DocumentCode :
3247095
Title :
Energy disaggregation via adaptive filtering
Author :
Dong, Roy ; Ratliff, Lillian J. ; Ohlsson, Henrik ; Sastry, S. Shankar
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
fYear :
2013
fDate :
2-4 Oct. 2013
Firstpage :
173
Lastpage :
180
Abstract :
The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem. This gives both a novel disaggregation algorithm and a better theoretical understanding for disaggregation. In particular, we show how the disaggregation problem can be solved online using a filter bank and discuss its optimality.
Keywords :
adaptive filters; building management systems; power consumption; adaptive filtering; disaggregation algorithm; energy disaggregation; filter bank; power consumption signal; Aggregates; Buildings; Data models; Finite impulse response filters; Hidden Markov models; Home appliances; Power demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4799-3409-6
Type :
conf
DOI :
10.1109/Allerton.2013.6736521
Filename :
6736521
Link To Document :
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