MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541117834 A) filed by Dr. R. Madhana; K. Pradeepa; K. Pradeepa; R. Roshini; and S. A. Engineering College, Chennai, Tamil Nadu, on Nov. 27, 2025, for 'artificial intelligence based predictive fault detection and autonomous self-healing system for smart grids.'
Inventor(s) include Dr. R. Madhana; K. Pradeepa; K. Pradeepa; and R. Roshini.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "Modem smart grids face growing challenges related to increasing energy demands, distributed generation, and the need for high reliability and rapid response to faults. To address these issues, this work presents an Artificial Intelligence-based predictive fault detection and autonomous self-healing system for smart grids. The proposed framework employs advanced machine learning techniques to analyze real-time sensor data, historical fault patterns, grid load behavior, and environmental factors to accurately predict potential failures before they occur. By incorporating deep learning-based anomaly detection and intelligent decision-making algorithms, the system enhances early fault identification and significantly reduces false alarms. I Once a potential or actual fault is detected, the autonomous self-healing mechanism is activated. This includes automated fault isolation, dynamic network reconfiguration, and optimal power rerouting to maintain continuous energy supply with minimal human intervention. The system leverages distributed automation, edge computing, and communication technologies to ensure fast, coordinated responses across the grid. The integration of predictive analytics and autonomous control improves operational reliability, reduces outage durations, minimizes maintenance costs, and supports the development of resilient and sustainable smart energy infrastructures."
Disclaimer: Curated by HT Syndication.
