A seasonal grey model for forecasting energy imports demand from information differences perspective DOI
Weijie Zhou, Jiaxin Chang,

Weizhen Zuo

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: unknown, P. 115907 - 115907

Published: Dec. 1, 2024

Language: Английский

Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model DOI
Song Ding, Juntao Ye, Zhijian Cai

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123720 - 123720

Published: Sept. 4, 2024

Language: Английский

Citations

8
The development trend of China’s marine economy: a predictive analysis based on industry level DOI Creative Commons
Yu Chen,

Huahan Zhang,

Lingling Pei

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 10, 2025

This paper aims to provide insights into the future trends for marine industries in China, by forecasting added value key sectors and then offering tailored policy recommendations. Those economic indicators at industry level are characterized small sample sizes, sectoral heterogeneity, irregular fluctuations, which require a specialized methodology handle data features predictions each industry. To address these issues, conformable fractional grey model ( CFGM ), integrates accumulation with model, is applied proven effective through accuracy robustness tests. First, results from multi-step experiments demonstrate that significantly outperforms traditional statistical, machine learning models, models context of predictions, an average improvement 32.14%. Second, stability predictive values generated further verified Probability Density Analysis PDA ) multiple comparisons best MCB tests, thereby ruling out possibility accurate result mere chance. Third, used estimate across industries, accompanied suggestions ensure sustainable development economy.

Language: Английский

Citations

0
Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial–Temporal Information Fusion DOI

Song Ding,

Yi Wang, Xingao Shen

et al.

Computational Economics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

0
A novel damping discrete grey model with time-polynomial term for forecasting monthly natural gas consumption DOI
Ying Zhao, Tao Zhang,

Jie Xu

et al.

Grey Systems Theory and Application, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Purpose This study aims to design a novel seasonal discrete grey model for forecasting monthly natural gas consumption by incorporating damping accumulation and time-polynomial term. Design/methodology/approach Considering the principle of new information priority nonlinear patterns in original series consumption, we establish adding term into existing model. In addition, order coefficient time-power can be determined moth flame optimization (MFO) algorithm. Findings The empirical cases show that proposed has better prediction performance when compared with other benchmark models, including six one statistical artificial intelligent Based on forecasts, considered promising tool (NGC) US. Originality/value By combining term, improving is proposed. properties are given, newly-designed initially applied predict NGC

Language: Английский

Citations

0
A novel nonlinear time-varying grey prediction framework for green transformation of manufacturing industry: Modeling of a non-equidistant perspective DOI
Shiwei Zhou, Yufeng Zhao, Xuemei Li

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111068 - 111068

Published: March 1, 2025

Language: Английский

Citations

0
Using ZSG-DEA and inverse DEA to predict resource allocation for road traffic safety in China DOI
Ying Zhao,

Jiang-Hong Zhu,

Yanwei Zhang

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Comparative Time Series Analysis of SARIMA, LSTM, and GRU Models for Global SF6 Emission Management System DOI

Ganime Tuğba ÖNDER

Journal of Atmospheric and Solar-Terrestrial Physics, Journal Year: 2024, Volume and Issue: unknown, P. 106393 - 106393

Published: Dec. 1, 2024

Language: Английский

Citations

1
A seasonal grey model for forecasting energy imports demand from information differences perspective DOI
Weijie Zhou, Jiaxin Chang,

Weizhen Zuo

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: unknown, P. 115907 - 115907

Published: Dec. 1, 2024

Language: Английский

Citations

0