10.7
 - memory_profiler >=0.61.0
 - netcdf4 >=1.7.2,!=1.7.4
 - networkx >=3.5
-- numpy >=1.26.4,<2
+- numpy >=1.26.4
 - openpyxl >=3.1.5
 - pandas >=2.1
 - plotly >=6.4.0
diff --git a/pixi.lock b/pixi.lock
index 728ee700a0..b523b22414 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -14,23 +14,22 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.6.1-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.7.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyhdfd78af_1.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.0.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.21.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.22.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.5-py312h5d8c7f2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
@@ -62,7 +61,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.0.2-hc31b594_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.1.3-hc31b594_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py312hf79963d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda
@@ -73,7 +72,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.12-hf4fecb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py312h0a2e395_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.7-py312ha4b625e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-48.0.1-py312ha4b625e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py312h4c3975b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
@@ -81,13 +80,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.46.0-h83bc92c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py312h053e1f3_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.17.1-h27c8c51_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.18.1-h27c8c51_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.63.0-py312h8a5da7c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freeglut-3.2.2-h215f996_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.14.3-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h9dce30a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py312h447239a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.6-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geos-3.14.1-h480dda7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
@@ -97,16 +95,16 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/glpk-5.0-h445213a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.3.0-hac33072_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.8.0-py312h03f33d3_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.15-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.0-py312h8285ef7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.5.1-py312h8285ef7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.73.1-py312h6f3464c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.52-ha5ea40c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.16.0-nompi_py312ha4f8f14_102.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-14.2.0-h6083320_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-14.2.1-h6083320_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h19486de_109.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.6-nompi_h19486de_110.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hicolor-icon-theme-0.17-ha770c72_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/highspy-1.14.0-np2py312h0f77346_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda
@@ -119,7 +117,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.5.0-py312h0a2e395_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.22.2-ha1258a1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.19.1-h0c24ade_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.19.1-h0c24ade_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.1.0-hdb68285_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/levenshtein-0.27.3-py312h1289d80_0.conda
@@ -132,24 +130,24 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-23.0.0-h635bf11_2_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-23.0.0-h3f74fd7_2_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libattr-2.5.2-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-7_h4a7cf45_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-8_h4a7cf45_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libboost-1.88.0-hd24cca6_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.2.0-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-7_h0358290_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.5-default_h746c552_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-8_h0358290_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.7-default_h746c552_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h7a8fb5f_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.20.0-hcf29cc6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.125-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.127-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.0-hecca717_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.3-ha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.3-h73754d4_0.conda
@@ -163,13 +161,13 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-devel-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-1.7.0-ha4b6fd6_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-devel-1.7.0-ha4b6fd6_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.88.1-h0d30a3d_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglu-9.0.3-h5888daf_1.conda
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   - libgcc >=14
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.1.0-gpl_h2abfd87_119.conda
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   - zlib
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   license_family: MOZILLA
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libspral-2025.05.20-hfabd9d1_1.conda
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   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.13.1-hca5e8e5_0.conda
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   license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.15.3-h49c6c72_0.conda
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.10.9-py312h7900ff3_0.conda
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-  md5: 289cb39d39495320c04893a198fb24f0
+- conda: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-3.1.3-h32e32c0_0.conda
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   - libcxx >=19
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   license_family: BSD
   run_exports:
     weak:
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-  size: 316253
-  timestamp: 1780000517774
+    - c-blosc2 >=3.1.3,<3.2.0a0
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.18.4-h7656bdc_1.conda
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   - pixman >=0.44.2,<1.0a0
   license: LGPL-2.1-only or MPL-1.1
+  run_exports:
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   timestamp: 1741554808521
 - conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py312h86abcb1_1.conda
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-  md5: cf70c8244e7ceda7e00b1881ad7697a9
+- conda: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py313h2f264a9_1.conda
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-  - pycparser
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: MIT
-  license_family: MIT
+  - libcxx >=19
+  - matplotlib-base >=3.6
+  - numpy >=1.23,<3
+  - packaging >=21
+  - pyproj >=3.3.1
+  - pyshp >=2.3
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - shapely >=2.0
+  license: BSD-3-Clause
+  license_family: BSD
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-  timestamp: 1761203170357
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@@ -24808,8 +23317,23 @@ packages:
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
+  run_exports: {}
   size: 289913
   timestamp: 1758716346335
+- conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-2.0.0-py313hf57695f_1.conda
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+  md5: b10f64f2e725afc9bf2d9b30eff6d0ea
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+  - libffi >=3.5.2,<3.6.0a0
+  - pycparser
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  run_exports: {}
+  size: 290946
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/cftime-1.6.5-py312h8ab2c85_1.conda
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   timestamp: 1768511272881
+- conda: https://conda.anaconda.org/conda-forge/osx-64/cftime-1.6.5-py313hceb611b_1.conda
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+  - numpy >=1.21.2
+  - numpy >=1.23,<3
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
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+  size: 395392
+  timestamp: 1768511253893
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@@ -24846,6 +23384,9 @@ packages:
   - coincbc * *_metapackage
   license: EPL-2.0
   license_family: OTHER
+  run_exports:
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   timestamp: 1778586928773
 - conda: https://conda.anaconda.org/conda-forge/osx-64/coin-or-cgl-0.60.10-hd6b1f2b_1.conda
@@ -24869,6 +23410,9 @@ packages:
   - coincbc * *_metapackage
   license: EPL-2.0
   license_family: OTHER
+  run_exports:
+    weak:
+    - coin-or-cgl >=0.60,<0.61.0a0
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/coin-or-clp-1.17.11-h115fb9b_1.conda
@@ -24891,6 +23435,9 @@ packages:
   - coincbc * *_metapackage
   license: EPL-2.0
   license_family: OTHER
+  run_exports:
+    weak:
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/coin-or-osi-0.108.12-h9c53fe0_1.conda
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   - coincbc * *_metapackage
   license: EPL-2.0
   license_family: OTHER
+  run_exports:
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/coin-or-utils-2.11.13-h9cdb5db_1.conda
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   - coincbc * *_metapackage
   license: EPL-2.0
   license_family: OTHER
+  run_exports:
+    weak:
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+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
+  license_family: BSD
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+  size: 298562
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/cryptography-48.0.1-py312h1af399d_0.conda
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   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   constrains:
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   license_family: BSD
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   constrains:
-  - __osx >=10.13
+  - __osx >=11.0
   license: Apache-2.0 AND BSD-3-Clause AND PSF-2.0 AND MIT
   license_family: BSD
   run_exports: {}
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.21-py312h4075484_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/cytoolz-1.1.0-py313h36bb7f5_2.conda
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - toolz >=0.10.0
+  license: BSD-3-Clause
+  license_family: BSD
+  run_exports: {}
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+  timestamp: 1771856046878
+- conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.21-py313h5fe49f0_0.conda
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+  md5: 054de8e4efb4e37a37c8daae96fdbf0b
   depends:
   - python
   - __osx >=11.0
   - libcxx >=19
-  - python_abi 3.12.* *_cp312
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   run_exports: {}
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-  timestamp: 1780390224238
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@@ -25051,11 +23632,12 @@ packages:
   - shapely
   license: BSD-3-Clause
   license_family: BSD
+  run_exports: {}
   size: 1042055
   timestamp: 1764875013543
-- conda: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.10.1-py312hb20e208_6.conda
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-  md5: e82a20a3c91736e615f87c5564f0753b
+- conda: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.10.1-py313ha55c4c1_6.conda
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+  md5: b7268b3d9fcfd219f88e8db709a0e4d8
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@@ -25065,41 +23647,14 @@ packages:
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   - pyparsing
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   - shapely
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   license_family: BSD
   run_exports: {}
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/fontconfig-2.17.1-h7a4440b_0.conda
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-  - libzlib >=1.3.2,<2.0a0
-  license: MIT
-  license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.14.3-h694c41f_0.conda
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-  md5: 6ab1403cc6cb284d56d0464f19251075
+- conda: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.63.0-py313h035b7d0_0.conda
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+  md5: dfd6e3d6a3d27c6fbee97550b2dda2d9
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-  - libfreetype6 2.14.3 h58fbd8d_0
-  license: GPL-2.0-only OR FTL
-  size: 174060
-  timestamp: 1774298809296
+  - __osx >=11.0
+  - brotli
+  - munkres
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
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+  size: 2929481
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.14.3-h694c41f_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/frozenlist-1.7.0-py312h18bfd43_0.conda
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@@ -25219,6 +23767,9 @@ packages:
   - libtiff >=4.7.0,<4.8.0a0
   license: LGPL-2.1-or-later
   license_family: LGPL
+  run_exports:
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+    - gdk-pixbuf >=2.42.12,<3.0a0
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   timestamp: 1754960291328
 - conda: https://conda.anaconda.org/conda-forge/osx-64/gdk-pixbuf-2.44.6-hae309b2_0.conda
@@ -25246,6 +23797,9 @@ packages:
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   - libcxx >=18
   license: LGPL-2.1-only
+  run_exports:
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+    - geos >=3.13.1,<3.13.2.0a0
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/geos-3.14.1-he483b9e_0.conda
@@ -25273,6 +23827,9 @@ packages:
   - zlib
   license: MIT
   license_family: MIT
+  run_exports:
+    weak:
+    - geotiff >=1.7.4,<1.8.0a0
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   timestamp: 1742402589010
 - conda: https://conda.anaconda.org/conda-forge/osx-64/gflags-2.2.2-hac325c4_1005.conda
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   - libintl >=0.25.1,<1.0a0
   license: LGPL-2.1-or-later
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   size: 102128
   timestamp: 1754315404852
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.14-h21dd04a_2.conda
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-  - libcxx >=19
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   license: Python-2.0
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-    - python_abi 3.12.* *_cp312
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     noarch:
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   constrains:
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   license: MIT
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-  license_family: BSD
-  size: 192884
-  timestamp: 1771717048943
+  - __osx >=10.13
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - yaml >=0.2.5,<0.3.0a0
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-27.1.0-py312h2ac7433_3.conda
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-  - numpy >=1.21,<3
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+  - libgdal-core >=3.10.3,<3.11.0a0
+  - numpy >=1.23,<3
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   - python >=3.12,<3.13.0a0
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   - proj >=9.7.0,<9.8.0a0
-  - python >=3.12,<3.13.0a0
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+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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   - snuggs >=1.4.1
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.30.0-py312h8a6388b_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-2026.5.1-py313he4ad68c_0.conda
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+  - __osx >=11.0
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+  - __osx >=11.0
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.12-h613a73a_0.conda
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   depends:
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   license: MIT
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-  timestamp: 1778119625309
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.14-h613a73a_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.16-h1ddadc8_0.conda
   noarch: python
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+  md5: da82dbe7191b3de371645a43579bd427
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@@ -29033,11 +27665,12 @@ packages:
   - threadpoolctl >=3.1.0
   license: BSD-3-Clause
   license_family: BSD
+  run_exports: {}
   size: 9042087
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.9.0-np2py312h691318a_0.conda
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   - narwhals >=2.0.1
   - llvm-openmp >=19.1.7
-  - libcxx >=19
   - __osx >=11.0
+  - libcxx >=19
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+  - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.1-py312h6309490_0.conda
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-  md5: 07c955303eea8d00535164eb5f63ee97
+- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.1-py312h6309490_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.17.1-py312h6309490_1.conda
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-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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+  - python_abi 3.13.* *_cp313
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   license_family: Apache
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-common-0.12.4-h6caf38d_0.conda
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   license_family: Apache
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   license: Apache-2.0
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-  - python >=3.12,<3.13.0a0 *_cpython
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   license: Apache-2.0 AND BSD-3-Clause AND PSF-2.0 AND MIT
   license_family: BSD
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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   - __osx >=11.0
   license: Apache-2.0 AND BSD-3-Clause AND PSF-2.0 AND MIT
   license_family: BSD
   run_exports: {}
-  size: 1853060
-  timestamp: 1777966201485
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-  md5: 178381b74c5e84ea90751c5e4291c41e
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/cytoolz-1.1.0-py313h0997733_2.conda
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+  md5: 5b7dd41f7974dd5d52bf37cbc0322e84
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-  - python
   - __osx >=11.0
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  - toolz >=0.10.0
+  license: BSD-3-Clause
+  license_family: BSD
+  run_exports: {}
+  size: 594945
+  timestamp: 1771856362962
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.21-py313h1188861_0.conda
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+  md5: 7d6048d219ebf46e96d44c077eb8cb44
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+  - python
+  - python 3.13.* *_cp313
   - libcxx >=19
-  - python 3.12.* *_cpython
-  - python_abi 3.12.* *_cp312
+  - __osx >=11.0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 2742535
-  timestamp: 1780390215643
+  size: 2754468
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/eccodes-2.46.0-h768f3a7_0.conda
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   md5: a3a6aa5eb19e85c456ad3bc7b98777af
@@ -30677,11 +29473,12 @@ packages:
   - shapely
   license: BSD-3-Clause
   license_family: BSD
+  run_exports: {}
   size: 1042406
   timestamp: 1764875395749
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/fiona-1.10.1-py312h515fe7d_6.conda
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-  md5: ac14e26b9c555ef3aee80db8fcfce7e6
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/fiona-1.10.1-py313h7df67bf_6.conda
+  sha256: 3bdf13c8f79852ab3a22fccadb5938efb06351ae43509bac4cdbd423a0608b0a
+  md5: dc81b108af52deb655ea85f9b745f7e2
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   - attrs >=19.2.0
@@ -30691,42 +29488,15 @@ packages:
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   - libgdal-core >=3.12.1,<3.13.0a0
   - pyparsing
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   - shapely
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
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-  timestamp: 1767051694318
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/fontconfig-2.17.1-h2b252f5_0.conda
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-  - libzlib >=1.3.1,<2.0a0
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-  license_family: MIT
-  size: 237308
-  timestamp: 1771382999247
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/fontconfig-2.18.0-h2b252f5_0.conda
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-  - libfreetype6 >=2.14.3
-  - libintl >=0.25.1,<1.0a0
-  - libzlib >=1.3.2,<2.0a0
-  license: MIT
-  license_family: MIT
-  size: 247593
-  timestamp: 1779422088582
+  size: 1050758
+  timestamp: 1767051627331
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fontconfig-2.18.1-h2b252f5_0.conda
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   timestamp: 1778771054844
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/freetype-2.14.3-hce30654_0.conda
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-  md5: 6dcc75ba2e04c555e881b72793d3282f
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.63.0-py313h65a2061_0.conda
+  sha256: 7ee6adb0d2c9c5c8d5674736efd46c10b6902b31f95853c606cf86b3928b39cc
+  md5: 1b8cb9d51771e5399df1a2859e512134
   depends:
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-  - libfreetype6 2.14.3 hdfa99f5_0
-  license: GPL-2.0-only OR FTL
-  size: 173313
-  timestamp: 1774298702053
+  - __osx >=11.0
+  - brotli
+  - munkres
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  run_exports: {}
+  size: 2983026
+  timestamp: 1778770717031
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/freetype-2.14.3-hce30654_1.conda
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@@ -30809,19 +29585,6 @@ packages:
     - fribidi >=1.0.16,<2.0a0
   size: 59391
   timestamp: 1757438897523
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/frozenlist-1.7.0-py312h512c567_0.conda
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-  - libcxx >=19
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  license: Apache-2.0
-  license_family: APACHE
-  size: 52265
-  timestamp: 1752167495152
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/frozenlist-1.8.0-py312ha0ce254_0.conda
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   md5: 4dba3a2eb282b85b3f6e0a25b6af0d8a
@@ -30849,6 +29612,9 @@ packages:
   - libtiff >=4.7.0,<4.8.0a0
   license: LGPL-2.1-or-later
   license_family: LGPL
+  run_exports:
+    weak:
+    - gdk-pixbuf >=2.42.12,<3.0a0
   size: 549845
   timestamp: 1754960472079
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gdk-pixbuf-2.44.6-h4e57454_0.conda
@@ -30876,6 +29642,9 @@ packages:
   - __osx >=11.0
   - libcxx >=18
   license: LGPL-2.1-only
+  run_exports:
+    weak:
+    - geos >=3.13.1,<3.13.2.0a0
   size: 1470335
   timestamp: 1741051878236
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/geos-3.14.1-h5afe852_0.conda
@@ -30903,6 +29672,9 @@ packages:
   - zlib
   license: MIT
   license_family: MIT
+  run_exports:
+    weak:
+    - geotiff >=1.7.4,<1.8.0a0
   size: 113025
   timestamp: 1742402688792
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gflags-2.2.2-hf9b8971_1005.conda
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   - libglib 2.84.3 h587fa63_0
   - libintl >=0.25.1,<1.0a0
   license: LGPL-2.1-or-later
+  run_exports: {}
   size: 101984
   timestamp: 1754315707816
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/glib-tools-2.88.1-h37541a8_2.conda
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   size: 25105
   timestamp: 1768549598713
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/graphite2-1.3.14-hec049ff_2.conda
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-  md5: 0fc46fee39e88bbcf5835f71a9d9a209
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/google-crc32c-1.8.0-py313h11ab6f4_1.conda
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+  md5: 08e5ab1798fd9a890447baa09bb31e8f
   depends:
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-  - libcxx >=19
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  size: 81202
-  timestamp: 1755102333712
+  - libcrc32c >=1.1.2,<1.2.0a0
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: Apache-2.0
+  license_family: Apache
+  run_exports: {}
+  size: 25467
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/graphite2-1.3.15-hf6b4638_0.conda
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@@ -31046,6 +29823,9 @@ packages:
   - pango >=1.56.4,<2.0a0
   license: EPL-1.0
   license_family: Other
+  run_exports:
+    weak:
+    - graphviz >=13.1.2,<14.0a0
   size: 2201370
   timestamp: 1754732518951
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-14.1.2-hec8c438_0.conda
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   size: 2218284
   timestamp: 1769427599940
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/greenlet-3.5.1-py312h6510ced_0.conda
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-  md5: bd46cb7969581b244df620180a8f9814
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/greenlet-3.5.1-py313h1188861_0.conda
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+  md5: 6844fa63ef5a00e2c0a4a58463cf2ad0
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-  - __osx >=11.0
+  - python 3.13.* *_cp313
   - libcxx >=19
-  - python 3.12.* *_cpython
-  - python_abi 3.12.* *_cp312
+  - __osx >=11.0
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 258819
-  timestamp: 1779292536406
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/grpcio-1.73.1-py312h9bc1d27_1.conda
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@@ -31104,6 +29884,22 @@ packages:
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   size: 787600
   timestamp: 1761053803779
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/grpcio-1.73.1-py313hb057f1c_1.conda
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+  md5: eae3667f33e9e2a296b775547b42f506
+  depends:
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+  - libcxx >=19
+  - libgrpc 1.73.1 h3063b79_1
+  - libzlib >=1.3.1,<2.0a0
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: Apache-2.0
+  license_family: APACHE
+  run_exports: {}
+  size: 796665
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gtk3-3.24.43-h07173f4_5.conda
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@@ -31125,6 +29921,10 @@ packages:
   - pango >=1.56.3,<2.0a0
   license: LGPL-2.0-or-later
   license_family: LGPL
+  run_exports:
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+    - gtk3 >=3.24.43,<4.0a0
+    - adwaita-icon-theme
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   timestamp: 1743406461562
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gtk3-3.24.52-hc0f3e19_0.conda
@@ -31185,6 +29985,22 @@ packages:
   run_exports: {}
   size: 1180081
   timestamp: 1775582311942
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/h5py-3.16.0-nompi_py313hc6ee213_102.conda
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+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
+  license_family: BSD
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/harfbuzz-11.4.5-hf4e55d4_0.conda
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   md5: 0938e21caccd8fd5b30527396f8aaa82
@@ -31201,26 +30017,11 @@ packages:
   - libzlib >=1.3.1,<2.0a0
   license: MIT
   license_family: MIT
+  run_exports:
+    weak:
+    - harfbuzz >=11.4.5
   size: 1551301
   timestamp: 1756738697245
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/harfbuzz-14.2.0-h3103d1b_0.conda
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   timestamp: 1695661864625
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/hdf5-1.14.6-nompi_had3affe_109.conda
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@@ -31314,6 +30099,21 @@ packages:
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   size: 1853314
   timestamp: 1775498673062
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/highspy-1.14.0-np2py313hdc65ad0_0.conda
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+  md5: 8aab3789e726c60eee0f0aa1560666d6
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+  - numpy
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+  - python 3.13.* *_cp313
+  - libcxx >=19
+  - python_abi 3.13.* *_cp313
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+  license_family: MIT
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-  - python >=3.12,<3.13.0a0 *_cpython
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+  - python >=3.13,<3.14.0a0
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+  - python_abi 3.13.* *_cp313
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   license_family: MIT
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-  - python >=3.12,<3.13.0a0 *_cpython
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   - typing_extensions
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   timestamp: 1778499484750
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+  - python >=3.13,<3.14.0a0 *_cp313
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   timestamp: 1707226249608
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+  - python_abi 3.13.* *_cp313
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   license: GPL-2.0-or-later WITH Classpath-exception-2.0
   license_family: GPL
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+  - python_abi 3.13.* *_cp313
+  license: MIT
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   license: Apache-2.0
   license_family: Apache
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-  - python >=3.12,<3.13.0a0 *_cpython
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   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pandoc-3.9.0.2-hce30654_0.conda
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 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pango-1.56.4-hf80efc4_1.conda
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   license_family: BSD
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   license_family: MIT
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+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  - yaml >=0.2.5,<0.3.0a0
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   - cpython >=3.12
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   license_family: BSD
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-  - python >=3.12,<3.13.0a0 *_cpython
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+  - python_abi 3.13.* *_cp313
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   license: BSD-3-Clause
   license_family: BSD
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+  - __osx >=11.0
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   license_family: MIT
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   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.14-hbd3f8a3_0.conda
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   noarch: python
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   - threadpoolctl >=3.1.0
   license: BSD-3-Clause
   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.9.0-np2py312he5ca3e3_0.conda
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-  - llvm-openmp >=19.1.7
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-  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
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-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
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   license: BSD-3-Clause
   license_family: BSD
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-  - python >=3.12,<3.13.0a0 *_cpython
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+  - python >=3.13,<3.14.0a0 *_cp313
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-  - python >=3.12,<3.13.0a0 *_cpython
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+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   run_exports: {}
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-  - python_abi 3.12.* *_cp312
+  - python 3.13.* *_cp313
+  - python_abi 3.13.* *_cp313
   license: MIT
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   license: Apache-2.0
   license_family: APACHE
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   license: Apache-2.0
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 - conda: https://conda.anaconda.org/conda-forge/win-64/aws-c-http-0.10.7-hc678f4a_5.conda
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   license: LGPL-2.1-only
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@@ -36482,6 +35523,9 @@ packages:
   - zlib
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   license_family: MIT
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   - vc14_runtime >=14.44.35208
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   license_family: Other
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+  - python >=3.13,<3.14.0a0
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+  - ucrt >=10.0.20348.0
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   license: MIT
   license_family: MIT
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+  - ucrt >=10.0.20348.0
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+  - ucrt >=10.0.20348.0
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-  - cpython >=3.12
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+  - yaml >=0.2.5,<0.3.0a0
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+- conda: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.4.3-py312h9aeec68_2.conda
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-  - numpy >=1.21,<3
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   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
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-  - python >=3.12,<3.13.0a0
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+  - python >=3.13,<3.14.0a0
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   license: BSD-3-Clause
   license_family: BSD
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+  - python_abi 3.13.* *_cp313
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-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.14-hd7ccaa8_0.conda
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   - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
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+  - liblzma-devel 5.8.3 hfd05255_0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - xz-tools 5.8.3 hfd05255_0
+  license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
+  run_exports:
+    weak:
+    - liblzma >=5.8.3,<6.0a0
+  size: 24697
+  timestamp: 1775825746585
+- conda: https://conda.anaconda.org/conda-forge/win-64/xz-tools-5.8.3-hfd05255_0.conda
+  sha256: 96b8212ff33dd8a1df8c0f69c0ad7b3551496c3068576408c0bedf9260febae2
+  md5: 01b20ff45704b888d218f31a3aa3ea2a
+  depends:
+  - liblzma 5.8.3 hfd05255_0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  constrains:
+  - xz 5.8.3.*
+  license: 0BSD AND LGPL-2.1-or-later
+  run_exports: {}
+  size: 68149
+  timestamp: 1775825719953
 - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h6a83c73_3.conda
   sha256: 80ee68c1e7683a35295232ea79bcc87279d31ffeda04a1665efdb43cbd50a309
   md5: 433699cba6602098ae8957a323da2664
@@ -41198,22 +40367,6 @@ packages:
     - yaml >=0.2.5,<0.3.0a0
   size: 63944
   timestamp: 1753484092156
-- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.23.0-py312h05f76fc_0.conda
-  sha256: 747cbb8b9da725c58ae3800f38b161f96297a557a19211ea39069805042bbe80
-  md5: f724e37e0f0dd67a460d882791adbe5b
-  depends:
-  - idna >=2.0
-  - multidict >=4.0
-  - propcache >=0.2.1
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: Apache-2.0
-  license_family: Apache
-  size: 143691
-  timestamp: 1772409484963
 - conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.24.2-py312h05f76fc_0.conda
   sha256: cd91174742137ccc24566596e516a6505e99adf7fd93d45b61dea51cb82f8805
   md5: 0871bb7bdf76fe114373f2e8012ebd83
@@ -41242,21 +40395,11 @@ packages:
   - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
+  run_exports:
+    weak:
+    - zeromq >=4.3.5,<4.3.6.0a0
   size: 265717
   timestamp: 1779124031378
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
-  sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
-  md5: 1ab0237036bfb14e923d6107473b0021
-  depends:
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - libsodium >=1.0.21,<1.0.22.0a0
-  - krb5 >=1.22.2,<1.23.0a0
-  license: MPL-2.0
-  license_family: MOZILLA
-  size: 265665
-  timestamp: 1772476832995
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
   sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
   md5: 5187ecf958be3c39110fe691cbd6873e
@@ -41286,9 +40429,9 @@ packages:
     - zlib-ng >=2.3.3,<2.4.0a0
   size: 124542
   timestamp: 1770167984883
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py312he5662c2_1.conda
-  sha256: 49241574c373331ae63d9cb4978836db3b2571176a7db81fe48436c84ce38ff4
-  md5: e9e25949b682e95535068bae33153ba6
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_1.conda
+  sha256: 5f751687a64cf5a6d69ad79aa437f45d6cc388d9e887dcdecff9d3b08cf7fd87
+  md5: 46f6f9bb324a58a9b081bbc56ade37f2
   depends:
   - python
   - cffi >=1.11
@@ -41299,13 +40442,13 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
   - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
-  size: 374949
-  timestamp: 1762512770373
+  size: 380854
+  timestamp: 1762512720226
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
   sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
   md5: 053b84beec00b71ea8ff7a4f84b55207
@@ -41330,33 +40473,33 @@ packages:
   license: PROPRIETARY
   size: 48125269
   timestamp: 1777597181837
-- conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py312_0.conda
-  sha256: 5f085f6406285af00538e7869760f709d423832577eb6cd081acb765ff4d3f53
-  md5: d8112a7ae939c1828a78b7a6c7619a30
+- conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py313_0.conda
+  sha256: b3b378465c090ed666576da4de3dc02cdb66c1bb8ecd3f17bdfd92ef39bcb2b9
+  md5: 648a03b9ed4568deaf050b65cb8f2d49
   depends:
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: PROPRIETARY
-  size: 48551048
-  timestamp: 1777593245194
-- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py312_0.conda
-  sha256: 91ea6fe6649747113ada1333cf2e9031d3c5013a20f87f57081cebc4eee581ec
-  md5: 07e18cdfc8450b2f7c8ef165d8bce050
-  depends:
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  size: 48565775
+  timestamp: 1777593698732
+- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py313_0.conda
+  sha256: fe40517985fabae359f5c227b97fe2d1433d24828a116fb96dc6017478087356
+  md5: 4d70454a9fbc7e6859e998dc40271fde
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: PROPRIETARY
-  size: 44286201
-  timestamp: 1777595386338
-- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py312_0.conda
-  sha256: be12b935a1bdac02f3be55ff7bae5a943787b04663229e600a87e950d2843492
-  md5: 53b4561887f9c1fa713ca8760bdd5bbe
-  depends:
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  size: 44303765
+  timestamp: 1777595570777
+- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py313_0.conda
+  sha256: 44b3e914f351e1778a64ced7ec8efbd9ef85474f6393d3cfe14a19df37c7f3b8
+  md5: c3c73feb63dc1411a37f5e4a7e3daab3
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   license: PROPRIETARY
-  size: 44132070
-  timestamp: 1777593585130
+  size: 44171021
+  timestamp: 1777594088427
 - conda: https://repo.prefix.dev/open-tyndp/noarch/snakemake-minimal-9.16.2+opentyndp-py_0.conda
   sha256: 4eb4b4ef561e211bfc6732d2c08c59dd2901adc182daa982517d23d74d53b44c
   depends:
diff --git a/pixi.toml b/pixi.toml
index 1f9f5b7716..dbc227378f 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -75,13 +75,13 @@ highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.6.1,<0.7.0"
+linopy = ">=0.6.1"
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"
 netcdf4 = ">=1.7.2,!=1.7.4"
 networkx = ">=3.5"
-numpy = ">=1.26.4,<2"
+numpy = ">=1.26.4"
 openpyxl = ">=3.1.5"
 pandas = ">=2.1"
 plotly = ">=6.4.0"
@@ -226,7 +226,10 @@ close-explorers = """
  """
 clean-tyndp = """
      snakemake -call --configfile config/test/config.tyndp.yaml --delete-all-output ;
+     snakemake -call cba --configfile config/test/config.tyndp.yaml --delete-all-output ;
+     snakemake -call --configfile config/test/config.cyears.yaml --delete-all-output ;
      snakemake -call --configfile config/config.tyndp.yaml --delete-all-output ;
+     snakemake -call cba --configfile config/config.tyndp.yaml --delete-all-output ;
      echo "All tyndp outputs have been cleaned up."
  """
 all-tests = {depends-on = ["tyndp-sb-test", "tyndp-cba-test", "clean-tyndp", "integration-tests", "clean-tests", "unit-tests"]}

From e7a4edf091eab62fab99aee93e0aea71413690ea Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 13:09:08 +0200
Subject: [PATCH 084/105] fix: remove latest tag for nitrogen_statistics
 tyndp-archive as a new version has been added

---
 data/versions.csv | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/data/versions.csv b/data/versions.csv
index 5fc988571a..44b4c716b7 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -143,7 +143,7 @@ nitrogen_statistics,2023,primary,latest supported,2025-12-02,,https://d9-wret.s3
 nitrogen_statistics,2023,archive,latest supported,2026-02-26,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2023/myb1-2023-nitro-ERT.xlsx
 nitrogen_statistics,2022,primary,supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
 nitrogen_statistics,2022,archive,supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
-nitrogen_statistics,2022,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nitrogen_statistics/2022/nitro-ert.xlsx
+nitrogen_statistics,2022,tyndp-archive,supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nitrogen_statistics/2022/nitro-ert.xlsx
 nuts3_population,13-03-2025,primary,latest supported,2025-12-02,,https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true
 nuts3_population,13-03-2025,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
 nuts3_population,13-03-2025,tyndp-archive,latest supported,2026-05-08,earlier part of zenodo bundle,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz

From e7f96108d78bd79a75ec82a5d3ccea394f35d18e Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 14:13:39 +0200
Subject: [PATCH 085/105] chore: update .gitignore

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 462948e0cc..6a1aaaddfe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -31,6 +31,7 @@ gurobi.log
 /tmp
 doc/_build
 _build
+site
 
 
 /scripts/old

From 21c2f469e02794beadf6f21e9ed0944ae1582d00 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 15:14:00 +0200
Subject: [PATCH 086/105] doc: fix various issues in the doc when rendering

