• DocumentCode
    149859
  • Title

    Domestic building density estimates for network planning

  • Author

    Booysen, J. ; Dekenah, Marcus ; Sethlogo, L.

  • fYear
    2014
  • fDate
    1-2 April 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Domestic building density estimates per living standards measure (LSM) in South Africa was needed to produce energy density estimates for network planning by means of the Eskom Geo Load Forecasting system (GLF). Building density estimates for domestic buildings was calculated by linking complex spatial data, using spatial filtering and algorithms to find domestic building density estimates per LSM group in South Africa that is based on reality. Building density estimates can then be combined with domestic load research data (DLR) to calculate domestic energy density. The focus of this paper was on the specific task of calculating domestic building density per LSM in South Africa as no published measures currently exist at a National level.
  • Keywords
    load forecasting; spatial filters; DLR; Eskom Geo load forecasting system; GLF; LSM; South Africa; complex spatial data; domestic building density estimates; domestic energy density estimates; domestic load research data; living standards measure; network planning; spatial filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Domestic Use of Energy (DUE), 2014 Proceedings of the Twenty-Second
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-0-9922041-4-3
  • Type

    conf

  • DOI
    10.1109/DUE.2014.6827765
  • Filename
    6827765