Resident-presence/absence estimation by unsupervised threshold learning for home energy consumption and its application to resident profiling

We present a new method to estimate resident presence/absence status of a home using only home total power consumption data. The method is unsupervised in that the threshold computation for estimation is conducted without training data of presence/absence. From the estimation records collected for a certain period, we also automatically analyze a lifestyle profile of the residents living in the home.