Papers by Author: Pu Han

Abstract: This paper introduces how the simulator's credibility, which mainly includes the fidelity and accuracy, influences the practical application effects. Based on analyzing the factors that influence the physical fidelity and the mathematical model accuracy, an approach is put forward to improve the simulation precision. Furthermore, the paper summarized the practical values of the simulator and its function on scientific research.

Abstract: Wind speed forecasting is critical for wind energy conversion systems. Adaptive and reliable methods and techniques of wind speed forecasting are urgently needed in view of the stochastic nature of wind resource, which is varying from time to time and from site to site. Multi-step-ahead speed forecasting is built with empirical mode decomposition (EMD) method and RBF neural network, which makes use of non-linear and non-stationary signal characteristics. Time series of original wind speed data is decomposed by EMD method. And RBF neural network is used to predict the decomposition of the various components. Experimental results show that the method effectively improves the accuracy and the reliability of wind speed forecasting.