Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application

By T. Chang. 2011

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Weibull Parameters Estimation Using Four Different Methods and Most Energy-Carrying Wind Speed Analysis (2011, methodology): “There are several methods based on data analysis for the calculation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes (Stevens and Smulders 1979; Qiao and Tsokos 1994; Lun and Lam 2000; Seguro and Lambert 2000; Abbasi et al. 2006; Chang 2011).”
Comparative Study of Five Methods to Estimate Weibull Parameters for Wind Speed on Phangan Island, Thailand (2015, methodology): “However, Chang [7] compared six numerical methods for estimating the Weibull parameters for three areas in Taiwan, and found that the maximum likelihood method performs best, with the modified maximum likelihood the next best.”
The impact of climate change on the levelised cost of wind energy (2017, methodology): “Several methods exist to find these parameters [74], with Chang [64] finding that one of the most applicable and reliable is the moment likelihood method which can perform better than other methods of parameterisation in a general context.”
Wind Speed Interval Prediction Based on Lorenz Disturbance Distribution (2020, methodology): “commonly used probability distribution of wind power include Weibull distribution [16], [17], Rayleigh distribution [16] and so on.”