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@article{195251,
        author = {Mr. T Chakrapani and Maile Chandrakala and Shaik Shahin and Madugundu Gnaneswari and Telugu Usha Rani and Sandula Ribka},
        title = {Edge - Enabled Solar Grid with Autonomous Fault Detection and Adaptive Isolation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7377-7383},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195251},
        abstract = {This project presents an Edge-Enabled IoT Solar Grid system designed for autonomous fault detection and adaptive isolation. The system addresses the critical need for reliable and efficient solar energy management by integrating Internet of Things (IoT) technology with edge computing. It utilizes an ESP32 controller to continuously monitor key electrical parameters such as voltage, current, and temperature of solar panels and grid components via sensors. Unlike traditional cloud-dependent systems, this solution processes sensor data locally at the edge, enabling real-time fault detection. When an anomaly such as overvoltage, overcurrent, or overheating is detected, the system autonomously activates a relay to isolate the faulty section while maintaining power supply to the healthy parts of the grid. This adaptive isolation mechanism prevents system-wide failures and reduces downtime. All operational data is also transmitted to the ThingSpeak cloud platform for remote monitoring, data visualization, and long-term analysis. This technology provides an affordable, portable, and highly reliable solution for modern smart grids and decentralized solar energy infrastructures.},
        keywords = {ESP32 controller, Edge Computing, Solar Grid Monitoring, Fault Detection, Adaptive Isolation, IoT, Relay.},
        month = {March},
        }