The Probability Density Function for Wind Speed Using Modified Weibull Distribution
<p>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 ne...
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oai:doaj.org-article:3eb4c1b8412d4a158f3265db4e1fea3b2021-11-12T07:27:32ZThe Probability Density Function for Wind Speed Using Modified Weibull Distribution2146-4553https://doaj.org/article/3eb4c1b8412d4a158f3265db4e1fea3b2021-11-01T00:00:00Zhttps://econjournals.com/index.php/ijeep/article/view/11625https://doaj.org/toc/2146-4553<p>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.</p><p><strong>Keywords: </strong>Wind speed, Distribution function, Weibull distribution, Modified Weibull distribution</p><p><strong>JEL Classifications: </strong>C13; C22; C36; C93; L94; Q42</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.11625">https://doi.org/10.32479/ijeep.11625</a></p>Suwarno SuwarnoM. Fitra ZambakEconJournalsarticleEnvironmental sciencesGE1-350Energy industries. Energy policy. Fuel tradeHD9502-9502.5ENInternational Journal of Energy Economics and Policy, Vol 11, Iss 6, Pp 544-550 (2021) |
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Environmental sciences GE1-350 Energy industries. Energy policy. Fuel trade HD9502-9502.5 Suwarno Suwarno M. Fitra Zambak The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
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<p>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.</p><p><strong>Keywords: </strong>Wind speed, Distribution function, Weibull distribution, Modified Weibull distribution</p><p><strong>JEL Classifications: </strong>C13; C22; C36; C93; L94; Q42</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.11625">https://doi.org/10.32479/ijeep.11625</a></p> |
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Suwarno Suwarno M. Fitra Zambak |
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Suwarno Suwarno M. Fitra Zambak |
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Suwarno Suwarno |
title |
The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
title_short |
The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
title_full |
The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
title_fullStr |
The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
title_full_unstemmed |
The Probability Density Function for Wind Speed Using Modified Weibull Distribution |
title_sort |
probability density function for wind speed using modified weibull distribution |
publisher |
EconJournals |
publishDate |
2021 |
url |
https://doaj.org/article/3eb4c1b8412d4a158f3265db4e1fea3b |
work_keys_str_mv |
AT suwarnosuwarno theprobabilitydensityfunctionforwindspeedusingmodifiedweibulldistribution AT mfitrazambak theprobabilitydensityfunctionforwindspeedusingmodifiedweibulldistribution AT suwarnosuwarno probabilitydensityfunctionforwindspeedusingmodifiedweibulldistribution AT mfitrazambak probabilitydensityfunctionforwindspeedusingmodifiedweibulldistribution |
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1718431101455695872 |