Descripción
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This work presents classification results of different water outputs in a house. Input variables are time and flow measurements in a point of the network distribution, and the identified classes are relevant consumptions as sink consumption, shower consumption, etc. Due to human influence on consumption data, we selected a classifier based on an interpretable model; that allows the incorporation of knowledge provided by users or experts. Thus, this study is based on the well known Anfis model and AGUA (real data taken for a project being developed in Guadalajara, Mexico) the data set corresponding to a supervised case. The result shows that the proposed algorithm works well, with recognition above 91%, and it could be used for a better profit of domestic water management. | |
Internacional
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Si |
Nombre congreso
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World Automation Congress 2008 |
Tipo de participación
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960 |
Lugar del congreso
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Waikoloa, HI, EEUU |
Revisores
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Si |
ISBN o ISSN
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978-1-889335-38-4 |
DOI
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Fecha inicio congreso
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28/09/2008 |
Fecha fin congreso
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02/10/2008 |
Desde la página
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1 |
Hasta la página
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6 |
Título de las actas
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Proc. of the World Automation Congress, WAC 2008 |