The Cognitive Power Meter: Looking Beyond the Smart Meter

~ Stephen Makonin

Last week I learnt that that my full co-authored (with co-author Fred Popowich and Bob Gill) paper “The Cognitive Power Meter: Looking Beyond the Smart Meter” was accepted at IEEE‘s 2013 Canadian Conference on Electrical and Computer Engineering (CCECE’13).  So I will be travelling to Regina, Saskatchewan in the Canada. Here is the paper abstract:

The smart meter is often heralded as the key component supporting energy displays that can notify home occupants of their energy usage. But, a smart meter is only a digital power meter with enhanced communications capabilities — it is not actually smart. We need to look beyond the smart meter and define what intelligence is needed to actually make a meter smart. One area with promise is load disaggregation. Load disaggregation can be used to determine what loads contributing to the consumption reading at the smart meter. A smart meter incorporating load disaggregation intelligence can be seen as going beyond the traditional smart meter — what we call a cognitive power meter (c-meter). However, using load disaggregation, in its current form, is not feasible. We critically review the requirements for a c-meter and provide insights as to how load disaggregation research needs to change to make the c-meters a reality.

Keywords: Power Meter, Smart Meter, Load Disaggregation, Cognitive Analysis, Demand Response, Energy Conservation

I will post a link to where you can download the paper soon…

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Published by Stephen Makonin

Dr. Stephen Makonin is an Adjunct Professor in Engineering Science and the Principal Investigator of the Computational Sustainability Lab at Simon Fraser University (SFU). He received his PhD in Computing Science at Simon Fraser University in 2014 in the area of computational sustainability. He 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 data engineering, software engineering, and a world-renowned researcher in non-intrusive load monitoring (NILM) and disaggregation. Stephen is currently the Vice-Chair of the IEEE Signal Processing Society Vancouver Chapter and sits on the IEEE DataPort Advisory Committee. He currently serves as the Editor in Chief of the IEEE DataPort Metadata Review Board, and as an Editorial Board Member of Nature's Scientific Data journal.

2 thoughts on “The Cognitive Power Meter: Looking Beyond the Smart Meter”

  1. Pingback: Inspiring Energy Conservation Through Open Source Metering Hardware and Embedded Real-Time Load Disaggregation | Eco-Sustainability and the Smart Home

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