The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform
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Updated
Jul 30, 2026 - Python
The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform
Integration for Home Assistant to fetch day ahead energy prices from European countries via ENTSO-e Transparency Platform
Transforms electricity spot price into thermostat control signal. Home Assistant custom component.
Simple aio library to download Spanish electricity hourly prices (PVPC) from esios.ree.es
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
Predicts the CAISO day-ahead market hourly prices using different forecasting methods including ARIMA and LSTM.
Home Assistant Component to pull the latest energy prices from Amber Electric
Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.
Dockerized Deno application that gets and caches electricity prices (spot price) from ENTSO-e.
This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumption using advanced algorithms, outperforming an optimal linear programming solution.
An interactive and up-to-date map for exploring electricity prices in Europe
ENTSO-e transparency platform API Client built for Deno. Complete. Easy to use. Minimal.
Parses electric utility companies (Cez)
An interactive CLI and a Python module for Oma Helen web portal
Developed various models to forecast hourly electricity prices provided by the EXIST Market Transparency Platform
Master Thesis Electricity markets simulaiton of Day-Ahead price formation in 2030 with large share of batteries (incl V2G) acting and competing with each other and itself
Strompriser is a robust microservice to fetch and process Norwegian electricity prices
A co-optimization model between Energy and Ancillary Service (AS) products. We pull Energy and AS prices using the Gridstatus API using Pyomo for model setup and GLPK for solver.
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