Combining meteorological and power information of station-measurement and model-prediction with the hybrid CNN-Transformer and CNN-BiLSTM for ultra-short-term photovoltaic power forecasting

The photovoltaic (PV) industry is rapidly developing and plays a key role in the renewable energy sector. PV power is affected by meteorological factors, which are cyclical and stochastic. Accurate prediction of PV power depends on meteorological forecasting techniques, which is crucial for safe ope...

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Bibliographic Details

Published in:	International Journal of Electrical Power & Energy Systems
Main Authors:	Yuchen Dai, Yuanbing Wang, Yaodeng Chen, Junwen Wu, Jie Chao
Format:	Article
Language:	English
Published:	Elsevier 2025-10-01
Subjects:	Solar energy meteorology Photovoltaic power prediction Cross-attention mechanism Data fusion
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061525005575