Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO$_2$, and other Environmental Factors. (arXiv:2203.04750v1 [cs.LG])

Dynamic models of occupancy patterns have shown to be effective in optimizing
building-systems operations. Previous research has relied on CO$_2$ sensors and
vision-based techniques to determine occupancy patterns. Vision-based
techniques provide highly accurate information; however, they are very
intrusive. Therefore, motion or CO$_2$ sensors are more widely adopted
worldwide. Volatile Organic Compounds (VOCs) are another pollutant originating
from the occupants. However, a limited number of studies have evaluated the
impact of occupants on the VOC level. In this paper, continuous …

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