Wind Speed Forecasting in Wind Farm Based on Chaotic-RBF Neural Networks

摘要

An accurate short-term predication of wind speed in wind farm will have great significance to the timely adjustment and the development of wind power and electrical power. Based its calculation on the chaotic nature of wind speed time series, this paper adopts the method of hybrid algorithm combining phase space reconstruction and RBF(Radial Basis Function) neutral network in calculating the wind speed. As is shown by the calculation and comparison of the exemplified simulation, it is concluded that this chaotic-RBF neutral network calculating method can be used to further improve prediction accuracy.