AINeutralarXiv – CS AI · 6h ago6/10
🧠
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings
Researchers developed an explainable deep reinforcement learning framework for optimizing energy management in buildings with renewable sources, battery storage, and dynamic pricing. Testing on real-world data from KIT's Living Lab Energy Campus showed that on-policy algorithms (A2C, PPO) outperformed off-policy methods while providing transparent insights into decision-making processes.