Abstract
|
|
---|---|
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. | |
International
|
Si |
Congress
|
World Automation Congress 2008 |
|
960 |
Place
|
Waikoloa, HI, EEUU |
Reviewers
|
Si |
ISBN/ISSN
|
978-1-889335-38-4 |
|
|
Start Date
|
28/09/2008 |
End Date
|
02/10/2008 |
From page
|
1 |
To page
|
6 |
|
Proc. of the World Automation Congress, WAC 2008 |