A Multi-Layer Learning Architecture for Optimal Power Sharing Between Electric Vehicles and Microgrids
A multi layer learning architecture is proposed for optimizing the distribution of electric vehicle power among microgrids. The architecture includes three layers: prediction, coordination, and real-time control. Using a prediction layer to forecast demand loads, available renewable energy generation rates, and vehicle...