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Large Language Model-aided Edge Learning in Distribution System State Estimation
Distribution system state estimation (DSSE) plays a crucial role in the real-time monitoring, control, and operation of distribution networks.
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
To address these challenges, a federated graph learning approach involving multiple charging stations is proposed to collaboratively train a more generalized deep learning model for demand forecasting while capturing spatial correlations among various stations and enhancing robustness against potential attacks.
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