Anomaly detection in multivariate streaming PMU data using density estimation technique in wide area monitoring system

作者：

Highlights：

• The model has been validated.

• The uncertainty in model parameters has been determined.

• The parameters for best performance has been tuned.

• The accuracy of classification is affected because of the random initialization.

摘要

•The model has been validated.•The uncertainty in model parameters has been determined.•The parameters for best performance has been tuned.•The accuracy of classification is affected because of the random initialization.

论文关键词：Streaming data,Anomaly detection,Density Estimation,Principal Component Analysis,Gaussian Mixture Model,K-Means clustering

论文评审过程：Received 2 July 2020, Revised 28 January 2021, Accepted 4 March 2021, Available online 10 March 2021, Version of Record 22 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114865