3 papers
cs.LG2024
EF-LLM: A Continual Learning-Based Framework for AI-Assisted Automation, Enhanced Sparse Prediction, and Hallucination Detection
Zihang Qiu, Chaojie Li, Jayashri Ravishankar +8
Accurate prediction helps achieve supply-demand balance in energy systems,thereby supporting operational decision-making and scheduling.Traditional models,which lack AI-assisted au…
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…
cs.CR2024
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…