Power Monitor Load Disaggregation for the Electric Grid

For decades the electric grid has remained a passive system that has delivered electricity to many
households and businesses. As utility companies look at converting a passive electric grid to a smart
grid, a number of sensors and smart meters must be deployed throughout the grid system to achieve
this objective. Deploying vast amounts of sensors and smart meters becomes a costly and timely affair.
This project looks at adapting nonintrusive load monitoring (NILM) algorithms for the smart grid.
NILM algorithms have been used for monitoring appliances being used within a horne using one
power meter. Using NILM algorithms has the potential to minimize the amount of sensors deployed
over the smart grid (saving cost and time). This project investigates extending, optimizing, and
evaluating NILM algorithms for the smart grid.

Faculty Supervisor:

Fred Popowich

Student:

Partner:

Awesense

Discipline:

Computer science

Sector:

University:

Simon Fraser University

Program:

Accelerate