MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202621105984 A) filed by Dr. Ravindra Mukund Malkar; Dr. Ame Rayan R; Jeevitha S; Suganya R; Dr. Khushal Devghare; Dr R Kumar; Gerard Deepak; Dayananda Sagar Academy Of Technology And Management; Chanagoni Sai Vijaya; S Mercy Hennah; Sudha E; and Bharathi. P on September 03, 2026, for Machine Learning-Based Smart Home Automation System For Predictive Appliance Control And Real-Time Energy Optimization.
Inventors include Dr. Ravindra Mukund Malkar; Dr. Ame Rayan R; Jeevitha S; Suganya R; Dr. Khushal Devghare; Dr R Kumar; Gerard Deepak; Chanagoni Sai Vijaya; S Mercy Hennah; Sudha E; and Bharathi. P.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention discloses the development of a machine learning-based smart home automation system for predictive appliance control and energy optimization, designed to automatically monitor, predict, and control household appliances. The system gathers real-time data from smart appliances, sensors, smart meters, environmental sensors, and user interfaces. The machine learning engine uses this information to learn about the pattern of energy consumption, appliance use, occupancy status, environment, etc., and based on this information predicts the future demand for energy and appliances. Using the predicted status, an intelligent control module automatically controls scheduling, activation, deactivation, and adjustment of the appliances to minimize unnecessary energy consumption without compromising the comfort of the user. The system further allows real-time energy monitoring, forecasting, anomaly detection, control, and recommendations using the user interface. FIG.1
Disclaimer: Curated by HT Syndication.
