A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-22959-0.pdf
Reference34 articles.
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4. Ding M, Zhou H, Xie H, Wu M, Liu KZ, Nakanishi Y, Yokoyama R (2021) A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting. ISA Trans 108:58–68
5. Dragomiretskiy K, Zosso D (2014) Variational mode decomposition. IEEE Trans Signal Process 62:531–544
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