BiLSTM-PINN-based wind turbine power prediction architecture and anomaly data identification

Renewable Energy 2026

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Authors: Fengque Pei, Bowen Zhang, Suyan Long, Minghai Yuan

DOI: 10.1016/j.renene.2026.125182

Cited by: 6

References: 8

Fields of Study & Subjects

Energy Load and Power Forecasting Machine Fault Diagnosis Techniques Electricity Theft Detection Techniques

References 8