Integration for Home Assistant to fetch day ahead energy prices from European countries via ENTSO-e Transparency Platform

Data and code of my paper "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources"

Long term electricity market agent based model simulation used to observe the effect of policy on investment decisions

Python package to import data from OMIE (Iberian Peninsula's Electricity Market Operator): https://www.omie.es/

Harvard CS109: A predictive model for electricity prices in the midwest, and more specifically, the prices of nodes where nuclear plants are located

Dynamic electricity carbon emission factors and prices for Europe

Smart power manager for optimized solar power usage as well as greenest and cheapest energy purchase

Home Assistant Component to pull the latest energy prices from Amber Electric

Dispatch and investment model for a fully renewable power sector

Quantitative Analysis & Trading of the Electricity Market

Find the electricity market clearing price and clearing quantity (graphical method) using python.

Unified Python client for European power market data. Nord Pool, EPEX SPOT, ENTSO-E, EEX.

ENTSO-e transparency platform API Client built for Deno. Complete. Easy to use. Minimal.

Python library for building day-ahead and intraday auction bids for European power markets. Curve construction, block bids, linked orders, exclusive groups, and EUPHEMIA-compatible output. Built for the 15-minute MTU era. Part of the Phase Nexa toolkit.

A multi-country electricity market and district heating model

A framework to solve a decentralized OPF with the help of ADMM

Illustrative examples of a multi-objective program subject to a binary quasi-equilibrium

Deep learning models for short term electric load forecasting

This plugin enables automation of electricity-intensive appliances using Nordpool price levels.

Decision-Focused Learning (DFL) for day-ahead scheduling of Underground Pumped Hydro Energy Storage (UPHES).