Exploring energy disaggregation techniques for application on low resolution energy data from non-residential properties

Reducing energy consumption is one of many ways to respond to our urgent global need to reduce carbon dioxide (CO2) emissions. To do so, it is important to identify the most effective energy saving strategies and communicate them to energy consumers. Pulse Energy is a company that works to do just that and is always looking to improve their energy saving recommendations. This internship will explore how these recommendations can be improved using energy disaggregation, which tries to find the energy consumption and operating schedule of equipment in a building using only measurements of the building’s total energy use. We will evaluate the use of some energy disaggregation techniques on various businesses’ energy data, measured every 15 to 60 minutes. Our work will expand the body of research on energy disaggregation and help Pulse Energy connect non-residential energy consumers with the best energy saving recommendations possible.

Faculty Supervisor:

Lutz Lampe

Student:

Partner:

Pulse Energy inc

Discipline:

Engineering

Sector:

Information and cultural industries

University:

The University of British Columbia

Program: