AIBullisharXiv – CS AI · Mar 36/1011
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FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
Researchers developed FreeGNN, a continual source-free graph neural network framework for renewable energy forecasting that adapts to new sites without requiring source data or target labels. The system uses a teacher-student strategy with memory replay and achieved strong performance across three real-world datasets including GEFCom2012, Solar PV, and Wind SCADA.