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From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones
arXiv:2512.06644v2 Announce Type: replace Abstract: Power outages caused by tropical cyclones (TCs) pose serious risks to electric power systems and the communities they serve. Accurate, high-resolution outage forecasting is essential for enabling both proactive mitigation planning and real-time emergency response. This study introduces the SpatioTemporal Outage ForeCAST (STO-CAST) model, a deep learning framework developed for real-time, regional-scale outage prediction during TC events...