Energy Price Window

Energy Price Window calculates the cheapest time window based on electricity price data from Energidataservice or Stromligning.
It creates a binary sensor that turns on when the current time is within the optimal (lowest-price) window and exposes detailed attributes for automations and dashboards — ideal for scheduling energy-intensive tasks like EV charging or heating during the cheapest hours.

Installation

1. In Home Assistant, open HACS → Integrations
2. Click the ⋮ (menu) in the top-right → Custom repositories
3. In the dialog:
   • Repository: https://github.com/JBoye/energy_price_window
   • Type: Integration
4. Click Add, then Close
5. The repository will now appear in HACS — search for Energy Price Window and click Download
6. Restart Home Assistant to load the integration

Setup

1. Go to Settings → Devices & Services → Integrations

2. Click Add Integration and search for Energy Price Window

3. Fill out the fields in the setup dialog:

   • sensor_name — Select a energy price sensor. Currently tested with the Energidataservice and Stromligning integration
   • forecast_source_entity — (Optional) Select an entity that provides forecast data
   • name — Enter a friendly name for this price window (e.g. Cheapest 3h Window)
   • start_time — (Optional) Restrict calculation to start after this time
     • Defaults to {{ now() }}
     • Accepts both time strings (e.g. 07:00) and templates
   • end_time — (Optional) Restrict calculation to end before this time
     • Defaults to the available data range in the selected price or forecast sensor
     • Accepts both time strings and templates
   • duration — Set the length of the window (e.g. 3:00 for 3 hours)
     • Accepts both time strings and templates
   • continuous — Toggle ON to only allow continuous time windows (default: ON)

4. Click Submit

5. A new binary_sensor will be created. It turns on when the current time falls within the cheapest calculated price window.

Sensor Attributes

The binary sensor provides detailed information about the current and next cheapest price window:

Attribute	Description	Example
intervals	List of one or more optimal intervals. If continuous = true, there will always be exactly one interval.	start: '2025-11-04T01:45:00+01:00', end: '2025-11-04T04:25:00+01:00', average: 1.2171875
start_time	Start of the price data range considered	November 3, 2025 at 14:14:00
end_time	End of the price data range considered	November 4, 2025 at 07:00:00
duration	Duration of the target window (in hours)	2.67
continuous	Whether the window must be a single, continuous period	true
next_start_time	Start of the next cheapest period	November 4, 2025 at 01:45:00
average	Average price within the current cheapest window	1.22
last_calculated	Timestamp of the latest calculation	November 3, 2025 at 14:14:00