Hierarchical load identification method based on K-means clustering and PSO feature optimization KNN

Hierarchical load identification method based on K-means clustering and PSO feature optimization KNN

In order to solve the problem that a single V-I track feature can not effectively identify similar track features and the extracted features are prone to redundacy or even noise features in non-invasive load identification,a hierarchical non-invasive load identification method based on K-means clust...

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Bibliographic Details
Main Authors: Qi AN, Yufei LIANG, Yaoqiang WANG, Zhanbin WANG, Zheng LI, Guoqing AN
Format: Article
Language:zho
Published: Hebei University of Science and Technology 2022-06-01
Series:Journal of Hebei University of Science and Technology
Subjects:
electrical measuring technology and its instrumentation; non-invasive load identification; v-i trajectory; hog features; k-means clustering analysis; feature selection
Online Access:http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202203004&flag=1&journal_

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http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202203004&flag=1&journal_

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