Optimized DHT-RBF model as replacement of ARMA-RBF model for wind power forecasting

Abstract

ARMA-Neural model is an established useful model for the Wind Power forecasting purpose. In the current work we introduced Discrete Hilbert Transform (DHT)-Neural Model which provides better result than the ARMA-Neural Model. We know that a signal and its' DHT produces the same Energy Spectrum. Based on this concept in this paper DHT is used for Wind Speed forecasting purpose. Thereafter the RBF neural network is used on this to forecast wind power. Taking the data of measured wind speed from Weather Forecasting Bureau Report as example, we validate the method described above.