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2. A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis. (2025). Dou, Xun ; He, YU.
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18. High and low frequency wind power prediction based on Transformer and BiGRU-Attention. (2024). Yang, Wei ; Wang, Shuangxin ; Yin, Qingyan ; Shi, Jiarong.
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19. Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting. (2024). Wang, Lin ; Wu, Binrong.
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20. A novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection. (2024). Li, Xuefeng ; Lin, Qingcheng ; Xiao, Hui ; Cai, Huiling ; Liu, Hanwei.
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21. Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network. (2024). Zhang, YI ; Cheng, Runkun ; Wang, Hui ; Yang, DI ; Liu, DA.
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22. WindFix: Harnessing the power of self-supervised learning for versatile imputation of offshore wind speed time series. (2024). Cao, Leilei ; Pu, Huayan ; Zhang, Dan ; Zhou, Dai ; Wu, Chuhan ; Cai, Candong ; Chen, Yaoran ; Peng, Yan ; Kuang, Limin.
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23. Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction. (2024). Fan, Yuzhen ; Wang, Junjie ; Hou, Guolian.
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24. A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm. (2024). Wang, Zewei ; Yuan, Yue ; Fu, Xiaoling ; Yang, Ming ; Lin, Hong.
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25. An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting. (2024). Du, Pei ; Li, Mingzhu ; Guo, Ju-e, ; Yang, Dongchuan.
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26. A wind speed forecasting method based on EMD-MGM with switching QR loss function and novel subsequence superposition. (2024). Yu, Zhaoxu ; Xiong, Zhanhang ; Huang, Yongmin ; Liu, Yalei ; Yao, Jianjiang.
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27. Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables. (2024). Jiang, Wenjun ; Lin, Pengfei ; Gao, Huanxiang ; Hu, Gang ; Zhang, Dongqin ; Liu, BO ; Liang, Yang.
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28. Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer. (2023). Xinxin, Wang ; Xiaopan, Shen ; Xueyi, AI ; Shijia, LI.
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29. Multi-Step-Ahead Wind Speed Forecast Method Based on Outlier Correction, Optimized Decomposition, and DLinear Model. (2023). Chen, Suhua ; Zhou, Nanrun ; Liu, Jialin ; Gong, Chen.
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31. Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process. (2023). Huang, Yutong ; Guo, Yunfeng ; Yang, Mao.
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