Title : 
The cognitive power meter: Looking beyond the smart meter
         
        
            Author : 
Makonin, Stephen ; Popowich, Fred ; Gill, Brijesh
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
         
        
            Conference_Location : 
Regina, SK
         
        
        
            Print_ISBN : 
978-1-4799-0031-2
         
        
            Electronic_ISBN : 
0840-7789
         
        
        
            DOI : 
10.1109/CCECE.2013.6567686