Improved wind resource modeling using bimodal Weibull distribution

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作者
Aldaoudeyeh, Al-Motasem [1 ]
机构
[1] Department of Electrical Power Engineering and Mechatronics Engineering, Tafila Technical University, Tafila, Jordan
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10.1063/5.0219971
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摘要
Despite the common norm of modeling wind regimes using two-parameter Weibull distribution (2WD), this probability density function (PDF) is not suitable for sites of calm wind regime. Furthermore, 2WD PDF lacks bimodality and exhibits a quasi-flat shape, which are phenomena seen occasionally in some sites. In this paper, the application of bimodal Weibull distribution (BWD) is proposed as a more comprehensive alternative to the conventional 2WD. A comparative analysis of BWD with 2WD, five-parameter Weibull and Weibull distribution, and three-parameter generalized extreme value distribution, across 32 sites spanning all five continents, reveals moderate to substantial improvements in root mean square error, χ 2 statistic, and R2. In addition, the paper demonstrates and explores distinct attributes of BWD, such as bimodality, quasi-flat shapes, flat-start, and others. © 2024 Author(s).
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