Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy

• Published in: Renewable & sustainable energy reviews Vol. 162; p. 112473
• Main Authors: Tang, Yugui, Yang, Kuo, Zhang, Shujing, Zhang, Zhen
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2022
• Subjects: Attention reconstruction; Fine-tuning; Hybrid deep learning; Parallel extraction; Spatiotemporal features; Transfer learning; Hybrid deep learning; Spatiotemporal features; Attention reconstruction; Transfer learning; Fine-tuning; Parallel extraction

Accurate forecasting of photovoltaic power is essential in the integration, operation, and scheduling of hybrid grid systems. In particular, modeling for newly built photovoltaic sites is restricted by insufficient data and training burden. In this study, a novel hybrid photovoltaic power forecastin...