This study presents a method for identifying abnormal power consumption state. First, the spectral distribution of eigenvalues of the covariance matrix of the ...
This study presents a method for identifying abnormal power consumption state. First, the spectral distribution of eigenvalues of the covariance matrix of the ...
In view of this fact, this study presents a method for identifying abnormal power consumption state. First, the spectral distribution of eigenvalues of the ...
Jul 21, 2019 · In this paper, based on random matrix theory (RMT), a data-driven approach is proposed for anomaly detection in power systems.
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Automation of Electric Power Systems 43 (8), 34-46, 2019. 29, 2019. Anomaly detection based on random matrix theory for industrial power systems. HM Qiuyan ...
Apr 15, 2022 · An anomaly detection algorithm combining eigenvalues and eigenvectors in random matrix is proposed, which can solve the problem that present algorithms based ...
Nov 21, 2024 · Anomaly detection based on random matrix theory for industrial power systems. Article. Mar 2019; J SYST ARCHITECT. Qiuyan Zhang ...
An anomaly detection algorithm combining eigenvalues and eigenvectors in random matrix is proposed, which can solve the problem that present algorithms ...
This paper focuses on digital twin based data-driven approaches for power system anomaly detection to compensate for the limitation of physical methods in ...
It can be seen that these two laws of random matrix theory are good for detecting anomalies in the stable operation of the system. 2.3. Statistical Evaluation ...