SCALABLRESOURCE SCHEDULING FOR VIRTUAL POWER PLANTS USING MULTI-AGENT DEEP Q-NETWORKS FOR OPTIMIZED DISTRIBUTED ENERGY RESOURCE MANAGEMENT
The increasing integration of Distributed Energy Resources (DERs) within modern power systems requires Virtual Power Plants (VPPs) to adopt intelligent, adaptive, and scalable scheduling mechanisms to ensure efficient, reliable, and economically optimal operation. This research proposes a hybrid reinforcement learning–...