MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106564 A) filed by Dr. Quazi Taif Sadat on September 03, 2026, for Ai-Driven Intelligent Smart Grid Energy Management And Fault Prediction System.
Inventor includes Dr. Quazi Taif Sadat.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: AI-DRIVEN INTELLIGENT SMART GRID ENERGY MANAGEMENT AND FAULT PREDICTION SYSTEM ABSTRACT The present invention relates to an AI-Driven Intelligent Smart Grid Energy Management and Fault Prediction System for improving electrical-grid efficiency, reliability, and resilience. The system integrates smart meters, electrical sensors, renewable-energy sources, energy-storage units, controllable loads, communication modules, artificial-intelligence analytics, energy forecasting, anomaly detection, fault prediction, and adaptive control. Real-time grid parameters are collected, preprocessed, and analyzed to predict energy demand, renewable generation, equipment abnormalities, and potential faults. An intelligent controller uses the prediction results to optimize energy allocation, storage operation, renewable utilization, load management, and preventive actions. A continuous feedback mechanism evaluates operating outcomes and updates subsequent predictions and control decisions. The invention enables predictive rather than purely reactive grid management while supporting efficient resource utilization, early fault warning, improved equipment protection, reduced operational losses, and enhanced smart-grid stability.
Disclaimer: Curated by HT Syndication.
