A Graph Convolutional Network for Active Distribution System Anomaly Detection Considering Measurement Spatial-temporal Correlations
Author:
Affiliation:
1. University of Connecticut,Department of Electrical and Computer Engineering,Storrs,CT,USA,06268
2. National Renewable Energy Lab,Golden,CO,USA,80401
3. Eversource Energy,Berlin,CT,USA,06037
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10318157/10318530/10318577.pdf?arnumber=10318577
Reference19 articles.
1. Multi-fidelity Gaussian Process for Distribution System Voltage Probabilistic Estimation with PVs
2. Denoising and Bad Data Detection in Distribution Phasor Measurements using Filtering, Clustering and Koopman Mode Analysis
3. Bad data detection, identification and correction in distribution system state estimation based on PMUs
4. Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks
5. Bad Data Detection Algorithm for PMU Based on Spectral Clustering
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