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Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances. (arXiv:2209.11520v1 [eess.SP])
Sept. 26, 2022, 1:11 a.m. | Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin, Yoonmee Doh, Chungho Lee, Taewook Heo, Dongsoo Har
cs.LG updates on arXiv.org arxiv.org
With the growth of smart building applications, occupancy information in
residential buildings is becoming more and more significant. In the context of
the smart buildings' paradigm, this kind of information is required for a wide
range of purposes, including enhancing energy efficiency and occupant comfort.
In this study, occupancy detection in residential building is implemented using
deep learning based on technical information of electric appliances. To this
end, a novel approach of occupancy detection for smart residential building
system is …
arxiv building deep learning detection management power smart
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