The Probability Density Function for Wind Speed Using Modified Weibull Distribution

Suwarno Suwarno and M. Fitra Zambak
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Suwarno Suwarno: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia
M. Fitra Zambak: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia

International Journal of Energy Economics and Policy, 2021, vol. 11, issue 6, 544-550

Abstract: Wind speed (WS) is important information to determine the potential for wind energy in an area. Wind speed has been widely expressed by the probability density function (Pdf), one of which uses the Weibull Distribution (WD). Not all WS data can be analyzed by WD because some deficiencies need to be corrected. Modified Weibull Distribution (MWD) is proposed to improve the existing WD models. In addition, this paper also compares the performance of MWD against WD using WS data measured in Medan City. To validate the two models (WD and MWD), the coefficient of determination (R-squared) and the mean square root error (RMSE) were used. In addition, data validation tests were also carried out using Chi-square and Kolmogorov-Smirnov. The result obtained is that MWD has a more acceptable fit than WD for this case.

Keywords: Wind speed; Distribution function; Weibull distribution; Modified Weibull distribution (search for similar items in EconPapers)
JEL-codes: C13 C22 C36 C93 L94 Q42 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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