Articles | Volume 10, issue 2
https://doi.org/10.5194/dwes-10-75-2017
https://doi.org/10.5194/dwes-10-75-2017
Research article
 | 
18 Aug 2017
Research article |  | 18 Aug 2017

Modeling and clustering water demand patterns from real-world smart meter data

Nicolas Cheifetz, Zineb Noumir, Allou Samé, Anne-Claire Sandraz, Cédric Féliers, and Véronique Heim

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Cited articles

Adamowski, J. F.: Peak daily water demand forecast modeling using artificial neural networks, J. Water Res. Pl.-ASCE, 134, 119–128, 2008.
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 1974.
Aksela, K. and Aksela, M.: Demand estimation with automated meter reading in a distribution network, J. Water Res. Pl.-ASCE, 137, 456–467, 2010.
Blokker, E., Vreeburg, J., and Van Dijk, J.: Simulating residential water demand with a stochastic end-use model, J. Water Res. Pl.-ASCE, 136, 19–26, 2009.
Box, G. E. and Cox, D. R.: An analysis of transformations, J. Roy. Stat. Soc. B, 211–252, 1964.
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Short summary
This paper aims at a better understanding of water consumption usage.