Microgrid Energy Management with Reinforcement Learning
Abstract
A reinforcement learning framework for optimal energy management in residential microgrids with battery energy storage systems. Implements SAC, PPO, and Robust SAC agents benchmarked against a Linear Programming optimal solution, with comprehensive robustness analysis under forecast uncertainty.
Fields of Study & Subjects
Microgrid Control and Optimization
Smart Grid Energy Management
Optimal Power Flow Distribution
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN