Energy Disaggregation over Large-Scale Appliances

Energy Disaggregation is to find the energy consumption of individual appliances from only a single measure of household electricity consumption. Accurate energy disaggregation helps identify major energy guzzlers in the house and motivates users to take proper actions for energy saving. To pursue aneasy-to-use and scalable solution to energy disaggregation for contemporary large-scale appliances, we have proposed a solution of semi-intrusive appliance load monitoring (SfALM). Nevertheless, it is proved to be NP-hard to solve the optimization problem and achieve high-precision energy disaggregation in SIALM. Thus, it may be not feasible to find the optimal solution in our case where the appliance number is large. Therefore, we are motivated to design efficient algorithms and validate our solution via highperformance computers and servers. After this project, we are expected to provide efficient algorithms to solve the optimization problem in our case and achieve high-precision energy disaggregation over contemporary large-scale appliances.

Faculty Supervisor:

Kui Wu

Student:

Partner:

Huazhong University of Science and Technology

Discipline:

Computer science

Sector:

Education

University:

University of Victoria

Program: