DocumentCode :
1686494
Title :
Automatic recognition of major end-uses in disaggregation of home energy display data
Author :
Zeifman, Michael ; Roth, K. ; Stefan, Johannes
Author_Institution :
Fraunhofer Center for Sustainable Energy Syst., Cambridge, MA, USA
fYear :
2013
Firstpage :
104
Lastpage :
105
Abstract :
Disaggregation can make actionable the information provided by home energy displays or smart meters. However, the known disaggregation methods require training to match disaggregated data to actual appliances. We propose a statistical approach for automatic matching between the disaggregated data and major end-uses.
Keywords :
smart meters; automatic recognition; disaggregated data; disaggregation; home energy display data; smart meters; statistical approach; Accuracy; Consumer electronics; Home appliances; Joints; Lighting; Power demand; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6486814
Filename :
6486814
Link To Document :
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