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 in a house from analysis of the power signal of the whole-house power meter. As the popularity of NILM grows, we find there is no consistent way researchers are measuring and reporting accuracies. In this short communication, we present a unified approach that would allow for consistent accuracy testing.
Keywords: load disaggregation, accuracy, energy conservation, smart grid
You can download a PDF of the accepted version of the paper here.
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Published by Stephen Makonin
Dr. Stephen Makonin is an Adjunct Professor in Engineering Science at Simon Fraser University (SFU) and philanthropist. He received his PhD in Computing Science at Simon Fraser University in 2014 in the area of computational sustainability and has been a software engineer for over 24 years working for various local/international industry clients. Stephen is a registered Professional Engineering (PEng) with Engineers and Geoscientists BC and a Senior Member of the IEEE. His research interests include computational sustainability and the understanding of socioeconomic issues that pertain to technological advancement. Stephen is an expert in machine learning, data engineering, data engineering, and a world-renowned researcher in non-intrusive load monitoring (NILM) and disaggregation. Currently, Stephen is a Vice-Chair of the IEEE Signal Processing Society Vancouver Chapter and serves as an Editorial Board Member of Nature's Scientific Data journal.
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