Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{201519,
author = {Dr. Vanitha.K and Abhishek W and Sarath J and Shyam C. S. and Vijila L},
title = {Ai-Based Power Energy Efficient Home Application Controller},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {no},
pages = {165-168},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=201519},
abstract = {The increasing use of electrical appliances in modern homes has resulted in significant energy wastage due to manual operation and lack of intelligent control mechanisms. Traditional home automation systems allow remote control of appliances but do not actively optimize energy consumption based on user behavior and environmental conditions. This project proposes an AI-powered energy efficient home application controller that monitors appliance usage patterns, environmental parameters, and occupancy status to intelligently control home appliances and reduce unnecessary power consumption. The system uses IoT sensors to collect real-time data such as temperature, motion, and appliance power usage. Machine learning algorithms analyze historical and real-time data to predict optimal operating conditions and automatically switch appliances ON or OFF. The controller also provides manual override through a mobile or web application. By integrating AI-based decision making with IoT-based monitoring, the proposed system improves energy efficiency, reduces electricity bills, and supports sustainable smart home management.},
keywords = {},
month = {May},
}
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