NILM performance evaluation code released

Today I have publicly released the functions used to measure the accuracy performance in my journal paper Nonintrusive load monitoring (NILM) performance evaluation: A unified approach for accuracy reporting in Springer’s Energy Efficiency Journal (DOI 10.1007/s12053-014-9306-2). The Python 3 code is available in my GitHub repository.

Nonintrusive Load Monitoring (NILM) Performance Evaluation: A unified approach for accuracy reporting

Last week I learnt that my journal paper co-authored Fred Popowich was accepted for publishing in Springer’s Energy Efficiency journal. It is currently in press and will hopeful be published within the next few months. Here is the paper abstract: Nonintrusive load monitoring (NILM), sometimes referred to as load disaggregation, is the process of determining what loads or appliances are running…

SFU Fall 2014 Convocation

Today I joined over 400 graduates (Bachelors, Masters, and Doctorate) in the first morning session of the Fall 2014 Convocation at Simon Fraser University (SFU). What an event! Now my studies are officially over. I have my PhD in Computing Science and I am ready for a new phase in life — a new direction. It was…

AMPds 2 Released! (2 years of data and other fixes)

Today I am releasing AMPds 2 (The Almanac of Minutely Power Dataset – 2 Years) a new version of my internationally recognized and very popular dataset. AMPds is a dataset consisting of electricity, water, and natural gas consumption. This dataset is ideal for testing load disaggregation/NILM and eco-feedback algorithms and prototypes. A total of 1,051,200 readings for 2 years of…