MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641056022 A) filed by Dayananda Sagar Academy Of Technology And Management; and Supraja Irukumati on May 02, 2026, for An Ai Driven Energy Consumption Optimization System For Smart Buildings Using Reinforcement Learning.
Inventor includes Supraja Irukumati.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: This project presents an AI-driven energy consumption optimization system for smart buildings using reinforcement learning. The system is designed based on existing research in intelligent energy management and adaptive control systems. It utilizes real-time data from sensors to monitor occupancy, temperature, lighting, and energy usage patterns within the building. A reinforcement learning model is trained to make optimal decisions that reduce energy consumption while maintaining user comfort. The system continuously improves its performance by learning from environmental feedback and operational outcomes. It integrates seamlessly with existing building management systems and supports predictive analysis for future energy demands. The approach addresses limitations found in conventional automation systems by introducing adaptability and intelligence. The proposed solution is suitable for residential, commercial, and industrial buildings, contributing to energy efficiency and sustainability. This work is inspired by previously implemented smart energy optimization models and advancements in machine learning applications for building automation systems.
Disclaimer: Curated by HT Syndication.
