elcarpins/windTurbinePowerCoefficientModel
The present repository shares the neural network algorithm described in the manuscript: Wind turbine power coefficient models based on neural networks and polynomial fitting. The power coefficient parameter represents the aerodynamic wind turbine efficiency. The MATLAB function can be directly downloaded as well as the polynomial coefficients. The "functionNeuralNetwork" is the code from the MATLAB Function in which a neural network has been trained with three sets of data developed with a blade element momentum algorithm covering a wind turbine range from 2 to 10 MW. The "functionPolynomialFitting" is the code from the MATLAB function similarly fitted as the NN. Both models represent the power coefficient of a wind turbine based on the pitch angle and the tip speed ratio.