---
 doc/benchmarking.rst        | 291 -------------
 doc/cba.rst                 | 188 --------
 doc/configuration.md        |  12 +-
 doc/contributors.rst        |  27 --
 doc/faq_troubleshooting.rst | 158 -------
 doc/index.md                |   2 +-
 doc/innovation_roadmap.rst  | 334 --------------
 doc/plotting.md             |  12 +-
 doc/preparation.md          |   6 +-
 doc/release_notes.md        | 836 ++++++++++++++++++------------------
 doc/sb.rst                  | 269 ------------
 doc/scenarios.rst           | 142 ------
 doc/tyndp_2024.rst          | 130 ------
 mkdocs.yml                  |   4 +-
 14 files changed, 445 insertions(+), 1966 deletions(-)
 delete mode 100644 doc/benchmarking.rst
 delete mode 100644 doc/cba.rst
 delete mode 100644 doc/contributors.rst
 delete mode 100644 doc/faq_troubleshooting.rst
 delete mode 100644 doc/innovation_roadmap.rst
 delete mode 100644 doc/sb.rst
 delete mode 100644 doc/scenarios.rst
 delete mode 100644 doc/tyndp_2024.rst

diff --git a/doc/benchmarking.rst b/doc/benchmarking.rst
deleted file mode 100644
index e77b8c4282..0000000000
--- a/doc/benchmarking.rst
+++ /dev/null
@@ -1,291 +0,0 @@
-..
-  SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-
-  SPDX-License-Identifier: CC-BY-4.0
-
-############
-Benchmarking
-############
-
-Open-TYNDP includes a structured benchmarking framework that runs automatically with every
-workflow execution. It provides systematic, reproducible comparisons of Open-TYNDP model
-outcomes against official TYNDP 2024 reference data for both the Scenario Building (SB)
-and Cost-Benefit Analysis (CBA) phases.
-
-* **Scenario Building** outcomes are compared against the `TYNDP 2024 Market Model Output
-  Files <https://2024.entsos-tyndp-scenarios.eu/download/>`_ and the `TYNDP 2024 Final
-  Scenario Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf>`_.
-* **Cost-Benefit Analysis** indicators are benchmarked for all calculated indicators and
-  all projects against the official `TYNDP 2024 CBA results
-  <https://tyndp2024.entsoe.eu/projects-map/transmission>`_.
-
-Benchmarking results are published with every release on `Zenodo
-<https://doi.org/10.5281/zenodo.18608105>`_ (currently only Scenario Building results).
-
-.. warning::
-    Open-TYNDP is under active development and is not yet feature-complete. The current
-    `development status <https://open-tyndp.readthedocs.io/en/latest/index.html#development-status>`__
-    and the general `Limitations <https://open-tyndp.readthedocs.io/en/latest/limitations.html>`__
-    are important to understand before using the model. The following outputs are presented
-    for illustrative purposes and do not reflect the quality of the results.
-
-Benchmarking Methodology
-========================
-
-The benchmarking is based on the methodology proposed by `Wen et al. (2022)
-<https://www.sciencedirect.com/science/article/pii/S0306261922011667>`_. This methodology
-provides a multi-criteria approach to ensure:
-
-- the **diversity** (each indicator has its own added value),
-- the **effectiveness** (each indicator provides essential and correct information),
-- the **robustness** (against diverse units and orders of magnitude), and
-- the **compatibility** (can be used to compare across countries) of the selected set of
-  indicators.
-
-This methodology defines the following accuracy indicators:
-
-- **Missing**: Count of carriers / sectors dropped due to missing values.
-- **sMPE** (Symmetric Mean Percentage Error): Indicates the direction of the deviation,
-  showing if outputs are overall overestimated or underestimated.
-- **sMAPE** (Symmetric Mean Absolute Percentage Error): Indicates the absolute magnitude
-  of the deviations, avoiding the cancellation of negative and positive errors.
-- **sMdAPE** (Symmetric Median Absolute Percentage Error): Provides skewness information
-  to complement sMAPE.
-- **RMSLE** (Root Mean Square Logarithmic Error): Complements the percentage errors by
-  showing logarithmic deviation values.
-- **Growth error**: Shows the error on the temporal scale. This indicator is not applied
-  to dynamic time series (i.e. hourly generation profiles).
-
-Scenario Building Benchmarking
-===============================
-
-Metrics
--------
-
-The following metrics from the `TYNDP 2024 Scenarios Report
-<https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf>`_
-are considered relevant for Scenario Building benchmarking:
-
-* Exogenous inputs:
-
-  * Final energy demand by fuel, EU27 (TWh), (Fig 5, p24 and Fig 51, p63)
-  * Electricity demand per sector, EU27 (TWh), (Fig 6, p25 and Fig 52, p63)
-  * Methane demand by sector, EU27 (TWh), (Fig 8, p27 and Fig 53, p64)
-  * Hydrogen demand by sector, EU27 (TWh), (Fig 10, p28 and Fig 54, p64)
-
-* Investment and dispatch modelling outputs:
-
-  * Net installed capacity for electricity generation, EU27 (GW), (Fig 25, p39 and Fig 55, p65)
-  * Electricity generation, EU27 (TWh), (Fig 26, p39 and Fig 56, p65)
-  * Methane supply, EU27 (TWh), (Fig 32, p45 and Fig 57, p66)
-  * Hydrogen supply, EU27 (TWh), (Fig 33, p46 and Fig 58, p67)
-  * Biomass supply, EU27 (TWh), (Fig 59, p67)
-  * Energy imports, EU27 (TWh), (Fig 40, p51 and Fig 60, p68)
-  * Hourly generation profile of power generation, (Fig 30, p35)
-
-The data is published in the `Scenarios package
-<https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip>`_.
-In addition to the Scenarios Report data, data from the `Market Model
-Outputs <https://2024.entsos-tyndp-scenarios.eu/download/>`_ and the `Visualisation Platform
-<https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/>`_ are also processed and
-included in the relevant figures.
-
-Hourly time series from TYNDP 2024 are aggregated to match the temporal resolution of
-Open-TYNDP. Summary tables are computed for both overall and per-carrier results. Spatially
-resolved benchmarking at bus and country level is available via the
-``benchmarking.spatial.by_bus`` and ``benchmarking.spatial.by_country`` configuration keys.
-
-Workflow
---------
-
-The SB benchmarking workflow is controlled by ``config/benchmarking.default.yaml``.
-
-#. ``retrieve_tyndp``: Retrieve the TYNDP 2024 Scenarios Report Data Figures package.
-#. ``clean_tyndp_report_benchmark``: Read and process the raw Scenarios Report data into
-   a long-format table.
-#. ``clean_tyndp_vp_data``: Read and process the Visualisation Platform data into a
-   long-format table.
-#. ``clean_tyndp_output_benchmark``: Read and process the Market Model Outputs, including
-   cross-border flows, prices, and country and EU27 level values.
-#. ``build_statistics``: Compute benchmarking statistics from the optimised network for
-   every planning horizon.
-#. ``make_benchmark``: Compute accuracy indicators comparing model outcomes against the
-   Market Model Outputs, Scenarios Report, and Visualisation Platform.
-#. ``make_benchmarks``: Collect outputs from all ``make_benchmark`` runs.
-#. ``plot_benchmark``: Generate visualisation outputs.
-#. ``plot_benchmarks``: Collect outputs from all ``plot_benchmark`` runs.
-
-The full set of benchmarking output files is stored under ``results/benchmarks/tyndp-2024/``:
-
-* ``resources/`` — processed benchmarking inputs from both Open-TYNDP and TYNDP 2024.
-* ``csvs_s_{clusters}_{opts}_{sector_opts}_all_years/`` — quantitative tables.
-* ``graphics_s_{clusters}_{opts}_{sector_opts}_all_years/`` — figures.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.csv`` — summary table aggregated from bus level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.csv`` — summary table aggregated from country level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.pdf`` — summary figure aggregated from bus level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.pdf`` — summary figure aggregated from country level KPIs.
-
-The structure of these outputs can be validated in the published preliminary benchmarking results on `Zenodo
-<https://doi.org/10.5281/zenodo.18608105>`_
-
-.. image:: img/tyndp/benchmarking_workflow.png
-
-Outputs
--------
-
-Example of indicators extracted from ``power_generation_cy2009_s_all___all_years.csv`` by countries
-for the NT scenario with hourly resolution:
-
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-Carrier                                   sMPE   sMAPE   sMdAPE    RMSLE  Growth Error  Missing countries  reference                        version
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-**Coal + other fossil (incl. biofuels)**  0.3    0.76    0.25      8.92   -1.87         0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Hydro (exc. pump storage)**             0.01   0.03    0.0       0.06   0.02          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Hydrogen**                              -0.93  1.19    1.21      6.0    -0.51         1                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Methane (incl. biofuels)**              -0.21  0.34    0.17      0.65   0.16          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Nuclear**                               0.08   0.08    0.07      0.08   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Oil (incl. biofuels)**                  0.83   1.18    0.95      10.68  0.12          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Other non-res**                         -0.23  0.31    0.06      1.16   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Other res**                             0      0       0         0      0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Solar**                                 0      0.01    0         0.02   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Wind offshore**                         -0.1   0.11    0         6.23   0.01          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Wind onshore**                          0      0       0         0      0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Demand shedding**                       1.63   1.8     2.0       13.51  0.03          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Solar thermal**                         —      —       —         —      —             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-
-Example of figure created for the final energy demand for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_fed_NT_2030.png
-
-Example of figure including Visualisation Platform data created for the power capacity for
-the NT scenario in 2030 with hourly resolution:
-
-.. image:: img/tyndp/benchmarking_power_capacity_NT_2030.png
-
-Example of figure created for the cross-border flows between countries (focusing on incorrect net direction) for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_elec_crossborder_NT_2030.png
-
-Example of figure created for the electricity prices by country for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_elec_price_NT_2030.png
-
-Example of figure created for the generation profiles for the DE scenario in 2040 with 45SEG:
-
-.. image:: img/tyndp/benchmarking_gen_profiles_DE_2040.png
-
-Example of summary indicators extracted from ``kpis_s_all__all_years_by_country.csv`` for the NT
-scenario with hourly resolution:
-
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-Metric                             sMPE   sMAPE  sMdAPE  RMSLE  Growth Error  Missing carriers  Missing countries  reference                        version
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-biomass_supply                     0.14   0.14   0.11    0.2    0             2                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-crossborder_electricity            -0.03  0.56   0.3     2.29   0             0                 27                 TYNDP 2024 Market Model Outputs  v0.7.1
-crossborder_hydrogen               -0.02  0.31   0.13    0.47   0.05          0                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_demand                 0      0      0       0      0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_demand_shedding_hours  0.41   0.52   0       6.54   0.21          0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_price                  0.11   0.19   0.07    0.3    0.05          0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_price_excl_shed        -0.04  0.12   0.07    0.19   -0.02         0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-energy_imports                     0.52   0.52   0.3     1.15   0.01          1                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-final_energy_demand                0.11   0.11   0.09    0.15   0.01          0                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-generation_profiles                —      —      —       —      —             NA                NA                 —                                v0.7.1
-hydrogen_demand                    -0.22  0.28   0       2.96   0             0                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_demand_shedding_hours     0.38   0.38   0       5.64   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_price                     0.11   0.16   0.03    0.27   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_price_excl_shed           0.01   0.06   0.02    0.11   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_supply                    -0.15  0.38   0.13    2.05   0.06          1                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-methane_demand                     -0.1   0.17   0.16    0.21   0             0                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-methane_supply                     0.1    0.1    0.1     0.1    0             4                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-power_capacity                     0      0      0       0.01   0             1                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-power_generation                   0.28   0.51   0.05    6.99   0             1                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-Total (excl. time series)          0.14   0.31   0.03    1.48   0             13                —                  —                                v0.7.1
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-
-Example of summary figure created for the NT scenario with hourly resolution:
-
-.. image:: img/tyndp/benchmarking_overview_NT.png
-
-Naming conventions
-------------
-
-To align naming conventions across data sources, Open-TYNDP uses a mapping table defined in `tyndp_technology_map.csv <https://github.com/open-energy-transition/open-tyndp/blob/master/data/tyndp_technology_map.csv>`_. This table maps the different naming conventions between the Open-TYNDP, various input data sources and benchmarking tables. It contains the following columns:
-
-* **pemmdb_carrier**: Higher level carrier names as listed in the PEMMDB v2.4 dataset.
-* **pemmdb_type**: Specific carrier technology type as listed in the PEMMDB v2.4 dataset.
-* **pemmdb_hydro_inflows**: Carrier names as listed in the PEMMDB v2.4 hydro inflows dataset.
-* **pecd_carrier**: Carrier names as listed in the PECD v3.1 dataset.
-* **investment_dataset_carrier**: Carrier names as listed in the TYNDP 2024 investment dataset.
-* **tyndp_output_carrier**: Carrier names as listed in the TYNDP 2024 Market Model output files.
-* **tyndp_report_carrier**: Carrier names as listed in the TYNDP 2024 Scenarios Report.
-* **tyndp_vp_carrier**: Carrier names as listed on the TYNDP 2024 Visualization Platform.
-* **open_tyndp_carrier**: Open-TYNDP carrier naming convention representing either an energy carrier or a technology, depending on the context.
-* **open_tyndp_index**: Open-TYNDP technology naming convention found in the component index.
-* **open_tyndp_nice_names**: Open-TYNDP nice names for better readability and aggregation of technologies for reporting purposes.
-* **benchmarking_capacity**: Naming convention for the benchmarking framework's ``power_capacity`` table.
-* **benchmarking_generation**: Naming convention for the benchmarking framework's ``power_generation`` table.
-* **benchmarking_generation_profiles**: Naming convention for the benchmarking framework's ``generation_profiles`` table.
-* **benchmarking_fed**: Naming convention for the benchmarking framework's ``final_energy_demand`` table.
-* **benchmarking_elec_demand**: Naming convention for the benchmarking framework's ``electricity_demand`` table.
-* **benchmarking_ch4_demand**: Naming convention for the benchmarking framework's ``methane_demand`` table.
-* **benchmarking_h2_demand**: Naming convention for the benchmarking framework's ``hydrogen_demand`` table.
-* **benchmarking_ch4_supply**: Naming convention for the benchmarking framework's ``methane_supply`` table.
-* **benchmarking_h2_supply**: Naming convention for the benchmarking framework's ``hydrogen_supply`` table.
-* **benchmarking_biomass_supply**: Naming convention for the benchmarking framework's ``biomass_supply`` table.
-* **benchmarking_energy_imports**: Naming convention for the benchmarking framework's ``energy_imports`` table.
-* **benchmarking_prices**: Naming convention for the benchmarking framework's different ``price`` tables.
-* **benchmarking_shed_hours**: Naming convention for the benchmarking framework's ``electricity_demand_shedding_hours`` and ``hydrogen_demand_shedding_hours`` tables.
-* **open_tyndp_type**: Open-TYNDP technology type for grouping together detailed technologies if ``electricity:group_tyndp_conventionals`` is enabled in the configuration.
-* **pypsa_eur_carrier**: Corresponding PyPSA-Eur carrier/technology if applicable.
-* **comment**: Any additional comments.
-
-Cost-Benefit Analysis Benchmarking
-====================================
-
-CBA indicators computed by Open-TYNDP are benchmarked against the official `TYNDP 2024 CBA
-results <https://tyndp2024.entsoe.eu/projects-map/transmission>`_ for all calculated
-indicators (B1-B4) and all transmission projects. The comparison covers both individual climate year
-runs and multi-climate year averages.
-
-Metrics
--------
-
-The following CBA indicators are benchmarked:
-
-* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
-* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
-* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
-* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
-
-
-Per Climate Year
-----------------
-
-Indicators are first benchmarked for each individual climate year run (e.g. CY2009, CY2008,
-CY1995). This allows deviations to be traced to specific weather conditions and isolates
-the effect of inter-annual climate variability on project benefits. For each climate year,
-all four indicators (B1–B4) are compared against the TYNDP 2024 reference values for every
-transmission project.
-
-Averaged Indicators
--------------------
-
-Following the TYNDP 2024 methodology, indicators are also compared after averaging across
-the three climate years. A weighted average is calculated using weights for each climate year provided by the `TYNDP 2024 CBA Implementation Guidelines <https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1n>`_: 0.233 for 1995, 0.367 for 2008 and 0.4 for 2009.
-
-This averaged comparison is the primary benchmarking target, as it
-reflects the same aggregation approach used in the official TYNDP 2024 CBA. Deviations in
-the averaged indicators provide the most direct measure of how closely Open-TYNDP reproduces
-the official CBA outcomes at the project level.
-
-Workflow
---------
-
-The CBA benchmarking workflow runs automatically after the CBA solve steps and produces
-per-indicator, per-project comparison figures and summary tables for both the individual
-climate year and averaged results. Output files follow the same structure as the SB
-benchmarking and are stored under ``results/[run]/cba/``.
diff --git a/doc/cba.rst b/doc/cba.rst
deleted file mode 100644
index 2eba77f8c2..0000000000
--- a/doc/cba.rst
+++ /dev/null
@@ -1,188 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-###########################
-Cost-Benefit Analysis (CBA)
-###########################
-
-The Cost-Benefit Analysis (CBA) evaluates transmission and storage projects by comparing two dispatch-only simulations: a **reference network** (the baseline grid) and a **project network** (the grid with a specific project added or removed). Unlike the Scenario Building (SB) phase, the CBA does not re-optimize capacities; it reuses the SB's solved network, fixes capacities, and runs dispatch-only optimizations.
-
-.. image:: img/tyndp/SB-CBA-workflow-subsequent-h.png
-    :align: center
-    :alt: Workflow between Scenario Building and CBA
-
-CBA Workflow Methodology
-========================
-
-The workflow evaluates projects using a **rolling horizon** approach where the full year is divided into sequential weekly windows (168 hourly snapshots each, with an overlap of 1 snapshot). 
-
-To resolve **myopia**—where the optimizer cannot see beyond the current week and makes suboptimal decisions for seasonal storage (H2, gas, large hydro)—the workflow uses Marginal Storage Values (MSV) derived from a full-year optimization.
-
-.. image:: img/tyndp/cba-rolling-horizon-pipeline.jpeg
-    :width: 60%
-    :align: center
-    :alt: CBA rolling horizon pipeline diagram
-
-Network Simplification
-----------------------
-The SB network is transformed into a dispatch-ready CBA network:
-
-* **Fixed Capacities:** Capacities are fixed via ``n.optimize.fix_optimal_capacities()``.
-* **Hurdle Costs:** A cost of 0.01 €/MWh is applied to all DC links.
-* **Fuel Capacities:** Primary fuel generator capacities (coal, gas, oil, nuclear) are set to infinity to prevent dispatch from being artificially restricted by fuel-supply limits during peak hours.
-
-Reference Network
------------------
-The simplified network is extended to form the CBA reference baseline by adding all TOOT project capacities. This ensures the reference and MSV extraction operate on the same topology.
-
-MSV Extraction
---------------
-The reference network is solved with **perfect foresight** (entire year, single LP). This exposes the shadow prices (``mu_energy_balance``) of energy balance constraints, representing the **Marginal Storage Value (MSV)**—the opportunity cost of stored energy at that moment.
-
-Rolling Horizon Preparation
----------------------------
-The reference network and MSV results are combined through five transformations:
-* **(a) Initial storage state:** Seasonal components have their initial state set to the perfect foresight solution's last-snapshot value.
-* **(b) Disable cyclicity:** Short-term storage (battery) keeps cyclicity, while seasonal units (H2, gas, hydro) have it disabled, guided instead by MSVs.
-* **(c) Remove global constraints:** Annual CO2 and biomass limits are removed as they cannot be enforced consistently in weekly windows.
-* **(d) Disable annual volume limits:** Annual budgets for biomass/biogas are distributed proportionally to the perfect foresight dispatch.
-* **(e) Apply MSV:** The ``mu_energy_balance`` time series is written into the ``marginal_cost`` of storage components.
-* **(f) Hydro Pinning:** Large hydro reservoirs are pinned to their perfect-foresight state-of-charge values at window boundaries to guide dispatch where duals are near-zero.
-
-Solve
------
-The prepared network is solved for the **Reference** baseline and then for each **Project**. Projects are evaluated using either **TOOT** (Take Out One at a Time) or **PINT** (Put IN at a Time) methods.
-
-CBA Indicators
-==============
-
-Indicators are computed as the difference in system costs and emissions between the reference and project dispatch solutions.
-
-* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
-* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
-* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
-* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
-
-Configuration
-=============
-
-CBA settings are defined in the ``cba`` section of the configuration file. You can refer to
-the `configuration <configuration.html>`_ page for a more comprehensive list of available PyPSA-Eur
-and Open-TYNDP configuration options.
-
-Project Selection
------------------
-* ``planning_horizons``: Selects horizons (e.g., 2030, 2040).
-* ``projects``: Defines project identifiers (e.g., ``t1-t35``).
-* ``cba_scenario_input``: If ``use_presolved`` is true, the workflow retrieves pre-solved SB networks from an archive.
-
-Rolling Horizon Settings
-------------------------
-* ``storage.cyclic_carriers``: Carriers that remain cyclic within each weekly window.
-* ``storage.soc_boundary_carriers``: Carriers pinned at window boundaries.
-* ``msv_extraction.resolution``: Controls temporal resolution for the MSV solve (e.g., ``24H``). 
-
-Running Single vs Multiple Climate Years
-========================================
-
-Climate-year collections allow project benefits to be assessed across multiple weather years, consistent with the 2024 TYNDP implementation.
-
-The CBA entry point ``pixi run tyndp-cba`` can run a **single scenario** that is one single climeate year or a **collection scenario** that defines a list of child (climate years) scenarios under ``cba.scenarios``.
-
-Example Collection (``config/scenarios.tyndp.yaml``):
-
-.. code-block:: yaml
-
-    NT-cy1995:
-    #  <<: *cba-common
-    snapshots:
-        start: "1995-01-01"
-        end: "1996-01-01"
-
-    atlite:
-        default_cutout: europe-1995-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-
-    NT-cy2008:
-    #  <<: *cba-common
-    snapshots:
-        start: "2008-01-01"
-        end: "2009-01-01"
-
-    atlite:
-        default_cutout: europe-2008-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-
-    NT-cy2009:
-    #  <<: *cba-common
-    snapshots:
-        start: "2009-01-01"
-        end: "2010-01-01"
-
-    atlite:
-        default_cutout: europe-2009-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-    NT-cyears:
-      cba:
-        scenarios: [NT-cy2009, NT-cy2008, NT-cy1995]
-
-Individual child scenarios (e.g., ``NT-cy2009``) must define their specific ``snapshots``, ``atlite.default_cutout``, and the ``cba.sb_scenario`` used as input.
-
-.. hint::
-
-   If too many parallel jobs cause out-of-memory issues, you can specify your machine's
-   physical RAM limit in ``profiles/default/config.yaml`` for Snakemake to use
-   when scheduling jobs:
-
-   .. code-block:: yaml
-
-       resources:
-         mem_mb: 16000
-
-Running Multiple Years
-----------------------
-To run a collection like ``NT-cyears``, modify ``run.name`` in ``config/config.tyndp.yaml`` or override it via command line:
-
-.. code-block:: console
-
-    $ pixi run tyndp-cba --config run='{"name":"NT-cyears"}'
-
-Running a Single Climate Year
------------------------------
-Similarly, a single climate year can be run by modifying ``run.name``  in ``config/config.tyndp.yaml`` to the desired scenario (e.g., ``NT-cy2009``) or overriding it via command line:
-
-.. code-block:: console
-
-    $ pixi run tyndp-cba --config run='{"name":"NT-cy2009"}'
-
-
-Checkpoint
-==========
-
-If you run the CBA workflow for the first time, you might not see a full DAG and instead only see a small number of steps listed in your DAG (including a step called ``clean_projects``). 
-
-This rule represents a checkpoint in the workflow that first checks how many projects are being asked to run before building out the full DAG. 
-Specifically, the checkpoint tells the workflow which CBA projects exist, which project IDs to run, and which method applies (TOOT/PINT).
-
-Thus, if you see only a few steps in your DAG, it is because Snakemake has not yet reached the checkpoint to determine the full list of projects to evaluate. 
-This short DAG is therefore not reflective of the actual number of steps that will run once the checkpoint is passed.
- 
-After ``clean_projects`` finishes and the checkpoint passes, Snakemake can read the cleaned CSV and expand the DAG into concrete jobs, at which point you will see the full set of steps.
-
-To run the workflow only up to the checkpoint, one can use the ``pixi run tyndp-checkpoint`` command, which executes all steps up to and including the checkpoint. 
-
-.. code-block:: console
-
-    $ pixi run tyndp-checkpoint
-
-After this, you can run the full workflow with ``pixi run tyndp-cba`` to execute all remaining steps, including those that follow the checkpoint.
\ No newline at end of file
diff --git a/doc/configuration.md b/doc/configuration.md
index 23f14c7c14..e14bbf4143 100644
--- a/doc/configuration.md
+++ b/doc/configuration.md
@@ -147,7 +147,12 @@ Configuration for `foresight` settings.
 
 ## `tyndp_scenario` {#tyndp_scenario_cf}
 
-{{ schema_table("tyndp_scenario") }}
+Configuration for `tyndp_scenario` settings.
+
+- **Type:** enum (`NT`, `DE`, `GA`, `false`)
+- **Default:** `false`
+
+Scenario configuration of the TYNDP data, which is one of `NT`, `DE` or `GA`. `false` disables the TYNDP-specific rules.
 
 **YAML Syntax**
 
@@ -1096,12 +1101,13 @@ Configuration for `overpass_api` settings.
 
 ## `benchmarking` {#benchmarking_cf}
 
-{{ schema_table("benchmarking") }}
+!!! note
+    Schema table not yet available for `benchmarking` (tracked separately from the main configuration schema).
 
 **YAML Syntax**
 
 ```yaml
-{{ yaml_section("benchmarking", source="benchmarking") }}
+{{ yaml_section("benchmarking", source="benchmarking.default.yaml") }}
 ```
 
