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Abstract

The wind power density was investigated in this study to assess the wind energy potential in Kuala Terenganu, Malaysia. The monthly data were statistically analyzed to predict the best distribution that represents bivariate model of wind speed and wind direction. Subsequently, wind power density was assessed by numerical analysis. The results revealed that the estimate mean wind power densities for monthly data are significant with the monsoon seasons in that area. The northeast monsoon effects the East Coast of Peninsular Malaysia, including Kuala Terenganu. Gama distribution together with finite mixture of von Mises is best in represent the monthly bivariate model of wind speed and direction in Kuala Terenganu.