PWTC-iPAPT: A physics-aware deep learning framework for short-term electric load forecasting with multi-scale feature extraction

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Authors: Jian Ni, Ming Zhang, Zhanyi Wang, Xiaojie Lian
Cited by: 1
References: 20

Fields of Study & Subjects

Energy Load and Power Forecasting Stock Market Forecasting Methods Forecasting Techniques and Applications

Publication details

Journal / source
Electric Power Systems Research
Publisher
Elsevier BV
Volume
264
Pages
113886–113886
Publication date
23 July 2026
Language
EN