 
diff --git a/doc/contributors.rst b/doc/contributors.rst
deleted file mode 100644
index ce7847524e..0000000000
--- a/doc/contributors.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-####################
-Contributors
-####################
-
-
-The following people have `contributed
-<https://github.com/open-energy-transition/Open-TYNDP/graphs/contributors>`_ significantly
-towards the development of Open-TYNDP:
-
-* 2024-2026 Thomas Gilon (OET)
-* 2024-2026 Daniel Rüdt (OET)
-* 2024-2026 Jonas Hörsch (OET)
-* 2024-2026 Martha Frysztacki (OET)
-* 2024-2026 Max Parzen (OET)
-* 2025-2026 Lisa Zeyen (OET)
-* 2025-2026 Carlos Gaete (OET)
-* 2025-2026 Will Usher (OET)
-* 2026 Markus Groissböck (OET) 
-* 2026 Andreas Hernandez Denyer (OET)
-
-For licensing purposes, this team is referred to as *Contributors to Open-TYNDP* (see :doc:`licenses`).
-
-This project builds upon the work of other communities, especially PyPSA-Eur and PyPSA communities. For the list of contributors, see the following links: `PyPSA-Eur <https://github.com/PyPSA/PyPSA-Eur/graphs/contributors>`__ and `PyPSA <https://pypsa.readthedocs.io/en/stable/references/developers.html>`__.
\ No newline at end of file
diff --git a/doc/faq_troubleshooting.rst b/doc/faq_troubleshooting.rst
deleted file mode 100644
index 8fde71fc1f..0000000000
--- a/doc/faq_troubleshooting.rst
+++ /dev/null
@@ -1,158 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _faq_troubleshooting:
-
-###############################################
-FAQ and Troubleshooting
-###############################################
-
-This page contains frequently asked questions about the Open-TYNDP project:
-
-General Questions
-==================
-
-.. admonition:: What is Open-TYNDP?
-
-   Open-TYNDP is an open-source research and innovation project, which is a collaboration between `Open Energy Transition (OET) <https://openenergytransition.org/>`__ and ENTSO-E. The project aims to explore the option of a complementary open-source tool in the Ten-Year Network Development Plan (TYNDP) by building a workflow based on PyPSA-Eur. It provides one streamlined tool for the Scenario Building (SB) and the Cost-Benefit Analysis (CBA) of the TYNDP.
-
-.. admonition:: How does Open-TYNDP relate to PyPSA-Eur?
-
-   Open-TYNDP is a soft-fork of OET/PyPSA-Eur and contains the entire Open-TYNDP project supported by OET, including code and documentation. The workflow automatically downloads publicly available data from an archived repository. OET/PyPSA-Eur itself is a soft-fork of PyPSA/PyPSA-Eur and builds on the open-source ecosystem of PyPSA.
-
-.. admonition:: Is Open-TYNDP ready for production use?
-
-   Open-TYNDP is under active development and is not yet feature-complete. The current development status and general limitations are important to understand before using the model. Please refer to :doc:`limitations` and :ref:`development-status` for more details. The latest version of the model is always available on `GitHub <https://github.com/open-energy-transition/open-tyndp>`__.
-
-.. admonition:: When will Open-TYNDP be ready?
-
-   The project is currently back-casting the 2024 TYNDP cycle to build confidence before aligning with the 2026 TYNDP cycle in Q2 2026. The :ref:`development-status` page provides a detailed roadmap of implemented and planned features.
-
-.. admonition:: How to use Open-TYNDP?
-
-    To explore, run, and modify Open-TYNDP, we recommend cloning the repository from `GitHub <https://github.com/open-energy-transition/open-tyndp>`__, which will give you access to the latest version of the model. As Open-TYNDP relies on a set of Python packages, you also need to install these dependencies. Please refer to :ref:`clone_repo` and :ref:`deps` for more details. However, if you are only interested in getting a first hands-on experience, we also provide a lightweight web-based experience using the `interactive workshops notebooks <https://open-energy-transition.github.io/open-tyndp-workshops>`_.
-
-
-Technical Questions
-===================
-
-.. admonition:: Which operating systems are supported?
-
-   The Open-TYNDP workflow is continuously tested for Linux, MacOS and Windows WSL.
-
-.. admonition:: I'm having trouble installing Open-TYNDP or getting started. Where should I start?
-
-   The most common installation issues involve Python environment setup and solver configuration. We recommend using ``pixi`` for environment management. For solver setup, HiGHS is included by default for testing, but commercial solvers are supported as well. See :doc:`installation` for detailed platform-specific instructions, solver configuration guidance and alternative environment manager if you prefer using ``conda``.
-
-.. admonition:: What computational resources do I need to run Open-TYNDP models?
-
-   Full TYNDP scenario runs require significant computational resources: typically 55GB RAM, 8 CPU cores, and 1h15 runtime for NT scenario and a single planning horizon, using a commercial solver such as Gurobi. However, CBA assessment requirements are lower, typically running on standard workstations and HiGHS for around a minute per project. For testing and exploration, you can use smaller configurations using reduced temporal/spatial resolution that run on standard workstations and HiGHS. The TYNDP test configuration defined by ``config/test/config.tyndp.yaml`` is a good starting point. You can also explore lightweight and web-based examples using the `interactive workshops notebook <https://open-energy-transition.github.io/open-tyndp-workshops>`_.
-
-.. admonition:: What solver do I need to solve Open-TYNDP models?
-
-    It depends on the model you want to run. We recommend using HiGHS for exploring and testing the models at low temporal resolution, typically `52SEG`. HiGHS can also be used for CBA assessments. However, with higher temporal resolution, the SB models are larger and require a commercial solver.
-
-.. admonition:: What should I do if the Open-TYNDP workflow is not running through?
-
-   If you're experiencing issues running the workflow, please try the following troubleshooting steps:
-
-   1. **Ensure you're on the latest version**: Pull the latest changes from the repository, as recent bug fixes may resolve your issue: ``git pull origin master``
-
-   2. **Update your environment**: Make sure your environment is up to date with the latest dependencies. For pixi users: ``pixi update``. For conda users: ``conda env update -f envs/environment.yaml`` followed by ``conda activate open-tyndp``.
-
-   3. **Perform a clean run**: Clear cached results and force Snakemake to rebuild everything from scratch: ``snakemake -F``
-
-   4. **Review your configuration**: Check if you made any recent changes to ``config.yaml`` that might be causing issues. Try reverting to the default configuration to see if the problem persists. Verify that all file paths and settings are correct.
-
-   5. **Clear temporary and cache files**: Sometimes corrupted temporary files can cause issues. Remove the ``.snakemake`` directory: ``rm -rf .snakemake``
-
-   6. **Verify data downloads**: Ensure that all data retrieval steps completed successfully. Check if downloaded input files are complete and not corrupted.
-
-   7. **Test with a minimal configuration**: Try running the workflow with a simplified configuration (e.g., fewer scenarios, smaller geographical scope, single weather year) to isolate the issue.
-
-   8. **Check for specific error messages**: Look at the terminal output for specific error messages that indicate which rule is failing and why.
-
-   9. **Re-create your environment**: In some rare cases the environment gets corrupted and needs to be re-created. The simplest way is exiting the current pixi environment, deleting the .pixi directory and entering the pixi shell again via e.g., ``pixi shell -e open-tyndp``. An example of such an error is e.g.., that out of nothing snakemake returns a runtime error without having changed the installed packages at all.
-
-   If none of these steps resolve your problem, please feel free to open an issue on our `GitHub repository <https://github.com/open-energy-transition/open-tyndp>`__ or contact us directly (see :doc:`support`).
-
-.. admonition:: My workflow is failing or producing unexpected results. How do I troubleshoot?
-
-   Start by running ``snakemake -call --configfile config/config.tyndp.yaml -n`` (dry-run) to validate workflow structure without execution. Then, check log files in ``logs/`` and verify intermediate results at each workflow stage. For persistent issues, see :doc:`support` for community assistance channels.
-
-.. admonition:: I would like to develop my own features in a fork. What are your recommendations?
-
-   We recommend following the `soft-fork strategy <https://open-energy-transition.github.io/handbook/docs/Engineering/SoftForkStrategy>`_ maintained by Open Energy Transition (OET). This approach allows you to maintain your own fork with custom features while staying synchronized with upstream improvements from both Open-TYNDP and PyPSA-Eur. The strategy provides guidance on organizing changes, managing merge conflicts, and contributing improvements back to the upstream repositories when appropriate.
-
-.. admonition:: Why do I get a ValueError about renaming 'name' in the offshore constraints?
-
-   This error occurs when running Open-TYNDP code with an older PyPSA version (e.g., 0.35.2) from a recycled conda environment. The Open-TYNDP master branch is compatible with PyPSA v1, which uses different dimension naming than older versions (`Issue #337 <https://github.com/open-energy-transition/open-tyndp/issues/337>`_).
-
-   **Fix:** Always recreate your conda/pixi environment when cloning or updating the repository. Update to Open-TYNDP v0.4.1 or later for backward compatibility (`PR #339 <https://github.com/open-energy-transition/open-tyndp/pull/339>`_). We recommend using the most recent locked environment for each release.
-
-.. admonition:: Using Windows WSL: Why is snakemake so slow?
-
-   Running Open-TYNDP within Windows comes with the risk of mixing activities on Linux-controlled and Windows-controlled filesystems.
-
-   **Fix:** To ensure the best performance all data related to Open-TYNDP needs to be stored within the Linux-controlled filesystem (.e.g, "/home/userA/open-tyndp").
-
-Model Data and Assumptions
-===========================
-
-.. admonition:: What data sources and assumptions does Open-TYNDP use, and where can I find them?
-
-   Open-TYNDP integrates TYNDP 2024 data (electricity demand, hydrogen topology, PECD renewable profiles, PEMMDB capacities, CBA projects and more) with PyPSA-Eur's open-source workflow. All data sources and their licenses are documented in :doc:`tyndp_2024`. The Open-TYNDP reproduces the 2024 TYNDP-specific assumptions and methodology based on the `TYNDP 2024 Scenarios Methodology Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__.
-
-.. admonition:: How can I verify that Open-TYNDP results are reliable and accurate?
-
-   Open-TYNDP includes a comprehensive benchmarking framework that validates model outputs against published TYNDP 2024 data using a multi-criteria approach. The framework is documented in :doc:`benchmarking` and the current results for NT scenario in the dedicated section of the `3rd workshop notebook <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results>`__. Be aware that Open-TYNDP is under active development (see :doc:`limitations` and :ref:`development-status`), and validation is ongoing as features are implemented.
-
-Flexibility and Independence
-=============================
-
-.. admonition:: Can I use Open-TYNDP with my own private data?
-
-   Yes, you can use Open-TYNDP with your own private data. The open-source nature of the codebase means you have full flexibility to integrate your proprietary or confidential data without any obligation to make it public. We covered this topic during the `3rd workshop <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#modify-assumptions>`__.
-
-.. admonition:: Do I need to share my code modifications or developments?
-
-   No, there is no obligation to share your code modifications or developments publicly. You have full governance over your own fork. You can keep your code and development private while still benefiting from updates and improvements in the Open-TYNDP repository. You can update your private codebase based on changes in Open-TYNDP at your own pace.
-
-.. admonition:: Am I required to contribute my changes back to Open-TYNDP?
-
-   No, contributions are welcome but entirely voluntary. You are free to use Open-TYNDP without any obligation to contribute back. However, contributing improvements, bug fixes, or new features helps strengthen the ecosystem and benefits the broader community.
-
-.. admonition:: Can I collaborate with other organisations privately?
-
-   Yes, you can collaborate with other organisations privately. There is no obligation to share data or code publicly when working with partners. Independent organisations can develop their own private repositories using the publicly available Open-TYNDP codebase, enabling private collaboration while maintaining interoperability through the shared foundation.
-
-.. admonition:: What are the benefits of the open-source approach?
-
-   The open-source approach provides several benefits: full independence in governance and decision-making, flexibility to keep parts of your work private, ability to request support and feature development from other actors in the ecosystem, interoperability with other organisations using the same foundation, and opportunities for co-developing features through partnerships when desired.
-
-Explore results
-================
-
-.. admonition:: Where can I find the latest results?
-
-   The preliminary results for the NT scenario and the corresponding benchmarking outputs are presented in the `3rd workshop notebook <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results>`_. However, new fixes and features are constantly integrated in the model. The latest networks and corresponding benchmarks are also available in a `ZIP archive <https://storage.googleapis.com/open-tyndp-data-store/runs/NT-1H-20251209.zip>`__. Be aware that Open-TYNDP is under active development (see :doc:`limitations` and :ref:`development-status`), and validation is ongoing as features are implemented.
-
-.. admonition:: Is there a way to interactively visualize results?
-
-   Yes, the `PyPSA-Explorer <https://github.com/open-energy-transition/PyPSA-Explorer>`_ provides interactive visualization capabilities for Open-TYNDP results. This tool was introduced in the `3rd workshop <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#interactive-exploration-with-pypsa-explorer>`_.
-
-Contributing and Support
-========================
-
-.. admonition:: How can I contribute to Open-TYNDP?
-
-   We strongly welcome contributions! You can file issues or make pull requests on `Github <https://github.com/open-energy-transition/open-tyndp>`_ or directly on the `PyPSA-Eur Upstream <https://github.com/PyPSA/PyPSA-Eur>`_. Please also refer to the :doc:`contributing` section.
-
-.. admonition:: Where can I get help if I encounter issues?
-
-   Please refer to the :doc:`support` page for various ways to reach out to us and the community, including Discord, mailing lists, and issue trackers.
-
-.. admonition:: Where can I report bugs or request features?
-
-   For bugs and feature requests, please use the `Open-TYNDP issues <https://github.com/open-energy-transition/open-tyndp/issues>`_.
diff --git a/doc/index.md b/doc/index.md
index aa4373f38f..e1ddfd5a78 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -7,7 +7,7 @@
 ![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/open-energy-transition/open-tyndp?include_prereleases)
 ![commits behind PyPSA-Eur](https://img.shields.io/github/commits-difference/open-energy-transition/open-tyndp?base=master&head=PyPSA:pypsa-eur:master&label=commits%20behind%20PyPSA-Eur)
 [![CI](https://github.com/open-energy-transition/open-tyndp/actions/workflows/test.yaml/badge.svg)](https://github.com/open-energy-transition/open-tyndp/actions)
-[![Documentation](https://readthedocs.org/projects/pypsa-eur/badge/?version=latest)](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
+[![Documentation](https://readthedocs.org/projects/open-tyndp/badge/?version=latest)](https://open-tyndp.readthedocs.io/en/latest/?badge=latest)
 ![GitHub repo size](https://img.shields.io/github/repo-size/open-energy-transition/open-tyndp)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg)](https://doi.org/10.5281/zenodo.19372053)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
diff --git a/doc/innovation_roadmap.rst b/doc/innovation_roadmap.rst
deleted file mode 100644
index e80190f6c2..0000000000
--- a/doc/innovation_roadmap.rst
+++ /dev/null
@@ -1,334 +0,0 @@
-..
-  SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-
-  SPDX-License-Identifier: CC-BY-4.0
-
-.. _innovation_roadmap:
-
-##########################################
-Innovation Roadmap
-##########################################
-
-The tables below compare the current and upcoming features of the Open TYNDP workflow (and those already implemented in PyPSA-Eur) to the
-`TYNDP Innovation Roadmap <https://tyndp.entsoe.eu/resources/tyndp-scenarios-innovation-roadmap>`_ which lists desirable features for the 2026 TYNDP cycle.
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - TYNDP 2024
-     - Current Open TYNDP Implementation  
-     - Comparison with PyPSA-Eur
-   * - TYNDP 2024 brings together a suite of tools into a toolchain to develop the scenarios. These include:
-           - Energy Transition Model
-           - Supply Tool
-           - DFT
-           - PLEXOS
-           - Visualisation Platform
-           - Data files
-           - Antares*
-           - Promed (internal)*
-           - APG Tool (internal)*
-       Asterix (*) marks tools used only for Cost Benefit Analysis
-     - The current Open-TYNDP implementation for Scenario Building focuses on:
-           - Replicating the functionalities of PLEXOS as the core market simulation tool
-           - Providing automated workflow for input data processing via Snakemake
-           - Implementing visualization of the results
-
-       We use existing outputs from Supply Tool and DFT as inputs, rather than replacing these tools in the Open-TYNDP.
-
-     - PyPSA-Eur has the capability to cover all components of the TYNDP toolchain (including calculating capacity factors, heat demand time series, and total annual demands).
-       
-       Supply Tool and DFT could be replaced within the Open-TYNDP framework, but this would require:
-
-       - Code adaptations to be integrated back into PyPSA-Eur core functionality
-       - Explicit assumptions about technology specifications (e.g., types of onshore wind farms, PV panel characteristics) to generate accurate capacity factors
-       - Either adopting PyPSA-Eur's standard assumptions or documenting a new set of transparent assumptions (noting that existing TYNDP assumptions behind Supply Tool/DFT are not publicly available)
-
-Innovations on the Energy Transition Model (ETM)
-================================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 5.1 Dashboard
-           - All graphs for the TYNDP 2026 report will be integrated into a reactive dashboard
-     - Open TYNDP will feature a dashboard that allows users to explore the results of the scenarios interactively
-     - PyPSA-Eur offers automated plotting of energy balance maps and heatmap time series. Recent updates include interactive bus-balance plots and heat-source maps
-   * - 5.2 Improvement of Reference Values
-           - Update residential space heating and hot water technology shares using more granular national data rather than 2019 EUROSTAT energy statistics
-     - Open-TYNDP has refined electricity demand and biomass potentials to achieve an exact match with reference values
-     - This challenge is shared by Open TYNDP. For the existing heating technologies in terms of capacities per country the `DG ENER mapping analysis <https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en>`_ is used, an update is needed.
-       For district heating shares `Fraunhofer ISI data <https://fordatis.fraunhofer.de/handle/fordatis/341.5>`_.
-       This data source is also used for geothermal heat potentials.
-       PyPSA-Eur recently updated its energy balances to JRC-IDEES-2021, switching the reference year to 2019.
-   * - 5.3 Addition of climate year functionality
-         - Integrate weather years into energy demand scenarios including heating demand (electricity demand from heat pumps and boilers) and all final energy demands 
-         - Produce a set of sectoral energy demand profiles for each scenario
-     - Open-TYNDP reproduces TYNDP 2024 methodology, so uses the same assumptions concerning final energy demand
-     - PyPSA-Eur now supports spanning multiple consecutive or meteorological weather years in a single optimization. It provides pre-built cutouts for a wide range of years (e.g., 1996, 2010–2023). Total electricity demand is endogenous in the optimisation, as it is calculated from energy service demands and the endogenous choice of demand technologies (such as heat-pumps or gas boilers). The performance of the demand technologies as well as the demand itself is therefore a function of weather parameters calculated from climate scenarios. This could be integrated into the automated Open TYNDP workflow instead of using exogenous demands for e.g. natural gas.
-   * - 5.4 Include missing non-EU countries 
-           - Include missing non-EU countries such as Norway, Switzerland, and Serbia
-           - Split the UK into separate datasets for Great Britain and Northern Ireland
-     - Open TYNDP implements the same regional coverage as TYNDP 2024
-     - Open TYNDP covers the full ENTSO-E area and has recently integrated Ukraine, Moldova, and Kosovo. 
-       PyPSA-Eur supports NUTS-level clustering across these regions. 
-       This makes it relatively easy to create a spatial representation including Norway, Switzerland and Serbia (or any other countries).
-       Norway, UK & Switzerland are part of the reference grid, but new data would need to be collected
-   * - 5.5 Stable ETM server for 2026 cycle
-           - ensure that a stable version of the ETM is available with consistent data and features for the duration of the 2026 cycle
-     - Open-source frameworks achieve stability through version control. To manage computational environment, conda-lock files are used for dependency management and Snakemake version requirements 
-       (e.g., minimum version 9.0) to ensure cross-platform reproducibility.
-     - ditto
-   * - 5.6 Integrate supply tool features in ETM 
-            - Merging supply modeling features (CCS, imports, biomass) directly into the ETM to reduce interfaces and provide a coherent energy system representation
-     - Open TYNDP currently uses exogenous demand assumptions in line with TYNDP 2024. Open-TYNDP is an integrated cross-sectoral model. 
-       It already includes CO_2 sequestration potentials (``CO2Stop``), optimising CO2 storage, CCS technologies, carbon networks, regional biomass potentials and transport costs, 
-       and automated import price configurations.
-     - PyPSA-Eur already integrates supply and demand features into a full integrated workflow.
-   * - 5.7 Demand profile modelling in ETM
-           - Model hourly methane and hydrogen profiles instead of using internal ENTSOG tool ensuring full consistency with scenario assumptions
-           - Model hourly electricity demand profiles, creating a strong link to scenario parameters and demand profiles while leaving flexibility for TSOs to choose adoption
-     - Open-TYNDP has implemented the attachment of exogenous TYNDP gas and hydrogen demands to the network.
-     - Unlike TYNDP's fixed hydrogen and methane demands, PyPSA-Eur models final energy service demands (industrial process heat, heating, etc.) and endogenously optimises which energy carrier (hydrogen, methane, electricity) meets each demand. This allows the model to capture technology competition and fuel switching based on relative costs and availability.
-
-Pan-European Market Modelling Database App
-==========================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - The PEMMDB app will provide an API to allow efficient data transfer into the PLEXOS model 
-     - The Open TYNDP workflow already automates data integration through REST API calls to various sources, as well as automatically downloading, extracting, transforming and filtering data for all of its inputs.
-     - 
-
-Quality Control
-===============
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - Perform sanity checks on each scenario, for example preventing simultaneous dispatch of electrolysers and H2/gas-fired plants, ensuring reasonable levels of curtailment and Energy Not Served, 
-       comparing generator margins, corss-sector assets and storage investment costs
-     - Open TYNDP already offers:
-           - Automated plotting of energy balances for each carrier, enabling quick identification of potential issues such as simultaneous electrolyser operation and hydrogen consumption
-           - Curtailment with technology-specific values
-           - Comprehensive n.statistics module for rapid evaluation key metrics
-           - Basic consistency checking via n.consistency_check() to validate network topology and parameter ranges
-     - Further development work could allow automated sanity checks with warnings for scenario-specific thresholds (e.g., flagging curtailment levels above 15%)
-
-System Modelling Innovations
-============================
-
-The bulk of innovations are listed under system modelling.
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 8.1 Hydrogen storage
-           - differentiate between short-term and seasonal storage needs
-           - better representation of operational constraints of storage facilities such as salt caverns and aquifers
-           - align national and modelling studies on storage capacities
-           - incorporate techno-economic constraints of hydrogen supply
-           - improve pipelines modelling to reflect transport flexibility
-     - Open-TYNDP follows the same methodology as TYNDP for hydrogen infrastructure.
-     - One could adapt back to PyPSA-Eur assumptions with some small modifications. PyPSA-Eur already implements:
-           - Long-term storage in salt caverns and aquifers, and short-term storage in medium or high-pressure steel tanks
-           - Technical potential constraints - Underground storage capacities in salt caverns are limited based on technical potential estimations from Caglayan et al. (2020)
-           - Environmental considerations - Default configuration includes only nearshore underground storage potential (within 50 km of shore) due to environmental concerns regarding highly saline brine disposal. 
-             However, the model offers flexibility to select from three storage types: nearshore (<50 km from sea), onshore (>50 km from sea), or offshore
-           - Pipeline modeling - Endogenous optimization of methane-to-hydrogen pipeline retrofitting, hydrogen transport losses, and transport flow modeling in the pipeline network
-       The following could be implemented with minor code extensions:
-           - Minimum hydrogen storage fill levels to account for working gas requirements
-           - Electrolyser ramp-up and ramp-down constraints reflecting technical flexibility limits
-           - Minimum run requirements for electrolysers (must-run constraints)
-           - Line packing in H2 pipelines: Could be modeled as additional storage capacity
-       While this would be hard to implement:
-           - Physical hydrogen flows with pressure modeling: Full representation of pressure-dependent flow dynamics would require fundamental changes to the transport model architecture and substantially increase computational complexity
-   * - 8.2 Integration of Hybrid heat pumps
-         - Ensure hybrid systems are correctly sized for applications, considering peak demand scenarios
-         - Ensure assumptions incorporate both economics and behavioural considerations
-     - The current implementation supports hybrid heating systems as an investment option alongside standalone heat pumps, resistive heaters, and gas boilers. Various heat pump types and the calculation of the corresponding COP are included. 
-       Heating capacity sizing is endogenously optimized based on full-year hourly heating demand profiles, ensuring adequate capacity for peak demand periods while minimising total system costs.
-       
-     - In PyPSA-Eur, all investment decisions are purely economics-driven based on cost optimization. Behavioral considerations, such as consumer preferences are not currently incorporated.
-       Behavioral constraints could be integrated if formulated as explicit technical or policy constraints, for example, 
-       maximum deployment rates to limit annual heat pump installations to realistic adoption curves (e.g., maximum 5% annual increase in heat pump penetration per region)
-   * - 8.3 Grid topology
-         - Incorporate more detailed representation of H2 network topology that approximates physical H2 flow to ensure key H2 corridors and infrastructure are well represented
-     - Detailed H2 network topology is already implemented. Open-TYNDP uses the TYNDP H2 topology, including Z1 and Z2 setup. H2 flow are represented as a linear transport model. 
-     - Line packing could be added easily.
-       Physical flows including pressure drops would be harder, and result in a non-linear optimisation.
-       PyPSA-Eur supports administrative clustering (NUTS0 to NUTS3), allowing the network to be resolved at highly granular levels.
-   * - 8.4 Gas turbine usage and peaking unit utilisation 
-         - Explore dynamic operational needs of gas turbines given increasing reliance of variable renewable resources
-         - Update assumptions around CH4 to H2 retrofitting projects, which have struggled to compete in current markets
-     - Open-TYNDP follows TYNDP methodology 
-     - Open TYNDP allows for endogenous retrofitting of CH4 plants to operate with H2, or retrofitting of gas boilers to run with H2
-   * - 8.5 EV Modelling
-         - Ensure that electricity flows follow charge/discharge cycles of EV batteries
-     - Simultaneous charging/discharging is avoided in PyPSA framework used by Open TYNDP by the use of small marginal costs.
-     - PyPSA-Eur refines Vehicle-to-Grid (V2G) dispatch capacity and temperature-dependent energy demand correction factors for EVs. These will be incorporated in Open TYNDP during a future update.
-   * - 8.6 Economic Assessment
-         - incorporate economic assessment of key technologies such as Steam Methane Reformers (SMR), nuclear plants, ammonia regasification terminals which are currently represented without economic attributes
-     - Open TYNDP incorporates default capital investment and fixed and variable operation cost assumptions for all technologies based on the open-source `technology-database <https://github.com/PyPSA/technology-data>`_
-     - All relevant features of already implemented
-   * - 8.7 Methane pricing structure and formation
-            - Resolve pricing inconsistences between synthetic natural gas, biomethane and hydrogen
-     - High consistency is assured through using open licensed databases which are checked by multiple people. The automated workflow guarantees same currency year and units
-     - All relevant features of already implemented
-   * - 8.8 Ammonia Import costs
-           - Ensure ammonia import costs reflect the entire supply chain
-     - Open-TYNDP follows TYNDP methodology 
-     - PyPSA-Eur includes location and capacities of European ammonia plants. Ammonia import prices and volumes can be configured.
-       Supply chain costs can be modelled directly for all green carriers. See `Neumann et al. (2025) <https://www.nature.com/articles/s41467-025-60652-1>`_
-   * - 8.9 Distinguish between hydrogen use as energy or feedstock 
-           - Separating hydrogen used directly as a gas from hydrogen used as a feedstock for producing synthetic fuels
-     - Open-TYNDP follows TYNDP methodology 
-     - H2 use for energy and feedstock purposes is already clearly distinguished, which includes a suite of technologies for methanol-to-power, reforming, and kerosene, and updated locations/capacities for ammonia plants to accurately distribute demand.
-   * - 8.10 Flexibility of heat pumps
-           - Incorporate heat-pump modelling into PLEXOS to better represent flexibility, thermal inertia and heat storage
-     - Open TYNDP implements the TYNDP methodology for modelling hybrid heating
-     - PyPSA-Eur incorporates heat pump modelling for various types of heat pumps, including the calculation of the COP
-           - differentiates between rural/urban, service/residential, district/individual heating
-           - for district heating different types of thermal storage are modelling, including constraints on the energy-to-power ration, booster heat pumps to get to the necessary temperature level of the district heating network
-           - for individual heating small thermal storage in form from water tanks is included
-           - endogenous decision on building renovation can be modelled, with country-specific building stock data and renovation costs
-           - thermal inertia of buildings is not modelled, could be presented by a free thermal storage
-             Includes an option to calculate dynamic storage capacities for thermal energy storage. Also includes aquifer thermal energy storage, and supplemental heating such as booster heat pumps.
-   * - 8.11 Modelling of E-fuels 
-           - Allow transportation of e-methanol, e-methane and e-kerosene via pipelines, ships or tanker trucks
-           - Incorporate full load hours into spatial optimisation of e-fuel refineries and supply infrastructure
-     - <TODO>
-     - <TODO>
-   * - 8.12 Higher granularity topology
-           - Adding more nodes per country and differentiating between prosumer and non-prosumer households for accurate grid interaction modeling
-     - Open TYNDP builds on PyPSA Eur which has enables highly spatial and temporally resolved modelling
-     - PyPSA-Eur was designed for highly resolved spatial and temporal modelling. It supports multiple resource classes for wind and solar per region to improve accuracy at low spatial resolutions. It also allows for behind-the-meter rooftop PV modeling.
-           - higher spatial resolution is possible, also the data can be added on a higher spatial resolution with finer granularity
-           - distribution grid with associated costs and losses can be modelled, but data for existing infrastructure of the distribution grid as well as regional investment costs is missing
-           - on the distribution level connected are EV charging, rooftop PV, electricity demand for individual heating technologies
-           - different types of PV panels can be modelled on the distribution grid level (see `Rahdan et al. (2025) <https://www.nature.com/articles/s41467-025-61492-9>`_, and `Rahdan et al. (2024) <https://www.sciencedirect.com/science/article/pii/S0306261924001041>`_
-   * - **8.13 Improved modelling of prosumer demand**
-     - Open TYNDP allows connection of microgeneration e.g. residential solar PV to be connected to low voltage buses.
-       Residential and utility scale PV are treated separately, with separate rules in the workflow to build and cluster rooftop potentials.
-       Open TYNDP also distinguishes between stationary/utility-scale batteries, home batteries and EV batteries.
-     - All relevant features of already implemented
-   * - **8.14 Consider peaking units as expansion candidates**
-     - Open TYNDP is a capacity expansion model by nature and can be set to build new peaking units whenever they are the cost-optimal way to ensure reliability.
-     - All relevant features of already implemented
-   * - **8.15 Check on remaining CO2 emissions in 2050**
-     - Open TYNDP models the full CO2 management (not only emissions, but also CCS, storage, CO2 networks). Remaining emissions can be checked in the final csvs and automated plots.
-     - A simple extension is to add an extra constraint on top of the CO2 price, e.g. that CO2 emissions have to be net-zero in 2050
-   * - 8.16 Implementation of hybrid electrolyser plants
-           - Implementing plants connected to both dedicated renewables and the grid to optimize production and market coupling
-     - Open-TYNDP implements offshore wind hubs where wind farms can connect to both the network and P2G units for H2 production
-     - Existing studies such as `Zeyen et al. (2024) <https://iopscience.iop.org/article/10.1088/1748-9326/ad2239>`_ have investigated this with PyPSA
-       showing that implementation is possible for Open TYNDP model.
-   * - 8.17 Hydrogen imports and pipeline assessment
-           - Modeling practical volumes and prices for pipeline imports to evaluate energy security and dependence.
-     - <TODO>
-     - PyPSA-Eur implemented renewable energy imports for H2, ammonia, methanol, and oil with configurable prices and volume limits.
-   * - **8.18 Geographical correlation in hydrogen production**
-     - Open-TYNDP ensures geographical correlation by attaching planning-year dependent renewable profiles from the PECD to specific generators within interconnected zones
-     - <TODO>
-
-Stakeholder Reference Group (SRG) Proposals
-===========================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 9.1 Synthetic Fuels
-           - Incorporating methanol for the maritime sector to align with decarbonization goals and identify infrastructure needs
-     - <TODO>
-     - PyPSA-Eur introduced methanol-based technologies (e.g., biomass-to-methanol) in its 2024.09 release. PyPSA-Eur defaults maritime demand to methanol.
-       Methanol can be used also in various other sectors (e.g. as back up power, in industry, as kerosene). See `Glaum et al. (2025) <https://arxiv.org/html/2505.09277v1>`_
-   * - 9.2 Climatic Variability
-           - Suggesting models run with three different climatic years to assess impact on energy security
-     - <TODO>
-     - PyPSA-Eur is designed for this; it integrates with atlite to process multi-year datasets and supports spanning these in a single model.
-  
-   * - 9.3 Industrial applications
-           - Verify technical and commercial viability of converting industrial gas offtakes to H2 or other carriers before grid expansion
-     - 
-     - PyPSA-Eur interpolates industry sector transition pathways, gradually switching processes from status quo to best-in-class energy consumption per ton of material output.
-       One can also choose to model the supply of process heat for industry (split in low, medium, high) endogenously, so cost-optimal solution would be found for potential switch from methane to hydrogen/power/biomass 
-   * - 9.4 Sector-specific modelling
-           - Discuss the Z1 Z2 concept to streamline management across gas, electricity, and hydrogen vectors
-     - Open-TYNDP has already introduced the TYNDP H2 topology, which specifically includes the H2 Z1 and Z2 setup, production, and storage technologies
-     -
-   * - 9.5 EV modelling techniques
-           - refine assumptions on EV charging behavior and their impact on potential grid bottlenecks
-     - 
-     - PyPSA-Eur now limits Vehicle-to-Grid (V2G) dispatch capacity based on the fraction of vehicles participating in demand-side management. It also refines temperature-dependent correction factors for EV energy demand.
-       Since the distribution grid is modelled (without the corresponding topology), just as an capacity expansion with corresponding costs, one can investigate the relation between flexible EV charging and necessary distribution grid capacity
-   * - 9.6 District heating
-           - Create a dedicated tool distinct from the ETM to simulate production from biomass, geothermal, and other sources
-     - 
-     - PyPSA-Eur already features a highly detailed district heating module. Recent additions include geothermal district heating, aquifer thermal energy storage (ATES), and booster heat pumps for supplemental heating
-
-   * - 9.7 Liquified hydrogen
-           - Explore LH2 import methods to understand logistical, storage, and cost constraints
-     -
-     - PyPSA-Eur implements a "H2 liquid" bus at each location to specifically handle hydrogen liquefaction costs for shipping demand
-   * - 9.8 H2 Import Quotas
-           - Align hydrogen import quotas with RepowerEU targets to avoid overestimating domestic production
-     - 
-     -
-   * - 9.9 Electric heat pumps
-           - Move heat pump modeling to PLEXOS to better capture thermal inertia and load management
-     - 
-     - Thermal inertia of buildings could be modelled as an additional store but is not implemented in PyPSA-Eur. Heat demand reductions by endogenous optimisation of building renovation is implemented in PyPSA-Eur.
-   * - 9.10 Optimisation Across Energy Vectors
-           - Expanding PLEXOS to integrate electricity, gas, and hydrogen systems holistically
-     - Open-TYNDP optimizes these vectors simultaneously by default
-     - PyPSA-Eur optimizes these vectors simultaneously by default
-   * - 9.11 Transmission System Losses
-           - Reassessing losses to reflect actual power flow dynamics more accurately
-     -
-     - PyPSA-Eur allows for piecewise linear approximation of transmission losses and provides the option to disable efficiency losses for specific carriers.
-   * - 9.12 Additional hydrogen production pathways
-           - Integrating methane pyrolysis and waste-to-hydrogen processes
-     - 
-     - PyPSA-Eur has already integrated biomass-to-hydrogen (with or without carbon capture) and supports custom technology adjustments via configuration.
-   * - 9.13 Flexibility in modelling
-           - Focus on load displacement (shifting demand) rather than just load reduction to maximize renewable use
-     - Open TYNDP follows TYNDP methodology so exhibits the same limitation. 
-     - PyPSA-Eur has higher flexibility since all sectors are modelled (instead of fixed exogenous demand for H2).
-   * - 9.14 Price setting for hydrogen
-           - Revise methodology to reflect real-world contracts and costs like dehydrogenation
-     - As an integrated sector-coupled model, endogenous pricing of hydrogen includes all represented upstream processes
-     - ditto
-   * - 9.15 Sensitivity to commodity prices
-           - Conduct sensitivity analyses on price fluctuations (gas, oil, H2) to understand investment risks
-     - Workflow management tool snakemake enables the simultaneous execution of multiple scenarios with single calls and configuration overrides
-     - The solution space could be scanned for near optimal solutions using e.g. the MGA method (see `Millinger et al. (2025) <https://www.nature.com/articles/s41560-024-01693-6>`_)
-   * - **9.16 Inclusion of emerging technologies**
-     - The collaborative approach offered by Open TYNDP provides a formal review process by which new technologies can be included in the analysis
-     - 
-   * - 9.17 Out of scope Innovations
-           - Carbon Capture and utilisation
-           - Innovative Grid Technologies
-     - Open TYNDP includes a detailed representation of CCS and CDR technologies including carbon sequestration sites
-     - 
diff --git a/doc/plotting.md b/doc/plotting.md
index af5b94666e..09379f3329 100644
--- a/doc/plotting.md
+++ b/doc/plotting.md
@@ -29,11 +29,11 @@
 
 ## Rule `plot_base_offshore_network`
 
-::: plot_base_offshore_network
+::: plot_offshore_network
 
 ## Rule `plot_offshore_network`
 
-::: plot_base_offshore_network
+::: plot_offshore_network
 
 ## Rule `plot_power_network_clustered`
 
@@ -93,9 +93,13 @@
 
 ::: plot_interactive_bus_balance
 
-## Rule `clean_tyndp_benchmark`
+## Rule `clean_tyndp_output_benchmark`
 
-::: clean_tyndp_benchmark
+::: clean_tyndp_output_benchmark
+
+## Rule `clean_tyndp_report_benchmark`
+
+::: clean_tyndp_report_benchmark
 
 ## Rule `clean_tyndp_vp_data`
 
diff --git a/doc/preparation.md b/doc/preparation.md
index 3b5878e073..96889a685b 100644
--- a/doc/preparation.md
+++ b/doc/preparation.md
@@ -102,7 +102,7 @@ together into a detailed PyPSA network stored in `networks/base_s_{clusters}_ele
 
 ## Rule `build_electricity_demand_tyndp`
 
-::: build_electricity_demand_tyndp
+::: build_electricity_demand
 
 ## Rule `build_hac_features`
 
@@ -156,6 +156,10 @@ together into a detailed PyPSA network stored in `networks/base_s_{clusters}_ele
 
 ::: prepare_network
 
+## Rule `prepare_pecd_release`
+
+::: prepare_pecd_release
+
 ## Rule `clean_pecd_data`
 
 ::: clean_pecd_data
diff --git a/doc/release_notes.md b/doc/release_notes.md
index aad1e0ead3..6e44a86fa1 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -9,35 +9,35 @@
 
 **Features**
 
-* Add Snakemake rules to launch the `PyPSA-Explorer` with pre-solved SB networks from previous releases (https://github.com/open-energy-transition/open-tyndp/pull/724).
+* Add Snakemake rules to launch the `PyPSA-Explorer` with pre-solved SB networks from previous releases ([#724](https://github.com/open-energy-transition/open-tyndp/pull/724)).
 
 **Changes**
 
-* Add `Undefined for generation` hydrogen demand to the Market Model data for the Hydrogen Supply benchmark (https://github.com/open-energy-transition/open-tyndp/pull/718).
+* Add `Undefined for generation` hydrogen demand to the Market Model data for the Hydrogen Supply benchmark ([#718](https://github.com/open-energy-transition/open-tyndp/pull/718)).
 
-* Update CBA workflow to accept different pre-solved SB network versions as input (https://github.com/open-energy-transition/open-tyndp/pull/725).
+* Update CBA workflow to accept different pre-solved SB network versions as input ([#725](https://github.com/open-energy-transition/open-tyndp/pull/725)).
 
-* Add pixi tasks for running CBA workflow up until checkpoint `clean_projects` (https://github.com/open-energy-transition/open-tyndp/pull/726).
+* Add pixi tasks for running CBA workflow up until checkpoint `clean_projects` ([#726](https://github.com/open-energy-transition/open-tyndp/pull/726)).
 
-* Update pixi task names and definitions to align between SB and CBA workflows (https://github.com/open-energy-transition/open-tyndp/pull/735).
+* Update pixi task names and definitions to align between SB and CBA workflows ([#735](https://github.com/open-energy-transition/open-tyndp/pull/735)).
 
-* Use only electricity-sourced emissions for and change signs of B2 and B4 indicators (https://github.com/open-energy-transition/open-tyndp/pull/709).
+* Use only electricity-sourced emissions for and change signs of B2 and B4 indicators ([#709](https://github.com/open-energy-transition/open-tyndp/pull/709)).
 
-* Pass through and validate default solving options for CBA solve (https://github.com/open-energy-transition/open-tyndp/pull/708):
+* Pass through and validate default solving options for CBA solve ([#708](https://github.com/open-energy-transition/open-tyndp/pull/708)):
 
-  - Make breaking change by moving `cba.solving.options.horizon` and `cba.solving.options.overlap` to `cba.solving.horizon` and `cba.solving.overlap`, respectively.
-  - Add `include_objective_constant` and `assign_all_duals` to solving config validator.
-  - Add `gurobi-simplex` as solver option.
+    - Make breaking change by moving `cba.solving.options.horizon` and `cba.solving.options.overlap` to `cba.solving.horizon` and `cba.solving.overlap`, respectively.
+    - Add `include_objective_constant` and `assign_all_duals` to solving config validator.
+    - Add `gurobi-simplex` as solver option.
 
 **Bugfixes and Compatibility**
 
 **Documentation**
 
-* Update benchmarking documentation tables and figures for v0.7.1 (https://github.com/open-energy-transition/open-tyndp/pull/711).
+* Update benchmarking documentation tables and figures for v0.7.1 ([#711](https://github.com/open-energy-transition/open-tyndp/pull/711)).
 
 **Developers Note**
 
-* Change GitHub issue templates to comply with ISO security checks (https://github.com/open-energy-transition/open-tyndp/pull/714, https://github.com/open-energy-transition/open-tyndp/pull/730).
+* Change GitHub issue templates to comply with ISO security checks ([#714](https://github.com/open-energy-transition/open-tyndp/pull/714), [#730](https://github.com/open-energy-transition/open-tyndp/pull/730)).
 
 
 ## Upcoming PyPSA-Eur Release
@@ -72,6 +72,314 @@
 
 - Added solar rooftop ratio setting to `add_existing_baseyear` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
 
