Summary Statistics Min 1st Quarter Median Mean 3rd Quarter Mae 1.54 2.94 4.06 4.578 5.88 9.81 Note: Kurtosis = 2.502187, Skewness = 0.6333066 Conclusion The performance of Exponentiated Weibull and Weibull distribution functions to model wind energy was systematically compared. It was observed that the log SHITTU & ADEPOJU 441 likelihood values and the Akaike information criterion (AIC) for the Exponentiated Weibull was always smaller for the Weibull distribution for each month except the month of November. This indicates that the proposed Exponentiated Weibull distribution outperformed the existing Weibull distribution for wind speed data in terms of minimum AIC and likelihood function over the months of the years under review. Thus, the exponentiated Weibull can be used as an alternative distribution that adequately describes wind speed, and may provide better representation of the potentials of wind energy. References Akpinar, S. & Akpinar, E. K. (2009). Estimation of wind energy potential using finite mixture distribution models. Energy Conversion and Management, 50(4): 877–84. Bivona, S., Burlon, R., & Leone, C.. (2003). Hourly wind speed analysis in Sicily. Renewable Energy, 28(9): 1371-1385. Burton, T., Sharpe, D., Jenkins, N., & Bossanyi, E. (2001). Wind energy handbook. Wiley. Carta, J. A., Ramirez, P., & Velazquez, S. (2009). A review of wind speed probability distributions used in wind energy analysis Case studies in the Canary Islands. Renewable and Sustainable Energy Reviews, 13(5): 933–55. Carta, J. A., Ramirez, P., & Velazquez, S. (2008) Influence of the level of fit of a density probability function to wind-speed data on the WECS means power output estimation. Energy Conversion and Management, 49(10):2647–55. Carta, J. A. & Ramirez, P. (2007). Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions. Renewable Energy, 32(3): 518–31. Carta, J. A. & Ramirez, P. (2007). Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago. Energy Conversion and Management, 48(1): 281–91. Celik, A. N. (2004). A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy, 29(4): 593–604. Chang, T-J & Tu, Y-L. (2007). Evaluation of monthly capacity factor of WECS using Chronological and probabilistic wind speed data: a case study of Taiwan. Renewable Energy, 32(12): 1999–2010.