• DocumentCode
    2101179
  • Title

    Comparison of Methods Used for Forecasting Solar Radiation

  • Author

    Sudirman, Rubita ; Ashenayi, Kaveh ; Golbaba, Mostafa

  • Author_Institution
    Electr. Eng. Dept., Univ. of Tulsa, Tulsa, OK, USA
  • fYear
    2012
  • fDate
    19-20 April 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper will present and evaluate a neural network-based approach to predicting solar radiation for a given site. This data is necessary to create valid decisions as to when to use other resources to generate energy in the micro-grid structure proposed for Smart Grid.
  • Keywords
    neural nets; power system management; smart power grids; solar radiation; neural network; smart grid; solar radiation; Accuracy; Biological neural networks; Forecasting; Mathematical model; Renewable energy resources; Solar radiation; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Technologies Conference, 2012 IEEE
  • Conference_Location
    Tulsa, OK
  • ISSN
    2166-546X
  • Print_ISBN
    978-1-4673-0968-4
  • Electronic_ISBN
    2166-546X
  • Type

    conf

  • DOI
    10.1109/GREEN.2012.6200996
  • Filename
    6200996
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2101179