Detection of Power Data Outliers Using Density Peaks Clustering Algorithm Based on K-Nearest Neighbors

As an important research branch in data mining, outlier detection has been widely used in equipment operation monitoring and system operation control. Power data outlier detection is playing an increasingly vital role in power systems. Density peak clustering (DPC) is a simple and efficient density-...

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Bibliographic Details

Published in:	Wireless communications and mobile computing Vol. 2022; no. 1
Main Authors:	Li, Qingpeng, Chen, Lei, Wang, Yuhan
Format:	Journal Article
Language:	English
Published:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Subjects:	Algorithms Cluster analysis Clustering Consumption Control equipment Data analysis Data mining Datasets Density Outliers (statistics) Parameter sensitivity Teaching methods
ISSN:	1530-8669, 1530-8677
Online Access:	Get full text
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