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Abstract:
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We use a set of skewed and flexible skewed distributions to model and analyze wind speed distributions including the most common wind speed distributions used in the previous studies. Due to wind speed data's extreme usefulness in generating important information about our changing environment, finding suitable distribution for modeling wind speed distribution is critical. The purpose of this study is to present the most efficient and practical method concerning the question: which method and distribution is most effective in modeling and estimating the parameters of wind speed data? The application of each model is demonstrated using a sample wind speed data set, and a comparison of the accuracy of each model is also performed using Monte Carlo simulation. It is hoped that this will allow for environmentalists to be able to place wind energy sources effectively in the locations that yield the maximum strength and speed, while minimizing costs.
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