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2. Improved multiple penalty mechanism based loss function for more realistic aeroengine RUL advanced prediction. (2025). Liu, Jinfu ; Yu, Daren ; Chen, Yunxiao ; Lin, Chaojing ; Bai, Mingliang ; Long, Zhenhua ; Yao, Peng.
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3. Probabilistic power forecasting for wind farm clusters using Moran-Graph network with posterior feedback attention mechanism. (2025). Huang, Shixun ; Li, DI ; He, Yang ; Meng, Yan ; Qu, Zhijian ; Hou, Xinxing.
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4. Multi-step short-term forecasting of photovoltaic power utilizing TimesNet with enhanced feature extraction and a novel loss function. (2025). Fang, Lei ; He, Bin ; Yu, Sheng.
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5. Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions. (2025). Pan, Ershun ; Feng, LI ; Gebraeel, Nagi ; Wang, Dong ; Xia, Tangbin ; Si, Guojin.
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6. More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function. (2024). Long, Zhenhua ; Zhang, Wei ; Yao, Peng ; Bai, Mingling ; Liu, Jinfu ; Yu, Daren ; Zhou, Zhihao.
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7. Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods. (2024). Luo, Yongqiang ; Zhou, Cheng ; Guo, Weiyong ; Dong, Xianzhou ; Liu, Baobing ; Wu, Xiaoying ; Zhang, Limao ; Tian, Zhiyong.
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8. Novel hybrid data-driven modeling integrating variational modal decomposition and dual-stage self-attention model: Applied to industrial petrochemical process. (2024). Wan, Lei ; Deng, Kai ; Long, Jian ; Hu, Guihua ; Zhang, Feng ; Huang, Cheng.
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9. An adaptive distribution-matched recurrent network for wind power prediction using time-series distribution period division. (2024). Yin, Hao ; Li, Hanhong ; Zhang, Haitao ; Xian, Zikang ; Dai, Zhongfu ; Meng, Anbo ; Tang, Yanshu ; Xiao, Liexi ; Rong, Jiayu ; Liu, Jiawei ; Zhu, Jianbin.
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   RePEc:eee:energy:v:299:y:2024:i:c:s0360544224011563.

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10. Accurate and efficient daily carbon emission forecasting based on improved ARIMA. (2024). Zhang, Yang ; Yan, Chao ; Gong, Wenwen ; Xu, Wenran ; Zhai, Dengshuai ; Zhong, Weiyi ; Qi, Lianyong.
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13. Li, Dan ; Jiang, Fuxin ; Chen, Min ; Qian, Tao Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks. 2022 Energy. 238 -

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1. Wind-Mambaformer: Ultra-Short-Term Wind Turbine Power Forecasting Based on Advanced Transformer and Mamba Models. (2025). Wang, Anqi ; Zhou, Meng ; Zhao, Yiyang ; Dong, Zhe.
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2. A reinforcement learning-based ensemble forecasting framework for renewable energy forecasting. (2025). Huang, Xianfeng ; Zhu, David Z ; Ye, Jian ; Fang, Guohua ; Wu, Zhiyuan.
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3. An optimal multi-scale ensemble transformer for carbon emission allowance price prediction based on time series patching and two-stage stabilization. (2025). Wang, Jujie ; Zhang, Xin ; He, Xuecheng.
   In: Energy.
   RePEc:eee:energy:v:328:y:2025:i:c:s0360544225020997.

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4. Experimental investigation on effect of drag-reduced cavitation on stability of a blub turbine. (2025). Ge, Zhenguo ; Li, Tianshu ; Luo, Xingqi ; Zhu, Guojun ; Wu, Guangkuan ; Zhao, Nannan ; Feng, Jianjun.
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5. Short-term wind speed forecasting based on a novel KANInformer model and improved dual decomposition. (2025). Chen, LU ; Leng, Zhiyuan ; Mei, Ziyi ; Xie, Tao ; Liu, Fanqian ; Yi, Bin.
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6. A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer. (2025). He, Xuecheng ; Shu, Shuqin ; Jiang, Weiyi ; Wang, Jujie.
   In: Energy.
   RePEc:eee:energy:v:320:y:2025:i:c:s0360544225008527.

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7. A review of solar and wind energy forecasting: From single-site to multi-site paradigm. (2025). Verdone, Alessio ; Panella, Massimo ; de Santis, Enrico ; Rizzi, Antonello.
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8. Interpretable wind speed forecasting through two-stage decomposition with comprehensive relative importance analysis. (2025). Zeng, Huanze ; Wu, Binrong ; Lin, Jiacheng ; Fang, Haoyu.
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9. Wind-Speed Multi-Step Forecasting Based on Variational Mode Decomposition, Temporal Convolutional Network, and Transformer Model. (2024). Guo, Xiuting ; Zhang, Shengcai ; Zhu, Changsheng.
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10. Wind power forecasting system with data enhancement and algorithm improvement. (2024). Zhang, Yagang ; Kong, Xue ; Cheng, Xiaodan ; Wang, Jingchao.
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11. Short-term interval prediction strategy of photovoltaic power based on meteorological reconstruction with spatiotemporal correlation and multi-factor interval constraints. (2024). Yang, Mao ; Jiang, Yue ; Zhang, Wei ; Li, YI ; Su, Xin.
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12. A novel hybrid model for multi-step-ahead forecasting of wind speed based on univariate data feature enhancement. (2024). Gui, Renzhou ; Zhu, Wenbo ; Li, Zheng ; Zhao, Xiaomeng ; Wang, Yaqi.
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13. Windformer: A novel 4D high-resolution system for multi-step wind speed vector forecasting based on temporal shifted window multi-head self-attention. (2024). Yang, Pengwei ; Mujeeb, Asad ; Wang, Songpo ; Hu, Zechun ; He, Jinhua.
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14. Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S. (2024). Sun, Xiaoying ; Liu, Haizhong.
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15. Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering. (2024). Guo, Yunfeng ; Huang, Tao ; Yang, Mao ; Fan, Fulin.
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16. GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction. (2024). Xu, Xuefang ; Wang, Shu ; Lin, Shengmao ; Shi, Peiming.
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17. A hybrid methodology using VMD and disentangled features for wind speed forecasting. (2024). Kosana, Vishalteja ; Parri, Srihari ; Teeparthi, Kiran.
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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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30. Knowledge sharing-based multi-block federated learning for few-shot oil layer identification. (2023). Zeng, Xingjie ; Zhang, Weishan ; Cao, Shaohua ; Fan, Lulu ; Zhou, Jiehan ; Chen, Bingyang.
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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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