Convolutional neural networks for intra-hour solar forecasting based on sky image sequences

Accurate and timely solar forecasts play an increasingly critical role in power systems. Compared to longer forecasting timescales, very short-term solar forecasting has lagged behind in both research and practice. In this paper, we propose deep convolutional neural networks (CNNs) to provide operat...

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Veröffentlicht in:	Applied energy 2022-03, Vol.310 (C), p.118438, Article 118438
Hauptverfasser:	Feng, Cong, Zhang, Jie, Zhang, Wenqi, Hodge, Bri-Mathias
Format:	Artikel
Sprache:	eng
Schlagworte:	CNN Computer vision Deep learning Sky image sequence Solar forecasting
Online-Zugang:	Volltext
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