Short-term wind power forecasting model based on temporal convolutional network and Informer
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DOI: 10.1016/j.energy.2023.129171
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References listed on IDEAS
- Cao, Qing & Ewing, Bradley T. & Thompson, Mark A., 2012. "Forecasting wind speed with recurrent neural networks," European Journal of Operational Research, Elsevier, vol. 221(1), pages 148-154.
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- Mo, Yipeng & Wang, Haoxin & Yang, Chengteng & Yao, Zuhua & Li, Bixiong & Fan, Songhai & Mo, Site, 2024. "FDNet: Frequency filter enhanced dual LSTM network for wind power forecasting," Energy, Elsevier, vol. 312(C).
- Chen, Yunxiao & Lin, Chaojing & Zhang, Yilan & Liu, Jinfu & Yu, Daren, 2024. "Proactive failure warning for wind power forecast models based on volatility indicators analysis," Energy, Elsevier, vol. 305(C).
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Keywords
Informer; Wind power forecasting; Feature extraction; Temporal convolution network;All these keywords.
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