A Wavelet-Based RBFN-Type-ELM Method for Wind Power Generation Output Forecasting

This paper proposes an efficient method for wind power generation output forecasting. The proposed method is based on Radial Basis Function Network (RBFN) of Artificial Neural Network (ANN). In this paper, a couple of strategies are proposed to improve the performance of RBFN. One is the use of the Wavelet Transform as the preconditioning technique while the other is to apply the idea of ELM (Extreme Learning Machine) to RBFN. The effectiveness of the proposed method is demonstrated for real data of wind power generation output.