Archétypes de profils d'occupation dans le résidentiel : entre emploi du temps et consommation énergétique

The classification of time-use surveys is a methodology for proposing occupancy models representative of the diversity of individuals occupying the housing stock. The classification distance is a tool that strongly influences the classification result. In the literature, the Hamming distance is mainly used. However, this distance is rarely questioned. This work proposes a methodology based on a multi-criteria classification distance. This distance is a weighting between the Hamming distance and an energy distance based on the heating consumption of each individual in the database. This consumption is obtained from a thermal simulation using predictive heating management. Finally, the classification of individuals from the 2010 French time-use survey showed that integrating the energy criterion facilitates the choice of the number of clusters and reduces the dispersion of heating consumption within a 20% cluster.