Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://pubsonline.informs.org/doi/10.1287/msom.2022.0154 and https://arxiv.org/pdf/2005.06042v4.pdf. This project was funded by the Institut VEDECOM.

robust-optimization energy-storage vehicle-to-grid energy-economics frequency-regulation continuous-time-linear-programming

• Updated May 1, 2024

Code and data for the article "Frequency Regulation with Storage: On Losses and Profits" by Dirk Lauinger, François Vuille, and Daniel Kuhn, available at https://doi.org/10.1016/j.ejor.2024年03月02日2 and https://arxiv.org/pdf/2306.02987v2.pdf. This project was funded by the Institut VEDECOM.

robust-optimization energy-storage energy-economics frequency-regulation continuous-time-linear-programming semi-infinite-programming

• Updated Mar 27, 2024
• Jupyter Notebook

Rainflow‐aware DQN for battery dispatch (arbitrage + FR/reserves): Gymnasium env with safety layer, exact cycle‐based degradation, time features & stacked observations; SB3 training.

reinforcement-learning time-series trading deep-q-network gymnasium intraday-trading rainflow frequency-regulation battery-degradation stable-baselines3 energy-arbitrage powertrade battery-energy-storage-systems

• Updated Sep 30, 2025
• Python

🔋 Optimize battery dispatch using a rainflow-aware DQN that tracks degradation and enhances performance with advanced features for reliable results.

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• Updated Feb 22, 2026
• Python