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