WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed using three of the mostly utilized conventional Probability Distribution Functions (PDFs) in order to determine which of these distributions would give the best means of analysis for wind in this pa...
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2018
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oai:doaj.org-article:3cccaac7b33e4452b556fc1841c0193f2021-12-02T19:50:30ZWIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS10.29081/jesr.v24i3.522068-75592344-4932https://doaj.org/article/3cccaac7b33e4452b556fc1841c0193f2018-09-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/52https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed using three of the mostly utilized conventional Probability Distribution Functions (PDFs) in order to determine which of these distributions would give the best means of analysis for wind in this particular location. The best fit test for these PDFs were determined from Akaike Information Criteria, Bayesian Information Criteria, Kolmogorov-Smirnov test, Cramer-von Mises statistics, Anderson-Darling Statistic, Mean Square Error and Chi-Square Test using Maximum Likelihood Estimation and Method of Moments as parameter estimates. The Weibull distribution gave the best fit in this location. OLUSEYI OGUNSOLAOFURE OSAGIEDEAlma Mater Publishing House "Vasile Alecsandri" University of Bacauarticleweibull distributionprobability distribution functionsmaximum likelihood estimatormethod of momentparameter estimates and best fitTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 24, Iss 3 (2018) |
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weibull distribution probability distribution functions maximum likelihood estimator method of moment parameter estimates and best fit Technology T Engineering (General). Civil engineering (General) TA1-2040 |
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weibull distribution probability distribution functions maximum likelihood estimator method of moment parameter estimates and best fit Technology T Engineering (General). Civil engineering (General) TA1-2040 OLUSEYI OGUNSOLA OFURE OSAGIEDE WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
description |
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed using three of the mostly utilized conventional Probability Distribution Functions (PDFs) in order to determine which of these distributions would give the best means of analysis for wind in this particular location. The best fit test for these PDFs were determined from Akaike Information Criteria, Bayesian Information Criteria, Kolmogorov-Smirnov test, Cramer-von Mises statistics, Anderson-Darling Statistic, Mean Square Error and Chi-Square Test using Maximum Likelihood Estimation and Method of Moments as parameter estimates. The Weibull distribution gave the best fit in this location.
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format |
article |
author |
OLUSEYI OGUNSOLA OFURE OSAGIEDE |
author_facet |
OLUSEYI OGUNSOLA OFURE OSAGIEDE |
author_sort |
OLUSEYI OGUNSOLA |
title |
WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
title_short |
WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
title_full |
WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
title_fullStr |
WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
title_full_unstemmed |
WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS |
title_sort |
wind speed analysis at ikeja, nigeria using the conventional probability density functions |
publisher |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau |
publishDate |
2018 |
url |
https://doaj.org/article/3cccaac7b33e4452b556fc1841c0193f |
work_keys_str_mv |
AT oluseyiogunsola windspeedanalysisatikejanigeriausingtheconventionalprobabilitydensityfunctions AT ofureosagiede windspeedanalysisatikejanigeriausingtheconventionalprobabilitydensityfunctions |
_version_ |
1718375893737406464 |