A Novel Wind Power Outlier Detection Method with Support Vector Machine Optimized by Improved Harris Hawk

The accurate detection of wind power outliers plays a crucial role in wind power forecasting, while the inherited strong randomness and high fluctuations bring great challenges to this issue. This work investigates the way to improve the outlier detection accuracy based on support vector machine (SV...

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Bibliographic Details
Main Authors: Jingtao Huang, Jin Qin, Shuzhong Song
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/24/7998