Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant
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Updated
Mar 25, 2026 - Python
Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant
Python library for Montel EQ's Time Series API.
This R package provides a crawler to scrape the European Energy Market EPEX SPOT at https://www.epexspot.com and the European Energy Exchange at https://www.eex.com
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.
Python client to interact with EnAppSys' API services.
This R package provides functions to crawl the german operating reserve market platform (balancing power market) at https://www.regelleistung.net/
Energy Market Analysis for Boston Consulting Group Internship
This program optimizes the operation and bidding strategy of renewable-based Virtual Power Plants (RVPPs) under different sources of uncertainty using MILP-based flexible robust optimization approaches. The model considers RVPP participation in the Day-Ahead, Secondary Reserve, and Intra-Day Iberian electricity markets.
TradeRES EU Project: A pioneering Ethereum-based blockchain framework for facilitating secure and efficient energy trading. This repository houses the smart contracts for the EnergyToken and EnergyExchange platforms, enabling the production, consumption, and trading of renewable energy tokens. Explore the future of decentralized energy markets.
End-to-end forecasting of German day-ahead electricity prices using SMARD data, feature engineering, XGBoost, Ridge, and Prophet.
Analiza wpływu fotowoltaiki na polski rynek energii (2022-2026). Projekt bada zjawisko "Krzywej Kaczki" oraz korelację między produkcją OZE a rynkowymi cenami energii (RCE). Wykorzystano SQL do ETL oraz Power BI do modelowania danych i wizualizacji trendów. Wnioski: pogłębianie dolin cenowych w szczytach produkcji.
Python-based energy-credit stress testing framework that forecasts electricity prices, translates shocks into SME cash flows and default risk, and estimates portfolio losses using Monte Carlo simulation.
A repository for the Data Science LAB course project.
SolarChain: Blockchain for Sustainable Energy Optimization
Fast, zero-dependency streaming reader for AEMO MDFF — NEM12 (interval) and NEM13 (accumulation) metering files. Spec-aligned to v2.6 (Sep 2024). Pure Python, mypy-strict, with pandas / parquet / SQL extras.
Generate and validate EUPHEMIA-compatible day-ahead and intraday auction bids for European power markets using Python.
AI-powered System Marginal Price forecasting for Malaysian SMB energy buyers. Built with Microsoft Fabric, Azure ML, FastAPI, Next.js, and Azure OpenAI.
Studying German Energy Market
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