AI RESEARCH
Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
arXiv CS.LG
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ArXi:2604.23500v1 Announce Type: new Accurate short-term electricity load forecasting is a cornerstone of U. S. grid reliability; however, prevailing deep learning models remain opaque, limiting operator trust during extreme weather.