  At present, the energy structure of China is shifting towards cleaner and
lower amounts of carbon fuel, driven by environmental needs and technological
advances. Nuclear energy, which is one of the major low-carbon resources, plays
a key role in China's clean energy development. To formulate appropriate energy
policies, it is necessary to conduct reliable forecasts. This paper discusses
the nuclear energy consumption of China by means of a novel fractional grey
model FAGMO(1,1,k). The fractional accumulated generating matrix is introduced
to analyse the fractional grey model properties. Thereafter, the modelling
procedures of the FAGMO(1,1,k) are presented in detail, along with the
transforms of its optimal parameters. A stochastic testing scheme is provided
to validate the accuracy and properties of the optimal parameters of the
FAGMO(1,1,k). Finally, this model is used to forecast China's nuclear energy
consumption and the results demonstrate that the FAGMO(1,1,k) model provides
accurate prediction, outperforming other grey models.
