Adaptive Energy Optimization for PV-Integrated EV Parking Lots in a Reconfigurable Microgrid Based on the Serval Optimization and Multimodal Adaptive Spatio-Temporal Graph Neural Network | Synapse
March 3, 2026
Adaptive Energy Optimization for PV-Integrated EV Parking Lots in a Reconfigurable Microgrid Based on the Serval Optimization and Multimodal Adaptive Spatio-Temporal Graph Neural Network
Key Points
Energy optimization improves efficiency in photovoltaic-integrated electric vehicle parking lots, enhancing their sustainability.
Optimized systems can adapt based on changing conditions, utilizing advanced spatio-temporal algorithms for real-time adjustments.
Analysis of energy flows within reconfigurable microgrids demonstrates integration of renewable resources and electric mobility.
Highlights the need for efficient resource management in urban infrastructure to support growing electric vehicle adoption.