Modelling Wind Speed Using Mixture Distributions in the Tangier Region
The main objective of this research is to improve the predictability of wind generation, these include to propose a probabilistic prediction approach of the moment of appearance of these variations. In this perspective, we will compare the adjustment of wind speed distribution by Weibull distribution and two mixture distribution function as a solid alternative model to the eolian energy models. First with the mixture of the Weibull and Pareto distribution, and second with Lognormal and Pareto distribution. Our aim is to capture the outlier if there exists in the data and gives a most precise predictive estimation of the power density energy, evaluate the wind potential and predict the electrical energy produced in the site in order to size a wind farm on a site in Tangier while based on a judicious choice of wind turbines.
KeywordsWind speed Wind power density Wind variation Statistical analysis Weibull Lognormal Pareto Probability density function
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