MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064003 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 21, for 'a machine-learning-powered internet of things based sustainable home energy management system for residential premises.'
Inventor(s) include Dr. Jayakumar K; and Ponharish Kumar J.
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: "The present invention relates to a machine-learning-enabled Internet of Things (IoT)-based sustainable home energy management system for residential premises is disclosed, comprising distributed sensing devices for acquiring real-time data on energy consumption, environmental and occupancy conditions, appliance status, renewable energy availability, and grid parameters, and actuators for controlling household loads. A central edge hub preprocesses data and cooperates with a hybrid edge-cloud processing platform executing predictive, optimization, and anomaly detection modules. The predictive module forecasts energy demand using time-series models, while the optimization module minimizes energy cost, peak demand, and grid dependency subject to user-defined comfort constraints by scheduling and controlling appliances. The anomaly detection module identifies abnormal consumption patterns and triggers alerts and corrective actions. The system operates in a closed-loop manner with continuous learning from user interactions and system feedback, and includes a user interface for monitoring, control, and preference input, thereby enabling adaptive, efficient, and sustainable residential energy management."
Disclaimer: Curated by HT Syndication.
