Research on Wind Power Prediction Model Based on Random Forest and SVR

Wang, Zehui and Chi, Dianwei (2024) Research on Wind Power Prediction Model Based on Random Forest and SVR. EAI Endorsed Transactions on Energy Web.

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Abstract

Wind power generation is random and easily affected by external factors. In order to construct an effective prediction model based on wind power generation, a wind power prediction model based on principal component analysis (PCA) noise reduction, feature selection based on random forest model and s

Item Type: Article
Date Deposited: 04 Mar 2026 18:12
Last Modified: 11 Apr 2026 00:23
URI: http://eprints.eai.eu/id/eprint/51598

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