Shangyang He
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View article: Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations
Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations Open
Timely warning of battery faults can improve the safety of electric vehicles, aiding the decarbonization of both transportation and power sectors. Although machine learning holds great promise for accurate fault detection, its practical de…
View article: Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management
Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management Open
The utilization of large-scale distributed renewable energy (RE) promotes the development of the multimicrogrid (MMG), which raises the need of developing an effective energy management method to minimize economic costs and keep self energ…
View article: Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach Open
The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since charging behaviors of EVs show large uncertainties, the fo…