MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411013429 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 24, 2024, for 'machine learning algorithm for optimizing power grid operations.'
Inventor(s) include Dr. Madhushi Verma; and Dr. Jagendra Singh.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The disclosure unveils a cutting-edge system for enhancing power grid operations harnessing the prowess of machine learning. Anchoring the system is the data collection module, meticulously recording real-time statistics encompassing power genesis, dissemination, and uptake. The real-time data feeds into the machine learning engine, which distills said data to spawn predictive blueprints geared towards grid optimization. An operational control unit, drawing insights from the machine learning predictions, orchestrates agile modifications within the grid. Parallelly, a historical data storage unit chronicles previous grid operation episodes, providing a repository for retrospective analyses. Completing the system's feedback loop, a mechanism juxtaposes the machine learning forecasts against tangible grid results, ensuring continuous refinement of ensuing predictive algorithms, thereby achieving a perpetually evolving, self-improving grid management paradigm."
Disclaimer: Curated by HT Syndication.
