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Introduction
Time series forecasting
Skills and Expertise
Publications
Publications (6)
Seasonal demand forecasting is critical for effective supply chain management. However, conventional forecasting methods face difficulties in accurately estimating seasonal variations, owing to time-varying demand trends and limited data availability. In this paper, we propose a Fourier time-varying grey model (FTGM) to tackle this issue. The FTGM...
CO2 emissions from the transportation sector occupy an increasingly important proportion in China’s carbon dioxide emissions. Measuring the accumulative impact of factors on carbon emissions over time is of great significance for formulating corresponding policies. This paper aims to propose a novel time-delay multivariate grey model to measure the...
Purpose
Hazard assessment on drought disaster is of great significance for improving drought risk management. Due to the complexity and uncertainty of the drought disaster, the index values have some grey multi-source heterogeneous characteristics. The purpose of this paper is to construct a grey projection incidence model (GPIM) to evaluate the h...