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
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 Montel EQ's Time Series API.
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.
This R package provides functions to crawl the german operating reserve market platform (balancing power market) at https://www.regelleistung.net/
Python client to interact with EnAppSys' API services.
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.
A repository for the Data Science LAB course project.
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.
Analyze and forecast natural gas prices using time series data, with seasonality decomposition and signal detection for trading strategy insights.
Dashboard de ponta a ponta para análise do mercado de energia brasileiro. Combina modelos de previsão (SARIMA, Prophet), árvore de decisão e uma IA (Gemini) para transformar dados históricos em insights estratégicos e acionáveis.
Quantitative analysis of French Renewable Assets (Wind/Solar) & Hedging Strategies (Merchant vs PPA).
Machine learning platform for German energy market forecasting, analytics, and anomaly detection, featuring load & price prediction, interactive dashboards, and REST APIs.
Generate and validate EUPHEMIA-compatible day-ahead and intraday auction bids for European power markets using Python.
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