The fractional order grey models have appealed considerable interest of research in recent
years due to its high effectiveness and flexibility in time series forecasting. However, the …

The study compares the forecasting performance of the grey type models, represented by an
optimized nonlinear grey Bernoulli model (ONGBM), a nonlinear grey Bernoulli model with …

In this paper, a new adjacent non-homogeneous grey model was proposed to predict
renewable energy consumption in Europe. Based on the principle of adjacent accumulation …

Accurate and stable annual electricity consumption forecasting play vital role in modern
social and economic development through providing effective planning and guaranteeing a …

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 …

Forecasting of electricity energy consumption (EEC) has been always playing a vital role in
China's power system management, and requires promising prediction techniques. This …

In Cameroon, predicting CO 2 emissions from road transports is crucial since it contributes in
formulating the government's energy plans and strategies. In this perspective, this paper …

In this paper, a modified grey prediction model with dam** trend factor is proposed. The
proposed dam** accumulated generating operator is an optimized form of the traditional …

The grey prediction model, as a time-series analysis tool, has been used in various fields
only with partly known distribution information. The grey polynomial model is a novel method …