• DocumentCode
    545619
  • Title

    Statistical predictions of electric load profiles in the UK domestic buildings

  • Author

    Ihbal, A.M. ; Rajamani, H.S. ; Abd-Alhameed, R.A. ; Jalboub, M.K.

  • Author_Institution
    Sch. of Eng., Design & Technol. Univ. of Bradford, Bradford, UK
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    This paper presents a method of generating realistic electricity load profile data for the UK domestic buildings. The domestic space features have been investigated excluding the heating and hot water systems. A questionnaire survey was conducted and the feedback were collected from a number of occupants at different intervals of times on daily bases in order to establish the probabilistic record of the estimated use of electrical appliances. The model concept of this study also considers the results of previous investigations such as that available in public reports and statistics as input data elements to predict the global domestic energy consumption. In addition, the daily load profile from individual dwelling to community can be predicted using this method. The result of the present method was compared to available published data and has shown reasonable agreement.
  • Keywords
    domestic appliances; load forecasting; statistical analysis; domestic buildings; domestic space; electric load profiles; electrical appliances; global domestic energy consumption; hot water systems; probabilistic record; Electricity; Energy consumption; Home appliances; Lighting; Load modeling; Space heating; Water heating; Electrical Appliances; Electrical Load Profiles; Energy; Energy Consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy, Power and Control (EPC-IQ), 2010 1st International Conference on
  • Conference_Location
    Basrah
  • Electronic_ISBN
    978-0-9568330-0-6
  • Type

    conf

  • Filename
    5767340