Use of multi-parameter distributions for offshore wind speed modeling: The Johnson SB distribution
暂无分享,去创建一个
[1] Tekin Öztekin,et al. Wakeby distribution for representing annual extreme and partial duration rainfall series , 2007 .
[2] A. Messac,et al. A Multivariate and Multimodal Wind Distribution model , 2013 .
[3] J. A. Carta,et al. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands , 2009 .
[4] T. Chang,et al. Evaluation of monthly capacity factor of WECS using chronological and probabilistic wind speed data: A case study of Taiwan , 2007 .
[5] Srinivasa Rao Rayapudi,et al. Mixture probability distribution functions to model wind speed distributions , 2012 .
[7] E. Simiu,et al. Extreme Wind Distribution Tails: A “Peaks over Threshold” Approach , 1996 .
[8] B. Safari,et al. A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda , 2010 .
[9] Jean Palutikof,et al. A review of methods to calculate extreme wind speeds , 1999 .
[10] N. L. Johnson,et al. Continuous Univariate Distributions. , 1995 .
[11] T. Jiang,et al. Simulation of extreme precipitation over the Yangtze River Basin using Wakeby distribution , 2009 .
[12] H. S. Bagiorgas,et al. Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean , 2010 .
[13] Ioannis Fyrippis,et al. Wind energy potential assessment in Naxos Island, Greece , 2010 .
[14] N. L. Johnson,et al. Systems of frequency curves generated by methods of translation. , 1949, Biometrika.
[15] Takvor H. Soukissian,et al. Wind And Wave Potential In Offshore Locations of the Greek Seas , 2012 .
[16] N. T. Kottegoda. Fitting Johnson SB curve by the method of maximum likelihood to annual maximum daily rainfalls , 1987 .
[17] J. Scolforo,et al. SB distribution’s accuracy to represent the diameter distribution of Pinus taeda, through five fitting methods , 2003 .
[18] Michael R Flynn,et al. Fitting human exposure data with the Johnson SB distribution , 2006, Journal of Exposure Science and Environmental Epidemiology.
[19] Xiaofu Xiong,et al. Estimating wind speed probability distribution using kernel density method , 2011 .
[20] Tian Pau Chang,et al. Estimation of wind energy potential using different probability density functions , 2011 .
[21] K. Philippopoulos,et al. Wind Speed Distribution Modeling in the Greater Area of Chania, Greece , 2012 .
[22] I. Jánosi,et al. Comprehensive empirical analysis of ERA-40 surface wind speed distribution over Europe , 2008 .
[23] J. Draper. PROPERTIES OF DISTRIBUTIONS RESULTING FROM CERTAIN SIMPLE TRANSFORMATIONS OF THE NORMAL DISTRIBUTION , 1952 .
[24] Matthew A. Lackner,et al. Probability distributions for offshore wind speeds , 2009 .
[25] Valerio Lo Brano,et al. Quality of wind speed fitting distributions for the urban area of Palermo, Italy , 2011 .
[26] Vicente Negro,et al. Why offshore wind energy , 2011 .
[27] E. Erdem,et al. Comprehensive evaluation of wind speed distribution models: A case study for North Dakota sites , 2010 .
[28] Yeliz Mert Kantar,et al. Analysis of some flexible families of distributions for estimation of wind speed distributions , 2012 .
[29] B. Safari,et al. Modeling wind speed and wind power distributions in Rwanda , 2011 .
[30] David T. Mage,et al. An Explicit Solution for SB, Parameters Using Four Percentile Points , 1980 .
[31] J. Torres,et al. Fitting wind speed distributions: a case study , 1998 .
[32] L. Zhang,et al. A comparison of estimation methods for fitting Weibull and Johnson's SB distributions to mixed sprucefir stands in northeastern North America , 2003 .