Abstract: Power grid operators face increasing challenges in detecting operational anomalies due to growing system complexity and renewable energy integration. This study applies a multi scale Matrix Profile framework for pattern discovery and anomaly detection in power grid systems, analyzing demand behavior at daily (24 hour), weekly (168 hour), and monthly (720 hour) temporal resolutions.
May Stow (2025);
Revealing Minimum Demand Period Vulnerabilities through Multi Scale Pattern Analysis of Power Grid Data;
International Journal of Scientific and Research Publications (IJSRP)
15(8) (ISSN: 2250-3153),
DOI: http://dx.doi.org/10.29322/IJSRP.15.08.2025.p16423
