Advanced Fault Sleuth System Architectures for Prognostic Anomaly Detection and Autonomous Irregularity Mitigation in Intelligent Power Networks

Revenue losses, inconsistent service, delayed problem detection, and electricity theft are just a few of the major issues that power distribution networks deal with. The suggested Fault Sleuth System makes use of Internet of Things (IoT) technologies to facilitate remote system control, automatic anomaly detection, and real-time electrical parameter monitoring. The technology guarantees accurate fault localization and proactive theft prevention by combining sophisticated data analytics and feature extraction techniques. The technology greatly lowers maintenance costs and security threats while improving operating efficiency through thorough data collecting, preprocessing, and intelligent analysis. In addition to improving problem detection and theft mitigation, this strategy also raises customer happiness, power quality, and service reliability. The study's conclusions show how the Fault Sleuth System can revolutionize the way that important power distribution issues are handled. This technology opens the door for a more robust, safe, and effective energy infrastructure that can satisfy needs in the future by leveraging real-time analytics and state-of-the-art IoT technologies.