The cement industry is a significant contributor to anthropogenic CO 2. For China, the
cement industry is crucial for development, considering the surging urbanization. CO 2 …

A new multivariable grey prediction model was proposed by adding a dependent variable
lag term, a linear correction term and a random disturbance term to the traditional GM (1, N) …

The electricity consumption forecasting problem is especially important for policy making in
developing region. To properly formulate policies, it is necessary to have reliable forecasts …

To alleviate the threatening pressure of energy shortage and environmental issues, the
adoption of electric vehicles (EVs) is regarded as an effective measure. Therefore, accurate …

In grey system theory, the value of the background-value coefficient has a significant impact
on the performance of a multi-variable grey forecasting model (MGFM). However, for most …

Purpose The purpose of this paper is to summarize progress of grey forecasting modelling,
explain mechanism of grey forecasting modelling and classify exist grey forecasting models …

The nonlinear grey Bernoulli model, which is often called the NGBM (1, 1), appeals
considerable interest of research due to its effectiveness in time series forecasting. The …

In the multi-variable grey forecasting model GM (1, N), the extreme value of the independent
variable is one of the important factors that affect the simulation and prediction results of the …

Rapid and revolutionary changes in technology and rising demand for consumer electronics
have led to staggering rates of accumulation of electrical and electronic equipment waste …

Developing more effective carbon mitigation strategies requires accurate forecasting of
carbon emissions. This is especially true for China, the United States and India, which …