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Short-Term Wind Power Prediction Method Considering Wind Turbine Operation Status Clustering Under Low-Temperature Conditions
Power Generation Technology   Vol. 46, Issue 2, Pages: 326-335(2025)
New Energy|Updated：2026-06-29
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    • Short-Term Wind Power Prediction Method Considering Wind Turbine Operation Status Clustering Under Low-Temperature Conditions

    • “2026年6月29日华北电力科学研究院有限责任公司(国网冀北电力科学研究院)的张扬帆团队和中国农业大学信息与电气工程学院的叶林团队在《发电技术》发文，介绍了其在低温风电预测领域的研究进展，团队建立了考虑机组运行状态聚类的风电功率预测方法，将预测精度提升至90%以上，为电力调度控制提供解决方案。”

    • DOI：10.12096/j.2096-4528.pgt.23129    

      CLC：

    • Revised：2024-08-01，

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ZHOU Acheng
LIU Hanchen
LI Jianlin
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CHEN Laijun
XUE Sheng
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Related Institution

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Department of Electrical Engineering, Tsinghua University, Haidian District
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