• DocumentCode
    3049441
  • Title

    ANN-based short-term load forecasting in Bogotá

  • Author

    Mejia, Joaquin E. ; Correal, M.E.

  • Author_Institution
    Univ. of the Andes, Bogota
  • fYear
    2008
  • fDate
    13-15 Aug. 2008
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper proposes four different models for an Artificial Neural Network (ANN) based on short term load forecasting. Historical load data from Bogota from 2000 to 2007 is used for testing, showing the good performance of the different methods.
  • Keywords
    artificial intelligence; load forecasting; neural nets; power engineering computing; Bogota; artificial neural network; short term load forecasting; Artificial neural networks; Biological neural networks; Demand forecasting; Economic forecasting; Load forecasting; Power system management; Power system modeling; Power system planning; Power system security; Predictive models; ANN; Articial network; Short term load forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4244-2217-3
  • Electronic_ISBN
    978-1-4244-2218-0
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2008.4641825
  • Filename
    4641825
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3049441