A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks

Xiaomin Chen; Shuang-Hua Yang; Lili Yang; Xi Chen

doi:10.1016/j.proeng.2015.08.998

A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks

Xiaomin Chen, Shuang-Hua Yang, Lili Yang, Xi Chen

Computer and Information Sciences Department

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

20 Downloads (Pure)

Abstract

Household water benchmarking is an important step in evaluating a household's water usage and comparing it with similar house- holds. 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.

Original language	English
Pages (from-to)	1391-1398
Number of pages	8
Journal	Procedia Engineering
Volume	119
Early online date	1 Sept 2015
DOIs	https://doi.org/10.1016/j.proeng.2015.08.998
Publication status	Published - 2015
Event	13th Computer Control for Water Industry Conference, CCWI 2015 - Leicester Duration: 1 Sept 2015 → …

Keywords

Household water consumption
Benchmarking
Socio-demographical factors
Adaptive Logic Networks

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10.1016/j.proeng.2015.08.998Licence: CC BY-NC-ND

Chen et al - A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks OAFinal published version, 550 KBLicence: CC BY-NC-ND

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title = "A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks",

abstract = "Household water benchmarking is an important step in evaluating a household's water usage and comparing it with similar house- holds. 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.",

keywords = "Household water consumption, Benchmarking, Socio-demographical factors, Adaptive Logic Networks",

author = "Xiaomin Chen and Shuang-Hua Yang and Lili Yang and Xi Chen",

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doi = "10.1016/j.proeng.2015.08.998",

language = "English",

volume = "119",

pages = "1391--1398",

journal = "Procedia Engineering",

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TY - JOUR

T1 - A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks

AU - Chen, Xiaomin

AU - Yang, Shuang-Hua

AU - Yang, Lili

AU - Chen, Xi

PY - 2015

Y1 - 2015

N2 - Household water benchmarking is an important step in evaluating a household's water usage and comparing it with similar house- holds. 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.

AB - Household water benchmarking is an important step in evaluating a household's water usage and comparing it with similar house- holds. 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.

KW - Household water consumption

KW - Benchmarking

KW - Socio-demographical factors

KW - Adaptive Logic Networks

U2 - 10.1016/j.proeng.2015.08.998

DO - 10.1016/j.proeng.2015.08.998

M3 - Article

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SP - 1391

EP - 1398

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 13th Computer Control for Water Industry Conference, CCWI 2015

Y2 - 1 September 2015

ER -

A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks

Abstract

Keywords

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