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…
Large Language Model-Empowered Interactive Load Forecasting
Yu Zuo, Dalin Qin, Yi Wang
The growing complexity of power systems has made accurate load forecasting more important than ever. An increasing number of advanced load forecasting methods have been developed.…
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads
Xueyuan Cui, Yi Wang, Bolun Xu
This study proposes a computationally efficient method for optimizing multi-zone thermostatically controlled loads (TCLs) by leveraging dimensionality reduction through an auto-enc…
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand
Kedi Zheng, Hanwei Xu, Zeyang Long +2
The growing penetration of electric vehicles (EVs) significantly changes typical load curves in smart grids. With the development of fast charging technology, the volatility of EV…