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Smart meter systems detection & classification using artificial neural networks

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4 Author(s)
Thomas Bier ; University Furtwangen, Robert-Gerwig-Platz 1, 78120, Germany ; Djaffar Ould Abdeslam ; Jean Merckle ; Dirk Benyoucef

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.

Published in:

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Date of Conference:

25-28 Oct. 2012