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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Veröffentlicht in:	Wireless communications and mobile computing Jg. 2022; H. 1
Hauptverfasser:	Li, Qingpeng, Chen, Lei, Wang, Yuhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Schlagworte:	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-Zugang:	Volltext
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