DocumentCode :
624405
Title :
The cognitive power meter: Looking beyond the smart meter
Author :
Makonin, Stephen ; Popowich, Fred ; Gill, Brijesh
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
1
Lastpage :
5
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 meters; smart meters; cognitive power meter; digital power meter; energy displays; energy usage; load disaggregation; smart meter; Accuracy; Clustering algorithms; Hidden Markov models; Home appliances; Monitoring; Power measurement; Training; Cognitive Analysis; Demand Response; Energy Conservation; Load Disaggregation; Power Meter; Smart Meter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
ISSN :
0840-7789
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2013.6567686
Filename :
6567686
Link To Document :
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