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.