• DocumentCode
    3682214
  • Title

    ANN backpropagation power consumption forecasting

  • Author

    Raluca Schiopu;Constantin Barbulescu;Stefan Kilyeni;Antheia Deacu;Alin Vernica

  • Author_Institution
    Power Systems Department, Power Systems Analysis and Optimization Research Center, Politehnica University Timisoara, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper is focusing on artificial neural networks (ANN) based load forecasting. It is applied for hourly load and daily load curves forecasting. The backpropagation algorithm is presented. The basic propagation algorithm is completed with conjugated gradient and parabolic interpolation. A software tool has been developed in Matlab environment. The results are compared with the ones provided by classic forecasting methods.
  • Keywords
    "Artificial neural networks","Standards","Forecasting","Neurons","Load forecasting","Training","Backpropagation"
  • Publisher
    ieee
  • Conference_Titel
    EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE
  • Type

    conf

  • DOI
    10.1109/EUROCON.2015.7313774
  • Filename
    7313774
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3682214