+
+## PyPSA-Eur v2026.02.0 (18th February 2026, merged 17th June 2026)
+
+**Features**
+
+* **Updated energy balances:**
+
+    - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
+      ([#1976](https://github.com/PyPSA/pypsa-eur/pull/1976)).
+
+    - Build energy balances from Eurostat API data with new rule [build_eurostat_balances][]
+      ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
+
+    - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
+      from SFOE website in `build_swiss_energy_balances` ([#2057](https://github.com/PyPSA/pypsa-eur/pull/2057)).
+
+* **Better electricity demand data:**
+
+    - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires `ENTSOE_API_KEY`)
+      and NESO data portal for Great Britain and Northern Ireland ([#1828](https://github.com/PyPSA/pypsa-eur/pull/1828)).
+
+    - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
+      (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
+      ([#1829](https://github.com/PyPSA/pypsa-eur/pull/1829)).
+
+* **Updated electricity network data:**
+
+    - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
+      (start_date, construction tags), and pure DC buses (switching stations).
+      Rebuilt interactive network map using PyDeck/deck.gl ([#2052](https://github.com/PyPSA/pypsa-eur/pull/2052), [#2030](https://github.com/PyPSA/pypsa-eur/pull/2030)).
+
+    - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
+      ([#2064](https://github.com/PyPSA/pypsa-eur/pull/2064), [#2054](https://github.com/PyPSA/pypsa-eur/pull/2054)).
+
+    - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
+      ([#1646](https://github.com/PyPSA/pypsa-eur/pull/1646)).
+
+* **Improved power plants and industrial sites data:**
+
+    - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
+
+    - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
+      `from_gem` to `from_powerplantmatching`. New `from_irenastat` setting supplements capacity estimation
+      ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+    - Waste-to-energy plants now included in electricity-only networks ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+    - Updated GEM steel plant tracker and initial GEM cement plant tracker ([#1830](https://github.com/PyPSA/pypsa-eur/pull/1830)).
+
+* **Improved storage:**
+
+    - Added new storage technologies, including iron-air batteries. These can be configured as
+      either store-link combinations or standalone storage units. Implemented in both [add_electricity][] and
+      [prepare_sector_network][] ([#1961](https://github.com/PyPSA/pypsa-eur/pull/1961)).
+
+    - Existing battery storage capacities from Powerplantmatching can be added as `StorageUnit` components using
+      plant-level duration data ([#2071](https://github.com/PyPSA/pypsa-eur/pull/2071)).
+
+* **Updated technology parameters:**
+
+    - Added technology-data v0.13.4 to data versions ([#1985](https://github.com/PyPSA/pypsa-eur/pull/1985)).
+
+* **Better data, configuration and dependency management:**
+
+    - Data versions now version controlled in `data/versions.csv` with configurable per-scenario specifications
+      ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675), [#1963](https://github.com/PyPSA/pypsa-eur/pull/1963)).
+
+    - Use validation schema for configuration files. Schema contains default values;
+      changes to `config/config.default.yaml` now require schema updates
+      ([#1912](https://github.com/PyPSA/pypsa-eur/pull/1912)).
+
+    - Move to Pixi for robust cross-platform dependency management ([#1886](https://github.com/PyPSA/pypsa-eur/pull/1886)).
+
+* Updated CO2 emission allowance prices to use Instrat API for real-time pricing data
+  ([#2035](https://github.com/PyPSA/pypsa-eur/pull/2035)).
+
+* Added CO2 emission prices configurable per planning horizon as marginal cost on `co2 atmosphere` Store
+  ([#1897](https://github.com/PyPSA/pypsa-eur/pull/1897)).
+
+* Nuclear energy availability factors now stored with annual data per country in `data/nuclear_p_max_pu.csv`;
+  model automatically selects year nearest to weather year ([#2072](https://github.com/PyPSA/pypsa-eur/pull/2072)).
+
+* Added interactive HTML balance maps in `results/maps/interactive/` with configurable settings
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Added `solving.options.store_model` config option to store the linopy model as NetCDF after solving
+  (not supported with rolling horizon) ([#2001](https://github.com/PyPSA/pypsa-eur/pull/2001)).
+
+* Added residential heat demand-side management (DSM) based on SmartEN study methodology
+  ([#1857](https://github.com/PyPSA/pypsa-eur/pull/1857)).
+
+* Xpress solver configuration options (`xpress-default` and `xpress-gpu`) with barrier method settings for
+  large-scale problems ([#2006](https://github.com/PyPSA/pypsa-eur/pull/2006)).
+
+* `clustering: consider_efficiency_classes` now accepts list of quantile boundaries (e.g. `[0.1, 0.5, 0.9]`)
+  in addition to boolean; default unchanged ([#2075](https://github.com/PyPSA/pypsa-eur/pull/2075)).
+
+* Added existing biomass decentral/rural residential and services heating capacity
+  ([#1872](https://github.com/PyPSA/pypsa-eur/pull/1872)).
+
+* Introduced method to overwrite costs via `costs:custom_cost_fn` for techno-economic assumptions
+  ([#1752](https://github.com/PyPSA/pypsa-eur/pull/1752), [#1879](https://github.com/PyPSA/pypsa-eur/pull/1879)).
+
+* Added minimum unit dispatch setting option for electrolysis ([#1859](https://github.com/PyPSA/pypsa-eur/pull/1859)).
+
+* Added integration with OETC platform ([#1831](https://github.com/PyPSA/pypsa-eur/pull/1831)).
+
+**Changes**
+
+* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec`
+  in favour of technology-data repository values ([#2043](https://github.com/PyPSA/pypsa-eur/pull/2043)).
+
+* Rewritten power plant mapping to model regions/buses using spatial joins instead of nearest-bus approach.
+  Necessary due to administrative clustering conformance changes
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Setting `from_gem` renamed to `from_powerplantmatching`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Function `rescale_idees_from_eurostat` removed ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
+
+* Removed `shared_cutouts` configuration entry; cutouts always shared. Use differently named cutouts for
+  scenario-specific temporal/spatial resolution ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutouts relocated to `data/cutouts/` directory; will trigger re-download/rebuild. Move existing cutouts
+  manually if needed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutout bounds must now be explicitly defined in configuration; inference from `regions_onshore` and
+  `regions_offshore` removed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutout preparation configuration moved to nested `prepare_kwargs` dictionary
+  ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Configuration options `enable: retrieve`, `enable: retrieve_databundle`, and `enable: retrieve_cost_data`
+  removed; rules always included ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Removed `secrets` configuration section and Gurobi license credentials from config files to prevent
+  accidental exposure of sensitive data ([#1989](https://github.com/PyPSA/pypsa-eur/pull/1989)).
+
+* Configuration schema updater allowing soft-fork changes without modifying base PyPSA-Eur files
+  ([#2056](https://github.com/PyPSA/pypsa-eur/pull/2056)).
+
+* Removed outdated hotfixes in [build_powerplants][] ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Updated `powerplants_filter` to include plants operational in 2025
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Default year for renewable capacity estimation updated to 2024 ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
+
+* Added 2030 to power plant grouping years by default ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Disabled `powerplantmatching` phase-out heuristic in [build_powerplants][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Applied scaling of kW and GW to MW for custom costs ([#2023](https://github.com/PyPSA/pypsa-eur/pull/2023)).
+
+* Refactored [solve_network][] and [solve_operations_network][] separating optimization problem preparation
+  from solving ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`
+  ([#1902](https://github.com/PyPSA/pypsa-eur/pull/1902)).
+
+* Static balance maps relocated to `results/maps/static/` ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Bus carriers for balance maps with spaces must use underscores in configuration for SLURM compatibility
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Overpass API configuration options added (URL, retries, timeout, user agent)
+  ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+
+* Added script path getter helper method for rule inheritance in nested snakefiles
+  ([#1997](https://github.com/PyPSA/pypsa-eur/pull/1997)).
+
+* Updated standing losses for PTES, central TTES, and decentral TTES to latest DEA technology data (v0.13.3)
+  ([#1791](https://github.com/PyPSA/pypsa-eur/pull/1791)).
+
+* Disabled PTES dynamic capacity by default ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+
+* Distribution grid experimental feature: voltage levels from 63 kV to 750 kV with example configuration
+  ([#1740](https://github.com/PyPSA/pypsa-eur/pull/1740)).
+
+* Allow expandable CCGTs by default ([#1796](https://github.com/PyPSA/pypsa-eur/pull/1796)).
+
+* Reverted to PDF files for graphs generated with [plot_summary][] ([#2083](https://github.com/PyPSA/pypsa-eur/pull/2083)).
+
+* Add user-readable messages to each rule ([#1846](https://github.com/PyPSA/pypsa-eur/pull/1846)).
+
+* Running perfect foresight marked as unstable ([#1853](https://github.com/PyPSA/pypsa-eur/pull/1853)).
+
+* Empty auto-generated folders (`resources/`, `results/`) added to repository; `purge` rule preserves folders
+  ([#1764](https://github.com/PyPSA/pypsa-eur/pull/1764)).
+
+* Improved handling of grouping years in [add_existing_baseyear][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Automatically update DAGs in documentation ([#1880](https://github.com/PyPSA/pypsa-eur/pull/1880)).
+
+**Bugfixes and Compatibility**
+
+* Fixed offshore wind potentials by disregarding CORINE land cover data for offshore technologies.
+
+* Increased minimum required PyPSA version to 0.33.2 ([#1849](https://github.com/PyPSA/pypsa-eur/pull/1849)).
+
+* Custom storage plugin for Zenodo retrievals to address recurring failures
+  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, [#1913](https://github.com/PyPSA/pypsa-eur/pull/1913)).
+
+* Fixed unit commitment compatibility for PyPSA v1.0 component API
+  ([#2049](https://github.com/PyPSA/pypsa-eur/pull/2049)).
+
+* Fixed rolling horizon optimisation to work in [solve_network][] in addition to [solve_operations_network][];
+  drop cyclicity constraints with `rolling_horizon: true`
+  ([#2070](https://github.com/PyPSA/pypsa-eur/pull/2070)).
+
+* Fixed unit commitment parameters scaling start-up costs with nominal power capacity
+  ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+
+* Pinned `grpcio<1.78` to silence cluttering warnings ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+
+* Fixed CO2Stop ID column handling across versions ([#2077](https://github.com/PyPSA/pypsa-eur/pull/2077)).
+
+* Ensured renewable carriers not added as conventional power plants if in `powerplants.csv`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Fixed wildcards error in [clean_osm_data][] rule message ([#2022](https://github.com/PyPSA/pypsa-eur/pull/2022)).
+
+* Fixed `None` default config parameter creating zero offshore wind availability
+  ([#2019](https://github.com/PyPSA/pypsa-eur/pull/2019)).
+
+* Fixed virtual bus naming in raw OSM transmission network to use persistent names
+  ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Fixed column selection when preparing OSM pre-built releases ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Fixed capital cost of `solar-hsat` not adjusted to current planning horizon in myopic optimization
+  ([#1965](https://github.com/PyPSA/pypsa-eur/pull/1965)).
+
+* Fixed `ConsistencyError` for Links without buses when `gas_network: true` but no `conventional_generation`
+  ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+
+* Fixed `ConsistencyError` for Links without buses when `industry: true` but no `conventional_generation` or
+  `biomass` ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+
+* Fixed `mock_snakemake` due to upstream Snakemake API changes requiring `LoggerManager` instance
+  ([#1984](https://github.com/PyPSA/pypsa-eur/pull/1984)).
+
+* Fixed compatibility with `pyogrio>=0.12.0` in [build_gas_input_locations][] and [build_gas_network][]
+  ([#1955](https://github.com/PyPSA/pypsa-eur/pull/1955)).
+
+* Fixed PyPSA-Eur use as Snakemake module by ensuring all file paths relative to rule inputs/outputs
+  ([#1967](https://github.com/PyPSA/pypsa-eur/pull/1967)).
+
+* Fixed OSM network building via Overpass API ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+
+* Fixed parsing of Swiss passenger cars data ([#1934](https://github.com/PyPSA/pypsa-eur/pull/1934), [#1936](https://github.com/PyPSA/pypsa-eur/pull/1936)).
+
+* Fixed `ValueError` with `cop_heat_pump` in [prepare_sector_network][] when `tim_dep_hp_cop` is
+  `false` ([#1929](https://github.com/PyPSA/pypsa-eur/pull/1929)).
+
+* Fixed OSM raw data cleaning to include `section` line relation role ([#1927](https://github.com/PyPSA/pypsa-eur/pull/1927)).
+
+* Fixed missing raw OSM HVDC links defined using `power=circuit` tag ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+
+* Fixed load shedding bugs from incorrect `sign` argument in `n.add` and `np.isscalar`
+  ([#1908](https://github.com/PyPSA/pypsa-eur/pull/1908)).
+
+* Fixed Eurostat data retrieval on Windows by avoiding double temporary file access
+  ([#1825](https://github.com/PyPSA/pypsa-eur/pull/1825)).
+
+* Fixed `AttributeError` in [prepare_sector_network][] with single country and cluster
+  ([#1835](https://github.com/PyPSA/pypsa-eur/pull/1835)).
+
+* Fixed `ValueError` in [prepare_sector_network][] `add_storage_and_grids` with few nodes
+  ([#1780](https://github.com/PyPSA/pypsa-eur/pull/1780)).
+
+* Fixed `AttributeError` in [prepare_sector_network][] with single country
+  ([#1778](https://github.com/PyPSA/pypsa-eur/pull/1778)).
+
+* Fixed `FileNotFoundError` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
+  directory level in multiple `retrieve.smk` rules ([#1768](https://github.com/PyPSA/pypsa-eur/pull/1768)).
+
+* Fixed heat pump CAPEX allocation to heat bus and removed nominal efficiency from CAPEX calculation
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+
+* Fixed heat pump COP approximation configuration passing to `CentralHeatingCopApproximator`
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+
+* Fixed `pandas>=2.3.0` deprecation warnings ([#1898](https://github.com/PyPSA/pypsa-eur/pull/1898)).
+
+* Fixed WDPA links on Windows ([#2008](https://github.com/PyPSA/pypsa-eur/pull/2008)).
+
+* Fixed WDPA and WDPA Marine data download and extraction ([#2005](https://github.com/PyPSA/pypsa-eur/issues/2005)).
+
+* Added automatic retry for Zenodo HTTP requests to handle transient errors
+  ([#1861](https://github.com/PyPSA/pypsa-eur/pull/1861)).
+
+* Fixed missing cost name for geothermal-sourced heat pump and allowed in test configs
+  ([#1766](https://github.com/PyPSA/pypsa-eur/pull/1766)).
+
+* Changed error handling for non-extendable heat storage energy-to-power ratio constraints to warning
+  ([#1769](https://github.com/PyPSA/pypsa-eur/pull/1769)).
+
+* Removed snakemake SLURM plugin from Windows installations ([#2009](https://github.com/PyPSA/pypsa-eur/pull/2009)).
+
+* Added missing bidding zone data sources to data layer ([#1991](https://github.com/PyPSA/pypsa-eur/pull/1991)).
+
+* Removed pinned environment files mention from pre-commit-config-yaml ([#1837](https://github.com/PyPSA/pypsa-eur/pull/1837)).
+
+
 ## Open-TYNDP v0.7.1 (19th May 2026)
 **Bugfixes and Compatibility**
 
@@ -269,6 +577,7 @@
 
 * Refactor the `validation` folder within `benchmarks/tyndp-2024` to ensure consistency in naming conventions (https://github.com/open-energy-transition/open-tyndp/pull/550).
 
+
 ## Open-TYNDP v0.5.1 (18th February 2026)
 **Features**
 
@@ -318,501 +627,193 @@
 
 * Introduce calculation of B2 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/348).
 
-* Introduce calculation of B3 indicators in the Cost-Benefit Analysis (CBA) based on renewable energy integration (https://github.com/open-energy-transition/open-tyndp/pull/350).
-
-* Introduce calculation of B4 indicator in the Cost-Benefit Analysis (CBA) based on changes in non-CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/398).
-
-* Set short-term storage to cyclic in CBA dispatch (https://github.com/open-energy-transition/open-tyndp/pull/385).
-
-* Add availability profiles for nuclear power plants (https://github.com/open-energy-transition/open-tyndp/pull/447). The profiles are derived from the Market Outputs files for the NT scenario. Generation time series are normalized to per-unit values and resampled weekly, retaining the maximum availability factor per week to account for maintenance schedules and forced outages.
-
-* Add PyPSA-Explorer to workflow (https://github.com/open-energy-transition/open-tyndp/pull/443). The explorer will launch automatically in a new browser tab.
-
-* Add automated plotting for CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/352).
-
-* Add benchmarking of CBA indicators against TYNDP 2024 reported values (https://github.com/open-energy-transition/open-tyndp/pull/405).
-
-* Add Market Model outputs to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/458). Additional minor fixes: SMR and SMR with CCS are now reported as a single group, and e-fuels are excluded from hydrogen demand since they are already accounted for in the exogenous demand.
-
-**Changes**
-
-* Improve general assumptions for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/430). This includes refining assumptions relating to efficiencies, fuel costs and extendable technologies.
-
-* Extend PyPSA-Eur validation schema for configuration files to Open-TYNDP specific configurations (see https://github.com/PyPSA/pypsa-eur/pull/1912) (https://github.com/open-energy-transition/open-tyndp/pull/419). Find a detailed explanation in the contributors documentation.
-
-* Assign CBA method assignment of projects before creation of project network, using data from CBA Implementation Guide (https://github.com/open-energy-transition/open-tyndp/pull/426).
-
-* Fix project capacities in CBA reference network (https://github.com/open-energy-transition/open-tyndp/pull/450).
-
-* Add preprocessing of Market Model benchmark data (https://github.com/open-energy-transition/open-tyndp/pull/372). All relevant Market Model output data is mapped to the naming convention used in the benchmarking plots.
-
-* Enable `io_api` direct mode for CBA rolling horizon to improve performance (https://github.com/open-energy-transition/open-tyndp/pull/402).
-
-**Bugfixes and Compatibility**
-
-* Add virtual TYNDP nodes for IT and LU to `clusted_pop_layout` to enable consistent use of its index when selecting modelled electricity nodes (https://github.com/open-energy-transition/open-tyndp/pull/360).
-
-* Enable unlimited capacity for primary fuel generators in CBA rolling horizon (https://github.com/open-energy-transition/open-tyndp/pull/408).
-
-* Fix processing of H2 demand profiles and PEMMDB profiles for compatibility with the climate year being a leap year like 2008 (https://github.com/open-energy-transition/open-tyndp/pull/414).
-
-* Fix to allow for bidirectional electricity and hydrogen interconnections between offshore hubs (https://github.com/open-energy-transition/open-tyndp/pull/445). To shore connections remain unidirectional as defined in the inputs.
-
-* Improve power generation benchmarking for renewables (https://github.com/open-energy-transition/open-tyndp/pull/457). Reported values now include curtailment.
-
-**Documentation**
-
-* Add documentation describing the CBA workflow and CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/392).
-
-* Explain the Open TYNDP implementation of the scenario approach (https://github.com/open-energy-transition/open-tyndp/pull/449).
-
-* Add FAQ entry for PyPSA v1 compatibility issue (https://github.com/open-energy-transition/open-tyndp/pull/381).
-
-**Developers Note**
-
-* Add scenario column to the `custom_costs.csv` file to allow for shared adjustments across scenarios (https://github.com/open-energy-transition/open-tyndp/pull/361).
-
-* Align the data structure of the TYNDP archives with that of upstream (https://github.com/open-energy-transition/open-tyndp/pull/451). These changes ensure that all the data is retrieved in an identical structure to the primary source, and as individual compressed archives.
-
-* Reformat CBA indicators output CSV to long format and to include units (https://github.com/open-energy-transition/open-tyndp/pull/401).
-
-
-## Open-TYNDP v0.4.2 (23rd January 2026)
-**Features**
-
-* Add automated Windows installer for easy setup on Windows systems (https://github.com/open-energy-transition/open-tyndp/pull/333). The installer bundles pixi, the repository, and sets up the conda environment automatically. Installer executables are automatically built and attached to GitHub releases. See `utils/windows-installer/` for details.
-
-* Integrate Open-TYNDP specific data into the data versioning system introduced upstream (see https://github.com/PyPSA/pypsa-eur/pull/1675) (https://github.com/open-energy-transition/open-tyndp/pull/363). Consequently, the rule `retrieve_additional_tyndp_data` is deprecated.
-
-**Bugfixes and Compatibility**
-
-* Fix Windows compatibility issues and make other minor improvements (https://github.com/open-energy-transition/open-tyndp/pull/357).
-
-* Correct handling of electrolyzer capacities between optimization years (https://github.com/open-energy-transition/open-tyndp/pull/370).
-
-**Documentation**
-
-* Add innovation roadmap comparison, mapping existing or new developments in PyPSA-Eur and Open TYNDP to desired features for TYNDP 2026 (https://github.com/open-energy-transition/open-tyndp/pull/341)
-
-
-## Open-TYNDP v0.4.1 (23rd December 2025)
-**Bugfixes and Compatibility**
-
-* Retrieve countries_centroids.geojson using brotli encoding (https://github.com/open-energy-transition/open-tyndp/pull/334).
-
-* Ensure backward compatibility for custom offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/339).
-
-
-## Open-TYNDP v0.4 (16th December 2025)
-**Features**
-
-* Introduce a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (https://github.com/open-energy-transition/open-tyndp/pull/149). The workflow structure has rules for retrieving CBA project data, processing transmission and storage projects from Excel exports, creating reference networks, building individual project networks, solving network optimizations, and computing CBA indicators.
-
-* Add the TOOT reference network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/199).
-
-* Add the TOOT project network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/211).
-
-* Add weekly rolling horizon optimization for CBA networks (https://github.com/open-energy-transition/open-tyndp/pull/217). Implements `solve_cba_network` rule for optimizing dispatch of TOOT and PINT reference and project networks.
-
-* Introduce calculation of B1 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system costs (https://github.com/open-energy-transition/open-tyndp/pull/186).
-
-* Add TYNDP conventional thermal generation using PEMMDB capacities, must-runs and availabilities (https://github.com/open-energy-transition/open-tyndp/pull/195).
-
-* Add TYNDP electrolyzer capacities for the National Trends scenario using PEMMDB data (https://github.com/open-energy-transition/open-tyndp/pull/248).
-
-* Add the TYNDP hydrogen demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/169, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/230).
-
-* Add the TYNDP gas demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/208, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/220). Introduces `sector:gas_demand_exogenously` configuration to decide whether to attach this demand to the network. Introduces `benchmarking:remove_last_day` to optionally remove the last day of the year, ensuring the benchmarked values have exactly 52 weeks. Removes `sector:use_industry_load` configuration as industry is now integrated in the exogenous demand.
-
-* Add CO2 emission prices configurable per planning horizon for sector-coupled models (https://github.com/open-energy-transition/open-tyndp/pull/198). The CO2 price is added as a marginal cost on the `co2 atmosphere` Store.
-
-* Improve the overall benchmarking framework by correcting bus mappings for methane supply, biomass supply, and BtL for FED; grouping H2 pipeline imports together (low carbon and renewables); using a new H2 demand figure (Fig. 10 instead of 54) with correct grouping of exogenous demands; reducing EU-wide statistics to EU27 where possible; and improving biomass supply benchmarking with a new figure (Fig. 22 instead of 59) (https://github.com/open-energy-transition/open-tyndp/pull/281).
-
-**Breaking Changes**
-
-* Move all SB scripts to `scripts/sb/` and rules to `rules/sb.smk`, and renamed CBA rules file from `rules/cba/main.smk` to `rules/cba.smk` for consistency (https://github.com/open-energy-transition/open-tyndp/pull/278).
-
-* Rename `clean_tyndp_demand` to `clean_tyndp_electricity_demand` for clarity (https://github.com/open-energy-transition/open-tyndp/pull/272).
-
-**Changes**
-
-* Improve electricity demand processing and benchmarking to achieve an exact match between the benchmarked and reference values (https://github.com/open-energy-transition/open-tyndp/pull/192).
-
-* Adjust solid biomass and biogas potentials to match TYNDP assumptions across all planning horizons, removed unsustainable biomass and biogas shares from potential, and added configuration options to force biomass and biogas potentials (https://github.com/open-energy-transition/open-tyndp/pull/236).
-
-* Adjust the benchmarking configurations to report an approximation of imports for fossil fuels (https://github.com/open-energy-transition/open-tyndp/pull/237) and ensure that the final energy demand for biofuels is reflected correctly (https://github.com/open-energy-transition/open-tyndp/pull/239).
-
-* Add an intermediate scaling factor for hydro plants to match PEMMDB capacities (https://github.com/open-energy-transition/open-tyndp/pull/238, https://github.com/open-energy-transition/open-tyndp/pull/240).
-
-* Adjust the oil land transport demand in order to adjust the liquids demand (https://github.com/open-energy-transition/open-tyndp/pull/250).
-
-* Add the TYNDP CCS assumptions as sequestration potentials (https://github.com/open-energy-transition/open-tyndp/pull/244).
-
-**Bugfixes and Compatibility**
-
-* Fix benchmarking workflow to account for not spatially resolved methane demand and more missing data (https://github.com/open-energy-transition/open-tyndp/pull/205).
-
-* Fix `make tyndp` with the introduction of collect rules for `rulegraph` and `filegraph` (https://github.com/open-energy-transition/open-tyndp/pull/214).
-
-* Correctly attach planning year dependent renewable profiles from PECD to solar and onwind generators (https://github.com/open-energy-transition/open-tyndp/pull/265).
-
-* Correctly attach solar-pv-rooftop generators to low-voltage buses when modelling an electricity distribution grid representation (https://github.com/open-energy-transition/open-tyndp/pull/273).
-
-* Address infeasibilities for DE and GA by adjusting the trajectory of DE00 for the larger existing capacity and by fixing a broadcasting bug in the offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/283).
-
-* Make sector and TYNDP dependent inputs optional in `prepare_sector_network` to avoid triggering unnecessary prerequisite rules and disable `solar_thermal` (https://github.com/open-energy-transition/open-tyndp/pull/293).
-
-* Remove `wget` commands from `retrieve` rules to improve Windows compatibility (https://github.com/open-energy-transition/open-tyndp/pull/304).
-
-* Change the projection for maps to LambertAzimuthalEqualArea and PlateCaree to align with TYNDP 2024 reports (https://github.com/open-energy-transition/open-tyndp/pull/282).
-
-**Documentation**
-
-* Add a FAQ to the documentation (https://github.com/open-energy-transition/open-tyndp/pull/276).
-
-* Add more FAQ questions, set the default solver to HiGHS and fix the default temporal resolution to 52SEG (https://github.com/open-energy-transition/open-tyndp/pull/303).
-
-**Developers Note**
-
-* Ensure compatibility with PyPSA v1 (https://github.com/open-energy-transition/open-tyndp/pull/219).
-
-
-## Open-TYNDP v0.3 (24th October 2025)
-**Features**
-
-* Introduce a benchmarking framework that assesses Open-TYNDP model quality against published TYNDP 2024 data and Visualisation Platform data (https://github.com/open-energy-transition/open-tyndp/pull/73, https://github.com/open-energy-transition/open-tyndp/pull/117). This framework is fully integrated into the Open-TYNDP workflow, with benchmarking results included in the outputs. The methodology leverages a multi-criteria approach proposed by [Wen et al. (2022)](https://www.sciencedirect.com/science/article/pii/S0306261922011667). The rules cover processing raw data from TYNDP 2024 Scenarios packages, extracting Open-TYNDP statistics, computing accuracy metrics, and creating comparison figures. The data are benchmarked against the published TYNDP 2024 data, with figures presenting both sources for comparison.
-
-* Add complete processing and preparation of PECD v3.1 renewable profiles for all renewable technologies: Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind, and Solar CSP (https://github.com/open-energy-transition/open-tyndp/pull/71). These profiles are used in TYNDP 2024 and replace the default ERA5- and SARAH3-based profiles processed with Atlite. The data processing infrastructure for renewable profile creation is complete, but full integration into the model workflow will follow in a subsequent PRs (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139).
-
-* Introduce processing of PEMMDB v2.5 hydro inflows data for different hydro technologies: Run of River, Pondage, Reservoir, Pumped Storage Open Loop, and Pumped Storage Closed Loop (https://github.com/open-energy-transition/open-tyndp/pull/77). The data processing infrastructure for hydro inflow profiles is complete, but full integration into the model workflow will follow in a subsequent release.
-
-* Introduce processing and preparation of PEMMDB v2.5 capacity data, including must-run and availability constraints, and expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and Demand Side Response (DSR) (https://github.com/open-energy-transition/open-tyndp/pull/97). The data processing infrastructure for PEMMDB v2.5 is complete, but full integration into the model workflow will follow in a subsequent release.
-
-* Integrate solar PV and onshore wind technologies using PEMMDB v2.5 capacity data and PECD v3.1 renewable profiles in the model (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139). Offshore wind statistics are also improved to include hydrogen generator capacities (in `MW_e`).
-
-**Changes**
-
-* Generalise the TYNDP data retrieval rule for improved flexibility (https://github.com/open-energy-transition/open-tyndp/pull/101). This rule is intended for removal once all required data has been integrated into the [Zenodo databundle](https://zenodo.org/records/14230568).
-
-* Allow retrieval of PyPSA-Eur cutouts for additional climate years that are not available on Zenodo via direct retrieval from Google Cloud Platform (GCP) (https://github.com/open-energy-transition/open-tyndp/pull/109). Currently, this feature is available for climate year 2009.
-
-* Introduce PECD pre-built dataset to significantly reduce data retrieval requirements (https://github.com/open-energy-transition/open-tyndp/pull/123). Users can either retrieve pre-processed PECD data for climate years 1995, 2008, and 2009 from GCP storage, or build from raw data for any year between 1982 and 2019.
-
-**Bugfixes and Compatibility**
-
-* Fix bugs in PyPSA-Eur's nuclear implementation related to inconsistent modelling as both generators and links, missing country-specific `p_max_pu` profiles, and missing uranium generators (https://github.com/open-energy-transition/open-tyndp/pull/105). Additionally, reintroduce default hydro `renewable_carrier` until TYNDP-specific hydro technologies are fully integrated.
-
-**Developers Note**
-
-* Scripts now use absolute imports. When using `mock_snakemake`, adding the working directory to the PYTHONPATH or in your IDE is required (https://github.com/open-energy-transition/open-tyndp/pull/138).
-
-
-
-## PyPSA-Eur v2026.02.0 (18th February 2026, merged 17th June 2026)
-
-**Features**
-
-* **Updated energy balances:**
-
-    - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
-      ([#1976](https://github.com/PyPSA/pypsa-eur/pull/1976)).
-
-    - Build energy balances from Eurostat API data with new rule [build_eurostat_balances][]
-      ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
-
-    - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
-      from SFOE website in `build_swiss_energy_balances` ([#2057](https://github.com/PyPSA/pypsa-eur/pull/2057)).
-
-* **Better electricity demand data:**
-
-    - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires `ENTSOE_API_KEY`)
-      and NESO data portal for Great Britain and Northern Ireland ([#1828](https://github.com/PyPSA/pypsa-eur/pull/1828)).
-
-    - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
-      (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
-      ([#1829](https://github.com/PyPSA/pypsa-eur/pull/1829)).
-
-* **Updated electricity network data:**
-
-    - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
-      (start_date, construction tags), and pure DC buses (switching stations).
-      Rebuilt interactive network map using PyDeck/deck.gl ([#2052](https://github.com/PyPSA/pypsa-eur/pull/2052), [#2030](https://github.com/PyPSA/pypsa-eur/pull/2030)).
-
-    - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
-      ([#2064](https://github.com/PyPSA/pypsa-eur/pull/2064), [#2054](https://github.com/PyPSA/pypsa-eur/pull/2054)).
-
-    - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
-      ([#1646](https://github.com/PyPSA/pypsa-eur/pull/1646)).
-
-* **Improved power plants and industrial sites data:**
-
-    - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
-
-    - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
-      `from_gem` to `from_powerplantmatching`. New `from_irenastat` setting supplements capacity estimation
-      ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
-
-    - Waste-to-energy plants now included in electricity-only networks ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
-
-    - Updated GEM steel plant tracker and initial GEM cement plant tracker ([#1830](https://github.com/PyPSA/pypsa-eur/pull/1830)).
-
-* **Improved storage:**
-
-    - Added new storage technologies, including iron-air batteries. These can be configured as
-      either store-link combinations or standalone storage units. Implemented in both [add_electricity][] and
-      [prepare_sector_network][] ([#1961](https://github.com/PyPSA/pypsa-eur/pull/1961)).
-
-    - Existing battery storage capacities from Powerplantmatching can be added as `StorageUnit` components using
-      plant-level duration data ([#2071](https://github.com/PyPSA/pypsa-eur/pull/2071)).
-
-* **Updated technology parameters:**
+* Introduce calculation of B3 indicators in the Cost-Benefit Analysis (CBA) based on renewable energy integration (https://github.com/open-energy-transition/open-tyndp/pull/350).
 
-    - Added technology-data v0.13.4 to data versions ([#1985](https://github.com/PyPSA/pypsa-eur/pull/1985)).
+* Introduce calculation of B4 indicator in the Cost-Benefit Analysis (CBA) based on changes in non-CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/398).
 
-* **Better data, configuration and dependency management:**
+* Set short-term storage to cyclic in CBA dispatch (https://github.com/open-energy-transition/open-tyndp/pull/385).
 
-    - Data versions now version controlled in `data/versions.csv` with configurable per-scenario specifications
-      ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675), [#1963](https://github.com/PyPSA/pypsa-eur/pull/1963)).
+* Add availability profiles for nuclear power plants (https://github.com/open-energy-transition/open-tyndp/pull/447). The profiles are derived from the Market Outputs files for the NT scenario. Generation time series are normalized to per-unit values and resampled weekly, retaining the maximum availability factor per week to account for maintenance schedules and forced outages.
 
-    - Use validation schema for configuration files. Schema contains default values;
-      changes to `config/config.default.yaml` now require schema updates
-      ([#1912](https://github.com/PyPSA/pypsa-eur/pull/1912)).
+* Add PyPSA-Explorer to workflow (https://github.com/open-energy-transition/open-tyndp/pull/443). The explorer will launch automatically in a new browser tab.
 
-    - Move to Pixi for robust cross-platform dependency management ([#1886](https://github.com/PyPSA/pypsa-eur/pull/1886)).
+* Add automated plotting for CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/352).
 
-* Updated CO2 emission allowance prices to use Instrat API for real-time pricing data
-  ([#2035](https://github.com/PyPSA/pypsa-eur/pull/2035)).
+* Add benchmarking of CBA indicators against TYNDP 2024 reported values (https://github.com/open-energy-transition/open-tyndp/pull/405).
 
-* Added CO2 emission prices configurable per planning horizon as marginal cost on `co2 atmosphere` Store
-  ([#1897](https://github.com/PyPSA/pypsa-eur/pull/1897)).
+* Add Market Model outputs to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/458). Additional minor fixes: SMR and SMR with CCS are now reported as a single group, and e-fuels are excluded from hydrogen demand since they are already accounted for in the exogenous demand.
 
-* Nuclear energy availability factors now stored with annual data per country in `data/nuclear_p_max_pu.csv`;
-  model automatically selects year nearest to weather year ([#2072](https://github.com/PyPSA/pypsa-eur/pull/2072)).
+**Changes**
 
-* Added interactive HTML balance maps in `results/maps/interactive/` with configurable settings
-  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+* Improve general assumptions for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/430). This includes refining assumptions relating to efficiencies, fuel costs and extendable technologies.
 
-* Added `solving.options.store_model` config option to store the linopy model as NetCDF after solving
-  (not supported with rolling horizon) ([#2001](https://github.com/PyPSA/pypsa-eur/pull/2001)).
+* Extend PyPSA-Eur validation schema for configuration files to Open-TYNDP specific configurations (see https://github.com/PyPSA/pypsa-eur/pull/1912) (https://github.com/open-energy-transition/open-tyndp/pull/419). Find a detailed explanation in the contributors documentation.
 
-* Added residential heat demand-side management (DSM) based on SmartEN study methodology
-  ([#1857](https://github.com/PyPSA/pypsa-eur/pull/1857)).
+* Assign CBA method assignment of projects before creation of project network, using data from CBA Implementation Guide (https://github.com/open-energy-transition/open-tyndp/pull/426).
 
-* Xpress solver configuration options (`xpress-default` and `xpress-gpu`) with barrier method settings for
-  large-scale problems ([#2006](https://github.com/PyPSA/pypsa-eur/pull/2006)).
+* Fix project capacities in CBA reference network (https://github.com/open-energy-transition/open-tyndp/pull/450).
 
-* `clustering: consider_efficiency_classes` now accepts list of quantile boundaries (e.g. `[0.1, 0.5, 0.9]`)
-  in addition to boolean; default unchanged ([#2075](https://github.com/PyPSA/pypsa-eur/pull/2075)).
+* Add preprocessing of Market Model benchmark data (https://github.com/open-energy-transition/open-tyndp/pull/372). All relevant Market Model output data is mapped to the naming convention used in the benchmarking plots.
 
-* Added existing biomass decentral/rural residential and services heating capacity
-  ([#1872](https://github.com/PyPSA/pypsa-eur/pull/1872)).
+* Enable `io_api` direct mode for CBA rolling horizon to improve performance (https://github.com/open-energy-transition/open-tyndp/pull/402).
 
-* Introduced method to overwrite costs via `costs:custom_cost_fn` for techno-economic assumptions
-  ([#1752](https://github.com/PyPSA/pypsa-eur/pull/1752), [#1879](https://github.com/PyPSA/pypsa-eur/pull/1879)).
+**Bugfixes and Compatibility**
 
-* Added minimum unit dispatch setting option for electrolysis ([#1859](https://github.com/PyPSA/pypsa-eur/pull/1859)).
+* Add virtual TYNDP nodes for IT and LU to `clusted_pop_layout` to enable consistent use of its index when selecting modelled electricity nodes (https://github.com/open-energy-transition/open-tyndp/pull/360).
 
-* Added integration with OETC platform ([#1831](https://github.com/PyPSA/pypsa-eur/pull/1831)).
+* Enable unlimited capacity for primary fuel generators in CBA rolling horizon (https://github.com/open-energy-transition/open-tyndp/pull/408).
 
-**Changes**
+* Fix processing of H2 demand profiles and PEMMDB profiles for compatibility with the climate year being a leap year like 2008 (https://github.com/open-energy-transition/open-tyndp/pull/414).
 
-* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec`
-  in favour of technology-data repository values ([#2043](https://github.com/PyPSA/pypsa-eur/pull/2043)).
+* Fix to allow for bidirectional electricity and hydrogen interconnections between offshore hubs (https://github.com/open-energy-transition/open-tyndp/pull/445). To shore connections remain unidirectional as defined in the inputs.
 
-* Rewritten power plant mapping to model regions/buses using spatial joins instead of nearest-bus approach.
-  Necessary due to administrative clustering conformance changes
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+* Improve power generation benchmarking for renewables (https://github.com/open-energy-transition/open-tyndp/pull/457). Reported values now include curtailment.
 
-* Setting `from_gem` renamed to `from_powerplantmatching`
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+**Documentation**
 
-* Function `rescale_idees_from_eurostat` removed ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
+* Add documentation describing the CBA workflow and CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/392).
 
-* Removed `shared_cutouts` configuration entry; cutouts always shared. Use differently named cutouts for
-  scenario-specific temporal/spatial resolution ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+* Explain the Open TYNDP implementation of the scenario approach (https://github.com/open-energy-transition/open-tyndp/pull/449).
 
-* Cutouts relocated to `data/cutouts/` directory; will trigger re-download/rebuild. Move existing cutouts
-  manually if needed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+* Add FAQ entry for PyPSA v1 compatibility issue (https://github.com/open-energy-transition/open-tyndp/pull/381).
 
-* Cutout bounds must now be explicitly defined in configuration; inference from `regions_onshore` and
-  `regions_offshore` removed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+**Developers Note**
 
-* Cutout preparation configuration moved to nested `prepare_kwargs` dictionary
-  ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+* Add scenario column to the `custom_costs.csv` file to allow for shared adjustments across scenarios (https://github.com/open-energy-transition/open-tyndp/pull/361).
 
-* Configuration options `enable: retrieve`, `enable: retrieve_databundle`, and `enable: retrieve_cost_data`
-  removed; rules always included ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+* Align the data structure of the TYNDP archives with that of upstream (https://github.com/open-energy-transition/open-tyndp/pull/451). These changes ensure that all the data is retrieved in an identical structure to the primary source, and as individual compressed archives.
 
-* Removed `secrets` configuration section and Gurobi license credentials from config files to prevent
-  accidental exposure of sensitive data ([#1989](https://github.com/PyPSA/pypsa-eur/pull/1989)).
+* Reformat CBA indicators output CSV to long format and to include units (https://github.com/open-energy-transition/open-tyndp/pull/401).
 
-* Configuration schema updater allowing soft-fork changes without modifying base PyPSA-Eur files
-  ([#2056](https://github.com/PyPSA/pypsa-eur/pull/2056)).
 
-* Removed outdated hotfixes in [build_powerplants][] ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+## Open-TYNDP v0.4.2 (23rd January 2026)
+**Features**
 
-* Updated `powerplants_filter` to include plants operational in 2025
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+* Add automated Windows installer for easy setup on Windows systems (https://github.com/open-energy-transition/open-tyndp/pull/333). The installer bundles pixi, the repository, and sets up the conda environment automatically. Installer executables are automatically built and attached to GitHub releases. See `utils/windows-installer/` for details.
 
-* Default year for renewable capacity estimation updated to 2024 ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
+* Integrate Open-TYNDP specific data into the data versioning system introduced upstream (see https://github.com/PyPSA/pypsa-eur/pull/1675) (https://github.com/open-energy-transition/open-tyndp/pull/363). Consequently, the rule `retrieve_additional_tyndp_data` is deprecated.
 
-* Added 2030 to power plant grouping years by default ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+**Bugfixes and Compatibility**
 
-* Disabled `powerplantmatching` phase-out heuristic in [build_powerplants][]
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+* Fix Windows compatibility issues and make other minor improvements (https://github.com/open-energy-transition/open-tyndp/pull/357).
 
-* Applied scaling of kW and GW to MW for custom costs ([#2023](https://github.com/PyPSA/pypsa-eur/pull/2023)).
+* Correct handling of electrolyzer capacities between optimization years (https://github.com/open-energy-transition/open-tyndp/pull/370).
 
-* Refactored [solve_network][] and [solve_operations_network][] separating optimization problem preparation
-  from solving ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+**Documentation**
 
-* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`
-  ([#1902](https://github.com/PyPSA/pypsa-eur/pull/1902)).
+* Add innovation roadmap comparison, mapping existing or new developments in PyPSA-Eur and Open TYNDP to desired features for TYNDP 2026 (https://github.com/open-energy-transition/open-tyndp/pull/341)
 
-* Static balance maps relocated to `results/maps/static/` ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
 
-* Bus carriers for balance maps with spaces must use underscores in configuration for SLURM compatibility
-  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+## Open-TYNDP v0.4.1 (23rd December 2025)
+**Bugfixes and Compatibility**
 
-* Overpass API configuration options added (URL, retries, timeout, user agent)
-  ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+* Retrieve countries_centroids.geojson using brotli encoding (https://github.com/open-energy-transition/open-tyndp/pull/334).
 
