A design of data-driven energy-use profiling in residential buildings: poster abstract

Abstract

In this paper, we designed a method for data-driven energy-use profiling using smart-meter data in residential buildings. The process includes a model-based energy disaggregation, appliance rate-of-use statistics, and inter-appliances association mining. Our goal is to provide the energy-use profile which includes what appliances, when did they use, and the relationship between them. These results can be used for further help in the design of building energy management systems for adaptive and transactive energy control.