Multi-step short-term forecasting of photovoltaic power utilizing TimesNet with enhanced feature extraction and a novel loss function

Journal:
Applied Energy
Published:
DOI:
10.1016/j.apenergy.2025.125645
Affiliations:
1
Authors:
3
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Institutions Authors Share
Shanghai University (SHU), China
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