-* Added script path getter helper method for rule inheritance in nested snakefiles
-  ([#1997](https://github.com/PyPSA/pypsa-eur/pull/1997)).
+* Ensure backward compatibility for custom offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/339).
 
-* Updated standing losses for PTES, central TTES, and decentral TTES to latest DEA technology data (v0.13.3)
-  ([#1791](https://github.com/PyPSA/pypsa-eur/pull/1791)).
 
-* Disabled PTES dynamic capacity by default ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+## Open-TYNDP v0.4 (16th December 2025)
+**Features**
 
-* Distribution grid experimental feature: voltage levels from 63 kV to 750 kV with example configuration
-  ([#1740](https://github.com/PyPSA/pypsa-eur/pull/1740)).
+* Introduce a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (https://github.com/open-energy-transition/open-tyndp/pull/149). The workflow structure has rules for retrieving CBA project data, processing transmission and storage projects from Excel exports, creating reference networks, building individual project networks, solving network optimizations, and computing CBA indicators.
 
-* Allow expandable CCGTs by default ([#1796](https://github.com/PyPSA/pypsa-eur/pull/1796)).
+* Add the TOOT reference network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/199).
 
-* Reverted to PDF files for graphs generated with [plot_summary][] ([#2083](https://github.com/PyPSA/pypsa-eur/pull/2083)).
+* Add the TOOT project network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/211).
 
-* Add user-readable messages to each rule ([#1846](https://github.com/PyPSA/pypsa-eur/pull/1846)).
+* Add weekly rolling horizon optimization for CBA networks (https://github.com/open-energy-transition/open-tyndp/pull/217). Implements `solve_cba_network` rule for optimizing dispatch of TOOT and PINT reference and project networks.
 
-* Running perfect foresight marked as unstable ([#1853](https://github.com/PyPSA/pypsa-eur/pull/1853)).
+* Introduce calculation of B1 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system costs (https://github.com/open-energy-transition/open-tyndp/pull/186).
 
-* Empty auto-generated folders (`resources/`, `results/`) added to repository; `purge` rule preserves folders
-  ([#1764](https://github.com/PyPSA/pypsa-eur/pull/1764)).
+* Add TYNDP conventional thermal generation using PEMMDB capacities, must-runs and availabilities (https://github.com/open-energy-transition/open-tyndp/pull/195).
 
-* Improved handling of grouping years in [add_existing_baseyear][]
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+* Add TYNDP electrolyzer capacities for the National Trends scenario using PEMMDB data (https://github.com/open-energy-transition/open-tyndp/pull/248).
 
-* Automatically update DAGs in documentation ([#1880](https://github.com/PyPSA/pypsa-eur/pull/1880)).
+* Add the TYNDP hydrogen demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/169, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/230).
 
-**Bugfixes and Compatibility**
+* Add the TYNDP gas demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/208, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/220). Introduces `sector:gas_demand_exogenously` configuration to decide whether to attach this demand to the network. Introduces `benchmarking:remove_last_day` to optionally remove the last day of the year, ensuring the benchmarked values have exactly 52 weeks. Removes `sector:use_industry_load` configuration as industry is now integrated in the exogenous demand.
 
-* Fixed offshore wind potentials by disregarding CORINE land cover data for offshore technologies.
+* Add CO2 emission prices configurable per planning horizon for sector-coupled models (https://github.com/open-energy-transition/open-tyndp/pull/198). The CO2 price is added as a marginal cost on the `co2 atmosphere` Store.
 
-* Increased minimum required PyPSA version to 0.33.2 ([#1849](https://github.com/PyPSA/pypsa-eur/pull/1849)).
+* Improve the overall benchmarking framework by correcting bus mappings for methane supply, biomass supply, and BtL for FED; grouping H2 pipeline imports together (low carbon and renewables); using a new H2 demand figure (Fig. 10 instead of 54) with correct grouping of exogenous demands; reducing EU-wide statistics to EU27 where possible; and improving biomass supply benchmarking with a new figure (Fig. 22 instead of 59) (https://github.com/open-energy-transition/open-tyndp/pull/281).
 
-* Custom storage plugin for Zenodo retrievals to address recurring failures
-  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, [#1913](https://github.com/PyPSA/pypsa-eur/pull/1913)).
+**Breaking Changes**
 
-* Fixed unit commitment compatibility for PyPSA v1.0 component API
-  ([#2049](https://github.com/PyPSA/pypsa-eur/pull/2049)).
+* Move all SB scripts to `scripts/sb/` and rules to `rules/sb.smk`, and renamed CBA rules file from `rules/cba/main.smk` to `rules/cba.smk` for consistency (https://github.com/open-energy-transition/open-tyndp/pull/278).
 
-* Fixed rolling horizon optimisation to work in [solve_network][] in addition to [solve_operations_network][];
-  drop cyclicity constraints with `rolling_horizon: true`
-  ([#2070](https://github.com/PyPSA/pypsa-eur/pull/2070)).
+* Rename `clean_tyndp_demand` to `clean_tyndp_electricity_demand` for clarity (https://github.com/open-energy-transition/open-tyndp/pull/272).
 
-* Fixed unit commitment parameters scaling start-up costs with nominal power capacity
-  ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+**Changes**
 
-* Pinned `grpcio<1.78` to silence cluttering warnings ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+* Improve electricity demand processing and benchmarking to achieve an exact match between the benchmarked and reference values (https://github.com/open-energy-transition/open-tyndp/pull/192).
 
-* Fixed CO2Stop ID column handling across versions ([#2077](https://github.com/PyPSA/pypsa-eur/pull/2077)).
+* Adjust solid biomass and biogas potentials to match TYNDP assumptions across all planning horizons, removed unsustainable biomass and biogas shares from potential, and added configuration options to force biomass and biogas potentials (https://github.com/open-energy-transition/open-tyndp/pull/236).
 
-* Ensured renewable carriers not added as conventional power plants if in `powerplants.csv`
-  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+* Adjust the benchmarking configurations to report an approximation of imports for fossil fuels (https://github.com/open-energy-transition/open-tyndp/pull/237) and ensure that the final energy demand for biofuels is reflected correctly (https://github.com/open-energy-transition/open-tyndp/pull/239).
 
-* Fixed wildcards error in [clean_osm_data][] rule message ([#2022](https://github.com/PyPSA/pypsa-eur/pull/2022)).
+* Add an intermediate scaling factor for hydro plants to match PEMMDB capacities (https://github.com/open-energy-transition/open-tyndp/pull/238, https://github.com/open-energy-transition/open-tyndp/pull/240).
 
-* Fixed `None` default config parameter creating zero offshore wind availability
-  ([#2019](https://github.com/PyPSA/pypsa-eur/pull/2019)).
+* Adjust the oil land transport demand in order to adjust the liquids demand (https://github.com/open-energy-transition/open-tyndp/pull/250).
 
-* Fixed virtual bus naming in raw OSM transmission network to use persistent names
-  ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+* Add the TYNDP CCS assumptions as sequestration potentials (https://github.com/open-energy-transition/open-tyndp/pull/244).
 
-* Fixed column selection when preparing OSM pre-built releases ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+**Bugfixes and Compatibility**
 
-* Fixed capital cost of `solar-hsat` not adjusted to current planning horizon in myopic optimization
-  ([#1965](https://github.com/PyPSA/pypsa-eur/pull/1965)).
+* Fix benchmarking workflow to account for not spatially resolved methane demand and more missing data (https://github.com/open-energy-transition/open-tyndp/pull/205).
 
-* Fixed `ConsistencyError` for Links without buses when `gas_network: true` but no `conventional_generation`
-  ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+* Fix `make tyndp` with the introduction of collect rules for `rulegraph` and `filegraph` (https://github.com/open-energy-transition/open-tyndp/pull/214).
 
-* Fixed `ConsistencyError` for Links without buses when `industry: true` but no `conventional_generation` or
-  `biomass` ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+* Correctly attach planning year dependent renewable profiles from PECD to solar and onwind generators (https://github.com/open-energy-transition/open-tyndp/pull/265).
 
-* Fixed `mock_snakemake` due to upstream Snakemake API changes requiring `LoggerManager` instance
-  ([#1984](https://github.com/PyPSA/pypsa-eur/pull/1984)).
+* Correctly attach solar-pv-rooftop generators to low-voltage buses when modelling an electricity distribution grid representation (https://github.com/open-energy-transition/open-tyndp/pull/273).
 
-* Fixed compatibility with `pyogrio>=0.12.0` in [build_gas_input_locations][] and [build_gas_network][]
-  ([#1955](https://github.com/PyPSA/pypsa-eur/pull/1955)).
+* Address infeasibilities for DE and GA by adjusting the trajectory of DE00 for the larger existing capacity and by fixing a broadcasting bug in the offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/283).
 
-* Fixed PyPSA-Eur use as Snakemake module by ensuring all file paths relative to rule inputs/outputs
-  ([#1967](https://github.com/PyPSA/pypsa-eur/pull/1967)).
+* Make sector and TYNDP dependent inputs optional in `prepare_sector_network` to avoid triggering unnecessary prerequisite rules and disable `solar_thermal` (https://github.com/open-energy-transition/open-tyndp/pull/293).
 
-* Fixed OSM network building via Overpass API ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+* Remove `wget` commands from `retrieve` rules to improve Windows compatibility (https://github.com/open-energy-transition/open-tyndp/pull/304).
 
-* Fixed parsing of Swiss passenger cars data ([#1934](https://github.com/PyPSA/pypsa-eur/pull/1934), [#1936](https://github.com/PyPSA/pypsa-eur/pull/1936)).
+* Change the projection for maps to LambertAzimuthalEqualArea and PlateCaree to align with TYNDP 2024 reports (https://github.com/open-energy-transition/open-tyndp/pull/282).
 
-* Fixed `ValueError` with `cop_heat_pump` in [prepare_sector_network][] when `tim_dep_hp_cop` is
-  `false` ([#1929](https://github.com/PyPSA/pypsa-eur/pull/1929)).
+**Documentation**
 
-* Fixed OSM raw data cleaning to include `section` line relation role ([#1927](https://github.com/PyPSA/pypsa-eur/pull/1927)).
+* Add a FAQ to the documentation (https://github.com/open-energy-transition/open-tyndp/pull/276).
 
-* Fixed missing raw OSM HVDC links defined using `power=circuit` tag ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+* Add more FAQ questions, set the default solver to HiGHS and fix the default temporal resolution to 52SEG (https://github.com/open-energy-transition/open-tyndp/pull/303).
 
-* Fixed load shedding bugs from incorrect `sign` argument in `n.add` and `np.isscalar`
-  ([#1908](https://github.com/PyPSA/pypsa-eur/pull/1908)).
+**Developers Note**
 
-* Fixed Eurostat data retrieval on Windows by avoiding double temporary file access
-  ([#1825](https://github.com/PyPSA/pypsa-eur/pull/1825)).
+* Ensure compatibility with PyPSA v1 (https://github.com/open-energy-transition/open-tyndp/pull/219).
 
-* Fixed `AttributeError` in [prepare_sector_network][] with single country and cluster
-  ([#1835](https://github.com/PyPSA/pypsa-eur/pull/1835)).
 
-* Fixed `ValueError` in [prepare_sector_network][] `add_storage_and_grids` with few nodes
-  ([#1780](https://github.com/PyPSA/pypsa-eur/pull/1780)).
+## Open-TYNDP v0.3 (24th October 2025)
+**Features**
 
-* Fixed `AttributeError` in [prepare_sector_network][] with single country
-  ([#1778](https://github.com/PyPSA/pypsa-eur/pull/1778)).
+* Introduce a benchmarking framework that assesses Open-TYNDP model quality against published TYNDP 2024 data and Visualisation Platform data (https://github.com/open-energy-transition/open-tyndp/pull/73, https://github.com/open-energy-transition/open-tyndp/pull/117). This framework is fully integrated into the Open-TYNDP workflow, with benchmarking results included in the outputs. The methodology leverages a multi-criteria approach proposed by [Wen et al. (2022)](https://www.sciencedirect.com/science/article/pii/S0306261922011667). The rules cover processing raw data from TYNDP 2024 Scenarios packages, extracting Open-TYNDP statistics, computing accuracy metrics, and creating comparison figures. The data are benchmarked against the published TYNDP 2024 data, with figures presenting both sources for comparison.
 
-* Fixed `FileNotFoundError` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
-  directory level in multiple `retrieve.smk` rules ([#1768](https://github.com/PyPSA/pypsa-eur/pull/1768)).
+* Add complete processing and preparation of PECD v3.1 renewable profiles for all renewable technologies: Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind, and Solar CSP (https://github.com/open-energy-transition/open-tyndp/pull/71). These profiles are used in TYNDP 2024 and replace the default ERA5- and SARAH3-based profiles processed with Atlite. The data processing infrastructure for renewable profile creation is complete, but full integration into the model workflow will follow in a subsequent PRs (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139).
 
-* Fixed heat pump CAPEX allocation to heat bus and removed nominal efficiency from CAPEX calculation
-  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+* Introduce processing of PEMMDB v2.5 hydro inflows data for different hydro technologies: Run of River, Pondage, Reservoir, Pumped Storage Open Loop, and Pumped Storage Closed Loop (https://github.com/open-energy-transition/open-tyndp/pull/77). The data processing infrastructure for hydro inflow profiles is complete, but full integration into the model workflow will follow in a subsequent release.
 
-* Fixed heat pump COP approximation configuration passing to `CentralHeatingCopApproximator`
-  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+* Introduce processing and preparation of PEMMDB v2.5 capacity data, including must-run and availability constraints, and expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and Demand Side Response (DSR) (https://github.com/open-energy-transition/open-tyndp/pull/97). The data processing infrastructure for PEMMDB v2.5 is complete, but full integration into the model workflow will follow in a subsequent release.
 
-* Fixed `pandas>=2.3.0` deprecation warnings ([#1898](https://github.com/PyPSA/pypsa-eur/pull/1898)).
+* Integrate solar PV and onshore wind technologies using PEMMDB v2.5 capacity data and PECD v3.1 renewable profiles in the model (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139). Offshore wind statistics are also improved to include hydrogen generator capacities (in `MW_e`).
 
-* Fixed WDPA links on Windows ([#2008](https://github.com/PyPSA/pypsa-eur/pull/2008)).
+**Changes**
 
-* Fixed WDPA and WDPA Marine data download and extraction ([#2005](https://github.com/PyPSA/pypsa-eur/issues/2005)).
+* Generalise the TYNDP data retrieval rule for improved flexibility (https://github.com/open-energy-transition/open-tyndp/pull/101). This rule is intended for removal once all required data has been integrated into the [Zenodo databundle](https://zenodo.org/records/14230568).
 
-* Added automatic retry for Zenodo HTTP requests to handle transient errors
-  ([#1861](https://github.com/PyPSA/pypsa-eur/pull/1861)).
+* Allow retrieval of PyPSA-Eur cutouts for additional climate years that are not available on Zenodo via direct retrieval from Google Cloud Platform (GCP) (https://github.com/open-energy-transition/open-tyndp/pull/109). Currently, this feature is available for climate year 2009.
 
-* Fixed missing cost name for geothermal-sourced heat pump and allowed in test configs
-  ([#1766](https://github.com/PyPSA/pypsa-eur/pull/1766)).
+* Introduce PECD pre-built dataset to significantly reduce data retrieval requirements (https://github.com/open-energy-transition/open-tyndp/pull/123). Users can either retrieve pre-processed PECD data for climate years 1995, 2008, and 2009 from GCP storage, or build from raw data for any year between 1982 and 2019.
 
-* Changed error handling for non-extendable heat storage energy-to-power ratio constraints to warning
-  ([#1769](https://github.com/PyPSA/pypsa-eur/pull/1769)).
+**Bugfixes and Compatibility**
 
-* Removed snakemake SLURM plugin from Windows installations ([#2009](https://github.com/PyPSA/pypsa-eur/pull/2009)).
+* Fix bugs in PyPSA-Eur's nuclear implementation related to inconsistent modelling as both generators and links, missing country-specific `p_max_pu` profiles, and missing uranium generators (https://github.com/open-energy-transition/open-tyndp/pull/105). Additionally, reintroduce default hydro `renewable_carrier` until TYNDP-specific hydro technologies are fully integrated.
 
-* Added missing bidding zone data sources to data layer ([#1991](https://github.com/PyPSA/pypsa-eur/pull/1991)).
+**Developers Note**
 
-* Removed pinned environment files mention from pre-commit-config-yaml ([#1837](https://github.com/PyPSA/pypsa-eur/pull/1837)).
+* Scripts now use absolute imports. When using `mock_snakemake`, adding the working directory to the PYTHONPATH or in your IDE is required (https://github.com/open-energy-transition/open-tyndp/pull/138).
 
 
 ## Open-TYNDP v0.2 (23rd July 2025)
@@ -847,7 +848,6 @@
 * Refactor: consolidate `tyndp_scenario` configurations into a single configuration entry (https://github.com/open-energy-transition/open-tyndp/pull/51)
 
 
-
 ## PyPSA-Eur v2025.07.0 (11th July 2025, merged 24th July 2025)
 
 
@@ -1296,7 +1296,6 @@
   for easier readability and adjustability (https://github.com/open-energy-transition/open-tyndp/pull/20/).
 
 
-
 ## PyPSA-Eur v2025.01.0 (24th January 2025)
 
 !!! note
@@ -1549,6 +1548,7 @@
 
 * Updating all base shapes (country_shapes, europe_shape, nuts3_shapes, ...). The workflow has been modified to use higher resolution and more harmonised shapes (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries, such as BA, MD, UA, and XK). Data sources for population and GDP p.c. have been updated to JRC ARDECO https://urban.jrc.ec.europa.eu/ardeco/ -- 2019 values are used. `build_gdp_pop_non_nuts3` (originally created to build regional GDP p.c. and population data for MD and UA) is now integrated into `build_shapes` and extended to build regional values for all non-NUTS3 countries using cutouts of the updated datasets `GDP_per_capita_PPP_1990_2015_v2.nc` and `ppp_2019_1km_Aggregated.tif`,
 
+
 ## PyPSA-Eur 0.13.0 (13th September 2024)
 
 **Features**
@@ -1650,6 +1650,7 @@
 * The sources of nearly all data files are now listed in the documentation.
   ([#1284](https://github.com/PyPSA/pypsa-eur/pull/1284))
 
+
 ## PyPSA-Eur 0.12.0 (30th August 2024)
 
 **Data Updates and Extensions**
@@ -2267,6 +2268,7 @@
 * Bugfix: Only sanitize locations when there are buses with a location.
   ([#971](https://github.com/PyPSA/pypsa-eur/pull/971))
 
+
 ## PyPSA-Eur 0.10.0 (19th February 2024)
 
 **New Features**
@@ -2875,6 +2877,7 @@ care of deprecations.
 
 * Addressed deprecation warnings for `pandas=2.0`. `pandas=2.0` is now minimum requirement.
 
+
 ## PyPSA-Eur 0.8.0 (18th March 2023)
 
 !!! note
@@ -2961,6 +2964,7 @@ care of deprecations.
 * The plotting scripts from PyPSA-Eur (electricity-only) have been removed and
   are superseded by those from PyPSA-Eur-Sec (sector-coupled).
 
+
 ## PyPSA-Eur Releases (pre-merge)
 
 ### PyPSA-Eur 0.7.0 (16th February 2023)
diff --git a/doc/sb.rst b/doc/sb.rst
deleted file mode 100644
index 5760d952ae..0000000000
--- a/doc/sb.rst
+++ /dev/null
@@ -1,269 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-######################
-Scenario Building (SB)
-######################
-
-Scenario Building (SB) is the first phase of the Open-TYNDP workflow. Starting from raw
-ENTSO-E input datasets, it constructs a sector-coupled European energy system model
-and solves a least-cost capacity expansion (DE and GA scenarios only, see `Open-TYNDP scenarios <scenarios.html>`_) and dispatch optimisation. The solved network
-produced by SB serves as the direct input to the `Cost-Benefit Analysis (CBA) <cba.html>`_.
-
-Open-TYNDP implements the `TYNDP 2024 Scenario Building methodology
-<https://www.entsoe.eu/outlooks/tyndp/2024/>`_ as a soft-fork of
-`PyPSA-Eur <https://pypsa-eur.readthedocs.io/en/latest/>`_, inheriting its modelling
-framework (optimisation structure, network representation, and sector-coupling capabilities)
-while replacing specific inputs and assumptions to match TYNDP 2024 reference data.
-
-
-Input Data
-==========
-
-All used input datasets are publicly available from the `TYNDP 2024 scenarios download page
-<https://2024.entsos-tyndp-scenarios.eu/download/>`_. The diagram below shows how they
-flow into Open-TYNDP and into the benchmarking process.
-
-.. image:: img/tyndp/data_overview.png
-    :align: center
-    :alt: TYNDP 2024 Scenario Building data overview diagram
-
-Public input data from ENTSO-E is used wherever available. Where publicly available data does
-not match the fixed values observed in the Market Model output files, the output files are used
-as the reference for fixed input assumptions. This applies strictly to exogenous variables that
-are not part of the optimisation (H₂ demand profiles, reference grid topologies,
-and generator maintenance profiles).
-
-The following datasets are ingested and processed by dedicated ``build_tyndp_*`` Snakemake
-rules:
-
-`PEMMDB 2.5 <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip>`_
-    Installed generation and storage capacities, must-run constraints, and per-unit cost
-    assumptions by country and technology. Also provides efficiency and variable O&M parameters
-    for conventional thermal generation sourced from ERAA 2025.
-
-`PECD 3.1 <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PECD.zip>`_
-    Hourly capacity factor time series for wind (onshore and offshore) and solar PV, derived
-    from ERA5 reanalysis data. Profiles are provided per climate year and TYNDP bidding zone.
-
-`Hydro Inflows <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip>`_
-    Hourly inflow profiles for reservoir and run-of-river hydro plants, used to constrain
-    hydro dispatch across planning horizons. Profiles are provided per climate year and TYNDP bidding zone.
-
-`Demand Profiles <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip>`_
-    Hourly electricity and hydrogen demand profiles by country, interpolated to the target
-    planning horizon. Where public profiles do not match fixed values in the Market Model output
-    files, the output files are used as the reference.
-
-`Line Data <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip>`_
-    Electricity and hydrogen transmission network topology for both the reference grid and
-    candidate lines. Electricity and H₂ line data are used from 2030 onward.
-
-`Investment Candidates <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip>`_
-    Optional extendable transmission and storage assets for the 2035 and 2040 planning horizons.
-
-`Hydrogen <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip>`_
-    Hydrogen storage parameters, steam methane reforming (SMR and SMR+CCS) capacities, and
-    import pipeline assumptions.
-
-`Supply Tool <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip>`_
-    Methane demand and biomass potentials for energy carriers modelled in Open-TYNDP. This is
-    a scenario output file from the TYNDP 2024 process used as a fixed input.
-
-.. note::
-    In the underlying PyPSA-Eur framework, RES profiles, hydro inflows, and demand time series
-    can be derived directly from raw weather data without any additional model. The same applies
-    to biomass potentials. Open-TYNDP currently uses the provided TYNDP input files for
-    comparability with the established TYNDP 2024 methodology.
-
-SB Workflow
-===========
-
-The SB workflow transforms raw ENTSO-E input datasets into a solved, sector-coupled PyPSA
-network. The key stages are: integrating public input data, constructing the sector-coupled
-network, applying TYNDP-specific constraints, solving the capacity expansion optimisation, visualising results, and running the Open-TYNDP `benchmarking framework <benchmarking.html>`_.
-
-
-Network Construction
---------------------
-
-The PyPSA network is built at **bidding zone / country-level resolution** for the electricity and hydrogen
-sectors respectively. Buses represent national-level aggregations; AC lines and DC links represent
-cross-border interconnectors with capacities and impedances taken from the TYNDP Line Data.
-
-Generator and storage components are attached to country buses using PEMMDB 2.5 capacity data.
-Which carriers are **extendable** varies by scenario and planning horizon.
-
-Sector Coupling
----------------
-
-Open-TYNDP models the electricity and hydrogen sectors as fully coupled. For the Distributed
-Energy (DE) and Global Ambition (GA) scenarios, heating sector links are included in addition (see `Open-TYNDP scenarios <scenarios.html>`_). Cross-sector components
-include:
-
-* **Electrolysers:** Convert electricity to hydrogen; capacity is either fixed per PEMMDB 2.5
-  or left extendable depending on the scenario.
-* **Fuel cells and back-pressure plants:** Reconvert hydrogen or gas to electricity.
-* **Hydrogen network:** Dedicated H₂ pipelines between country buses are included for planning
-  horizons from 2030 onward, using TYNDP Line Data. Zones with split H₂ grids (e.g. the
-  Iberian Peninsula) are represented with separate H₂ buses.
-* **SMR and SMR+CCS:** Grey and blue hydrogen production capacities from PEMMDB and TYNDP
-  hydrogen datasets.
-* **Demand-side electrification:** Where the scenario specifies it, electricity demand
-  incorporates direct electrification of heat and transport end-uses.
-
-Capacity and Dispatch Optimisation
----------------------
-
-The SB optimisation minimises **total annualised system cost** (variable operating cost, plus investment cost where capacity expansion is enabled) subject to:
-
-* Hourly supply-demand balance for each carrier at every bus.
-* Transmission capacity constraints, with optional extendability for candidate lines.
-* CO₂ emission budgets derived from the TYNDP 2024 scenario pathway.
-* Minimum and maximum generation constraints from PEMMDB, including must-run levels and
-  scheduled maintenance outages.
-* Country-level annual hydrogen supply and demand balances.
-* Capacity expansion constraints reflecting given trajectories in the case of the DE and GA scenario
-
-The problem is formulated as a **linear programme (LP)** and solved with the configured
-solver (HiGHS as default as an open-source alternative for lower
-temporal resolution runs; other solvers like Gurobi/Mosek are also supported and recommended for high-resolution runs).
-
-Each planning horizon is solved independently using the capacity assumptions fixed for that
-horizon. The solved ``network.nc`` file is retrieved by the CBA workflow as
-its starting point. See the `CBA documentation <cba.html>`_ for details.
-
-Configuration
-=============
-
-SB settings are split across ``config/config.tyndp.yaml`` (run-level settings) and
-``config/scenarios.tyndp.yaml`` (scenario-specific overrides). You can refer to
-the `configuration <configuration.html>`_ page for a more comprehensive list of available PyPSA-Eur
-and Open-TYNDP configuration options.
-
-Scenarios and Planning Horizons
---------------------------------
-
-* ``scenario``: Selects the TYNDP 2024 scenario. Supported values are ``NT``
-  (National Trends),  ``GA`` (Global Ambition) and ``DE`` (Distributed Energy).
-* ``planning_horizons``: List of target years to solve (e.g. ``[2030, 2035, 2040, 2050]``). Each
-  horizon is solved as an independent optimisation.
-* ``run.name``: Identifies the run and determines the output directory; typically set to
-  the scenario/climate-year identifier (e.g. ``NT-cy2009``).
-  * ``launch_explorer``: Whether to launch the `PyPSA Explorer <https://github.com/open-energy-transition/pypsa-explorer>`_ after the model solve within the workflow. Default is ``True``.
-
-Climate Years
--------------
-
-Each scenario run is tied to a specific historical climate year, which determines the
-renewable generation and hydro inflow profiles used from PECD 3.1 and Hydro Inflows:
-
-* ``snapshots``: Defines the modelling time window, e.g.:
-
-  .. code-block:: yaml
-
-      snapshots:
-        start: "2009-01-01"
-        end:   "2009-12-31"
-        inclusive: "left"
-
-* ``atlite.default_cutout``: ERA5 reanalysis cutout used to compute PECD-compatible
-  capacity factor profiles (e.g. ``europe-2009-era5``).
-
-Solver Settings
----------------
-
-* ``solving.solver.name``: Solver to use (e.g. ``gurobi``, ``highs``, or ``mosek``).
-* ``solving.solver_options``: Solver-specific parameters such as optimality gap and
-  memory limits.
-
-.. _tyndp_archive:
-
-Data Sources
-------------
-
-By default, Open-TYNDP retrieves input datasets from ``data.pypsa.org`` (``archive`` source)
-or their original primary sources, meaning data is pulled from several different domains. As an alternative, most datasets are also mirrored to a
-dedicated Google Cloud Storage bucket (``open-tyndp-data-store``) under the ``tyndp-archive``
-source. This mirror consolidates downloads to a single URL, which can simplify IT or security approval processes. The Google Cloud Storage requires no account and all files are versioned for reproducibility.
-
-To activate ``tyndp-archive`` for all supported datasets, set ``data_config: tyndp`` in any
-of the following ways:
-
-- Pass it on the command line:
-
-  .. code-block:: console
-
-      $ pixi run tyndp-sb --config data_config=tyndp
-
-- Set it permanently in ``config/config.tyndp.yaml`` (applied to all TYNDP runs):
-
-  .. code-block:: yaml
-
-      data_config: tyndp
-
-- Set it in ``config/test/config.tyndp.yaml`` for test runs.
-
-This loads ``config/data.tyndp.yaml``, which switches all mirrored datasets to ``tyndp-archive``.
-A small number of datasets (``wdpa``, ``cutout``, ``open_tyndp_prelim``) are not yet available
-on the GCS bucket and will still be retrieved from their respective sources.
-
-To see which datasets support ``tyndp-archive``, check the ``source`` column in ``data/versions.csv``.
-See also :ref:`data_config_cf` and :ref:`data_cf` in the configuration reference.
-
-Running Scenario Building
-=========================
-
- 
-Before running, make sure you have completed the steps in the `installation guide
-<installation.html>`_.
- 
-Scenarios are defined and modified in ``config/scenarios.tyndp.yaml``. The full Scenario Building workflow from raw input data
-through to results and launching the
-`PyPSA Explorer <https://github.com/open-energy-transition/pypsa-explorer>`_ visualisation runs with a single command:
- 
-.. code-block:: console
-
-    $ pixi run tyndp-sb
-
-.. hint::
-
-   If too many parallel jobs cause out-of-memory issues, you can specify your machine's
-   physical RAM limit in ``profiles/default/config.yaml`` for Snakemake to use
-   when scheduling jobs:
-
-   .. code-block:: yaml
-
-       resources:
-         mem_mb: 16000
-
-You can also launch the ``PyPSA-Explorer`` on its own, without rerunning the full workflow.
-
-To browse pre-solved SB networks from the latest release, simply run:
-
-.. code-block:: console
-
-    $ pixi run launch-presolved-explorer
-
-Alternatively, if you have downloaded solved networks yourself, you can point ``PyPSA-Explorer`` at them directly from within the ``open-tyndp`` environment shell:
-
-.. code-block:: console
-
-    $ pixi shell -e open-tyndp
-    $ pypsa-explorer path/to/network_2030.nc path/to/network_2040.nc
-
-Any explorer instances you launch will close automatically on reboot. To close all running instances yourself at any time, run:
-
-.. code-block:: console
-
-    $ pixi run close-explorers
-
-.. tip::
-
-   The workflow's dependency graphs can be built by a dedicated rule and saved to ``resources/``.
-   Since this can grow very large for the full list of scenarios, you can restrict it to a single scenario:
-
-   .. code-block:: console
-
-       $ pixi run create-tyndp-graphs --config 'run={"name":"NT"}'
diff --git a/doc/scenarios.rst b/doc/scenarios.rst
deleted file mode 100644
index 1af17787ba..0000000000
--- a/doc/scenarios.rst
+++ /dev/null
@@ -1,142 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _scenarios:
-
-####################
-Open TYNDP Scenarios
-####################
-
-The modelling for the reference, National Trends+ (NT+), 
-and the deviation, Distributed Energy (DE) and Global Ambition (GA), scenarios
-differ in terms of assumptions, storyline and method (capacity expansion vs dispatch modelling).
-
-Here we explain these modelling differences and how these differences have been implemented into open-tyndp.
-We discuss the relevant configuration settings and the implications of these implementation decisions.
-
-Background information can be found in the report from ENTSO-E and ENTSO-G 
-`TYNDP 2024 Scenarios Methdoology Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__.
-
-A description of the storylines underlying the NT+, DE and GA scenarios can be found in the
-`TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-National Trends+
-~~~~~~~~~~~~~~~~
-
-The NT+ scenario was developed in alignment with the National Energy and Climate Plans that were available during the development
-of TYNDP 2024 (e.g. during 2023). 
-
-- Uses predefined final energy demands and generation capacity collected from transmission system operators
-- Modelled as a pure dispatch problem, with fixed generation capacities for 2030 and 2040
-- All energy carriers included in final energy demand, not just electricity and gas (as with TYNDP < 2024)
-
-Deviation Scenarios
-~~~~~~~~~~~~~~~~~~~
-
-- Begins with National Trends+ 2030 scenario results for grid topology, generation capacity and final energy demands
-- Uses predefined final energy demands for 2040 and 2050 collected from transmission system operators and public consultation
-- Capacity expansion model is used to identify where and when investment in renewable generation capacity and storage is required
-- Exogenous constraints on generation investment are imposed to force:
-    - no new nuclear power capacity
-    - all existing fossil gas plants are decommissioned
-- Upper and lower bounds are also imposed to force trajectories for
-    - the expansion of solar, wind, prosumer batteries and large scale batteries
-    - H2 import potentials
-
-Distributed Energy
-------------------
-
-.. epigraph::
-
-   *This scenario pictures a pathway achieving EU27 carbon neutrality target by 2050 with
-   higher European Economy. The scenario is driven by a willingness of the society to achieve
-   high levels of independence in terms of energy supply and goods of strategic importance
-   (e. g., industrial and agricultural produce). It translates into both a behavioural shift and
-   strong decentralised drive towards decarbonisation through local initiatives by citizens,
-   communities and businesses, supported by authorities*
-
-   -- `TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-Global Ambition
----------------
-
-.. epigraph::
-
-   *This scenario pictures a pathway to achieving carbon neutrality by 2050, driven by a fast
-   and global move towards the Paris Agreement targets. It translates into development of a
-   very wide range of technologies (many being centralised) and the use of global energy
-   trade as a tool to accelerate decarbonisation.*
-
-   -- `TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-Open TYNDP Implementation
-~~~~~~~~~~~~~~~~~~~~~~~~~
-
-The TYNDP scenarios are defined in ``config/config.tyndp.yaml`` and ``config/scenarios.tyndp.yaml``.
-
-The NT+ scenario is defined in full in ``config/config.tyndp.yaml`` and the modifications to NT+
-to form the two deviation scenarios are defined in ``config/scenarios.tyndp.yaml``.
-
-.. list-table::
-   :widths: 20 80
-   :header-rows: 1
-
-   * - Config Key
-     - Description
-   * - run
-     - Run naming/prefix and scenario file reference; scenarios enabled.
-   * - foresight
-     - Sets planning foresight to myopic.
-   * - tyndp_scenario
-     - Selects TYNDP scenario code (NT).
-   * - scenario
-     - Defines cluster set and planning horizons (2030, 2040).
-   * - countries
-     - Lists modeled countries/regions.
-   * - snapshots
-     - Time span for simulation (2009 calendar year).
-   * - co2_budget
-     - Placeholder (empty).
-   * - electricity
-     - Core electricity settings—network base, extendable/conventional/renewable carriers, TYNDP mappings, storage types, renewable capacity estimation toggle, PECD profiles (years/techs), PEMMDB hydro profiles and capacities (years/techs), transmission limit version.
-   * - atlite
-     - Cutout configuration for weather data (extent, resolution, time).
-   * - links
-     - Default link power limits (``p_max_pu``/``p_min_pu``).
-   * - transmission_projects
-     - Enables projects; all source sets disabled.
-   * - load
-     - Demand source and year availability; default gap fill and adjustments disabled.
-   * - pypsa_eur
-     - Carrier-to-component mappings for imported PyPSA-Eur data.
-   * - biomass
-     - Sustainable/unsustainable biomass shares over time.
-   * - sector
-     - Toggles for sector coupling and detailed demand shares; transport/shipping/aviation settings; CO2 sequestration options; fuels and networks; biomass and e-fuels options; imports; offshore hubs limits.
-   * - costs
-     - Overwrites for lifetimes/efficiencies and CO2 price trajectory.
-   * - clustering
-     - Spatial/temporal clustering and network simplification settings.
-   * - adjustments
-     - Optional scaling factors for sector components; currently off.
-   * - solving
-     - Solver selection and option set (uses HiGHS by default).
-   * - plotting
-     - Thresholds, map projection, balance map settings and factors.
-   * - benchmarking
-     - Enables benchmarking.
-   * - cba
-     - Cost-benefit analysis settings (hurdle costs, horizons, methods, projects, solver options).
-
-The base config is ``config.tyndp.yaml``. The scenario file ``scenarios.tyndp.yaml`` defines per-scenario override blocks (e.g., NT, DE, GA). 
-When a scenario is selected, its keys are merged onto the base config: matching keys override the base values, 
-and nested keys override only their sub-keys.
-
-Examples:
-
-- ``tyndp_scenario`` is overwritten by the scenario's value.
-- In DE/GA, ``electricity.extendable_carriers.Generator`` replaces the base list for that path.
-- In DE/GA, ``sector.land_transport_ice_share``, ``sector.h2_zones_tyndp``, ``sector.force_biomass_potential``, ``sector.force_biogas_potential``, 
-  and ``sector.co2_sequestration_potential`` override the corresponding base entries.
-- If a key is not present in the scenario block, the base config value remains unchanged
diff --git a/doc/tyndp_2024.rst b/doc/tyndp_2024.rst
deleted file mode 100644
index 0ad3900213..0000000000
--- a/doc/tyndp_2024.rst
+++ /dev/null
@@ -1,130 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-###############
-TYNDP 2024 data
-###############
-
-The TYNDP 2024 data is downloaded and extracted using the ``retrieve_tyndp``, ``retrieve_tyndp_pecd``, ``retrieve_tyndp_vp_data`` and ``retrieve_tyndp_cba_projects`` rules. Originally published by ENTSO-E and ENTSOG under
-Creative Commons Attribution 4.0 International License (CC-BY 4.0).
-The original data files can be found under https://2024.entsos-tyndp-scenarios.eu/download/.
-
-``CBA Projects``
-
-- **Source:** TYNDP 2024 Project Sheets, https://tyndp2024.entsoe.eu/projects-map
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/CBA_projects.zip
-- **Description:** Contains 177 transmission and 33 storage projects, which have been assessed by TYNDP 2024 in its Cost-Benefit Analysis.
-
-``Demand Profiles``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip
-- **Description:** Contains hourly demand profiles for CH4, electricity (market and prosumer),
-  H2 (heat, zone 1 and zone 2), synthetic fuels (e-diesel, e-kerosene, SNG).
-
-``EV Modelling Inputs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/EV-Modelling-Inputs.zip
-- **Description:** Contains hourly availability, min SOC and driving profiles, EV charging stations,
-  and EV technology assumptions.
-
-``Hybrid Heat Pump Modelling Inputs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hybrid-Heat-Pump-Modelling-Inputs.zip
-- **Description:** Contains hourly COP profiles, HP capacity and heat rate for H2 and CH4 hybrid HP.
-
-``Hydrogen``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip
-- **Description:** Contains H2 import generator properties, synthetic fuel generator properties, CO2 synthetic fuel ratios, synthetic fuel lines, H2 storage data, and SMR figures.
-
-``Hydro Inflows``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip
-- **Description:** Contains hourly hydro inflows for climate years from 1982 to 2017, for all modelled hydro technologies, per node and planning horizon.
-
-``Investment Datasets``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip
-- **Description:** Contains expansion constraints (capacities, capex, opex, trajectories)
-  for grids' and generators' investment candidates.
-
-``Line data``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip
-- **Description:** Contains electricity and hydrogen reference grids and e-market prosumer wheeling charge.
-
-``Market Model Outputs for NT``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/MMStandardOutputFile_NT{planning_horizons}_Plexos_CY2009_2.5_v40.xlsx.zip
-- **Description:** Contains market model standard output files for the National Trends (NT) scenario and climate year 2009 (available for both 2030 and 2040 planning horizons).
-
-``Nodes``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Nodes.zip
-- **Description:** Contains a list of electricity and hydrogen nodes.
-
-``Offshore hubs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Offshore-hubs.zip
-- **Description:** Contains generators, electrolysers, nodes and grid information used in the
-  modelling of offshore hubs.
-
-``PECD/PECD_{pecd_version}``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_version}.zip
-- **Description:** Contains hourly PECD v3.1 capacity factor time series for Solar PV rooftop,
-  Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
-
-``PECD/PECD_{pecd_prebuilt_version}``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_prebuilt_version}.zip
-- **Description:** Contains pre-built hourly PECD v3.1 capacity factor time series for climate years 1995, 2008, and 2009, covering Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
-
-``PEMMDB2``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip
-- **Description:** Contains PEMMDB v2.5 capacities, as well as must-run and availability profiles for various PEMMDB technologies (thermal, RES, reserves, DSR, batteries and electrolysers).
-
-``Supply Tool``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip
-- **Description:** Contains the TYNDP 2024 Supply Tool.
-
-``TYNDP-2024-Scenarios-Package/TYNDP_2024-Scenario-Report-Data-Figures_240522.xlsx``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip
-- **Description:** Contains the TYNDP Scenarios Report Data Figures data and calculations used to produce the figures in the Scenarios Report.
-
-``TYNDP-2024-Visualisation-Platform``
-
-- **Source:** TYNDP 2024 Visualisation Platform, https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/250117-TYNDP-2024-Visualisation-Platform.zip
-- **Description:** Contains the TYNDP 2024 Visualisation Platform data for both electricity (supply mix, flexibility options, and electricity demand) and hydrogen (supply mix and hydrogen demand).
-
-``TYNDP Nuclear profiles``
-
-- **Source:** Derived from TYNDP 2024 Market Model Outputs
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/nuclear_p_max_pu.zip
-- **Description:** Contains availability profiles for nuclear power plants, derived from normalized generation time series in TYNDP 2024 Market Model Outputs. Resampled weekly, retaining maximum availability factor per week to account for maintenance schedules and forced outages.
-
-``cba/a.3_non-co2-emissions.csv``
-
-- **Source:** TYNDP 2024 Methodology: CBA Implementation Guidelines, https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/cba/a.3_non-co2-emissions.csv
-- **Description:** Contains a CSV file of the extracted Annex A.3 non-CO2 emissions factors table.
diff --git a/mkdocs.yml b/mkdocs.yml
index b5def447fa..355ca64579 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -6,7 +6,7 @@
 site_name: Open-TYNDP
 site_url: https://open-tyndp.readthedocs.io
 repo_url: https://github.com/open-energy-transition/open-tyndp
-repo_name: open-energy-transition/open-tyndp
+repo_name: oet/open-tyndp
 
