Marshall–Olkin Power Lomax distribution for modeling of wind speed data

dc.contributor.authorAhsan ul Haq, Muhammad
dc.contributor.authorRao, Srinivasa G.
dc.contributor.authorAlbassam, Mohammed
dc.contributor.authorAslam, Mohammed
dc.date.accessioned2020-11-24T07:59:43Z
dc.date.available2020-11-24T07:59:43Z
dc.date.issued2020
dc.descriptionFull text article. Also available at https://doi.org/10.1016/j.egyr.2020.04.033en_US
dc.description.abstractAccurate collection of wind speed records is significant for numerous wind power applications. The present investigation aims to highlight the use of the Marshall–Olkin Power Lomax (MOPLx) distribution for wind speed data. We examine the actual wind speed records gathered from three stations Bahawalpur, Gwadar, and Haripur. The dataset is demonstrated by using MOPLx distribution and compare its modeling performance with renowned probability distributions, forexample, Weibull–Lomax, power Lomax, Weibull, power Lindley, Lindley, and Lomax. Findings indicate that MOPLx distribution gives the best fitting as per model evaluation criteria, Akaike information criterion (AIC), Bayesian information criterion (BIC), Kolmogorov Smirnov test (KS), coefficient of determination (R2)and root mean square error (RMSE). Overall, the results demonstrate the feasibility, precision, and effectiveness of the MOPLx distribution for portraying wind speed modeling. It is also observed that the MOPLx model is ideal in terms of the power density error (PDE) criterion.en_US
dc.identifier.citationul Haq, M. A., Rao, G. S., Albassam, M., & Aslam, M. (2020). Marshall–Olkin Power Lomax distribution for modeling of wind speed data. Energy Reports, 6, 1118-1123.en_US
dc.identifier.otherDOI 10.1016/j.egyr.2020.04.033
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2504
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectWind energyen_US
dc.subjectMarshall–Olkin familyen_US
dc.subjectLomax distributionen_US
dc.subjectMarshall–Olkin Poweren_US
dc.subjectMOPLxen_US
dc.subjectWind speeden_US
dc.subjectMOPLx distributionen_US
dc.subjectWind dataen_US
dc.titleMarshall–Olkin Power Lomax distribution for modeling of wind speed dataen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Muhammad.pdf
Size:
1.57 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections