Predicting the Window Opening State in an Office to Improve Indoor Air Quality

Window operation is among one of the most influential factors on indoor air quality (IAQ). In this paper, we focus modeling windows’ opening state in a real open-plan office with five windows. The IAQ was monitored over whole year along A k-Nearest Neighbor (k-NN) classification model implemented, based long time series both and outdoor environmental such as temperature relative humidity, CO2 concentration. addition, month, day week were included. obtained for window prediction performs well an accuracy 92% training set 86% testing set.