Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer

ZHU Jianing; WANG Zhao; LI Yitao; YANG Mao; JIANG Renxian

doi:10.12204/j.issn.1000-7229.2026.03.004

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Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer

Key Technologies for High\-Precision Prediction\, Risk Assessment and Operation of Meteorology\-Sensitive Power Systems\·Hosted by YU Guangzheng\，YANG Mao\，LI Gengfeng\，LI Ran\，LI Yuanzheng\，WAN Can\· | 更新时间：2026-09-28

- Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer
- Electric Power Construction Vol. 47, Issue 3, Pages: 39-50(2026)
- 作者机构：
  
  1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），吉林省吉林市 132012
  2.新能源与储能运行控制国家重点实验室（中国电力科学研究院有限公司），北京市 100192
  3.华能吉林发电有限公司新能源分公司，长春市 130022
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation Young Scientists Fund Project(52307151)
- DOI：10.12204/j.issn.1000-7229.2026.03.004
  CLC： TM614
- Received：05 November 2025，
  
  Revised：2025-12-31，
  
  Published：01 March 2026
- 稿件说明：
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朱嘉宁,王钊,李奕陶等.基于时空图谱聚类与时序二维化Transformer的风电集群功率多尺度融合预测方法[J].电力建设,2026,47(03):39-50.

ZHU Jianing,WANG Zhao,LI Yitao,et al.Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer[J].Electric Power Construction,2026,47(03):39-50.
朱嘉宁,王钊,李奕陶等.基于时空图谱聚类与时序二维化Transformer的风电集群功率多尺度融合预测方法[J].电力建设,2026,47(03):39-50. DOI： 10.12204/j.issn.1000-7229.2026.03.004.

ZHU Jianing,WANG Zhao,LI Yitao,et al.Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer[J].Electric Power Construction,2026,47(03):39-50. DOI： 10.12204/j.issn.1000-7229.2026.03.004.

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Multi-scale Fusion Prediction Method for Wind Power Cluster Power Based on Spatio-Temporal Graph Spectral Clustering and Time-Series 2D-Reshaping Transformer

DOI：10.12204/j.issn.1000-7229.2026.03.004