Activities-specific disaggregation of hourly residential electricity consumption and smart household appliances

We analyze aggregated historical data of habitual residential electricity consumption for a middle size county in the Southeastern United States. Habitual consumption is the consumption which does not depend on weather conditions. It can be represented as a sum of consumptions. Each of the summands is a consumption corresponding to a group of correlated activities carrying through a group of appliances specific for the activities. Groups of the activities related to different summands are independent. In the paper an analysis of aggregated historical data, allowing to reveal this structure of the habitual consumption, is suggested. We conclude that measures that support chronological independence of habitual activities are important for demand-side management. Among this measures is an automation of the activities through an updated smart stock of appliances.