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[HTML][HTML] Multi-view graph contrastive representative learning for intrusion detection in EV charging station
Y Li, G Chen, Z Dong - Applied Energy, 2025 - Elsevier
With the rapid proliferation of electric vehicles (EVs), the need to enhance EV charging
infrastructure with integrated communication and software functionalities has become …
infrastructure with integrated communication and software functionalities has become …
An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction
S Wang, Y Li, C Shao, P Wang, A Wang, C Zhuge - Applied Energy, 2025 - Elsevier
Predicting Electric vehicle (EV) charging demand can facilitate the efficient operation and
management of the smart power grid and intelligent transportation systems. We propose an …
management of the smart power grid and intelligent transportation systems. We propose an …
Towards Efficient Coordination of Power Distribution Network and Electric Vehicles: Deep Reinforcement Learning with Robust Reward Function
The rapid increase in electric vehicle (EV) usage has led to an urgent need for coordinating
EV charging activities with power distribution networks (PDNs) to accommodate the resulting …
EV charging activities with power distribution networks (PDNs) to accommodate the resulting …