A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Solar radiation prediction is a nonlinear and non-stationary process. It's hard to model with a single method. A wavelet neural network model was set in this paper. The nonlinear process of solar radiation was forecasted by neural network and the non-stationary process of solar radiation was decomposed into quasi-stationary at different frequency scales by multi-scale characteristics of wavelet transform. The model was trained with temperature, clearness index, and phase space reconstructiondoi:10.1016/j.proeng.2011.08.864 fatcat:x7pz2mnhrvfgpasxvyrbtw7soe