2 citations · 2 across the 1 of their papers we have counts for
4 papers
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…
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…
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…
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach
Borui Zhang, Chaojie Li, Guo Chen +1
To incentivize flexible resources such as Battery Energy Storage Systems (BESSs) to offer Frequency Control Ancillary Services (FCAS), Australia's National Electricity Market (NEM)…