14 citations · 16 across the 3 of their papers we have counts for
4 papers
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…
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)…
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…
Towards Quantum Federated Learning
Chao Ren, Rudai Yan, Huihui Zhu +9
Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of leveragin…