Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN

Accurate wind speed forecasting is of great significance for the utilization of Arctic wind energy resources. The traditional single model is difficult to fully depict the nonlinearity of wind speed and its wide range of variations. In this paper, a hybrid model is proposed for multi-step wind speed...

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Veröffentlicht in:	Energy (Oxford) 2024-07, Vol.299, p.131448, Article 131448
Hauptverfasser:	Li, Qingyang, Wang, Guosong, Wu, Xinrong, Gao, Zhigang, Dan, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Arctic region CEEMDAN decomposition energy Long-short term memory neural networks One-dimensional CNN prediction Prediction interval wind power wind speed Wind speed forecasting
Online-Zugang:	Volltext
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