Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean
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- Borhan, Y., 1998. "Mesoscale interactions on wind energy potential in the northern Aegean region: a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 2(4), pages 353-360, December.
- Celik, Ali Naci, 2004. "A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey," Renewable Energy, Elsevier, vol. 29(4), pages 593-604.
- Celik, A.N., 2003. "Assessing the suitability of wind speed probabilty distribution functions based on wind power density," Renewable Energy, Elsevier, vol. 28(10), pages 1563-1574.
- Chang, Tsang-Jung & Tu, Yi-Long, 2007. "Evaluation of monthly capacity factor of WECS using chronological and probabilistic wind speed data: A case study of Taiwan," Renewable Energy, Elsevier, vol. 32(12), pages 1999-2010.
- Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
- Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
- İncecİk, S. & Erdoğmuş, F., 1995. "An investigation of the wind power potential on the western coast of Anatolia," Renewable Energy, Elsevier, vol. 6(7), pages 863-865.
- Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
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Keywords
Mixture distributions Simple-Weibull distribution Mixed-Weibull distribution Probability density distribution Maximum likelihood method Coefficient of determination;Statistics
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