• DocumentCode
    133874
  • Title

    Forecasting of Turkey´s electricity consumption using Artificial Neural Network

  • Author

    Yetis, Yunus ; Jamshidi, Mo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2014
  • fDate
    3-7 Aug. 2014
  • Firstpage
    723
  • Lastpage
    728
  • Abstract
    In this paper, forecast of Turkey´s electricity consumption on energy sector basis until 2023 is investigated. Artificial Neural Networks (ANN) is preferred as a forecasting tool. The reasons behind choosing ANN are the ability of ANN to forecasting value of more than one variable and to model the nonlinear relation in the data structure. Founded forecast results by ANN are compared with official data.
  • Keywords
    data structures; electricity supply industry; neural nets; power consumption; power engineering computing; ANN; Turkey´s electricity consumption forecasting tool; artificial neural networks; data structure; nonlinear relation; Artificial intelligence; Artificial neural networks; Economic indicators; ANN; Prediction; Turkey´s electricity consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2014
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/WAC.2014.6936121
  • Filename
    6936121
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=133874