Abstract: A multi-source fusion framework is developed for power load forecasting, integrating meteorological, pricing, and historical data. Temperature-humidity-load coupling effects are quantified ...

Abstract: This paper presents a method for load balancing and dynamic pricing in electric vehicle (EV) charging networks, utilizing reinforcement learning (RL) to enhance network performance. The ...