MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090052 A) filed by N. Prathibha; P. Manasa; Dr. Cholleti Narasimha Chary; Bukya Suresh; Snvasrk Prasad; Bollipo. Hima Bindu; and Pusala Srikanth on July 24, 2026, for Adaptive Federated Edge Intelligence Framework For Real-Time Smart Grid Monitoring, Predictive Fault Diagnosis, And Autonomous Energy Optimization Using Explainable Artificial Intelligence.
Inventors include N. Prathibha; P. Manasa; Dr. Cholleti Narasimha Chary; Bukya Suresh; Snvasrk Prasad; Bollipo. Hima Bindu; and Pusala Srikanth.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: ABSTRACT OF THE INVENTION The invention discloses an Adaptive Federated Edge Intelligence Framework (AFEIF) that leverages federated learning, edge computing, and explainable AI for enhancing smart grid operations. The framework enables real-time monitoring via IoT sensors, predictive maintenance through ML models trained locally at edge nodes, and autonomous optimization of energy resources. By avoiding raw data sharing, it ensures privacy and security in critical infrastructure. Experimental results demonstrate improved fault detection accuracy and energy efficiency. The system is particularly suited for modern grids with renewable integration.
Disclaimer: Curated by HT Syndication.
