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Physics-Informed AI Surrogates for Day-Ahead Wind Power Probabilistic Forecasting with Incomplete Data for Smart Grid in Smart Cities

Zeyu Wu1, Bo Sun1,2, Qiang Feng2,*, Zili Wang1, Junlin Pan1

1 School of Reliability and Systems Engineering, Beihang University, Beijing, China
2 Institute of Reliability Engineering, Beihang University, Beijing, China

* Corresponding Author: Qiang Feng. Email: email

TSP_CMES_27124.pdf

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