• DocumentCode
    1846289
  • Title

    One day ahead prediction of wind speed based on power and exponential

  • Author

    Gholami, M. ; Gharehpetian, G.B. ; Davari, M.

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    23-24 June 2010
  • Firstpage
    449
  • Lastpage
    452
  • Abstract
    This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed.
  • Keywords
    least mean squares methods; wind power; one day ahead prediction; predicted interval; wind speed; Computational modeling; Data models; Electrical engineering; Predictive models; Wind farms; Wind forecasting; Wind speed; Least-square method; wind speed prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2010 4th International
  • Conference_Location
    Shah Alam
  • Print_ISBN
    978-1-4244-7127-0
  • Type

    conf

  • DOI
    10.1109/PEOCO.2010.5559177
  • Filename
    5559177