 docs_dir: doc
 
@@ -101,7 +101,7 @@ plugins:
     enable_inventory: true
     handlers:
       python:
-        paths: [scripts, .]
+        paths: [scripts, scripts/sb, scripts/cba, .]
         options:
           docstring_style: numpy
           show_source: false

From 3c903d8e36b08534f005756655c16ac7682859ab Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 17:15:47 +0200
Subject: [PATCH 087/105] fix: use dc_i_p consistently

---
 scripts/add_brownfield.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/add_brownfield.py b/scripts/add_brownfield.py
index 83e4c10184..4c6468ec4c 100644
--- a/scripts/add_brownfield.py
+++ b/scripts/add_brownfield.py
@@ -74,7 +74,7 @@ def add_brownfield(
     dc_i_p = dc_i.intersection(n_p.links.index)
     n.links.loc[dc_i_p, "p_nom_min"] = n_p.links.loc[dc_i_p, "p_nom_opt"]
     n.links.loc[dc_i_p, "p_nom_max"] = n.links.loc[dc_i_p, "p_nom_max"].clip(
-        lower=n.links.loc[dc_i, "p_nom_min"]
+        lower=n.links.loc[dc_i_p, "p_nom_min"]
     )
 
     for c in n_p.components[["Link", "Generator", "Store"]]:

From 8103aae5776a8a52e81e875217ed7bcfe2672e75 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 18 Jun 2026 17:17:56 +0200
Subject: [PATCH 088/105] fix: add missing kwargs in make_index for
 create_network_topology

---
 scripts/prepare_sector_network.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 45cfab6c4d..a4bebf66fd 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -557,7 +557,9 @@ def create_network_topology(
     if not bidirectional:
         topo_reverse = topo.copy()
         topo_reverse.rename(columns=swap_buses, inplace=True)
-        topo_reverse.index = topo_reverse.apply(make_index, axis=1)
+        topo_reverse.index = topo_reverse.apply(
+            make_index, axis=1, prefix=prefix, connector=connector
+        )
         topo = pd.concat([topo, topo_reverse])
 
     return topo

From fd808db911723c513c5679d31d1cf9a2d96643d7 Mon Sep 17 00:00:00 2001
From: tgilon <22521851+tgilon@users.noreply.github.com>
Date: Fri, 19 Jun 2026 10:44:31 +0000
Subject: [PATCH 089/105] [github-actions.ci] Update locked envs

---
 envs/default_linux-64.pin.txt  |   6 +-
 envs/default_osx-64.pin.txt    |  12 +-
 envs/default_osx-arm64.pin.txt |  12 +-
 envs/default_win-64.pin.txt    |  31 +-
 pixi.lock                      | 546 ++++++++++++++-------------------
 5 files changed, 256 insertions(+), 351 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 2fe3397f07..942eaf1e61 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -18,7 +18,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.2-h0c1763c_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda#b88d90cad08e6bc8ad540cb310a761fb
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_0.conda#93764a5ca80616e9c10106cdaec92f74
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda#b24d3c612f71e7aa74158d92106318b2
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda#18335a698559cdbcd86150a48bf54ba6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
@@ -503,9 +503,9 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
 https://conda.anaconda.org/conda-forge/linux-64/h5py-3.16.0-nompi_py312ha4f8f14_102.conda#b270340809d19ae40ff9913f277b803a
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.26-pyhd8ed1ab_0.conda#6fe1684bf107ce5d814e9ee39b8add2d
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.27-pyhd8ed1ab_0.conda#b2d0ce05d097824ccfa3ab6f52535d0f
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.18.0-pyhd8ed1ab_0.conda#ebdb9fd5092c50620a226c7e23daab3b
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.26-pyhd8ed1ab_0.conda#ce1b275cf8ba620ff0d5a5f4aa85a52b
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.27-pyhd8ed1ab_0.conda#4b9a16cd57559083d52f7a50071dc463
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.12-pyhcf101f3_0.conda#8e6ba36f4f355b2be42009a13b6e8f29
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 295b4451fe..39355428b3 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -14,9 +14,9 @@ https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.53.2-h8f8c405_0.conda#
 https://conda.anaconda.org/conda-forge/osx-64/libmpdec-4.0.0-hf3981d6_1.conda#ec88ba8a245855935b871a7324373105
 https://conda.anaconda.org/conda-forge/osx-64/liblzma-5.8.3-hbb4bfdb_0.conda#becdfbfe7049fa248e52aa37a9df09e2
 https://conda.anaconda.org/conda-forge/osx-64/libffi-3.5.2-hd1f9c09_0.conda#66a0dc7464927d0853b590b6f53ba3ea
-https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.8.1-hcc62823_0.conda#f95dc08366f2a452005062b5bcceac51
+https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.8.1-hcc62823_1.conda#dcfdea7b7013beef0a4d744d776ea38f
 https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h500dc9f_9.conda#4173ac3b19ec0a4f400b4f782910368b
-https://conda.anaconda.org/conda-forge/osx-64/python-3.13.13-h3d5d122_100_cp313.conda#8948c8c7c653ad668d55bbbd6836178b
+https://conda.anaconda.org/conda-forge/osx-64/python-3.13.14-h3d5d122_100_cp313.conda#a8798b5d0bc70f11e1e1183b6795c007
 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.68.2-pyh8f84b5b_1.conda#99ee58c51aae7ee9ab947a0c6ce5a4c7
 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda#9d64911b31d57ca443e9f1e36b04385f
 https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-22.1.7-h0d3cbff_0.conda#301c1db2d75ac8a91f46d21652e08dd6
@@ -275,8 +275,8 @@ https://conda.anaconda.org/conda-forge/osx-64/libnetcdf-4.9.3-nompi_h29b767a_104
 https://conda.anaconda.org/conda-forge/osx-64/cftime-1.6.5-py313hceb611b_1.conda#089a4c77defcfd3f240391864da647c9
 https://conda.anaconda.org/conda-forge/osx-64/netcdf4-1.7.3-nompi_py313hc346fa9_100.conda#b90b19c0e4c9395006e4cde35ea3104a
 https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda#c07a6153f8306e45794774cf9b13bd32
-https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.13-py313hd8ed1ab_100.conda#3a8a8b87e72f95b54689fb588e154ec9
-https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.13-h4df99d1_100.conda#fd00e4b24ea88093c93f5c9bad27b52f
+https://conda.anaconda.org/conda-forge/noarch/cpython-3.13.14-py313hd8ed1ab_100.conda#22ff6a23190a29024b0df04b4caa0c66
+https://conda.anaconda.org/conda-forge/noarch/python-gil-3.13.14-h4df99d1_100.conda#200323d73f85b9c5c411db8c8c4942db
 https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda#aaa2a381ccc56eac91d63b6c1240312f
 https://conda.anaconda.org/conda-forge/osx-64/polars-runtime-32-1.41.2-py310h3769acf_0.conda#89d6149985443c1f88a2d3778c1ab2e8
 https://conda.anaconda.org/conda-forge/noarch/polars-1.41.2-pyh58ad624_0.conda#120e580ad04dadc09105071cabe732ee
@@ -438,9 +438,9 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
 https://conda.anaconda.org/conda-forge/osx-64/h5py-3.16.0-nompi_py313hd52a848_102.conda#279b9853e8b875e3427a6e355e5865ce
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.26-pyhd8ed1ab_0.conda#6fe1684bf107ce5d814e9ee39b8add2d
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.27-pyhd8ed1ab_0.conda#b2d0ce05d097824ccfa3ab6f52535d0f
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.18.0-pyhd8ed1ab_0.conda#ebdb9fd5092c50620a226c7e23daab3b
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.26-pyhd8ed1ab_0.conda#ce1b275cf8ba620ff0d5a5f4aa85a52b
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.27-pyhd8ed1ab_0.conda#4b9a16cd57559083d52f7a50071dc463
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
 https://conda.anaconda.org/conda-forge/noarch/pyshp-3.0.12-pyhcf101f3_0.conda#8e6ba36f4f355b2be42009a13b6e8f29
diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index ace6c82c65..63268fac61 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -14,9 +14,9 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.2-h1ae2325_0.con
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 https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-hd037594_9.conda#620b85a3f45526a8bc4d23fd78fc22f0
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 https://conda.anaconda.org/conda-forge/noarch/tqdm-4.68.2-pyh8f84b5b_1.conda#99ee58c51aae7ee9ab947a0c6ce5a4c7
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@@ -275,8 +275,8 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libnetcdf-4.9.3-nompi_h7a8d41e_
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@@ -438,9 +438,9 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
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 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.18.0-pyhd8ed1ab_0.conda#ebdb9fd5092c50620a226c7e23daab3b
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index ea808563a5..d75e1b45c2 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -5,6 +5,10 @@ https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
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 https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_38.conda#2cdcd8ea1010920911bb2eacb4c61227
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 https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_9.conda#4cb8e6b48f67de0b018719cdf1136306
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-https://conda.anaconda.org/conda-forge/noarch/tsam-3.4.1-pyhc364b38_0.conda#c0cfccba11db0bbcc9a2a647dc99043d
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@@ -49,6 +50,7 @@ https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.4.1-pyhd8ed1ab_0.c
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+https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda#4c06a92e74452cfa53623a81592e8934
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@@ -264,14 +266,15 @@ https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.6-nompi_hae35d4c_110.con
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 https://conda.anaconda.org/conda-forge/noarch/pydeck-0.9.2-pyhd8ed1ab_0.conda#18301be1ab749bc57ae189377836cc47
+https://conda.anaconda.org/conda-forge/noarch/plotly-6.8.0-pyhd8ed1ab_0.conda#499b2e5cc7cf18761cfd20d6fb837f48
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@@ -432,9 +435,9 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
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-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.26-pyhd8ed1ab_0.conda#6fe1684bf107ce5d814e9ee39b8add2d
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.27-pyhd8ed1ab_0.conda#b2d0ce05d097824ccfa3ab6f52535d0f
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diff --git a/pixi.lock b/pixi.lock
index b523b22414..3c96ac2f41 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -147,7 +147,7 @@ environments:
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-  sha256: 0c0f301a17bcb3c31636004c8901c0c2dd348431f2538a612d47627b4a4055e6
-  md5: c0cfccba11db0bbcc9a2a647dc99043d
-  depends:
-  - python >=3.10,<=3.14.5
-  - scikit-learn >=1.3.0,<=1.8.0
-  - pandas >=2.2.0,<=3.0.3
-  - numpy >=1.22.4,<=2.4.6
-  - pyomo >=6.4.3,<=6.10.0
-  - networkx >=2.5,<=3.6.1
-  - tqdm >=4.21.0,<=4.67.3
-  - highspy >=1.7.2,<=1.14.0
-  - plotly >=5.0.0,<=6.6.0
-  - python
-  license: MIT
-  license_family: MIT
-  run_exports: {}
-  size: 3035125
-  timestamp: 1780251452344
 - conda: https://conda.anaconda.org/conda-forge/noarch/typeguard-4.5.2-pyhcf101f3_0.conda
   sha256: 59d7851d32fddb5b510272e6557aa982edeb927d349648dac27f5bf01d18bb26
   md5: 4460f039b7dedf15f7df086446ca75ae
@@ -25007,9 +24971,9 @@ packages:
     - libevent >=2.1.12,<2.1.13.0a0
   size: 372661
   timestamp: 1685726378869
-- conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.8.1-hcc62823_0.conda
-  sha256: 460afe7ba0882e6d2fcc0ad1568dce27025110ec09c2b9ce9e3b49d61e52ce6b
-  md5: f95dc08366f2a452005062b5bcceac51
+- conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.8.1-hcc62823_1.conda
+  sha256: 9c96cc05e056e1bba5b545cbbd57b6e01db622dc2c82934caaaa25cfb22fe666
+  md5: dcfdea7b7013beef0a4d744d776ea38f
   depends:
   - __osx >=11.0
   constrains:
@@ -25017,8 +24981,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 75654
-  timestamp: 1779279058576
+  size: 76020
+  timestamp: 1781204303305
 - conda: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.6-h281671d_1.conda
   sha256: 6394b1bc67c64a21a5cc73d1736d1d4193a64515152e861785c44d2cfc49edf3
   md5: 4ca9ea59839a9ca8df84170fab4ceb41
@@ -27362,21 +27326,21 @@ packages:
     - python
   size: 13685943
   timestamp: 1760368419157
-- conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.13.13-h3d5d122_100_cp313.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.13.14-h3d5d122_100_cp313.conda
   build_number: 100
-  sha256: 6f71b48fe93ebc0dd42c80358b75020f6ad12ed4772fb3555da36000139c0dc7
-  md5: 8948c8c7c653ad668d55bbbd6836178b
+  sha256: a92dd0f84a8a715dc7ac45bacbfdfca9f06eadd2b327cbe915fff9d386ae9ffb
+  md5: a8798b5d0bc70f11e1e1183b6795c007
   depends:
   - __osx >=11.0
   - bzip2 >=1.0.8,<2.0a0
-  - libexpat >=2.7.5,<3.0a0
+  - libexpat >=2.8.1,<3.0a0
   - libffi >=3.5.2,<3.6.0a0
-  - liblzma >=5.8.2,<6.0a0
+  - liblzma >=5.8.3,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.52.0,<4.0a0
+  - libsqlite >=3.53.2,<4.0a0
   - libzlib >=1.3.2,<2.0a0
-  - ncurses >=6.5,<7.0a0
-  - openssl >=3.5.6,<4.0a0
+  - ncurses >=6.6,<7.0a0
+  - openssl >=3.5.7,<4.0a0
   - python_abi 3.13.* *_cp313
   - readline >=8.3,<9.0a0
   - tk >=8.6.13,<8.7.0a0
@@ -27387,8 +27351,8 @@ packages:
     - python_abi 3.13.* *_cp313
     noarch:
     - python
-  size: 17650454
-  timestamp: 1775616128232
+  size: 17520209
+  timestamp: 1781260014001
   python_site_packages_path: lib/python3.13/site-packages
 - conda: https://conda.anaconda.org/conda-forge/osx-64/python-calamine-0.6.1-py313ha265c4a_0.conda
   sha256: cc62157ceea20ca9247d3b55d31ba907039d50a7f480931848426f01c600e36f
@@ -27635,10 +27599,10 @@ packages:
   run_exports: {}
   size: 136396
   timestamp: 1766159518290
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.16-h1ddadc8_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.15.17-h1ddadc8_0.conda
   noarch: python
-  sha256: 694b662dd988bda4168b54fe7313b9cc0378215d796e38d7f3e3b22a211e2e27
-  md5: da82dbe7191b3de371645a43579bd427
+  sha256: a858932daf2b83db7bab909e576a53bb48eeeffc987858f7de732e921bb4b80b
+  md5: c068964d3ca0b96c6628d3944e54e133
   depends:
   - python
   - __osx >=11.0
@@ -27647,8 +27611,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 9247784
-  timestamp: 1780612065116
+  size: 9390418
+  timestamp: 1781212315640
 - conda: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.7.2-py312hfee4f84_0.conda
   sha256: 6c492d58e51107b7f3944526bb7f8b4af4cb6ebcba648c4a08277fa7a4854762
   md5: 9cecc4b9d6cca528546f53a6c0120a04
@@ -30869,9 +30833,9 @@ packages:
     - libevent >=2.1.12,<2.1.13.0a0
   size: 368167
   timestamp: 1685726248899
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.1-hf6b4638_0.conda
-  sha256: 3133fb6bfa871288b92c8b8752696686a841bf4ffe035aa3038033c9e15b738e
-  md5: ef22e9ab1dc7c2f334252f565f90b3b8
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.1-hf6b4638_1.conda
+  sha256: 5af74261101e3c777399c6294b2b5d290e508153268eb2e9ff99c4d69834612f
+  md5: a915151d5d3c5bf039f5ccc8402a436f
   depends:
   - __osx >=11.0
   constrains:
@@ -30879,8 +30843,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 69110
-  timestamp: 1779278728511
+  size: 69362
+  timestamp: 1781203631990
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.6-h1da3d7d_1.conda
   sha256: c6a530924a9b14e193ea9adfe92843de2a806d1b7dbfd341546ece9653129e60
   md5: c215a60c2935b517dcda8cad4705734d
@@ -33265,21 +33229,21 @@ packages:
     - python
   size: 12905286
   timestamp: 1760367318303
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.13-h20e6be0_100_cp313.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.13.14-h448ec07_100_cp313.conda
   build_number: 100
-  sha256: d0fffc5fde21d1ae350da545dfb9e115a8c53bed8a9c5761f9efd4a5581853c1
-  md5: 9991a930e81d3873eba7a299ba783ec4
+  sha256: c89eedab6b293fae654d75483d8f3e5eb3ff9ce2478134d902676c1dd20c7dfd
+  md5: e556c07deaa168043f8430bb046092e2
   depends:
   - __osx >=11.0
   - bzip2 >=1.0.8,<2.0a0
-  - libexpat >=2.7.5,<3.0a0
+  - libexpat >=2.8.1,<3.0a0
   - libffi >=3.5.2,<3.6.0a0
-  - liblzma >=5.8.2,<6.0a0
+  - liblzma >=5.8.3,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.52.0,<4.0a0
+  - libsqlite >=3.53.2,<4.0a0
   - libzlib >=1.3.2,<2.0a0
-  - ncurses >=6.5,<7.0a0
-  - openssl >=3.5.6,<4.0a0
+  - ncurses >=6.6,<7.0a0
+  - openssl >=3.5.7,<4.0a0
   - python_abi 3.13.* *_cp313
   - readline >=8.3,<9.0a0
   - tk >=8.6.13,<8.7.0a0
@@ -33290,8 +33254,8 @@ packages:
     - python_abi 3.13.* *_cp313
     noarch:
     - python
-  size: 12966447
-  timestamp: 1775615694085
+  size: 17017633
+  timestamp: 1781257915644
   python_site_packages_path: lib/python3.13/site-packages
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-calamine-0.6.1-py313h0b74987_0.conda
   sha256: c8e308d8216c2bb4ee1a82defe85672d59a4480f442bb6f9aa647753dbfcea3f
@@ -33548,10 +33512,10 @@ packages:
   run_exports: {}
   size: 132037
   timestamp: 1766159543218
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.16-h80928e0_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.15.17-h80928e0_0.conda
   noarch: python
-  sha256: 6ce34bec1817caf6aa22c7ce28c4aeadd5fe02ea00d74425c498f4ec35276a1c
-  md5: 316cae3a5f921c633f8a6e1eb48604d8
+  sha256: 56035432a678aec0aaa2195b282fd3a6649e4c9909641cad3962c387c3bf17f9
+  md5: c39fd9e9b62acbfe880a8f07f4ff9b77
   depends:
   - python
   - __osx >=11.0
@@ -33560,8 +33524,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 8426033
-  timestamp: 1780612122132
+  size: 8596345
+  timestamp: 1781212277141
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.7.2-py312h79e0ffc_0.conda
   sha256: e46279d674d580dfeeb1c10dede94df65dbb25d951e35978893058e59e496bfa
   md5: c3b31a2189b2a54272ab6831fe16106d
@@ -36649,9 +36613,9 @@ packages:
     - libevent >=2.1.12,<2.1.13.0a0
   size: 410555
   timestamp: 1685726568668
-- conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_0.conda
-  sha256: a65e518c20d1482182bc0f1f6dd5d992f25ca44c3b32307be39ae8310db8f060
-  md5: 23eb9474a16d4b9f6f27429989e82002
+- conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.8.1-hac47afa_1.conda
+  sha256: 1a54d874addda73b6f7164d5f3905821277a1831bcc05edd74b3085391688571
+  md5: ccc490c81ffe14181861beac0e8f3169
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.3,<15
@@ -36661,8 +36625,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 71280
-  timestamp: 1779278786150
+  size: 71631
+  timestamp: 1781203724164
 - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.6-h537db12_1.conda
   sha256: d3b0b8812eab553d3464bbd68204f007f1ebadf96ce30eb0cbc5159f72e353f5
   md5: 85d8fa5e55ed8f93f874b3b23ed54ec6
@@ -38986,21 +38950,6 @@ packages:
   run_exports: {}
   size: 886220
   timestamp: 1764402582887
-- conda: https://conda.anaconda.org/conda-forge/win-64/pyomo-6.10.0-py313hfe59770_0.conda
-  sha256: 6f484d73c78b811c4abebc394505a4544d185e6876e583db03523f999bfe5017
-  md5: 97c2055de3dede0162733fe56084299d
-  depends:
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
-  - setuptools
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: BSD-3-Clause
-  license_family: BSD
-  run_exports: {}
-  size: 7734871
-  timestamp: 1771630949512
 - conda: https://conda.anaconda.org/conda-forge/win-64/pyomo-6.10.1-py312hbb81ca0_1.conda
   sha256: 9c53684a66fa86e833dc573f8da595cf1eaa388ed1440f38c1ec3b0bd00301ae
   md5: 59ff39db0d6598ac55d161861ade8fb7
@@ -39246,34 +39195,6 @@ packages:
     - python
   size: 16697406
   timestamp: 1732734725404
-- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.13-h09917c8_100_cp313.conda
-  build_number: 100
-  sha256: b8108d7f83f71fb15fbb4a263406c2065a8990b3d7eba2cbd7a3075b9a6392ba
-  md5: 7065f7067762c4c2bda1912f18d16239
-  depends:
-  - bzip2 >=1.0.8,<2.0a0
-  - libexpat >=2.7.5,<3.0a0
-  - libffi >=3.5.2,<3.6.0a0
-  - liblzma >=5.8.2,<6.0a0
-  - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.52.0,<4.0a0
-  - libzlib >=1.3.2,<2.0a0
-  - openssl >=3.5.6,<4.0a0
-  - python_abi 3.13.* *_cp313
-  - tk >=8.6.13,<8.7.0a0
-  - tzdata
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: Python-2.0
-  run_exports:
-    weak:
-    - python_abi 3.13.* *_cp313
-    noarch:
-    - python
-  size: 16618694
-  timestamp: 1775613654892
-  python_site_packages_path: Lib/site-packages
 - conda: https://conda.anaconda.org/conda-forge/win-64/python-calamine-0.6.1-py313hf61f64f_0.conda
   sha256: ca577b27972ba4ea82b4f92763621a61e6682b54fe4c2567c807b7e13500856b
   md5: 87c6e4a8b133bb10c5e3fcd3b0aeccff
@@ -39645,10 +39566,10 @@ packages:
   run_exports: {}
   size: 105675
   timestamp: 1766159549377
-- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.16-h45713df_0.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/ruff-0.15.17-h45713df_0.conda
   noarch: python
-  sha256: 94ebd0428d21fe5cb781e8d0bb42ebe06c195c1687e151fb679c7aaf725f30e3
-  md5: 9e19d10e98691ebf78ff7b4582a6c322
+  sha256: 978f2d7f7276f2c690d78893f76421b0f356e245927d7b5da73b86d2e194cf64
+  md5: e78561a61fc6aeac5d2b5419ffc0eadf
   depends:
   - python
   - vc >=14.3,<15
@@ -39657,8 +39578,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 9704002
-  timestamp: 1780611898952
+  size: 9950757
+  timestamp: 1781212099152
 - conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.7.2-py312h91ac024_0.conda
   sha256: 22666360c1026cb5d197ca3f5b6e6e7902414cde266b0bb7e8b50f894254348e
   md5: 640f74b19cfe413de754391df630a15a
@@ -39678,25 +39599,6 @@ packages:
   run_exports: {}
   size: 8736451
   timestamp: 1757433576165
-- conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.8.0-np2py313h4ce4a18_1.conda
-  sha256: 8b69613ebb401fd80d00316b729950c0a1b0ee9d27c8848adf5f3e7619c4e50c
-  md5: 1a636c8e6f5b92fca019972db0ed348e
-  depends:
-  - python
-  - numpy >=1.24.1
-  - scipy >=1.10.0
-  - joblib >=1.3.0
-  - threadpoolctl >=3.2.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - numpy >=1.23,<3
-  - python_abi 3.13.* *_cp313
-  license: BSD-3-Clause
-  license_family: BSD
-  run_exports: {}
-  size: 9043928
-  timestamp: 1765801249980
 - conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.9.0-np2py313h4ce4a18_0.conda
   sha256: 1a3da2875dfe6706cc796e9dde49ec707706d7d0bb250e609085e74ec0824e0e
   md5: 7cf535df7dc3f75881d06532677f5caa

From b4167d02ad214aac100698ac127fa709288f6586 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Fri, 19 Jun 2026 16:31:35 +0200
Subject: [PATCH 090/105] doc: add release note

---
 doc/release_notes.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/doc/release_notes.md b/doc/release_notes.md
index 6e44a86fa1..ef5a6b1e6a 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -35,10 +35,14 @@
 
 * Update benchmarking documentation tables and figures for v0.7.1 ([#711](https://github.com/open-energy-transition/open-tyndp/pull/711)).
 
+* Migrate the Sphinx/RST-based documentation to MkDocs/Markdown, as a follow-up to the [upstream migration](https://github.com/PyPSA/pypsa-eur/pull/2162) ([754](https://github.com/open-energy-transition/open-tyndp/pull/754)).
+
 **Developers Note**
 
 * Change GitHub issue templates to comply with ISO security checks ([#714](https://github.com/open-energy-transition/open-tyndp/pull/714), [#730](https://github.com/open-energy-transition/open-tyndp/pull/730)).
 
