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A benchmarking model for household water consumption based on adaptive logic networks

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journal contribution
posted on 07.04.2016, 12:15 by Xiaomin Chen, Shuang-Hua Yang, Lili Yang, Xi Chen
© 2015 The Authors. Published by Elsevier Ltd. Household water benchmarking is an important step in evaluating a household's water usage and comparing it with similar households. It can provide an indicator if a household consumes more water than usual during a certain period of time or some households consume more than other similar households in a particular region. This paper proposes a benchmarking model for household water consumption based on Adaptive Logic Networks (ALNs). Real world data collected by a water consumption monitoring system installed in Sosnowiec, Poland and Skiathos, Greece is respectively used to build a model for each city. The results indicate that the developed models can successfully prediction for a particular use purpose.

Funding

This work is part of the ISS-EWATUS project (issewatus.eu) and has been funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no (619228).

History

School

  • Business and Economics

Department

  • Business

Published in

Procedia Engineering

Volume

119

Issue

1

Pages

1391 - 1398

Citation

CHEN, X. ...et al., 2015. A benchmarking model for household water consumption based on adaptive logic networks. Procedia Engineering, 119(1), pp. 1391-1398.

Publisher

© The Authors. Published by Elsevier

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/. It was presented at the 13th Computer Control for Water Industry Conference, (CCWI 201).

eISSN

1877-7058

Language

en

Exports