MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043223 A) filed by Sr University, Warangal, Telangana, on April 4, for 'a deep learning-based optimization framework for renewable energy integrated smart grids.'
Inventor(s) include Mrs. Boddupalli Vishali; and Dr. Shravan Kumar Yadav.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based optimization framework for renewable energy integrated smart grids. The system comprises renewable energy sources and sensors, load and smart meter units, a data acquisition and preprocessing module, deep learning models, an optimization engine, a real-time control module, and grid and energy storage systems. The framework utilizes advanced deep learning techniques to analyze real-time and historical data for accurate prediction of energy generation and consumption patterns. Based on these predictions, the optimization engine determines optimal strategies for energy distribution, storage utilization, and load balancing. The real-time control module executes these strategies to maintain grid stability and efficiency. Additionally, an anomaly detection and security module enhances system reliability by identifying faults and cyber threats. The invention provides an intelligent, scalable, and adaptive solution for efficient integration and management of renewable energy in smart grids, thereby improving overall system performance and sustainability."
Disclaimer: Curated by HT Syndication.
