DocumentCode
581401
Title
Smart meter systems detection & classification using artificial neural networks
Author
Bier, Thomas ; Abdeslam, Djaffar Quid ; Merckle, Jean ; Benyoucef, Dirk
Author_Institution
Univ. Furtwangen, Furtwangen, Germany
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
3324
Lastpage
3329
Abstract
The goal of that paper is to show a possibility for the disaggregation of electrical appliances in the power profile of residential buildings. The advantage is that the measurement system is at a central point in the household. So the installation effort decrease. For the disaggregation of the appliances out of the load curve, an approach for the development of a system based on pattern recognition is presented. One method for the classification of appliances is to use Artificial Neural Network. This idea is the main part of that paper. It is shown a method, to classify one kind of appliances. At the end, the first results and a comparison with the famous approach, for the disaggregation of electrical appliances, from Hart is presented.
Keywords
building management systems; domestic appliances; electrical products; intelligent sensors; neural nets; pattern recognition; power engineering computing; smart meters; artificial neural network; electrical appliance; load curve; pattern recognition; residential building; smart classification system; smart detection system; smart meter system; Artificial neural networks; Manuals; Monitoring; Refrigerators; Switches; Weight measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6389365
Filename
6389365
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