+* Introduce SBOM/Grype vulnerability scanning workflow, as a follow-up to the [upstream addition](https://github.com/PyPSA/pypsa-eur/pull/2164) ([754](https://github.com/open-energy-transition/open-tyndp/pull/754)).
+
 
 ## Upcoming PyPSA-Eur Release
 * Security: SBOM security scan included in CI.

From ab0e24346307edc06995b2610f2b6f10a67269c1 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 23 Jun 2026 09:14:59 +0200
Subject: [PATCH 091/105] chore: pin linopy <0.7.0 as long as pypsa < 1.2.2

---
 envs/default_linux-64.pin.txt  |   75 +-
 envs/default_osx-64.pin.txt    |   71 +-
 envs/default_osx-arm64.pin.txt |   65 +-
 envs/default_win-64.pin.txt    |  108 +-
 envs/environment.yaml          |    2 +-
 pixi.lock                      | 2153 +++++++++++++++++++++++---------
 pixi.toml                      |    2 +-
 7 files changed, 1773 insertions(+), 703 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 942eaf1e61..52e22e167d 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -56,7 +56,7 @@ https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.4.1-pyhd8ed1ab_0.c
 https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.3-py312h4c3975b_1.conda#8af3faf88325836e46c6cb79828e058c
 https://conda.anaconda.org/conda-forge/noarch/throttler-1.2.2-pyhd8ed1ab_0.conda#6fc48bef3b400c82abaee323a9d4e290
 https://conda.anaconda.org/conda-forge/noarch/tenacity-9.1.4-pyhcf101f3_0.conda#043f0599dc8aa023369deacdb5ac24eb
-https://conda.anaconda.org/conda-forge/noarch/packaging-26.2-pyhc364b38_0.conda#4c06a92e74452cfa53623a81592e8934
+https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda#58335b26c38bf4a20f399384c33cbcf9
 https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhcf101f3_3.conda#d0fc809fa4c4d85e959ce4ab6e1de800
 https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7.5-pyhcf101f3_0.conda#12389a21e7f69704b0ae77f44355e30b
 https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_1.conda#3c0e753fd317fa10d34020a2bc8add8e
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 39355428b3..557543d745 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 63268fac61..a96d75d76c 100644
--- a/envs/default_osx-arm64.pin.txt
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@@ -428,7 +450,6 @@ https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda
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@@ -455,15 +476,15 @@ https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda#e52c
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 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda#123fcfe0df4b6fc21804538e59cdaafe
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index d75e1b45c2..d867bef57f 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -2,13 +2,9 @@
 # platform: win-64
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda#71b24316859acd00bdb8b38f5e2ce328
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@@ -50,7 +49,6 @@ https://conda.anaconda.org/conda-forge/noarch/tqdm-loggable-0.4.1-pyhd8ed1ab_0.c
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@@ -64,14 +62,14 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.cond
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-https://conda.anaconda.org/conda-forge/win-64/grpcio-1.73.1-py313h3c83859_1.conda#1c1c68305b8e4594f993846576318c46
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@@ -425,7 +448,6 @@ https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-pyhd8ed1ab_5.conda
 https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.1.2-py313hf069bd2_1.conda#0013c110d17d569ce560b7fae6aee0d3
 https://conda.anaconda.org/conda-forge/noarch/deprecated-1.3.1-pyhd8ed1ab_1.conda#5498feb783ab29db6ca8845f68fa0f03
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-https://conda.anaconda.org/conda-forge/win-64/google-crc32c-1.8.0-py313h5327936_1.conda#4f05c693f8d450b49711610815442761
 https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda#c56a7fa5597ad78b62e1f5d21f7f8b8f
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 https://conda.anaconda.org/conda-forge/noarch/semver-3.0.4-pyhcf101f3_1.conda#8e7be844ccb9706a999a337e056606ab
@@ -435,9 +457,9 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
 https://conda.anaconda.org/conda-forge/win-64/h5py-3.16.0-nompi_py313hf7f959b_102.conda#7175a2e76f26eeff49a60ad16862eecd
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
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-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.27-pyhd8ed1ab_0.conda#b2d0ce05d097824ccfa3ab6f52535d0f
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.29-pyhd8ed1ab_0.conda#dddf1c565c4c5cc204202816bf2b6983
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.18.0-pyhd8ed1ab_0.conda#ebdb9fd5092c50620a226c7e23daab3b
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.27-pyhd8ed1ab_0.conda#4b9a16cd57559083d52f7a50071dc463
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.29-pyhd8ed1ab_0.conda#4c53b34aa3251469b44bb3266a5f5458
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@@ -452,16 +474,16 @@ https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda#e52c
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-https://conda.anaconda.org/conda-forge/noarch/distributed-2026.3.0-pyhc364b38_0.conda#8efb90a27e3b948514a428cb99f3fc70
+https://conda.anaconda.org/conda-forge/noarch/distributed-2026.6.0-pyhc364b38_1.conda#2a6851a6c69ce7c0b03a89d5d4209257
 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda#123fcfe0df4b6fc21804538e59cdaafe
-https://conda.anaconda.org/conda-forge/noarch/dask-2026.3.0-pyhc364b38_0.conda#f9761ef056ba0ccef16e01cfceee62c2
+https://conda.anaconda.org/conda-forge/noarch/dask-2026.6.0-pyhc364b38_0.conda#a2d2a05abf6076c3d041ec91b2235823
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 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
-https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
+https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.8-pyhd8ed1ab_0.conda#24a7215036a9904618811301ee2cabab
 https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.5.1-pyhd8ed1ab_0.conda#fc8b15af108a2fdb15ef04d12fbfe87d
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diff --git a/envs/environment.yaml b/envs/environment.yaml
index 265a2e7c79..bb1bdeecda 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -26,7 +26,7 @@ dependencies:
 - ipython >=9.7.0
 - jpype1 >=1.6.0
 - libgdal-netcdf >=3.10.3
-- linopy >=0.6.1
+- linopy >=0.6.1,<0.7.0
 - lxml >=6.0.2
 - matplotlib >=3.10.7
 - memory_profiler >=0.61.0
diff --git a/pixi.lock b/pixi.lock
index 3c96ac2f41..99563364c9 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -24,12 +24,13 @@ environments:
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
-      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.22.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.23.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.1-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.14.1-py312h5d8c7f2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
@@ -53,7 +54,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-hf824e48_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.13.0-ha7a2c86_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h539c000_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py312h90b7ffd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.6.0-py312h90b7ffd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py312hfb8c2c5_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
@@ -72,12 +73,13 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.13-hc93afbd_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py312h0a2e395_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-48.0.1-py312ha4b625e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-49.0.0-py312ha4b625e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-1.1.0-py312h4c3975b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.46.0-h83bc92c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/editdistpy-0.2.0-py312h31af4aa_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.10.1-py312h053e1f3_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.18.1-h27c8c51_0.conda
@@ -86,6 +88,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h9dce30a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.8.0-py312h447239a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.6-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/geos-3.14.1-h480dda7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
@@ -232,6 +235,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.1.2-py312hd9148b4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.7.1-py312h8a5da7c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mumps-include-5.7.3-h82cca05_10.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mumps-seq-5.7.3-h27a6a8b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/muparser-2.3.5-h5888daf_0.conda
@@ -254,6 +258,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.41.2-py310h49dadd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.1-he0df7b0_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/prometheus-cpp-1.3.0-ha5d0236_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/propcache-0.5.2-py312h8a5da7c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/protobuf-6.31.1-py312hb8af0ac_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.2-py312h5253ce2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py312hd0750ca_3.conda
@@ -284,13 +290,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py312h383787d_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/simplejson-4.1.1-py312h4c3975b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.2-h03e3b7b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.50-py312h5253ce2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.51-py312h5253ce2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.53.2-hbc0de68_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.14.6-py312h4f23490_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tbb-2022.3.0-h8d10470_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.7-py312h4c3975b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.12.1-py312h8285ef7_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.13.0-py312h8285ef7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-17.0.1-py312h4c3975b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/uriparser-0.9.8-hac33072_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.25.0-hd6090a7_0.conda
@@ -302,7 +308,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.2-hb711507_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.3.0-hd9031aa_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.47-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.47-h280c20c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.6-he73a12e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.13-he1eb515_0.conda
@@ -324,6 +330,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.8.3-ha02ee65_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.8.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.24.2-py312h8a5da7c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py312h5253ce2_1.conda
@@ -331,6 +338,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.21.0-pyhaa4b35c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
@@ -346,8 +355,8 @@ environments:
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-  - openssl >=3.5.6,<4.0a0
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   license: Apache-2.0 AND BSD-3-Clause AND PSF-2.0 AND MIT
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+  - libgcc >=14
+  - python_abi 3.12.* *_cp312
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+  license_family: MIT
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+  - __glibc >=2.17,<3.0.a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   run_exports: {}
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-  - libgcc >=14
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   - python_abi 3.12.* *_cp312
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   license_family: BSD
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   - python >=3.10
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+  - dask-core >=2026.6.0,<2026.6.1.0a0
+  - distributed >=2026.6.0,<2026.6.1.0a0
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-  - pyyaml >=5.3.1
+  - pyyaml >=5.4.1
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   license_family: BSD
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   license: Apache-2.0
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+- conda: https://conda.anaconda.org/conda-forge/noarch/distributed-2026.6.0-pyhc364b38_1.conda
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+  - dask-core >=2026.6.0,<2026.6.1.0a0
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+  - google-crc32c >=1.6.0,<2.0.0
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+  - google-cloud-storage
+  - requests
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+- conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.8.0-np2py313h4ce4a18_1.conda
+  sha256: 8b69613ebb401fd80d00316b729950c0a1b0ee9d27c8848adf5f3e7619c4e50c
+  md5: 1a636c8e6f5b92fca019972db0ed348e
+  depends:
+  - python
+  - numpy >=1.24.1
+  - scipy >=1.10.0
+  - joblib >=1.3.0
+  - threadpoolctl >=3.2.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - numpy >=1.23,<3
+  - python_abi 3.13.* *_cp313
+  license: BSD-3-Clause
+  license_family: BSD
+  run_exports: {}
+  size: 9043928
+  timestamp: 1765801249980
 - conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.9.0-np2py313h4ce4a18_0.conda
   sha256: 1a3da2875dfe6706cc796e9dde49ec707706d7d0bb250e609085e74ec0824e0e
   md5: 7cf535df7dc3f75881d06532677f5caa
@@ -39742,9 +40702,9 @@ packages:
     - snappy >=1.2.2,<1.3.0a0
   size: 67417
   timestamp: 1762948090450
-- conda: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.50-py313h5fd188c_0.conda
-  sha256: 2622c3b122f23254f78489bdf84b0a05776355b5445322ccebbdc74e4e461a46
-  md5: 60541f9820decf6d566992f020599c76
+- conda: https://conda.anaconda.org/conda-forge/win-64/sqlalchemy-2.0.51-py313h5fd188c_0.conda
+  sha256: db741f0fa67e8357484311968fdb661e780eb150b4bdcc89291c2ef8a018095b
+  md5: 4010f1dc0c5d2322a58acc0fa0c86790
   depends:
   - python
   - greenlet !=0.4.17
@@ -39756,8 +40716,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 3813570
-  timestamp: 1779661518203
+  size: 3814150
+  timestamp: 1781547906277
 - conda: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.53.2-hdb435a2_0.conda
   sha256: 0640ffa3360669c8826f05a8295f38c3bc57dc9cac0c9732940897ff5256f996
   md5: 58e6f936ab416fddc633d4105f43aea2
@@ -39919,9 +40879,9 @@ packages:
   run_exports: {}
   size: 694692
   timestamp: 1756385147981
-- conda: https://conda.anaconda.org/conda-forge/win-64/ujson-5.12.1-py313h927ade5_1.conda
-  sha256: 342a32369280024ba529d0bcc5c2d4458055b6e62dccf643fb5013921a605e70
-  md5: 08b7cb8d5dde60c9a7965c35d0d30207
+- conda: https://conda.anaconda.org/conda-forge/win-64/ujson-5.13.0-py313h927ade5_0.conda
+  sha256: 8d3a6090755109dcf278b327fbb404cc781312407d491d729e75c601d51bcef1
+  md5: 6a5dd36200948d55c883bbaaef99cb4d
   depends:
   - python
   - vc >=14.3,<15
@@ -39931,8 +40891,8 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
-  size: 51482
-  timestamp: 1779460934468
+  size: 51416
+  timestamp: 1781561640861
 - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.1.0-py313hf069bd2_0.conda
   sha256: 09f3bb587199361774612f4e70226d8688eda264b452ec401e1ce904633dde43
   md5: bfa075d1cd7bf341b8189af9616ce537
@@ -39976,9 +40936,9 @@ packages:
     - uriparser >=0.9.8,<1.0a0
   size: 49181
   timestamp: 1715010467661
-- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_38.conda
-  sha256: 61b68e5a4fc71a17f8d64b12e013a2f971ad980bd08e9c389d5e68efe1a67de0
-  md5: 774568633f3b26d7a4a6dd4f9ea6d3e1
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.5-h1b7c187_39.conda
+  sha256: 17693b60cb54f80c60275f003f3bfc1b128af56dbfd65c4fae37c64eeb755ce1
+  md5: 2eacea63f545b97342da520df6854276
   depends:
   - vc14_runtime >=14.51.36231
   track_features:
@@ -39986,45 +40946,45 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
-  size: 20187
-  timestamp: 1780005880049
-- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_38.conda
-  sha256: 957c7c65583c7107a5e76f39756c6361fcb7b0dc101ac7c0aea86e7ca09fe49c
-  md5: 2cdcd8ea1010920911bb2eacb4c61227
+  size: 20362
+  timestamp: 1781320968457
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.51.36231-h1b9f54f_39.conda
+  sha256: 8153ed849c92e891eacac0f2f8d7ecb79f9b5fd7f7917fbb896f252a60a40390
+  md5: 06a5bf5a1ca16cce0df6eaa91fc42bc2
   depends:
   - ucrt >=10.0.20348.0
-  - vcomp14 14.51.36231 h1b9f54f_38
+  - vcomp14 14.51.36231 h1b9f54f_39
   constrains:
-  - vs2015_runtime 14.51.36231.* *_38
+  - vs2015_runtime 14.51.36231.* *_39
   license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
   license_family: Proprietary
   run_exports: {}
-  size: 740997
-  timestamp: 1780005875753
-- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_38.conda
-  sha256: c645fdc1f0f47718431d973386e946754a10200e7ba2c32032560913a970cacd
-  md5: 63ee70d69d7540e821940dac5d4d9ba2
+  size: 737434
+  timestamp: 1781320964561
+- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.51.36231-h1b9f54f_39.conda
+  sha256: 07fb14713c4bc62e2533a2e23a363abfb0e65650681fba0ae4c840e2219350f3
+  md5: 8b53a83fda40ec679e4d63fa32fae989
   depends:
   - ucrt >=10.0.20348.0
   constrains:
-  - vs2015_runtime 14.51.36231.* *_38
+  - vs2015_runtime 14.51.36231.* *_39
   license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
   license_family: Proprietary
   run_exports:
     strong:
     - vcomp14 >=14.51.36231
-  size: 123561
-  timestamp: 1780005858779
-- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.51.36231-h84cd919_38.conda
-  sha256: c4f38268563dc6b8322b0191481e5d20002fc6e37b076c15e0b955a553c8b4a0
-  md5: 6033851d921b6c33f1c3018205fcba6a
+  size: 120684
+  timestamp: 1781320948530
+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.51.36231-h84cd919_39.conda
+  sha256: 6de6c2cf008fc2dce61060b583f2d8494c83883106952b201381b6b0505f03d7
+  md5: 2ccc63d7b7d066a814ed9f99072832d7
   depends:
   - vc14_runtime >=14.51.36231
   license: BSD-3-Clause
   license_family: BSD
   run_exports: {}
-  size: 20170
-  timestamp: 1780005880423
+  size: 20355
+  timestamp: 1781320968804
 - conda: https://conda.anaconda.org/conda-forge/win-64/watchdog-6.0.0-py312h209ec74_3.conda
   sha256: ce118b4eecd52c2b16664524b9a7a1c283e479ac1754587268df03ba732e15ac
   md5: bf3401836efb5fa8fc02fe1d19310fdd
@@ -40286,6 +41246,23 @@ packages:
   run_exports: {}
   size: 151702
   timestamp: 1779246206775
+- conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.24.2-py313hd650c13_0.conda
+  sha256: e3cd6601474e9a808233df49193f339f1484fd4b0259e29863301a38f33596af
+  md5: 66967bcbc121922df483e718df9f5825
+  depends:
+  - idna >=2.0
+  - multidict >=4.0
+  - propcache >=0.2.1
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  run_exports: {}
+  size: 151505
+  timestamp: 1779246206706
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
   sha256: c3e279cb309b153152fcdd6ee6d039ad996d563c849f06be39d85b8e3351df25
   md5: f016c0c5f9c01549b259146614786192
diff --git a/pixi.toml b/pixi.toml
index dbc227378f..9eb5f3cf77 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -75,7 +75,7 @@ highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.6.1"
+linopy = ">=0.6.1,<0.7.0"
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"

From 21c20b9340b56080661ce242ba6e7cef5dc9f76a Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 23 Jun 2026 15:01:01 +0200
Subject: [PATCH 092/105] Apply suggestions from code review

Co-authored-by: Will Usher <will.usher@openenergytransition.org>
Co-authored-by: Thomas Gilon <thomas.gilon@openenergytransition.org>
---
 doc/benchmarking.md | 2 +-
 doc/index.md        | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/doc/benchmarking.md b/doc/benchmarking.md
index 0b1ff7808d..ca228016ef 100644
--- a/doc/benchmarking.md
+++ b/doc/benchmarking.md
@@ -12,7 +12,7 @@ and Cost-Benefit Analysis (CBA) phases.
 * **Cost-Benefit Analysis** indicators are benchmarked for all calculated indicators and
   all projects against the official [TYNDP 2024 CBA results](https://tyndp2024.entsoe.eu/projects-map/transmission).
 
-Benchmarking results are published with every release on [Zenodo](https://doi.org/10.5281/zenodo.18608105) (currently only Scenario Building results).
+Benchmarking results continue to be published with every release on [Zenodo](https://doi.org/10.5281/zenodo.18608105) (currently only Scenario Building results).  View the [project website](https://open-tyndp.openenergytransition.org) for a detailed explanation of the results.
 
 !!! warning
     Open-TYNDP is under active development and is not yet feature-complete. The current
diff --git a/doc/index.md b/doc/index.md
index e1ddfd5a78..e946f89c6c 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -20,7 +20,7 @@
 |
 
 !!! warning
-    Open-TYNDP is under active development and is not yet feature-complete. The current [development status](#development-status) and the general [Limitations](limitations.md) are important to understand before using the model.
+    Open-TYNDP is under active development and is not yet feature-complete. As of v0.7, Open TYNDP was successfully benchmarked against TYNDP 2024 (see [results](https://open-tyndp.openenergytransition.org)). The current [development status](#development-status) and the general [Limitations](limitations.md) are important to understand before using the model.
 
 
 This repository introduces the open-source model of the Open-TYNDP research and innovation project, which is a collaboration between [Open Energy Transition (OET)](https://openenergytransition.org/) and the European Network of Transmission System Operators for Electricity (ENTSO-E).
@@ -72,7 +72,7 @@ Each organisation in this open-source ecosystem remains fully independent of the
 ## Development status {#development-status}
 
 !!! warning
-    Open-TYNDP is under active development and is not yet feature-complete. The current development status and general [limitations](limitations.md) are important to understand before using the model. The model includes partial data from the TYNDP 2024 cycle, and its benchmarking is ongoing. The github repository [issues](https://github.com/open-energy-transition/open-tyndp/issues) collects known topics we are working on (please feel free to help or make suggestions). The fact that this project relies on a soft-fork strategy implies that [upstream issues](https://github.com/PyPSA/PyPSA-Eur/issues) need to be addressed in the PyPSA-Eur repository. This [documentation](https://open-tyndp.readthedocs.io/) also remains work in progress.
+    Open-TYNDP is under active development and is not yet feature-complete. The current development status and general [limitations](limitations.md) are important to understand before using the model. Benchmarking against the TYNDP 2024 cycle is complete and the results can be viewed [online](https://open-tydnp.openenergytransition.org). The github repository [issues](https://github.com/open-energy-transition/open-tyndp/issues) collects known topics we are working on (please feel free to help or make suggestions). The fact that this project relies on a soft-fork strategy implies that [upstream issues](https://github.com/PyPSA/PyPSA-Eur/issues) need to be addressed in the PyPSA-Eur repository. This [documentation](https://open-tyndp.readthedocs.io/) also remains work in progress.
 
 ### Already implemented features
 

From 2c13e22178ab103a06e8370ced7e2786c9e06049 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 23 Jun 2026 16:22:40 +0200
Subject: [PATCH 093/105] Apply suggestions from code review

---
 doc/index.md         |  7 -------
 doc/release_notes.md | 10 +++++-----
 doc/retrieve.md      |  2 +-
 doc/sb.md            | 16 ++++++++--------
 4 files changed, 14 insertions(+), 21 deletions(-)

diff --git a/doc/index.md b/doc/index.md
index e946f89c6c..7344f3ab58 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -17,7 +17,6 @@
 [![Discord](https://img.shields.io/discord/911692131440148490?logo=discord)](https://discord.gg/AnuJBk23FU)
 [![REUSE](https://api.reuse.software/badge/github.com/open-energy-transition/open-tyndp)](https://api.reuse.software/info/github.com/open-energy-transition/open-tyndp)
 
-|
 
 !!! warning
     Open-TYNDP is under active development and is not yet feature-complete. As of v0.7, Open TYNDP was successfully benchmarked against TYNDP 2024 (see [results](https://open-tyndp.openenergytransition.org)). The current [development status](#development-status) and the general [Limitations](limitations.md) are important to understand before using the model.
@@ -67,7 +66,6 @@ Within this ecosystem, independent organisations can develop their own private r
 
 Each organisation in this open-source ecosystem remains fully independent of the shared foundation, maintaining its own governance structure and decision-making processes regarding its codebase. Organisations are also free to keep parts of their code and sensitive data completely private.
 
-|
 
 ## Development status {#development-status}
 
@@ -108,7 +106,6 @@ The back-casting of the 2024 TYNDP cycle involves developing new features based
 </tbody>
 </table>
 
-|
 
 ### Features in development
 
@@ -153,7 +150,6 @@ While multiple TYNDP features are already introduced to the Open-TYNDP model, th
 !!! note "See also"
     See also the [GitHub repository issues](https://github.com/open-energy-transition/open-tyndp/issues) for a comprehensive list of currently open issues.
 
-|
 
 ## Citing Open-TYNDP
 
@@ -161,7 +157,6 @@ If you want to cite a specific Open-TYNDP version, since v0.6, each release is a
 
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg)](https://doi.org/10.5281/zenodo.19372053)
 
-|
 
 Versions v0.5 and v0.5.1 are archived at [10.5281/zenodo.18494362](https://doi.org/10.5281/zenodo.18494362).
 
@@ -169,7 +164,6 @@ If you use Open-TYNDP in your research, please cite it as shown on Zenodo or usi
 
 This work builds upon [PyPSA-Eur](https://github.com/pypsa/pypsa-eur) and follows the methodology described in [ENTSO-E's and entsog's TYNDP 2024 Scenarios Methodology Report](https://2024.entsos-tyndp-scenarios.eu/scenarios-methodology-report/).
 
-|
 
 ## Background on PyPSA-Eur
 
@@ -325,4 +319,3 @@ If you want to cite a specific PyPSA-Eur version, each release of PyPSA-Eur is s
 
 The PyPSA-Eur workflow is continuously tested for Linux, macOS and Windows (WSL only).
 
-|
diff --git a/doc/release_notes.md b/doc/release_notes.md
index ef5a6b1e6a..79c6bf77cc 100644
--- a/doc/release_notes.md
+++ b/doc/release_notes.md
@@ -1009,7 +1009,7 @@
       full year(s) and then sliced to the subannual periods. This is to align
       better with the normalization process that uses annual EIA statistics.
 
-    - In [time_aggregation][], the resampling will now be applied separately
+    - In [build_snapshot_weightings][], the resampling will now be applied separately
       for each year covered in the snapshots. This prevents snapshots that
       overflow into the next year, which simplifies running non-contiguous
       periods.
@@ -1237,12 +1237,12 @@
 * Fail on solving status 'warning' because results are likely not valid.
   ([#1591](https://github.com/PyPSA/pypsa-eur/pull/1591))
 
-* Bugfix in [time_aggregation][]. The resampling produces a contiguous date
+* Bugfix in [build_snapshot_weightings][]. The resampling produces a contiguous date
   range. In case the original index was not contiguous, all rows with zero
   weight must be dropped (corresponding to time steps not included in the
   original snapshots). ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
 
-* Bugfix in [time_aggregation][]. Avoid that aggregated snapshot indices land
+* Bugfix in [build_snapshot_weightings][]. Avoid that aggregated snapshot indices land
   on February 29th in leap years when `enable: drop_leap_day: true`.
   ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
 
@@ -1506,7 +1506,7 @@
   [prepare_sector_network][] to correctly offset the corresponding oil
   emissions. ([#1410](https://github.com/PyPSA/pypsa-eur/pull/1410))
 
-* Add `{sector_opts}` wildcard to [time_aggregation][].
+* Add `{sector_opts}` wildcard to [build_snapshot_weightings][].
   ([#1307](https://github.com/PyPSA/pypsa-eur/pull/1307))
 
 * Resolved a problem where excluding certain countries from `countries`
@@ -2030,7 +2030,7 @@
   ([#1064](https://github.com/PyPSA/pypsa-eur/pull/1064))
 
 * Time aggregation for sector-coupled networks is now its own rule
-  [time_aggregation][]. Time aggregation is constant over planning horizons
+  [build_snapshot_weightings][]. Time aggregation is constant over planning horizons
   of the same network when using time step segmentation.
   ([#1065](https://github.com/PyPSA/pypsa-eur/pull/1065),
   [#1075](https://github.com/PyPSA/pypsa-eur/pull/1075))
diff --git a/doc/retrieve.md b/doc/retrieve.md
index 5b605ce3d0..d45d9a2434 100644
--- a/doc/retrieve.md
+++ b/doc/retrieve.md
@@ -14,7 +14,7 @@ The rules download data into subfolders in the `data/` directory, following the
 Which specific data version is retrieved can be controlled in the [data configuration](configuration.md#data_cf).
 
 For Open-TYNDP runs, most datasets can also be retrieved from a dedicated Google Cloud Storage
-bucket instead of their original sources. See [tyndp_archive](solving.md#tyndp_archive) in the SB documentation.
+bucket instead of their original sources. See [tyndp_archive](sb.md#tyndp_archive) in the SB documentation.
 
 Below some specific `retrieve_<dataset>` rules are documented.
 For more information on the datasets retrieved, see the [data sources](data_sources.md) and *Data inventory* section there in the documentation.
diff --git a/doc/sb.md b/doc/sb.md
index ada4fa52fb..c9d58b9719 100644
--- a/doc/sb.md
+++ b/doc/sb.md
@@ -30,43 +30,43 @@ The following datasets are ingested and processed by dedicated `build_tyndp_*` S
 
 **[PEMMDB 2.5](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip)**
 
-: Installed generation and storage capacities, must-run constraints, and per-unit cost
+Installed generation and storage capacities, must-run constraints, and per-unit cost
 assumptions by country and technology. Also provides efficiency and variable O&M parameters
 for conventional thermal generation sourced from ERAA 2025.
 
 **[PECD 3.1](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PECD.zip)**
 
-: Hourly capacity factor time series for wind (onshore and offshore) and solar PV, derived
+Hourly capacity factor time series for wind (onshore and offshore) and solar PV, derived
 from ERA5 reanalysis data. Profiles are provided per climate year and TYNDP bidding zone.
 
 **[Hydro Inflows](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip)**
 
-: Hourly inflow profiles for reservoir and run-of-river hydro plants, used to constrain
+Hourly inflow profiles for reservoir and run-of-river hydro plants, used to constrain
 hydro dispatch across planning horizons. Profiles are provided per climate year and TYNDP bidding zone.
 
 **[Demand Profiles](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip)**
 
-: Hourly electricity and hydrogen demand profiles by country, interpolated to the target
+Hourly electricity and hydrogen demand profiles by country, interpolated to the target
 planning horizon. Where public profiles do not match fixed values in the Market Model output
 files, the output files are used as the reference.
 
 **[Line Data](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip)**
 
-: Electricity and hydrogen transmission network topology for both the reference grid and
+Electricity and hydrogen transmission network topology for both the reference grid and
 candidate lines. Electricity and H₂ line data are used from 2030 onward.
 
 **[Investment Candidates](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip)**
 
-: Optional extendable transmission and storage assets for the 2035 and 2040 planning horizons.
+Optional extendable transmission and storage assets for the 2035 and 2040 planning horizons.
 
 **[Hydrogen](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip)**
 
-: Hydrogen storage parameters, steam methane reforming (SMR and SMR+CCS) capacities, and
+Hydrogen storage parameters, steam methane reforming (SMR and SMR+CCS) capacities, and
 import pipeline assumptions.
 
 **[Supply Tool](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip)**
 
-: Methane demand and biomass potentials for energy carriers modelled in Open-TYNDP. This is
+Methane demand and biomass potentials for energy carriers modelled in Open-TYNDP. This is
 a scenario output file from the TYNDP 2024 process used as a fixed input.
 
 !!! note

From 8808ee4a6e47e33ebbf643844b3c0156edfd6d61 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 30 Jun 2026 15:30:16 +0200
Subject: [PATCH 094/105] Apply suggestions from code review
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: Daniel Rüdt <117752024+daniel-rdt@users.noreply.github.com>
---
 scripts/build_tyndp_network.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/scripts/build_tyndp_network.py b/scripts/build_tyndp_network.py
index 8256fa004c..10e3a81d36 100644
--- a/scripts/build_tyndp_network.py
+++ b/scripts/build_tyndp_network.py
@@ -408,8 +408,6 @@ def add_links_missing_attributes(
 def build_links(
     grid_fn,
     buses: gpd.GeoDataFrame,
-    geo_crs: str = GEO_CRS,
-    distance_crs: str = DISTANCE_CRS,
 ):
     """
     Process reference grid information to produce link data. p_nom are NTC values.
@@ -420,10 +418,6 @@ def build_links(
         Path to bidding zone shape file.
     buses : GeoDataFrame
         A GeoDataFrame of electrical buses including country and coordinates.
-    geo_crs : CRS, optional
-        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-    distance_crs : CRS, optional
-        Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
 
     Returns
     -------

From 40a01f13fd37262e35eaba0672d3d278c5a2186a Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 30 Jun 2026 14:42:50 +0200
Subject: [PATCH 095/105] ci: reintroduce check-diff stage

---
 .github/workflows/update-lockfile.yaml | 32 ++++++++++++++++++++++++--
 1 file changed, 30 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index 31cfe2a7dc..26a3f42e2d 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -9,10 +9,38 @@ on:
   workflow_dispatch:
 
 jobs:
+  check-diff:
+    runs-on: ubuntu-latest
+    outputs:
+      has_diff: ${{ steps.check_diff.outputs.has_diff }}
+    steps:
+    - uses: actions/checkout@v7
+      with:
+        fetch-depth: 0
+
+    - name: Check pixi files diff
+      id: check_diff
+      run: |
+        if [[ "${{ github.ref }}" == "refs/heads/master" ]]; then
+          echo "has_diff=true" >> $GITHUB_OUTPUT
+          echo "Running on master branch - will proceed with update of lockfiles."
+          exit 0
+        fi
+
+        git fetch origin master
+        if git diff origin/master...HEAD -- pixi.toml pixi.lock | grep -q .; then
+          echo "has_diff=true" >> $GITHUB_OUTPUT
+          echo "Differences found compared to master - will proceed with update of lockfiles."
+        else
+          echo "has_diff=false" >> $GITHUB_OUTPUT
+          echo "No differences found compared to master - will skip update of lockfiles."
+        fi
   update-lockfiles:
+    needs: check-diff
     if: |
-      (github.event_name == 'schedule' && github.ref == 'refs/heads/master') ||
-      (github.event_name != 'schedule' && github.ref != 'refs/heads/master')
+      needs.check-diff.outputs.has_diff == 'true' &&
+      ((github.event_name == 'schedule' && github.ref == 'refs/heads/master') ||
+      (github.event_name != 'schedule' && github.ref != 'refs/heads/master'))
     name: Update lockfiles
     runs-on: ubuntu-latest
     permissions:

From 83eb10e9b4e4e775717caaedbc656322f56d6041 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 30 Jun 2026 15:01:33 +0200
Subject: [PATCH 096/105] refactor: remove external data provider dependency
 for build_electricity_demand_base_tyndp

---
 rules/build_electricity.smk              |  6 +++---
 scripts/build_electricity_demand_base.py | 26 ++++++++++++------------
 2 files changed, 16 insertions(+), 16 deletions(-)

diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index 4208f31558..b5fc23bc18 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -600,16 +600,16 @@ def input_elec_demand_base(w):
     return {
         "base_network": resources("networks/base_s.nc"),
         "regions": resources("regions_onshore_base_s.geojson"),
-        "raster": rules.retrieve_electricity_demand_energy_atlas.output["tif"],
-        "gb_excel": rules.retrieve_desnz_electricity_consumption.output["xlsx"],
         "gb_geojson": rules.retrieve_ons_lad.output["geojson"],
-        "nuts3": resources("nuts3_shapes.geojson"),
     }
 
 
 rule build_electricity_demand_base:
     input:
         unpack(input_elec_demand_base),
+        raster=rules.retrieve_electricity_demand_energy_atlas.output["tif"],
+        gb_excel=rules.retrieve_desnz_electricity_consumption.output["xlsx"],
+        nuts3=resources("nuts3_shapes.geojson"),
         load=resources("electricity_demand.csv"),
     output:
         resources("electricity_demand_base_s.nc"),
diff --git a/scripts/build_electricity_demand_base.py b/scripts/build_electricity_demand_base.py
index 816d2e1cb0..8b8c8ef8b2 100644
--- a/scripts/build_electricity_demand_base.py
+++ b/scripts/build_electricity_demand_base.py
@@ -193,19 +193,6 @@ def upsample_load(
         regions = regions.reindex(substation_lv_i)
     load = pd.read_csv(load_fn, index_col=0, parse_dates=True)
 
-    ea_keys = energy_atlas_distribution_keys(raster_fn, regions)
-    gb_keys = gb_distribution_keys(gb_excel_fn, gb_geojson_fn, regions)
-    nuts3_keys = nuts3_distribution_keys(nuts3_fn, distribution_key, regions)
-
-    factors = ea_keys.combine_first(gb_keys).combine_first(nuts3_keys)
-
-    # sanitize: need to renormalize since `gb_keys` only cover Great Britain
-    # and Northern Ireland is taken from `nuts3_keys`
-    if "GB" in regions.country:
-        uk_regions_i = regions.query("country == 'GB'").index
-        uk_weights = factors.loc[uk_regions_i].sum()
-        factors.loc[uk_regions_i] /= uk_weights
-
     if load_source == "tyndp":
         data_array = xr.DataArray(
             load,
@@ -213,6 +200,19 @@ def upsample_load(
             coords={"time": load.index.values, "bus": load.columns.values},
         )
     else:
+        ea_keys = energy_atlas_distribution_keys(raster_fn, regions)
+        gb_keys = gb_distribution_keys(gb_excel_fn, gb_geojson_fn, regions)
+        nuts3_keys = nuts3_distribution_keys(nuts3_fn, distribution_key, regions)
+
+        factors = ea_keys.combine_first(gb_keys).combine_first(nuts3_keys)
+
+        # sanitize: need to renormalize since `gb_keys` only cover Great Britain
+        # and Northern Ireland is taken from `nuts3_keys`
+        if "GB" in regions.country:
+            uk_regions_i = regions.query("country == 'GB'").index
+            uk_weights = factors.loc[uk_regions_i].sum()
+            factors.loc[uk_regions_i] /= uk_weights
+
         data_arrays = []
 
         for cntry, group in regions.geometry.groupby(regions.country):

From 2eace0ca88a055ea7c93cca4e4b6658235c616cb Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 30 Jun 2026 15:28:21 +0200
Subject: [PATCH 097/105] doc: add comment for linopy pin

---
 pixi.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pixi.toml b/pixi.toml
index 9eb5f3cf77..952abbb44a 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -75,7 +75,7 @@ highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.6.1,<0.7.0"
+linopy = ">=0.6.1,<0.7.0"  # remove <0.7.0 with pypsa > 1.2.4
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"

From ef656523dfb94b6301e3988d357f2915bd3ae5d5 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Tue, 30 Jun 2026 16:47:17 +0200
Subject: [PATCH 098/105] fix: add missing inputs for
 build_elecstricity_demand_base_tyndp

---
 rules/sb.smk | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/rules/sb.smk b/rules/sb.smk
index 7afb03da22..c19014aa5c 100644
--- a/rules/sb.smk
+++ b/rules/sb.smk
@@ -440,6 +440,9 @@ rule build_tyndp_hydro_profile:
 use rule build_electricity_demand_base as build_electricity_demand_base_tyndp with:
     input:
         unpack(input_elec_demand_base),
+        raster=[],
+        gb_excel=[],
+        nuts3=[],
         load=resources("electricity_demand_{planning_horizons}.csv"),
     output:
         resources("electricity_demand_base_s_{planning_horizons}.nc"),

From 055cddbc47c809536f0aafe67d50b859672b005a Mon Sep 17 00:00:00 2001
From: tgilon <22521851+tgilon@users.noreply.github.com>
Date: Wed, 1 Jul 2026 13:48:48 +0000
Subject: [PATCH 099/105] [github-actions.ci] Update locked envs

