• DocumentCode
    2919682
  • Title

    Short term load forecasting for a micro region using NNs and regression models

  • Author

    Kaysal, Kubra ; Hocaoglu, Fatih Onur ; Oguz, Yasin ; Kaysal, Ahmet

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Afyon Kocatepe Univ., Afyonkarahisar, Turkey
  • fYear
    2013
  • fDate
    28-30 Nov. 2013
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    Thanks to today´s advancing technology, some techniques have been developed to make future oriented forecast on energy generation, transmission and distribution subjects. In literature, load forecasting studies are generally realized for macro size settlement units. However, determination of parameters that effect load forecasting in macro size settlement units is very difficult. In this study, by considering a micro size settlement unit (Güney district of Denizli province), factors that may affect the load demand were examined. Then, by selecting popular methods used in the literature, load forecasting for the region was realized. Finally the results obtained from the models were compared.
  • Keywords
    load forecasting; regression analysis; Denizli province; Güney district; NN; distribution subjects; energy generation; micro region; regression models; short term load forecasting; transmission subjects; Artificial neural networks; Forecasting; Load forecasting; Load modeling; Reliability; Sociology; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-605-01-0504-9
  • Type

    conf

  • DOI
    10.1109/ELECO.2013.6713827
  • Filename
    6713827