Hierarchical MARL with PV Forecasting and Dynamic Pricing in Smart Grids
The rapid integration of distributed energy resources and the emergence of prosumers—households that both consume and produce electricity—present significant challenges for traditional power grids. This paper proposes a Hierarchical Multi-Agent Reinforcement Learning framework for smart community energy management. The...