Improved Weighted <i>k</i>-Nearest Neighbor Based on PSO for Wind Power System State Recognition

Improved Weighted <i>k</i>-Nearest Neighbor Based on PSO for Wind Power System State Recognition

In<b> </b>this paper, we propose using particle swarm optimization (PSO) which can improve weighted <i>k</i>-nearest neighbors (PWKNN) to diagnose the failure of a wind power system. PWKNN adjusts weight to correctly reflect the importance of features and uses the distance ju...

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Bibliographic Details
Main Authors: Chun-Yao Lee, Kuan-Yu Huang, Yi-Xing Shen, Yao-Chen Lee
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
particle swarm optimization (PSO)
k-nearest neighbors (k-NN)
classification
feature selection
Online Access:https://www.mdpi.com/1996-1073/13/20/5520

Internet

https://www.mdpi.com/1996-1073/13/20/5520

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