---
 envs/default_linux-64.pin.txt  |  293 +-
 envs/default_osx-64.pin.txt    |  243 +-
 envs/default_osx-arm64.pin.txt |  239 +-
 envs/default_win-64.pin.txt    |  243 +-
 pixi.lock                      | 9791 +++++++++++++++++++++++---------
 5 files changed, 7699 insertions(+), 3110 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 52e22e167d..32b4991e24 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -1,62 +1,60 @@
 # Generated by `pixi workspace export`
 # platform: linux-64
 @EXPLICIT
-https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
+https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
+https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda#faac990cb7aedc7f3a2224f2c9b0c26c
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 https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
-https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.5.20-hbd8a1cb_0.conda#489b8e97e666c93f68fdb35c3c9b957f
+https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda#0539938c55b6b1a59b560e843ad864a4
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda#a9965dd99f683c5f444428f896635716
 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda#79dd2074b5cd5c5c6b2930514a11e22d
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_19.conda#331ee9b72b9dff570d56b1302c5ab37d
-https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.1-h5347b49_0.conda#7d0a66598195ef00b6efc55aefc7453b
+https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42.2-h5347b49_0.conda#01bb81d12c957de066ea7362007df642
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.2-h0c1763c_0.conda#062b0ac602fb0adf250e3dfa86f221c4
-https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d864d34357c3b65a4b731f78c0801dc4
+https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
 https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda#b88d90cad08e6bc8ad540cb310a761fb
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-https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
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-https://conda.anaconda.org/conda-forge/linux-64/python-3.12.13-hd63d673_0_cpython.conda#7eccb41177e15cc672e1babe9056018e
-https://conda.anaconda.org/conda-forge/noarch/tqdm-4.68.2-pyh8f84b5b_1.conda#99ee58c51aae7ee9ab947a0c6ce5a4c7
+https://conda.anaconda.org/conda-forge/linux-64/python-3.14.5-habeac84_100_cp314.conda#da92e59ff92f2d5ede4f612af20f583f
+https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
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-https://conda.anaconda.org/conda-forge/noarch/python_abi-3.12-8_cp312.conda#c3efd25ac4d74b1584d2f7a57195ddf1
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-https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.33-pthreads_h94d23a6_0.conda#2d3278b721e40468295ca755c3b84070
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-8_h4a7cf45_openblas.conda#00fc660ab1b2f5ca07e92b4900d10c79
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-8_h47877c9_openblas.conda#809be8ba8712c77bc7d44c2d99390dc4
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-8_h0358290_openblas.conda#33a413f1095f8325e5c30fde3b0d2445
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.6-py312h33ff503_0.conda#6e31d55ee1110fda83b4f4045f4d73ff
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.17.1-py312h54fa4ab_1.conda#15995ecb2ef890778ba9a3750190f09d
-https://conda.anaconda.org/conda-forge/noarch/narwhals-2.22.1-pyhcf101f3_0.conda#9450fb40fb1e147d0bcbdf07cd02ca96
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-8_hc00574d_netlib.conda#c7d3ff93656266175cf9d812e257d685
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-8_h8876d29_netlib.conda#fea92afad2f58c4d67c327d15b1b4019
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-8_h8e06fc2_netlib.conda#9c6d4c45abd885f1bee9579143852474
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.4.6-py314h2b28147_0.conda#f49b5f950379e0b97c35ca97682f7c6a
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.18.0-py314hf07bd8e_0.conda#62c390c1f8f51240f1ebc7ba782669ad
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-https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.9.0-np2py312h3226591_0.conda#e6e9b5795bb495325c3b4ebd451519aa
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-https://conda.anaconda.org/conda-forge/linux-64/pandas-2.3.3-py312hf79963d_1.conda#e597b3e812d9613f659b7d87ad252d18
+https://conda.anaconda.org/conda-forge/linux-64/pandas-2.3.3-py314ha0b5721_2.conda#fe3a5c8be07a7b82058bdeb39d33d93b
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-https://conda.anaconda.org/conda-forge/linux-64/highspy-1.14.0-np2py312h0f77346_0.conda#3c2773b3530d49a2ed65ee8e4b477724
-https://conda.anaconda.org/conda-forge/noarch/tsam-2.3.9-pyhd8ed1ab_0.conda#2b661fd7a718757b2e91bbcac81deb48
+https://conda.anaconda.org/conda-forge/linux-64/highspy-1.14.0-np2py314h6477eea_0.conda#5ca3370caefd2b24ed1bde9b44cff045
+https://conda.anaconda.org/conda-forge/noarch/tsam-3.4.1-pyhc364b38_0.conda#c0cfccba11db0bbcc9a2a647dc99043d
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-https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py312h460c074_1.conda#648ee28dcd4e07a1940a17da62eccd40
-https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py312h5253ce2_1.conda#02738ff9855946075cbd1b5274399a41
+https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py314h4a8dc5f_1.conda#cf45f4278afd6f4e6d03eda0f435d527
+https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py314h0f05182_1.conda#2930a6e1c7b3bc5f66172e324a8f5fc3
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@@ -553,9 +548,9 @@ https://conda.anaconda.org/conda-forge/linux-64/libglu-9.0.3-h5888daf_1.conda#84
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+https://conda.anaconda.org/conda-forge/linux-64/python-eccodes-2.46.0-np2py314h56abb78_0.conda#8da2d87e5f1c73ec72c5e827d3df2033
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-https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.8-pyhd8ed1ab_0.conda#24a7215036a9904618811301ee2cabab
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 557543d745..894955bfbe 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -1,13 +1,14 @@
 # Generated by `pixi workspace export`
 # platform: osx-64
 @EXPLICIT
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+https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.3-pyh8f84b5b_0.conda#e5ce43272193b38c2e9037446c1d9206
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@@ -62,17 +63,17 @@ https://conda.anaconda.org/conda-forge/noarch/humanfriendly-10.0-pyh707e725_8.co
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index a96d75d76c..5a1131cef2 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -1,13 +1,14 @@
 # Generated by `pixi workspace export`
 # platform: osx-arm64
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diff --git a/pixi.lock b/pixi.lock
index 99563364c9..37f03c2f0a 100644
--- a/pixi.lock
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@@ -10441,6 +10430,9 @@ packages:
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   license: MIT
   license_family: MIT
+  run_exports:
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@@ -10457,6 +10449,9 @@ packages:
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   license_family: MIT
+  run_exports:
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   license: MIT
+  run_exports:
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   license_family: MIT
+  run_exports:
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   timestamp: 1780096495612
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@@ -10491,6 +10492,9 @@ packages:
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   license_family: MIT
+  run_exports:
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 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
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   - snakemake-interface-common >=1.17.4,<2.0.0
   license: MIT
+  run_exports:
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 - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
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   - snakemake-interface-common >=1.16.0,<2.0.0
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+  run_exports:
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+  run_exports:
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   - libgcc >=14
-  - libllvm22 >=22.1.7,<22.2.0a0
+  - libllvm22 >=22.1.8,<22.2.0a0
   - libstdcxx >=14
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   run_exports:
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-  size: 12818349
-  timestamp: 1780522452233
+    - libclang13 >=22.1.8
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.20.0-hcf29cc6_0.conda
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-  md5: c3cc2864f82a944bc90a7beb4d3b0e88
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.21.0-hcf29cc6_0.conda
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   - libssh2 >=1.11.1,<2.0a0
   - libzlib >=1.3.2,<2.0a0
-  - openssl >=3.5.6,<4.0a0
+  - openssl >=3.5.7,<4.0a0
   - zstd >=1.5.7,<1.6.0a0
   license: curl
   license_family: MIT
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-  size: 468706
-  timestamp: 1777461492876
+    - libcurl >=8.21.0,<9.0a0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.12.1-default_hafda6a7_1003.conda
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   - libgcc >=14
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-  timestamp: 1765089858592
+    - libhwloc >=2.13.0,<2.13.1.0a0
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   size: 18790
   timestamp: 1779859115086
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-8_h8876d29_netlib.conda
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+  - libgfortran
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+  - blas_netlib_2
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-8_h6ae95b6_openblas.conda
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   size: 18824
   timestamp: 1779859122364
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.11.0-8_hb041515_netlib.conda
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+  - libgfortran5 >=14.3.0
+  - liblapack 3.11.0.*
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+  - blas_netlib_2
+  license: BSD-3-Clause
+  license_family: BSD
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm20-20.1.8-hecd9e04_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm22-22.1.7-hf7376ad_0.conda
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-  md5: 963a932cab52c52cb9cda5877d0d8537
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm22-22.1.8-hf7376ad_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-devel-5.8.3-hb03c661_0.conda
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-  md5: 55c20edec8e90c4703787acaade60808
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-  size: 491429
-  timestamp: 1775825511214
+  license: BSD-2-Clause
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.3-nompi_h81b047f_102.conda
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   timestamp: 1780003940664
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libraqm-0.10.5-h75b3fb1_0.conda
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+  - libfreetype >=2.14.3
+  - libfreetype6 >=2.14.3
+  license: MIT
+  license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2025.11.05-h7b12aa8_0.conda
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-  - libgfortran-ng
-  - libgfortran5 >=12.3.0
-  - libzlib >=1.2.13,<2.0a0
-  - xz >=5.2.6,<6.0a0
-  - zlib
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+  - libgfortran
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-  timestamp: 1717069891622
+    - libscotch >=7.0.11,<7.0.12.0a0
+    - libscotch * int64_*
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   - libgfortran
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-  - libhwloc >=2.12.1,<2.12.2.0a0
+  - libhwloc >=2.13.0,<2.13.1.0a0
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx >=14
-  - libzlib >=1.3.1,<2.0a0
+  - libzlib >=1.3.2,<2.0a0
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+  - python >=3.14,<3.15.0a0 *_cp314
+  - python_abi 3.14.* *_cp314
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   - intel-openmp <0.0a0
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   timestamp: 1777595570777
+- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py314_0.conda
+  sha256: 73f55187669399e187a34bdda1e32288cf932d51eb062d0255b1782811a0b883
+  md5: 14e339ba82d7afb1f1ac8c840ef764b5
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 44153074
+  timestamp: 1777595753757
 - conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py313_0.conda
   sha256: 44b3e914f351e1778a64ced7ec8efbd9ef85474f6393d3cfe14a19df37c7f3b8
   md5: c3c73feb63dc1411a37f5e4a7e3daab3
@@ -41379,6 +45961,15 @@ packages:
   license: PROPRIETARY
   size: 44171021
   timestamp: 1777594088427
+- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py314_0.conda
+  sha256: 742e657f1b885240718b8446ab89bdb696bb1b0eb3400cc7f492bb94210fde93
+  md5: 7fdff7b55326f22c88c59b31911e68a1
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 44115662
+  timestamp: 1777594590775
 - conda: https://repo.prefix.dev/open-tyndp/noarch/snakemake-minimal-9.16.2+opentyndp-py_0.conda
   sha256: 4eb4b4ef561e211bfc6732d2c08c59dd2901adc182daa982517d23d74d53b44c
   depends:

From 7c0240acd8cc6bd98a2b49f93ed1f49f3850d536 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 2 Jul 2026 09:15:35 +0200
Subject: [PATCH 100/105] Apply suggestions from code review
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: Daniel Rüdt <117752024+daniel-rdt@users.noreply.github.com>
---
 pixi.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pixi.toml b/pixi.toml
index 952abbb44a..05545f7116 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -75,7 +75,7 @@ highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.6.1,<0.7.0"  # remove <0.7.0 with pypsa > 1.2.4
+linopy = ">=0.6.1,<0.7.0"  # remove <0.7.0 with pypsa >= 1.2.2
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"

From f7e135d80ecdcd0ea9fe69b1a2a82a2c00958758 Mon Sep 17 00:00:00 2001
From: tgilon <22521851+tgilon@users.noreply.github.com>
Date: Thu, 2 Jul 2026 07:17:42 +0000
Subject: [PATCH 101/105] [github-actions.ci] Update locked envs

---
 envs/default_linux-64.pin.txt  |  17 +-
 envs/default_osx-64.pin.txt    |  14 +-
 envs/default_osx-arm64.pin.txt |  14 +-
 envs/default_win-64.pin.txt    |  16 +-
 pixi.lock                      | 432 ++++++++++++++++++---------------
 5 files changed, 266 insertions(+), 227 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 32b4991e24..b0c5cf4331 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -83,7 +83,7 @@ https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.10.0-pyhcf101f3_0.c
 https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_2.conda#03fe290994c5e4ec17293cfb6bdce520
 https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda#b8993c19b0c32a2f7b66cbb58ca27069
 https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda#8e662bd460bda79b1ea39194e3c4c9ab
-https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.0-pyhcf101f3_0.conda#e679dcf15f30bf6e3f1bb3ba69bcf29c
+https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.1-pyhcf101f3_0.conda#7498bb2648f852c6a3cd5724ca80bdeb
 https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.9-pyh29332c3_0.conda#4f14640d58e2cc0aa0819d9d8ba125bb
 https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda#d6989ead454181f4f9bc987d3dc4e285
 https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda#15fe83cb157467c0c85c375f56abf199
@@ -116,7 +116,7 @@ https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.10-hc46dffc_1.c
 https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.13-h4d16d09_1.conda#5f68e67b2b9463501260e731e2999dec
 https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda#3687cc0b82a8b4c17e1f0eb7e47163d5
 https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda#d6bd3cd217e62bbd7efe67ff224cd667
-https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda#5a81866192811f3a0827f5f93e589f02
+https://conda.anaconda.org/conda-forge/noarch/amply-0.1.7-pyhd8ed1ab_0.conda#69a01a9927733014f3955861e2969a7b
 https://conda.anaconda.org/conda-forge/linux-64/pulp-2.8.0-py314h312e2f4_3.conda#057e330e50d141ee706f1d4c46594979
 https://conda.anaconda.org/conda-forge/linux-64/psutil-7.2.2-py314h0f05182_0.conda#4f225a966cfee267a79c5cb6382bd121
 https://conda.anaconda.org/conda-forge/noarch/traitlets-5.15.1-pyhcf101f3_0.conda#37e3be7b6e2977d37b8fa5da229f5dc0
@@ -307,8 +307,8 @@ https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda#c07
 https://conda.anaconda.org/conda-forge/noarch/cpython-3.14.6-py314hd8ed1ab_100.conda#b28fe35fd43d5f425c0dccbe5b5039fd
 https://conda.anaconda.org/conda-forge/noarch/python-gil-3.14.6-h4df99d1_100.conda#224f69f177eb5aae6c9a6052846bf609
 https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda#aaa2a381ccc56eac91d63b6c1240312f
-https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.41.2-py310h49dadd8_0.conda#90b183f5b51fa73ff81a0974b5308fa3
-https://conda.anaconda.org/conda-forge/noarch/polars-1.41.2-pyh58ad624_0.conda#120e580ad04dadc09105071cabe732ee
+https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.42.0-py310h49dadd8_0.conda#ee1871c46914e16694d47e9cf0c2eacb
+https://conda.anaconda.org/conda-forge/noarch/polars-1.42.0-pyh58ad624_0.conda#407e5c3dd0d5966897e0dc6b1485f4a4
 https://conda.anaconda.org/conda-forge/linux-64/libabseil-20250512.1-cxx17_hba17884_0.conda#83b160d4da3e1e847bf044997621ed63
 https://conda.anaconda.org/conda-forge/linux-64/protobuf-6.31.1-py314h503b32b_2.conda#1699ff22b094378d3a4b20019a995cf3
 https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2#c965a5aa0d5c1c37ffc62dff36e28400
@@ -470,7 +470,8 @@ https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.1-pl5321h16c4a6b_1
 https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda#87e6096ec6d542d1c1f8b33245fe8300
 https://conda.anaconda.org/conda-forge/linux-64/libopengl-1.7.0-ha4b6fd6_3.conda#c2bd8055a2e2dce7a7f32cfd02101fb6
 https://conda.anaconda.org/conda-forge/linux-64/libllvm22-22.1.8-hf7376ad_1.conda#298bb2483fc7d15396147cf1c1465359
-https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.8-default_h746c552_2.conda#26dbde0121b51e6707591310a31ed5e0
+https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp22.1-22.1.8-default_h6c227bf_3.conda#864e6d29ec7378b89ff5b5c9c629099e
+https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.8-default_h9692865_3.conda#2a913525f4201f1adab2711fcf6f89b3
 https://conda.anaconda.org/conda-forge/linux-64/pyside6-6.11.1-py314h3987850_1.conda#5d2051f0630a568926943fc53c0aaa4c
 https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.11.0-py314hdafbbf9_0.conda#2d3b012dbe43f0779bbc251b4d02989f
 https://conda.anaconda.org/conda-forge/linux-64/lxml-6.1.1-py314hae3bed6_0.conda#d541b0e73ecc183f9062a1aa95acbd1b
@@ -523,12 +524,12 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
 https://conda.anaconda.org/conda-forge/linux-64/h5py-3.16.0-nompi_py314hc32fe06_102.conda#ef5ecbcea33d98087791c056247df30c
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.35-pyhd8ed1ab_0.conda#9277f34b162bd4f9806f7f3fa80648d5
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.36-pyhd8ed1ab_0.conda#f5e09a21f1ee38e1be4787fea94e6823
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.conda#a359066b94e013283b7e11559fbb19fc
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.34-pyhd8ed1ab_0.conda#5a59d28ee67975f51bced5f25f547e0e
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.0-pyhcf101f3_0.conda#59c5278fdebf4743b753c621fe321e15
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py314ha0b5721_1.conda#fe89c5fa422f215b0d75046ecd4667de
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda#9614359868482abba1bd15ce465e3c42
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 894955bfbe..ed72950e08 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -83,7 +83,7 @@ https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.10.0-pyhcf101f3_0.c
 https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_2.conda#03fe290994c5e4ec17293cfb6bdce520
 https://conda.anaconda.org/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda#b8993c19b0c32a2f7b66cbb58ca27069
 https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda#8e662bd460bda79b1ea39194e3c4c9ab
-https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.0-pyhcf101f3_0.conda#e679dcf15f30bf6e3f1bb3ba69bcf29c
+https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.1-pyhcf101f3_0.conda#7498bb2648f852c6a3cd5724ca80bdeb
 https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.9-pyh29332c3_0.conda#4f14640d58e2cc0aa0819d9d8ba125bb
 https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda#d6989ead454181f4f9bc987d3dc4e285
 https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda#15fe83cb157467c0c85c375f56abf199
@@ -116,7 +116,7 @@ https://conda.anaconda.org/conda-forge/osx-64/coin-or-cgl-0.60.10-hd6b1f2b_1.con
 https://conda.anaconda.org/conda-forge/osx-64/coin-or-cbc-2.10.13-h91c1f21_1.conda#40182fd9a7d3be1a62939710b1bdb6b6
 https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda#3687cc0b82a8b4c17e1f0eb7e47163d5
 https://conda.anaconda.org/conda-forge/noarch/docutils-0.22.4-pyhd8ed1ab_0.conda#d6bd3cd217e62bbd7efe67ff224cd667
-https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda#5a81866192811f3a0827f5f93e589f02
+https://conda.anaconda.org/conda-forge/noarch/amply-0.1.7-pyhd8ed1ab_0.conda#69a01a9927733014f3955861e2969a7b
 https://conda.anaconda.org/conda-forge/osx-64/pulp-2.8.0-py314h123ab73_3.conda#89ba95cb38166a9d5dbadd8b014e7cd8
 https://conda.anaconda.org/conda-forge/osx-64/psutil-7.2.2-py314hd330473_0.conda#d465805e603072c341554159939be5b8
 https://conda.anaconda.org/conda-forge/noarch/traitlets-5.15.1-pyhcf101f3_0.conda#37e3be7b6e2977d37b8fa5da229f5dc0
@@ -294,8 +294,8 @@ https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda#c07
 https://conda.anaconda.org/conda-forge/noarch/cpython-3.14.6-py314hd8ed1ab_100.conda#b28fe35fd43d5f425c0dccbe5b5039fd
 https://conda.anaconda.org/conda-forge/noarch/python-gil-3.14.6-h4df99d1_100.conda#224f69f177eb5aae6c9a6052846bf609
 https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda#aaa2a381ccc56eac91d63b6c1240312f
-https://conda.anaconda.org/conda-forge/osx-64/polars-runtime-32-1.41.2-py310h3769acf_0.conda#89d6149985443c1f88a2d3778c1ab2e8
-https://conda.anaconda.org/conda-forge/noarch/polars-1.41.2-pyh58ad624_0.conda#120e580ad04dadc09105071cabe732ee
+https://conda.anaconda.org/conda-forge/osx-64/polars-runtime-32-1.42.0-py310h3769acf_0.conda#e86a89e68c80f641ba5aa7523a61130b
+https://conda.anaconda.org/conda-forge/noarch/polars-1.42.0-pyh58ad624_0.conda#407e5c3dd0d5966897e0dc6b1485f4a4
 https://conda.anaconda.org/conda-forge/osx-64/libabseil-20250512.1-cxx17_hfc00f1c_0.conda#ddf1acaed2276c7eb9d3c76b49699a11
 https://conda.anaconda.org/conda-forge/osx-64/protobuf-6.31.1-py314hbf63cc6_2.conda#7defaa043d0a76a76df0c81cac169144
 https://conda.anaconda.org/conda-forge/osx-64/libcrc32c-1.1.2-he49afe7_0.tar.bz2#23d6d5a69918a438355d7cbc4c3d54c9
@@ -464,12 +464,12 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
 https://conda.anaconda.org/conda-forge/osx-64/h5py-3.16.0-nompi_py314hd1d8aca_102.conda#7dc73b286baa99b2abf400421c61626a
 https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda#ca7f9ba8762d3e360e47917a10e23760
 https://conda.anaconda.org/conda-forge/noarch/jmespath-1.1.0-pyhcf101f3_1.conda#cc73a9bd315659dc5307a5270f44786f
-https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.35-pyhd8ed1ab_0.conda#9277f34b162bd4f9806f7f3fa80648d5
+https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.36-pyhd8ed1ab_0.conda#f5e09a21f1ee38e1be4787fea94e6823
 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.conda#a359066b94e013283b7e11559fbb19fc
-https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.34-pyhd8ed1ab_0.conda#5a59d28ee67975f51bced5f25f547e0e
+https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.0-pyhcf101f3_0.conda#59c5278fdebf4743b753c621fe321e15
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
 https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py314hc4308db_1.conda#86496825870c3bc6af922d58ed3ba613
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 5a1131cef2..a599078848 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -83,7 +83,7 @@ https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.10.0-pyhcf101f3_0.c
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+https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.1-pyhcf101f3_0.conda#7498bb2648f852c6a3cd5724ca80bdeb
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@@ -116,7 +116,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/coin-or-cgl-0.60.10-h034796e_1.
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@@ -294,8 +294,8 @@ https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda#c07
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 https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20250512.1-cxx17_hd41c47c_0.conda#360dbb413ee2c170a0a684a33c4fc6b8
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@@ -460,12 +460,12 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index 5ca9a0e686..d7645979cb 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
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@@ -121,7 +121,7 @@ https://conda.anaconda.org/conda-forge/win-64/coin-or-cgl-0.60.9-hacf86d0_5.cond
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-https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda#5a81866192811f3a0827f5f93e589f02
+https://conda.anaconda.org/conda-forge/noarch/amply-0.1.7-pyhd8ed1ab_0.conda#69a01a9927733014f3955861e2969a7b
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@@ -289,8 +289,8 @@ https://conda.anaconda.org/conda-forge/noarch/toolz-1.1.0-pyhd8ed1ab_1.conda#c07
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@@ -411,7 +411,7 @@ https://conda.anaconda.org/conda-forge/win-64/libvulkan-loader-1.4.341.0-h477610
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+https://conda.anaconda.org/conda-forge/win-64/libclang13-22.1.8-default_hf735972_3.conda#c45c5a60b68368f62415941c1d9f0ab7
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@@ -458,12 +458,12 @@ https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.t
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 https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.conda#a359066b94e013283b7e11559fbb19fc
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diff --git a/pixi.lock b/pixi.lock
index 37f03c2f0a..fcf61bc996 100644
--- a/pixi.lock
+++ b/pixi.lock
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.8-default_h746c552_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp22.1-22.1.8-default_h6c227bf_3.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.41.2-py310h49dadd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-runtime-32-1.42.0-py310h49dadd8_0.conda
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@@ -331,10 +332,10 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.14.0-pyhcf101f3_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.35-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.36-pyhd8ed1ab_0.conda
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@@ -465,7 +466,7 @@ environments:
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+  - __osx >=11.0
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-  size: 41188306
-  timestamp: 1780146275328
+  size: 40597497
+  timestamp: 1782310403483
 - conda: https://conda.anaconda.org/conda-forge/osx-64/proj-9.6.2-h8462e38_2.conda
   sha256: d3bad35930d6ddaef85881c0bc88a5cd5122a6efa4a8f6b645d4642053f172f7
   md5: 00a64f7f9888ad6a05ff9766058c33cc
@@ -36538,10 +36558,10 @@ packages:
     - pixman >=0.46.4,<1.0a0
   size: 248045
   timestamp: 1754665282033
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-runtime-32-1.41.2-py310hb2fc7d1_0.conda
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-runtime-32-1.42.0-py310hb2fc7d1_0.conda
   noarch: python
-  sha256: 4715eb15abba0e7b8c41e08145f026cb183a62e3a3efee74f678cf64a8319070
-  md5: 6953292a6ca15934f9f003498f61f3c6
+  sha256: d8c2d6421a4fecf40a36b0bfdda888a8dfb1c7b67b470f144f8f4253b47e48d2
+  md5: 691bbf4b0cbb87a6edda5b56cf8cce4c
   depends:
   - python
   - libcxx >=19
@@ -36553,8 +36573,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 36292549
-  timestamp: 1780146248330
+  size: 37492321
+  timestamp: 1782310291927
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/proj-9.6.2-hdbeaa80_2.conda
   sha256: 75e4bfa1a2d2b46b7aa11e2293abfe664f5775f21785fb7e3d41226489687501
   md5: e68d0d91e188ab134cb25675de82b479
@@ -41223,6 +41243,24 @@ packages:
     - libclang13 >=22.1.8
   size: 30487117
   timestamp: 1781848941933
+- conda: https://conda.anaconda.org/conda-forge/win-64/libclang13-22.1.8-default_hf735972_3.conda
+  sha256: 34a25466769d1233d8f36a78d5f9f40279bae3fc4b70852acbd04b159ac4d183
+  md5: c45c5a60b68368f62415941c1d9f0ab7
+  depends:
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - libzlib >=1.3.2,<2.0a0
+  - libxml2
+  - libxml2-16 >=2.14.6
+  - zstd >=1.5.7,<1.6.0a0
+  license: Apache-2.0 WITH LLVM-exception
+  license_family: APACHE
+  run_exports:
+    weak:
+    - libclang13 >=22.1.8
+  size: 34917944
+  timestamp: 1782358781159
 - conda: https://conda.anaconda.org/conda-forge/win-64/libcrc32c-1.1.2-h0e60522_0.tar.bz2
   sha256: 75e60fbe436ba8a11c170c89af5213e8bec0418f88b7771ab7e3d9710b70c54e
   md5: cd4cc2d0c610c8cb5419ccc979f2d6ce
@@ -43656,10 +43694,10 @@ packages:
     - pixman >=0.46.4,<1.0a0
   size: 542795
   timestamp: 1754665193489
-- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.41.2-py310hd2b7e2a_0.conda
+- conda: https://conda.anaconda.org/conda-forge/win-64/polars-runtime-32-1.42.0-py310hd2b7e2a_0.conda
   noarch: python
-  sha256: de9bd428d7d2197ccfa35e698e9cd13dedaf8968538fba40fc95d88a5427742d
-  md5: f90a53c5133c960812d49ba131ae2c05
+  sha256: b356938e373095b0fd3a05b5bd75d268cd50f2d88a8cc109bc6138a0d52a6e58
+  md5: 021394afe14c10a60ade1318ae8122e5
   depends:
   - python
   - vc >=14.3,<15
@@ -43670,8 +43708,8 @@ packages:
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 42740369
-  timestamp: 1780146195695
+  size: 43569994
+  timestamp: 1782310038327
 - conda: https://conda.anaconda.org/conda-forge/win-64/proj-9.6.2-h7990399_2.conda
   sha256: e798e9bd658f6c00cfac0d8573c7fe97d9ebad5966c96c23e0702f44e51905bb
   md5: 6e0e8fcc3eb2c1418d663005bf040d8d

From 55196339e9ff0181f58755dcd441f536832205c1 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 2 Jul 2026 10:49:44 +0200
Subject: [PATCH 102/105] refactor: extend removal of external data provider
 for build_electricity_demand_base_tyndp

---
 rules/build_electricity.smk | 2 +-
 rules/sb.smk                | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index b5fc23bc18..93d1ea3a56 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -600,7 +600,6 @@ def input_elec_demand_base(w):
     return {
         "base_network": resources("networks/base_s.nc"),
         "regions": resources("regions_onshore_base_s.geojson"),
-        "gb_geojson": rules.retrieve_ons_lad.output["geojson"],
     }
 
 
@@ -609,6 +608,7 @@ rule build_electricity_demand_base:
         unpack(input_elec_demand_base),
         raster=rules.retrieve_electricity_demand_energy_atlas.output["tif"],
         gb_excel=rules.retrieve_desnz_electricity_consumption.output["xlsx"],
+        gb_geojson=rules.retrieve_ons_lad.output["geojson"],
         nuts3=resources("nuts3_shapes.geojson"),
         load=resources("electricity_demand.csv"),
     output:
diff --git a/rules/sb.smk b/rules/sb.smk
index c19014aa5c..c6c7c121ab 100644
--- a/rules/sb.smk
+++ b/rules/sb.smk
@@ -442,6 +442,7 @@ use rule build_electricity_demand_base as build_electricity_demand_base_tyndp wi
         unpack(input_elec_demand_base),
         raster=[],
         gb_excel=[],
+        gb_geojson=[],
         nuts3=[],
         load=resources("electricity_demand_{planning_horizons}.csv"),
     output:

From 1c959b18ccdb45199b920ffa376d25c40ebd918c Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Thu, 2 Jul 2026 14:46:18 +0200
Subject: [PATCH 103/105] chore: fix indentation for pixi tasks

---
 pixi.toml | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/pixi.toml b/pixi.toml
index 05545f7116..3080c56d2e 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -208,7 +208,7 @@ tyndp-cyears-test = """bash -c '
 """
 create-tyndp-graphs = """
 	snakemake -call rulegraphs filegraphs --configfile config/config.tyndp.yaml
- """
+"""
 tyndp-sb = """
     snakemake -call --configfile config/config.tyndp.yaml
 """
@@ -220,10 +220,10 @@ tyndp-cba = """
 """
 launch-presolved-explorer = """
 	snakemake -call launch_presolved_explorer --configfile config/config.tyndp.yaml
- """
+"""
 close-explorers = """
 	snakemake -call close_explorers --configfile config/config.tyndp.yaml
- """
+"""
 clean-tyndp = """
      snakemake -call --configfile config/test/config.tyndp.yaml --delete-all-output ;
      snakemake -call cba --configfile config/test/config.tyndp.yaml --delete-all-output ;
@@ -231,7 +231,7 @@ clean-tyndp = """
      snakemake -call --configfile config/config.tyndp.yaml --delete-all-output ;
      snakemake -call cba --configfile config/config.tyndp.yaml --delete-all-output ;
      echo "All tyndp outputs have been cleaned up."
- """
+"""
 all-tests = {depends-on = ["tyndp-sb-test", "tyndp-cba-test", "clean-tyndp", "integration-tests", "clean-tests", "unit-tests"]}
 
 [feature.open-tyndp.dependencies]

From 4961e06a669676ef2e2e769d9aeefbafb4d6a570 Mon Sep 17 00:00:00 2001
From: tgilon <22521851+tgilon@users.noreply.github.com>
Date: Thu, 2 Jul 2026 12:49:09 +0000
Subject: [PATCH 104/105] [github-actions.ci] Update locked envs

---
 envs/default_linux-64.pin.txt  |  2 +-
 envs/default_osx-64.pin.txt    |  2 +-
 envs/default_osx-arm64.pin.txt |  2 +-
 envs/default_win-64.pin.txt    |  2 +-
 pixi.lock                      | 70 +++++++++++++++++-----------------
 5 files changed, 39 insertions(+), 39 deletions(-)

diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index b0c5cf4331..2d6f3558b5 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -529,7 +529,7 @@ https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.con
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda#0b9176cd15bf526d74fd6638df5194af
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.25.0-py314ha0b5721_1.conda#fe89c5fa422f215b0d75046ecd4667de
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda#9614359868482abba1bd15ce465e3c42
diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index ed72950e08..4eedf5f6a2 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
@@ -469,7 +469,7 @@ https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.con
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda#0b9176cd15bf526d74fd6638df5194af
 https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.25.0-py314hc4308db_1.conda#86496825870c3bc6af922d58ed3ba613
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda#9614359868482abba1bd15ce465e3c42
diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index a599078848..8f09d60966 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -465,7 +465,7 @@ https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.con
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda#0b9176cd15bf526d74fd6638df5194af
 https://conda.anaconda.org/conda-forge/osx-arm64/cartopy-0.25.0-py314ha3d490a_1.conda#5def62152c68e2343228e1b27a9338c0
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda#9614359868482abba1bd15ce465e3c42
diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index d7645979cb..cdda585bb9 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -463,7 +463,7 @@ https://conda.anaconda.org/conda-forge/noarch/s3transfer-0.19.0-pyhd8ed1ab_0.con
 https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.36-pyhd8ed1ab_0.conda#f740e8acb38ea16c22e60b6fc0ae7c9e
 https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.5.1-pyhd8ed1ab_0.conda#3fab2110d93a828f88ace66e418d6ef8
 https://conda.anaconda.org/conda-forge/noarch/copernicusmarine-2.4.1-pyhd8ed1ab_0.conda#690847cdb78772816f430fc91490f915
-https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda#e7a21e9b9a9755570cbcd2ef0d488256
+https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda#0b9176cd15bf526d74fd6638df5194af
 https://conda.anaconda.org/conda-forge/win-64/cartopy-0.25.0-py314hd8fd7ce_1.conda#f087cf669551d9c98b68869395f311f4
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.6.0-pyhf9edf01_1.conda#d7585b6550ad04c8c5e21097ada2888e
 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda#9614359868482abba1bd15ce465e3c42
diff --git a/pixi.lock b/pixi.lock
index fcf61bc996..a572214cf9 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -488,7 +488,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -746,7 +746,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -1238,7 +1238,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -1724,7 +1724,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -2576,7 +2576,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -2899,7 +2899,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-26.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pypsa-1.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pystac-1.14.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda
@@ -3466,7 +3466,7 @@ environments:
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@@ -7294,7 +7294,7 @@ environments:
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@@ -8635,7 +8635,7 @@ environments:
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@@ -8958,7 +8958,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
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@@ -9525,7 +9525,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
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@@ -10085,7 +10085,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
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@@ -22785,17 +22785,17 @@ packages:
   run_exports: {}
   size: 44699
   timestamp: 1770992960710
-- conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.1-pyhcf101f3_0.conda
-  sha256: 25ecd0ca50dfa0c3cb790198cb136a64ac5a6f32e0d817c638d44dbcc2e2c21b
-  md5: e7a21e9b9a9755570cbcd2ef0d488256
+- conda: https://conda.anaconda.org/conda-forge/noarch/pyshp-3.1.2-pyhcf101f3_0.conda
+  sha256: 23cedb25c67c83308f235a11d4eaa2f2cf0825850e8711f2ebde04cdabe9b119
+  md5: 0b9176cd15bf526d74fd6638df5194af
   depends:
   - python >=3.10
   - python
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 501075
-  timestamp: 1782335022783
+  size: 504983
+  timestamp: 1782386671531
 - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
   sha256: d016e04b0e12063fbee4a2d5fbb9b39a8d191b5a0042f0b8459188aedeabb0ca
   md5: e2fd202833c4a981ce8a65974fe4abd1
@@ -24067,20 +24067,20 @@ packages:
   run_exports: {}
   size: 40032
   timestamp: 1746267229282
-- conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.1.2-pyhcf101f3_0.conda
-  sha256: 6a62bcf69d4f02172ee4047cdd0b2a1735ce23b5fb9968ffe63289ac5e5f787f
-  md5: a6004067bfcb46830024afc8cb927246
+- conda: https://conda.anaconda.org/conda-forge/noarch/vcs_versioning-2.2.0-pyhcf101f3_0.conda
+  sha256: 2c1e6b47728b0400932cbf70626868296d462249f6b641ab5bb6a54c27179a34
+  md5: e161e3b199d9978454b5744ae883dcf2
   depends:
   - python >=3.10
   - packaging >=20
   - tomli >=1
-  - typing_extensions
+  - typing_extensions >=4.1
   - python
   license: MIT
   license_family: MIT
   run_exports: {}
-  size: 82624
-  timestamp: 1782297377827
+  size: 83103
+  timestamp: 1782386657516
 - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.5.1-pyhcf101f3_0.conda
   sha256: 0a7b0a2ada7ad719f9d4f8874eb10911e1fcfdecefc86456105eb806ebd60ac4
   md5: e449fb99b714be1e13fa5564dacd1af5

From 0d0c02e29c1053b85a39a7100b7aaff38c7417e7 Mon Sep 17 00:00:00 2001
From: Thomas Gilon <thomas.gilon@openenergytransition.org>
Date: Fri, 3 Jul 2026 16:58:18 +0200
Subject: [PATCH 105/105] fix: sort new links to ensure reproducibility

---
 scripts/prepare_sector_network.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index a4bebf66fd..9cfc952324 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -104,7 +104,7 @@ def attach_tyndp_transmission_projects(
             projects = pd.concat([projects, new_projects])
 
     links = n.links[n.links.carrier == "DC"].index
-    new_links = projects.loc[list(set(projects.index) - set(links))]
+    new_links = projects.loc[sorted(set(projects.index) - set(links))]
     n.links.loc[links, "p_nom"] += projects.reindex(links, fill_value=0).p_nom
 
     if not new_links.empty: