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

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

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...

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Bibliographic Details
Main Authors: Zehui Wang, Dianwei Chi
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2024-04-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
PCA
random forest
SVR
wind power
prediction
Online Access:https://publications.eai.eu/index.php/ew/article/view/5758

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