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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40311
Volume:
8 |
12 |
Dec 2024
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 paper explores the development of an intelli- gent energy management system, which leverages machine learn- ing and computer vision to detect occupancy and optimize energy usage in real time. The literature review examines methods for human presence detection and energy control, focusing on accuracy, scalability, and real-world application. The findings provide a basis for future implementation of smart energy systems in modern buildings.
KEYWORDS
Publication Date
12/31/2024
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.
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No funding information available for this research.
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