RESEARCH ON NUMERICAL MODEL ERROR-CORRECTION TECHNIQUES FOR OFFSHORE WIND POWER

Zhang Hao; Wen Renqiang; Yang Dinghua; Yi Kan; Du Mengjiao

doi:10.19912/j.0254-0096.tynxb.2023-1339

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (12) : 370-378. DOI: 10.19912/j.0254-0096.tynxb.2023-1339

RESEARCH ON NUMERICAL MODEL ERROR-CORRECTION TECHNIQUES FOR OFFSHORE WIND POWER

Zhang Hao, Wen Renqiang, Yang Dinghua, Yi Kan, Du Mengjiao

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Abstract

In view of the limited accuracy of the existing numerical model prediction data, this paper combined with the actual wind measurement data of several places in the Guangdong sea area, respectively using convolutional long short-term memory network, integrated learning and other machine learning frameworks to establish error correction models, and to verify and analyze the applicability of each model. On this basis, a cost function based on trigonometric function law which is more suitable for wind direction error calculation is proposed. The results show that the AdaBoost and GBDT models can achieve excellent results in the correction of wind speed and wind direction variables.

Key words

offshore wind power / numerical model / error correction / machine learning / boosting model

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Zhang Hao, Wen Renqiang, Yang Dinghua, Yi Kan, Du Mengjiao. RESEARCH ON NUMERICAL MODEL ERROR-CORRECTION TECHNIQUES FOR OFFSHORE WIND POWER[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 370-378 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1339

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