SMART METER - Artificial Neural Network for Disaggregation of Electrical Appliances

Dirk Benyoucef, Thomas Bier, Philipp Klein

Abstract

Goal of that paper is to show a possibility for the disaggregation of electrical appliances in the load curve 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 classification algorithms 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 relsults and the next steps are presented. The disaggregation of the appliances is part of a research project at the University of Furtwangen.

References

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Paper Citation


in Harvard Style

Benyoucef D., Bier T. and Klein P. (2012). SMART METER - Artificial Neural Network for Disaggregation of Electrical Appliances . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 546-550. DOI: 10.5220/0003754505460550


in Bibtex Style

@conference{icpram12,
author={Dirk Benyoucef and Thomas Bier and Philipp Klein},
title={SMART METER - Artificial Neural Network for Disaggregation of Electrical Appliances},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={546-550},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003754505460550},
isbn={978-989-8425-99-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - SMART METER - Artificial Neural Network for Disaggregation of Electrical Appliances
SN - 978-989-8425-99-7
AU - Benyoucef D.
AU - Bier T.
AU - Klein P.
PY - 2012
SP - 546
EP - 550
DO - 10.5220/0003754505460550