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Information Journal Paper

Title

MIXTURE PROBABILITY DISTRIBUTION FUNCTIONS TO MODEL WIND SPEED DISTRIBUTIONS

Pages

  1-10

Abstract

 Accurate wind speed modeling is critical in estimating wind energy potential for harnessing wind power effectively. The quality of wind speed assessment depends on the capability of chosen probability density function (PDF) to describe the measured wind speed frequency distribution. The objective of this study is to describe (model) wind speed characteristics using three mixture PROBABILITY DENSITY FUNCTIONS Weibull-extreme value distribution (GEV), Weibull-lognormal, and GEV-lognormal which were not tried before. Statistical parameters such as maximum error in the Kolmogorov-Smirnov test, root mean square error, Chi-square error, coefficient of determination, and power density error are considered as judgment criteria to assess the fitness of the PROBABILITY DENSITY FUNCTIONS. Results indicate that Weibull-GEV PDF is able to describe unimodal as well as bimodal wind distributions accurately whereas GEV-lognormal PDF is able to describe familiar bell-shaped unimodal distribution well. Results show that mixture probability functions are better alternatives to conventional Weibull, two-component mixture Weibull, gamma, and lognormal PDFs to describe wind speed characteristics.

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    Cite

    APA: Copy

    KOLLU, RAVINDRA, RAYAPUDI, SRINIVASA RAO, NARASIMHAM, SVL, & MOHAN PAKKURTHI, KRISHNA. (2012). MIXTURE PROBABILITY DISTRIBUTION FUNCTIONS TO MODEL WIND SPEED DISTRIBUTIONS. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 3(3), 1-10. SID. https://sid.ir/paper/327007/en

    Vancouver: Copy

    KOLLU RAVINDRA, RAYAPUDI SRINIVASA RAO, NARASIMHAM SVL, MOHAN PAKKURTHI KRISHNA. MIXTURE PROBABILITY DISTRIBUTION FUNCTIONS TO MODEL WIND SPEED DISTRIBUTIONS. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING[Internet]. 2012;3(3):1-10. Available from: https://sid.ir/paper/327007/en

    IEEE: Copy

    RAVINDRA KOLLU, SRINIVASA RAO RAYAPUDI, SVL NARASIMHAM, and KRISHNA MOHAN PAKKURTHI, “MIXTURE PROBABILITY DISTRIBUTION FUNCTIONS TO MODEL WIND SPEED DISTRIBUTIONS,” INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, vol. 3, no. 3, pp. 1–10, 2012, [Online]. Available: https://sid.ir/paper/327007/en

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