• DocumentCode
    1930914
  • Title

    Electricity consumption forecasting using fuzzy time series

  • Author

    Bolturk, E. ; Oztaysi, B. ; Sari, I.U.

  • Author_Institution
    Ind. Eng., Istanbul Commerce Univ., Istanbul, Turkey
  • fYear
    2012
  • fDate
    20-22 Nov. 2012
  • Firstpage
    245
  • Lastpage
    249
  • Abstract
    Electricity is an important issue in energy management. Because of characteristic of electricity´s non-storability, management of electricity is very valuable process. In this study, a Turkish company´s two years electricity consumption have examined in order to predict possible electricity consumption. We used fuzzy time series with Singh´s Method. Further, with the same data we compared total values of three periods (Unified consumption amount) and total consumption forecasts with their actuals. Finally we decide that which way is more accurate with root-mean-square deviation evaluation.
  • Keywords
    energy management systems; load forecasting; load management; mean square error methods; power consumption; time series; Singh´s method; Turkish company; Unified consumption amount; electricity consumption forecasting; electricity management; energy management; fuzzy time series; root-mean-square deviation; total consumption forecasts; Electricity demand forecasting; deseasonalization; fuzzy time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4673-5205-5
  • Electronic_ISBN
    978-1-4673-5210-9
  • Type

    conf

  • DOI
    10.1109/CINTI.2012.6496768
  • Filename
    6496768