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A Deep Learning Approach to Anomaly Sequence Detection for
  High-Resolution Monitoring of Power Systems
v1v2 (latest)

A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems

IEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2020
9 December 2020
Kursat Rasim Mestav
Xinyi Wang
Lang Tong
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems"

2 / 2 papers shown
Title
Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
Petar Labura
Tomislav Antic
Tomislav Capuder
140
0
0
25 Apr 2025
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly
  Detection in Power Distribution Systems with High Penetration of DERs
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
Mehdi Jabbari Zideh
S. K. Solanki
170
5
0
05 Jun 2024
1