SPATIO-TEMPORAL POWER FORECASTING MODEL FOR OFFSHORE WIND POWER CONSIDERING UNIT CHARACTERISTICS

Zhang Hao; Jia Tianxia; Wang Hao; Wen Renqiang; Zhang Ziliang; Wu Songxiong

doi:10.19912/j.0254-0096.tynxb.2025-0754

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (9) : 788-794. DOI: 10.19912/j.0254-0096.tynxb.2025-0754

SPATIO-TEMPORAL POWER FORECASTING MODEL FOR OFFSHORE WIND POWER CONSIDERING UNIT CHARACTERISTICS

Zhang Hao, Jia Tianxia, Wang Hao, Wen Renqiang, Zhang Ziliang, Wu Songxiong

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Abstract

Focusing on the significant spatio-temporal correlation characteristics of offshore wind power, a spatio-temporal correlation power forecasting model considering the differences in unit output patterns is proposed. Firstly, the density-based clustering algorithm is used to classify the output characteristics of wind turbines, so as to identify the groups of units with different output patterns; secondly, a representative set of units is selected through correlation analysis, providing key inputs for modeling. Finally, a power forecasting model is constructed based on the light gradient boosting machine to achieve efficient and accurate predictions. After verification with actual operation data, the result shows that this model can effectively improve the accuracy of power forecasting and enhance the generalization ability of the forecasting model to a certain extent.

Key words

offshore wind power / wind power forecasting / spatio-temporal correlation / output patterns / clustering / light gradient boosting machine

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Zhang Hao, Jia Tianxia, Wang Hao, Wen Renqiang, Zhang Ziliang, Wu Songxiong. SPATIO-TEMPORAL POWER FORECASTING MODEL FOR OFFSHORE WIND POWER CONSIDERING UNIT CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 788-794 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0754

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