An enhanced ANN wind power forecast model based on a fuzzy representation of wind direction

Abstract

Due to high penetration of wind generation in modern power systems, the influence of wind power production over the efficient operation of the power system is increasingly complex. Hence, an increasing interest is shown by different actors in the wind energy market to develop and enhance existent forecasting methods for power generated by wind farms. This paper presents the experience with wind power prediction of a small size wind power producer in Romania. The model was designed using components from Artificial Neural Networks and Fuzzy System theory.