MCPT-CAF-BiGRU: A multi-scale CNN and ProbSparse-Masked Transformer model with cross-attention fusion and BiGRU for hourly wind speed forecasting
文献类型：期刊论文
| 作者 | Fan, Jinsheng2,5; Yu, Guo-An3; Zhao, Mingmeng2; Zong, Hucheng1,4 |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2026-04-25 |
| 卷号 | 307页码:131081 |
| 关键词 | Wind speed forecasting MCNN PSM-Transformer BiGRU Cross-attention fusion |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2025.131081 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Wind speed forecasting is essential for reliable wind power integration but remains challenging due to the inherent non-stationarity, multi-scale variability, and spatial heterogeneity of wind fields. To address these issues, we propose MCPT-CAF-BiGRU, a hybrid deep learning framework that combines Multi-scale Convolutional Neural Networks (MCNN), ProbSparse-Masked Transformer, Bidirectional Gated Recurrent Unit (BiGRU), and a Cross-Attention Fusion (CAF) mechanism. The MCNN captures local disturbances across multiple temporal scales, while the ProbSparse-Transformer efficiently models long-range dependencies, and BiGRU further enhances bidirectional contextual representation. The CAF mechanism adaptively integrates local and global feature streams, improving robustness under turbulent dynamics. Extensive experiments on four real-world wind farm datasets at three heights (10, 30, and 50 m) show that MCPT-CAF-BiGRU consistently outperforms eleven benchmark models in terms of RMSE, MAE, MAPE, and NSC, demonstrating superior accuracy and generalization across diverse wind regimes. Ablation studies confirm the contribution of each architectural component. These findings establish MCPT-CAF-BiGRU as an effective solution for multi-altitude wind speed forecasting, providing methodological innovation and practical support for intelligent wind energy scheduling. |
| URL标识 | 查看原文 |
| WOS关键词 | LIMITED METEOROLOGICAL DATA ; SUPPORT VECTOR MACHINE ; REFERENCE EVAPOTRANSPIRATION ; DECOMPOSITION ; SVM ; ENTROPY ; ENERGY ; LOAD ; ELM ; ANN |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001660799400001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219727]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Fan, Jinsheng; Yu, Guo-An |
| 作者单位 | 1.Yellow River Engn Consulting Co Ltd, Postdoctoral Programme, Zhengzhou 450003, Peoples R China; 2.Zhoukou Normal Univ, Zhoukou 466001, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A Datun Rd, Beijing 100101, Peoples R China; 4.Minist Water Resources, Key Lab Water Management & Water Secur Yellow Rive, Zhengzhou 450003, Peoples R China; 5.Zhoukou Normal Univ, Sch Comp Sci & Technol, 6 Mid Sect Wenchang Ave, Zhoukou, Henan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Jinsheng,Yu, Guo-An,Zhao, Mingmeng,et al. MCPT-CAF-BiGRU: A multi-scale CNN and ProbSparse-Masked Transformer model with cross-attention fusion and BiGRU for hourly wind speed forecasting[J]. EXPERT SYSTEMS WITH APPLICATIONS,2026,307:131081. |
| APA | Fan, Jinsheng,Yu, Guo-An,Zhao, Mingmeng,&Zong, Hucheng.(2026).MCPT-CAF-BiGRU: A multi-scale CNN and ProbSparse-Masked Transformer model with cross-attention fusion and BiGRU for hourly wind speed forecasting.EXPERT SYSTEMS WITH APPLICATIONS,307,131081. |
| MLA | Fan, Jinsheng,et al."MCPT-CAF-BiGRU: A multi-scale CNN and ProbSparse-Masked Transformer model with cross-attention fusion and BiGRU for hourly wind speed forecasting".EXPERT SYSTEMS WITH APPLICATIONS 307(2026):131081. |
入库方式： OAI收割
来源：地理科学与资源研究所
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