Commercial wind turbines modeling using single and composite cumulative probability density functions

As wind turbines more widely used with newer manufactured types and larger electrical power scales, a brief mathematical modelling for these operating curves is needed optimal site matching selections. In this paper, 24 commercial different ratings manufactures are modelled using single cumulative probability density functions equations. A new mean of composite function better accuracy. Invasive weed optimization algorithm to estimate models designing parameters. The best model each turbine reached through comparing the RMSE model. Results showed that Weibull-Gamma technique 37.5% results.