MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126527 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 14, 2025, for 'deep reinforcement learning for energy-efficient smart grids.'
Inventor(s) include Dr. Rameshkumar Gajula; Prof. Y Vijayalata; Mr. Chittireddy Amarendar; Dr. M Naresh Kumar; Dr. Madhunala Srilatha; and Dr. Chilukuri Sulakshana.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Deep Reinforcement Learning for Energy-Efficient Smart Grids is the proposed invention. The proposed invention focuses on understanding the functions of Smart Grids. The present invention discloses a deep reinforcement learning (DRL)-based control framework for achieving energy-efficient, reliable, and adaptive operation of smart grids. The system utilizes multi-agent DRL models that dynamically analyze real-time grid conditions, distributed energy resource (DER) status, and short-term forecasts of demand and renewable generation to make optimal control decisions for energy distribution, storage scheduling, and demand-side management. A hierarchical coordination structure ensures that both global grid objectives and local operational constraints are addressed simultaneously."
Disclaimer: Curated by HT Syndication.
