Machine Learning for Occupancy Detection through Smart Home Sensor Data

Data from mechanical extract ventilation units of Renson Ventilation nv installed in Belgium is utilized to detect space occupancy through machine learning. Challenges with the detection of occupancy using data captured by these smart devices are (1) absence of labelled data for training a machine learning model, and (2) occupant’s CO2 generation rate and building layouts influence the measured CO2 concentrations, which prevents simple rule-based models to be used for data labelling.