• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Classifying Household Water Use Events into Indoor and Outdoor Use: Improving the Benefits of Basic Smart Meter Data Sets

    Author(s)
    Meyer, BE
    Nguyen, K
    Beal, CD
    Jacobs, HE
    Buchberger, SG
    Griffith University Author(s)
    Beal, Cara D.
    Nguyen, Khoi A.
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    This research investigated relationships between the most notable characteristics of end-use events, namely, event duration, volume, and intensity, in order to categorize water use as being indoor or outdoor. Three classification models were developed, calibrated, and compared using more than 200,000 household end-use events that were recorded independently in Australia and South Africa. The three methods were also compared to a practice-based limit classification scheme. The classification model presented in this paper correctly apportions ∼81% of the indoor end-use event volumes and ∼98% of the outdoor end-use event volumes, ...
    View more >
    This research investigated relationships between the most notable characteristics of end-use events, namely, event duration, volume, and intensity, in order to categorize water use as being indoor or outdoor. Three classification models were developed, calibrated, and compared using more than 200,000 household end-use events that were recorded independently in Australia and South Africa. The three methods were also compared to a practice-based limit classification scheme. The classification model presented in this paper correctly apportions ∼81% of the indoor end-use event volumes and ∼98% of the outdoor end-use event volumes, thus reinforcing the value of basic smart water meter data sets as a source of useful information for water demand management.
    View less >
    Journal Title
    Journal of Water Resources Planning and Management
    Volume
    147
    Issue
    12
    DOI
    https://doi.org/10.1061/(ASCE)WR.1943-5452.0001471
    Subject
    Environmental engineering
    Applied economics
    Civil engineering
    Publication URI
    http://hdl.handle.net/10072/408641
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander