• DocumentCode
    1503566
  • Title

    Experience with FNN models for medium term power demand predictions

  • Author

    Doveh, E. ; Feigin, P. ; Greig, D. ; Hyams, L.

  • Volume
    14
  • Issue
    2
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    538
  • Lastpage
    546
  • Abstract
    The authors relate experience of predicting medium-term load demand for the Israeli power grid using neural network models. A variety of different regularization procedures are used for training and the results are compared. Furthermore, they make suggestions on combining models and selecting input variables
  • Keywords
    feedforward neural nets; learning (artificial intelligence); load forecasting; power system analysis computing; time series; Israel; computer simulation; input variables selection; medium-term load demand prediction; neural network models; power grid; regularization procedures; training; IEC; Input variables; Load forecasting; Neural networks; Packaging; Power demand; Power grids; Predictive models; Temperature; Turbines;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.761878
  • Filename
    761878
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1503566