Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods

In response to the challenges posed by renewable energy integration, this study introduces a hybrid Attention-TCN-LSTM model for short-term photovoltaic (PV) power forecasting. The LSTM captures the sequence characteristics of PV output, which are then combined with the meteorological sequence featu...

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发表在:	Energies
Main Authors:	Yue Guo, Yu Song, Zilong Lai, Xuyang Wang, Licheng Wang, Hui Qin
格式:	文件
语言:	英语
出版:	MDPI AG 2025-01-01
主题:	PV forecast LSTM temporal convolutional network (TCN)
在线阅读:	https://www.mdpi.com/1996-1073/18/2/308