MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063456 A) filed by Penubarthi Sobha Rani, Mylavaram, Andhra Pradesh, on May 19, for 'a system and method for optimizing power distribution using machine learning and predictive modeling.'
Inventor(s) include Penubarthi Sobha Rani.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A system and method for optimizing power distribution using machine learning and predictive modeling are disclosed. The system includes a data acquisition module configured to collect real-time and historical operational data from power distribution network components including smart meters, transformers, substations, and distribution lines. A preprocessing module filters, normalizes, and aggregates the collected data for analytical processing. A machine learning engine analyzes the processed data to identify consumption patterns, forecast power demand, detect distribution inefficiencies, and predict network anomalies. A predictive modeling module generates predictive distribution models using learned network performance parameters. An optimization module determines optimized power distribution parameters including load balancing schedules, voltage regulation settings, feeder routing configurations, and outage mitigation strategies. A control interface transmits control instructions to grid control devices, while a monitoring and feedback module continuously updates the machine learning engine using network performance feedback to improve optimization accuracy and operational reliability."
Disclaimer: Curated by HT Syndication.
