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    Forecasting Residential Water Demand: Case Study

    Source: Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 004
    Author:
    Shirley Gato
    ,
    Niranjali Jayasuriya
    ,
    Peter Roberts
    DOI: 10.1061/(ASCE)0733-9496(2007)133:4(309)
    Publisher: American Society of Civil Engineers
    Abstract: A new daily time series model for East Doncaster, Melbourne, Australia, is being evaluated. The model depends on the postulate that total water use is made up of base use and seasonal use, where base use is characterized by the water use during winter months and seasonal use on seasonal, climatic, and persistence components. Using the daily data collected by Yarra Valley Water for East Doncaster water supply distribution zone and the corresponding rainfall and temperature data from the Bureau of Meteorology from 1990 to 2000, the base values were calculated based on the lowest months of water usage in a year and were correlated with the day of the week and temperature and rainfall. Results revealed these three factors to be statistically significant and therefore, base use to be climate dependent. The seasonal water use is modeled by a series of three equations. The separation of the random component from the climatic variable resulted to a better
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      Forecasting Residential Water Demand: Case Study

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    http://yetl.yabesh.ir/yetl1/handle/yetl/40085
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    contributor authorShirley Gato
    contributor authorNiranjali Jayasuriya
    contributor authorPeter Roberts
    date accessioned2017-05-08T21:08:15Z
    date available2017-05-08T21:08:15Z
    date copyrightJuly 2007
    date issued2007
    identifier other%28asce%290733-9496%282007%29133%3A4%28309%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/40085
    description abstractA new daily time series model for East Doncaster, Melbourne, Australia, is being evaluated. The model depends on the postulate that total water use is made up of base use and seasonal use, where base use is characterized by the water use during winter months and seasonal use on seasonal, climatic, and persistence components. Using the daily data collected by Yarra Valley Water for East Doncaster water supply distribution zone and the corresponding rainfall and temperature data from the Bureau of Meteorology from 1990 to 2000, the base values were calculated based on the lowest months of water usage in a year and were correlated with the day of the week and temperature and rainfall. Results revealed these three factors to be statistically significant and therefore, base use to be climate dependent. The seasonal water use is modeled by a series of three equations. The separation of the random component from the climatic variable resulted to a better
    publisherAmerican Society of Civil Engineers
    titleForecasting Residential Water Demand: Case Study
    typeJournal Paper
    journal volume133
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(2007)133:4(309)
    treeJournal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 004
    contenttypeFulltext
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