Abstract

Empirical wind turbine power curve modelling is often used to improve wind power forecasting. This is mostly due to the fact that theoretical power curves released by manufacturer companies are based on ideal meteorological and topographical conditions for wind turbines. However, wind turbines are never used under ideal conditions, and the empirical power curves could be substantially different from the theoretical ones. On the other hand, empirical power curves could be very far from the theoretical ones for several reasons including sensitivity of model fitting approach to the outliers and variability of observed data points, etc.