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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47620
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project focuses on developing a smart home automation system that includes smart energy metering using Zigbee technology and Deep Belief Network (DBN). Zigbee provides a low-power, wireless communication method to connect various smart devices in the home. It enables real-time monitoring and control of appliances, lights, and meters through a central controller or smartphone. A smart energy meter is integrated to record electricity usage and help reduce power consumption by providing timely feedback to users. To improve automation and decision-making, a Deep Belief Network is used. This machine learning model learns user behavior patterns and predicts energy usage, allowing the system to automatically manage devices for better energy efficiency and comfort. For example, it can turn off lights when a room is unoccupied or adjust appliance use during peak hours. Overall, this system offers an energy-saving, user-friendly, and intelligent solution for modern smart homes by combining wireless communication and artificial intelligence.
KEYWORDS
Publication Date
12/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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