Utility-focused k-means clustering project using real Advanced Metering Infrastructure (AMI) data to segment smart meters by load behavior, voltage stability, and frequency characteristics. The project demonstrates how unsupervised learning can support outage risk identification, asset health monitoring, and proactive grid operations.