• DocumentCode
    1691482
  • Title

    Statistical distribution of customer load profiles

  • Author

    Seppala, Anssi

  • Author_Institution
    VTT Energy, Finland
  • Volume
    2
  • fYear
    1995
  • Firstpage
    696
  • Abstract
    The electric utilities need data from customer loads for many purposes. Load research has been activity to collect load data, analyse it and further distribute the results for management and engineers in an electric utility. The Finnish load research project has developed customer class hourly load models for one year with average load values and standard deviation. In many cases in distribution planning or pricing applications the confidence intervals must be approximated for distinct customers or small groups of customers. The simple use of normal distribution will not give reliable estimations for confidence intervals of one customer. Therefore more information is needed from distributions of customer load profiles. The Finnish load research project has studied the disaggregated load distributions of different customer categories. In this report the study of distribution functions of customer load profiles is reported and some results explained. Also some background theory is reviewed
  • Keywords
    costing; distribution networks; economics; load (electric); power system planning; statistical analysis; Finnish load research project; average load values; confidence intervals approximation; customer class hourly load models; customer load profiles; disaggregated load distributions; distinct customers; distribution planning; load research; pricing applications; statistical distribution; Data analysis; Data engineering; Distribution functions; Engineering management; Gaussian distribution; Load modeling; Power industry; Pricing; Standards development; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on
  • Print_ISBN
    0-7803-2981-3
  • Type

    conf

  • DOI
    10.1109/EMPD.1995.500813
  • Filename
    500813