WEIBULL / RAYLEIGH DISTRIBUTION USED TO MODEL WIND SPEEDS IN ORDER TO PREDICT WIND ENERGY PRODUCTION.

The Weibull distribution is a popular probability distribution used to model wind speeds in order to predict wind energy production. It is a continuous probability distribution with two parameters, the shape parameter k and the scale parameter c. The Weibull distribution is often used in wind energy applications because it has a flexible shape that can fit a wide range of wind speed data. The shape parameter k controls the shape of the distribution, with smaller values of k indicating a more peaked distribution and larger values indicating a more spread-out distribution. The scale parameter c determines the location of the distribution along the wind speed axis. This article will focus on the analytical expressions used for wind data assessment and on how to fit the parameters needed for them deriving analytical expressions to fit the probability density function is way to reduce the number of parameters to characterize the probability density function and the estimate wind power resource. The Weibull and Rayleigh distributions are the most commonly used statistical functions used for wind power studies and this article have a closer look at them and reveals some commonly used method to fit their parameters. [ABSTRACT FROM AUTHOR]