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Global Warming and Emission Regulations
- Publisher
- SAGE
- Copyright
- © The Author(s) 2022
- ISSN
- 0309-524X
- eISSN
- 2048-402X
- DOI
- 10.1177/0309524x221102967
- Publisher site
- See Article on Publisher Site
Abstract
This work uses the previously developed mixed distribution, however, with added a parameter and function. We introduce the improved mixed distribution model as an alternative wind speed distribution, which combines three distributions. Four extreme value distributions are considered to model mixed distribution, improved mixed distribution, and estimate wind speed. The efficiency of univariate, mixed, and improved mixed distributions on actual wind speed data from China’s diverse regions is estimated. Using the minimal standard error of fit (SEF) test, 65.5% of samples are better suitable for the improved mixed distribution. The best model’s return period is also calculated. Moreover, the addition of another parameter and function in mixed distributions has improved the results. This statistical analysis concluded that improved mixed distributions are more suitable and accurate for assessing wind speed data.
Journal
Wind Engineering – SAGE
Published: Dec 1, 2022
Keywords: China; extreme value distributions; mixed distribution; parameter estimation; wind speed; wind energy