2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CR2026★ 2 cited
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
Yi Li, Renyou Xie, Chaojie Li +2
Mitigating cybersecurity risk in electric vehicle (EV) charging demand forecasting plays a crucial role in the safe operation of collective EV chargings, the stability of the power…
cs.LG2024
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection
Zihang Qiu, Chaojie Li, Zhongyang Wang +5
Accurate prediction helps to achieve supply-demand balance in energy systems, supporting decision-making and scheduling. Traditional models, lacking AI-assisted automation, rely on…
eess.SY2024
Large Language Model-aided Edge Learning in Distribution System State Estimation
Renyou Xie, Xin Yin, Chaojie Li +4
Distribution system state estimation (DSSE) plays a crucial role in the real-time monitoring, control, and operation of distribution networks. Besides intensive computational requi…