Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model

Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model

Short-term regional wind power forecasting (WPF) is essential for enhancing the power grid’s robustness. In the field of regional short-term power forecasting, numerical weather forecasts (NWP) and regional wind-power historical data have been commonly used in power forecasting. In this paper, a reg...

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Bibliographic Details
Main Authors: Ming Pei, Lin Ye, Yilin Li, Yadi Luo, Xuri Song, Yijun Yu, Yongning Zhao
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Numerical weather prediction
Wind power forecasting
VMD-GCT
DBSCAN
Spatial–temporal correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722016481

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http://www.sciencedirect.com/science/article/pii/S2352484722016481

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