A novel structured discrete grey Gompertz multivariable prediction model and its application

Jianming Jiang, Zhenxia Liang, Yingpan Gan and Yandong Ban

Mathematics and Computers in Simulation (MATCOM), 2026, vol. 240, issue C, 208-225

Abstract: In this study, a conformable Hausdorff accumulation generation operation is designed, and the grey Gompertz model is extended to a multivariable form. Additionally, a time power term is introduced as the grey action quantity in the model. Finally, through discretization, a novel structured discrete grey Gompertz multivariable prediction model is constructed. By incorporating the Gompertz function into the multivariable grey prediction model and adopting a more flexible accumulation generation operation, the proposed model enhances its adaptability, thereby improving its predictive capability. Furthermore, the Particle Swarm Optimization algorithm is employed to optimize the hyperparameters within the model. To validate the effectiveness of the model,the proposed framework is compared with six multivariable grey prediction models and four machine learning prediction methods in forecasting China’s annual energy consumption and total retail sales of consumer goods. Multiple evaluation metrics are used to comprehensively assess the predictive performance of each model. Experimental results demonstrate that the proposed model outperforms all competing algorithms across all evaluation indicators, further confirming its effectiveness.

Keywords: Conformable Hausdorff accumulation generation operation; Grey prediction model; NSDGGMPM model; Particle swarm optimization algorithm (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475425002885
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:240:y:2026:i:c:p:208-225

DOI: 10.1016/j.matcom.2025.07.021

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().