Analyses of Climate Change Impacts on Wind Speed and Energy Potential by Using ANN


7th International Congress on Industrial and Applied Mathematics (ICIAM)/Thematic Minisymposia, Vancouver, Canada, 18 - 22 July 2011, vol.1463, pp.132-156 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1463
  • Doi Number: 10.1063/1.4740043
  • City: Vancouver
  • Country: Canada
  • Page Numbers: pp.132-156


The main objectives of this study are; i) to define variations of wind velocity and energy potential in Istanbul and Isparta, ii) to study trends, cyclic components, micro, meso and macro scale effects and climate changing, iii) to predict wind energy potential by using artificial neural networks (ANN). Wavelet methodologies present better results on temporal and spatial data analyses. Results of this paper evaluate wind energy potential, its annual and inter-annual variability, self similarity; and relation with periodic and non-periodic fluctuations of wind speed values in two study areas.