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 …

Policy incentives are the key driving force for the electric vehicle (EV) market cultivation.
During the EV market cultivation in different regions, the supply-side and demand-side …

Air pollution prediction and damage assessment are important in environmental
management. However, existing research focuses more on the short-term prediction and …

Energy saving in the process of engineering construction is an indispensable measure to
achieve industrial low carbon emissions. To reduce fuel consumption in the construction …

As an important means to enhance energy security and air pollution pressure, new energy
vehicles (NEVs) are regarded as a strategic emerging industry in China, as its industrial …

Leveraging on the theoretical integration of stimulus-organism-response (SOR) theory,
stakeholder theory, and self-consistency theory, an investigation is undertaken to explore …

What are the spillover effects of the Russia-Ukraine conflict? Are there other effects besides
leading to an energy crisis? We analyze the impact of the Russia-Ukraine conflict on …

As a combination of the differential equation prediction model and intelligent optimization
algorithm, the grey intelligent prediction algorithm has attracted increasing attention due to …

Air passenger flow forecasting plays a critical role in managing air transportation. It is
important to develop accurate methods for forecasting the flow of passengers to formulate …

As a sparse data analysis algorithm, ensuring a reasonable model structure is an important
challenge for grey models to identify the control mechanism of the uncertain system from …