Open AccessWIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS
Author(s) -
Oluseyi Enitan Ogunsola,
OFURE OSAGIEDE
Publication year - 2018
Publication title -
journal of engineering studies and research
Language(s) - English
Resource type - Journals
eISSN - 2344-4932
pISSN - 2068-7559
DOI - 10.29081/jesr.v24i3.52
Subject(s) - akaike information criterion , mathematics , statistics , weibull distribution , statistic , probability density function , bayesian information criterion , kolmogorov–smirnov test , probability distribution , test statistic , order statistic , wind speed , mean squared error , statistical hypothesis testing , meteorology , geography
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.