MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082569 A) filed by Kpr Institute Of Engineering And Technology on July 04, 2026, for Adaptive Hybrid Deep Learning System For Real-Time Energy Consumption Prediction In Iot-Enabled Smart Homes.
Inventors include Mr. Premkumar D; Mr. Deshvanth S; Mr. Sanjay M; Mr. Gowtham P; Dr. Karthikeyan B; Mr Karthik S; and Mr. Munirathinam T.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: Adaptive hybrid deep learning system for real-time energy consumption prediction in IoT-enabled smart homes Abstract: The present invention relates to the field of Smart Home Energy Management, Internet of Things (IoT), Artificial Intelligence, and Predictive Analytics, and more particularly to a real-time energy consumption prediction system for smart homes using IoT data. Traditional energy monitoring systems mainly focus on recording historical electricity usage and fail to provide accurate predictions of future energy consumption. This limitation makes it difficult for homeowners to manage energy efficiently, leading to higher electricity costs and unnecessary power wastage. In many households, energy consumption patterns are influenced by multiple factors such as appliance usage, environmental conditions, and user behavior, which are not effectively analyzed by conventional monitoring systems.
Disclaimer: Curated by HT Syndication.
