Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System
Author:
Affiliation:
1. Washington State University (WSU), Pullman, WA, USA
2. West Virginia University (WVU), Morgantown, WV, USA
Funder
Siemens
U.S. Department of Energy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/9424/10411967/10175547-aam.pdf
Reference37 articles.
1. DPMU-based multiple event detection in a microgrid considering measurement anomalies
2. Abnormal event detection with high resolution micro-PMU data
3. Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks
4. D-PMU Data Generation and Anomaly Detection Using Statistical and Clustering Techniques
5. Anomaly Detection Using Optimally Placed $\mu \text{PMU}$ Sensors in Distribution Grids
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