Yuandong Jiang

Edge-native intelligent scheduling for virtual power plants: A multi-scale perception and constrained reinforcement learning approach

EDGE-VPP is presented, an end-to-end scheduling framework that connects fine-grained load perception with safety-aware decision-making across multiple temporal scales and achieves the lowest operating cost and the fewest constraint violations among the evaluated scheduling methods.