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Selected Works of Masoud Davari
Presentation
One Day Ahead Prediction of Wind Speed Based on Power and Exponential
International Power Engineering and Optimization Conference (PEOCO) (2010)
  • Mostafa Gholami, Amirkabir University of Technology-Iran
  • Gevorg B. Gharehpetian, Amirkabir University of Technology-Iran
  • Masoud Davari, Georgia Southern University
Link
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
  • Wind speed prediction,
  • Least-square method,
  • Predictive models,
  • Data models,
  • Wind speed,
  • Wind forecasting,
  • Electrical engineering,
  • Computational modeling,
  • Wind farms
Disciplines
Publication Date
June 23, 2010
Location
Shah Alam, Malaysia
DOI
10.1109/PEOCO.2010.5559177
Citation Information
Mostafa Gholami, Gevorg B. Gharehpetian and Masoud Davari. "One Day Ahead Prediction of Wind Speed Based on Power and Exponential" International Power Engineering and Optimization Conference (PEOCO) (2010)
Available at: http://works.bepress.com/masoud-davari/12/