Prediction model and parameter optimization of room occupancy based on time sequence analysis

Analyses the time sequence of the room occupancy, and puts forward a prediction model and a parameter optimization method based on the time sequence analysis. Taking the time information and the historical probability of room occupancy as the input training model, realizes the room occupancy prediction. Taking the confusion matrix, accuracy and root mean square error (E) as the indicators, proposes a test method of room occupancy prediction model. Selects a one-year data of an office in an office building in Zhuhai as an actual case to verify the prediction model, and the results show that the comprehensive accuracy rate of the prediction is 89.4%, and E is 0.325 9.