Learning a context-aware personal model of appliance usage patterns in smart home

To conserve electricity, we have been proposing to control the power consumption of home electrical appliances according to their priority. In a household, appliances are used in performing activities of daily life (ADLs), e.g. cooking, bathing, sleeping, etc. It is assumed that the priority of an appliance changes dynamically according to its usage context of ADLs in a household; it also varies depending on the personal appliance usage habits of each household. In this paper, towards evaluating appliance priority, we learn a personal model of appliance usage patterns, which is aware of the context of ADLs, from appliance power consumption patterns.