The grey model, which is abbreviated as GM (1, 1), has been widely applied in the fields of
decision and prediction, particularly in the prediction of time series with few observations …

Previous studies paid attention to improving the predicted capability of the classical grey
model, but its robustness is still unclear and not explored, in particular when these exhibit …

Grey theory is a truly multidisciplinary and generic theory that deals with systems which are
characterized by poor information and/or for which information is lacking. In this paper, a …

Energy demand forecasting plays an important role in decision making. A mathematical
model known as grey model GM (1, 1) has been, herewith, employed successfully in the …

The demand for energy supply has been increasing dramatically in recent years in the
global. In addition, owing to the uncertain economic structure of the county, energy has a …

In recent years, the nonhomogeneous grey model has received much attention owing to its
flexibility and applicability of forecasting small samples. To improve further the prediction …

A stable electricity supply is the basis for ensuring the healthy and sustained development of
a regional economy. Reasonable electricity prediction is the key to guaranteeing the stability …

The fixed structure parameters limit the performance of grey prediction algorithm in
unsmoothed time series prediction tasks. Based on the mechanism of recursive iteration, this …

Abstract Grey model GM (1, 1) has been widely used in short-term prediction of energy
production and consumption due to its advantages in data sets with small numbers of …

Electricity consumption is one of the most important indicators reflecting the industrialization
of a country. Supply of electricity power plays an import role in guaranteeing the running of a …