Federated Heterogeneous-Agent Reinforcement Learning for the Flexible Dispatch of Energy Hubs
Energy hubs (EHs) are important district multi-energy systems that integrate various carriers for energy conversion and storage. For the flexible dispatch of EHs, reinforcement learning (RL) has been a promising solution, capable of effectively and efficiently handling inherent uncertainties within EHs. However, the sa...