Determination of the best Weibull methods for wind power assessment in the southern region of Turkey
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[1] Murat Gökçek,et al. Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey , 2007 .
[2] Mehmet Capik,et al. Present situation and potential role of renewable energy in Turkey. , 2012 .
[3] S. Rehman,et al. Wind Speed Characteristics and Resource Assessment Using Weibull Parameters , 2012 .
[4] Mohammad. Rasul,et al. Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications , 2014 .
[5] Ramazan Köse,et al. The analysis of wind data and wind energy potential in Kutahya, Turkey , 2004 .
[6] S. Y. Doka,et al. Performance Assessment of Two-parameter Weibull Distribution Methods for Wind Energy Applications in the District of Maroua in Cameroon , 2014 .
[7] Talha Arslan,et al. Comparative study of numerical methods for determining Weibull parameters for wind energy potential , 2014 .
[8] Debasis Kundu,et al. Is Weibull distribution the most appropriate statistical strength distribution for brittle materials , 2009 .
[9] Saif Uddin Jilani,et al. Determination of Weibull Parameter by Four Numerical Methods and Prediction of Wind Speed in Jiwani (Balochistan) , 2015 .
[10] M. H. Abdel-Aziz,et al. Assessment and Analysis of Wind Power Resource Using Weibull Parameters , 2015 .
[11] Ali Mostafaeipour,et al. Using different methods for comprehensive study of wind turbine utilization in Zarrineh, Iran , 2013 .
[12] Bong-Jin Yum,et al. Selection between Weibull and lognormal distributions: A comparative simulation study , 2008, Comput. Stat. Data Anal..
[13] S. H. Pishgar-Komleh,et al. Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran) , 2015 .
[14] Seyit Ahmet Akdağ,et al. A new method to estimate Weibull parameters for wind energy applications , 2009 .
[15] Y. Kantar,et al. Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function , 2008 .
[16] R. Hanitsch,et al. Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt , 2006 .
[17] Paulo Alexandre Costa Rocha,et al. An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil , 2014 .
[18] Nasrudin Abd Rahim,et al. Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function , 2011 .
[19] T. Chang. Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application , 2011 .
[20] Kamaruzzaman Sopian,et al. Review of the energy supply status for sustainable development in the Organization of Islamic Conference , 2013 .
[21] Matthew A. Lackner,et al. Probability distributions for offshore wind speeds , 2009 .
[22] Yusuf Alper Kaplan,et al. Overview of wind energy in the world and assessment of current wind energy policies in Turkey , 2015 .
[23] Carla Freitas de Andrade,et al. Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil , 2012 .