Towards Affordable Energy: Gymnasium Environment for AI-Driven Demand Response

arXiv·low signal

Jose E. Aguilar Escamilla et al. release a Gymnasium-compatible RL environment for electric utility demand-response programs, targeting residential consumers exposed to volatile wholesale electricity markets. The environment enables training agents to optimize energy consumption and reduce catastrophic financial risk during extreme weather events. Notable as a concrete, open-source RL testbed for a high-impact real-world problem.