An Approch to Building Energy Management Using Smart Control And Machine Learning
Keywords:
.Abstract
Energy use in homes has been impacted, particularly by HVAC systems, as a result of conventional control(manual ON/OFF). It has been acknowledged that occupant prediction and detection play a major role inincreasing building energy efficiency. Over the past ten years, a number of strategies have been put out to
References
M. S. Aliero, K. N. Qureshi, M. F. Pasha, and G. Jeon, "Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services," Environmental Technology & Innovation, vol. 22, 2021.
M. S. Aliero et al., "Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques," Energies, vol. 15, no. 23, 2022.
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Published
2025-07-24
How to Cite
Shahidu Ibrahim,Ibrahim A. Bello,Abubakar Bashir. (2025). An Approch to Building Energy Management Using Smart Control And Machine Learning. Journal of Computational Analysis and Applications (JoCAAA), 34(7), 151–173. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3301
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