An innovative nonlinear grey system model with generalized fractional operators and its application DOI

Jianguo Zheng,

Meixin Huang,

Jiale Zhang

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 125, P. 463 - 479

Published: April 22, 2025

Language: Английский

Contribution of potential clean trucks in carbon peak pathway of road freight based on scenario analysis: A case study of China DOI Creative Commons

Xizhao Zhang,

Xu Hao, Yang Liu

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 379, P. 134669 - 134669

Published: Oct. 14, 2022

Reducing the carbon emissions from trucks is critical to achieving peak of road freight. Based on prediction truck population and well-to-wheel (WTW) emission analysis traditional diesel potential clean including natural gas, battery-electric, plug-in hybrid electric, hydrogen fuel cell, paper analyzed total greenhouse gas (GHG) China's freight under four scenarios, baseline, policy facilitation (PF), technology breakthrough (TB), PF-TB. The 2021 2035 predicted based regression by selecting data 2002 2020 main variables, such as GDP scale, turnover, volume, number trucks. study forecasts different segments, mini-duty (MiDT), light-duty (LDT), medium-duty (MDT), heavy-duty (HDT). Relevant WTW are collected adopted popular in market, PHEVs have better intensity, especially HDT field, which reduces 51% compared with ICEVs. Results show that scenario TB PF-TB can reach 0.13% 1.5% GHG reduction per year. In contrast, baseline PF fail due only focusing while lacking restrictions factors energy ignoring improvement trucks' efficiency, increased 29.76% 16.69% respectively 2020. As insights, adopting has an important but limited effect, should coordinate transition low energy, melioration China.

Language: Английский

Citations

32
Prospect and sustainability prediction of China's new energy vehicles sales considering temporal and spatial dimensions DOI

Taiyu Ning,

Bingquan Lu,

Xingyu Ouyang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 468, P. 142926 - 142926

Published: June 18, 2024

Language: Английский

Citations

6
A novel multivariate grey model for forecasting periodic oscillation time series DOI
Yaoguo Dang, Yifan Zhang, Junjie Wang

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 211, P. 118556 - 118556

Published: Aug. 19, 2022

Language: Английский

Citations

28
Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model DOI
Flavian Emmanuel Sapnken, Jean Gaston Tamba

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 203, P. 117579 - 117579

Published: May 13, 2022

Language: Английский

Citations

27
An entropy-based TOPSIS and optimized grey prediction model for spatiotemporal analysis in strategic emerging industry DOI
Song Ding, Ruojin Li,

Junha Guo

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 119169 - 119169

Published: Nov. 6, 2022

Language: Английский

Citations

27
Forecasting of Automobile Sales Based on Support Vector Regression Optimized by the Grey Wolf Optimizer Algorithm DOI Creative Commons

Fei Qu,

Yi-ting Wang, Wen-hui Hou

et al.

Mathematics, Journal Year: 2022, Volume and Issue: 10(13), P. 2234 - 2234

Published: June 26, 2022

With the development of Internet and big data, more consumer behavior data are used in different forecasting problems, which greatly improve performance prediction. As main travel tool, sales automobiles will change with variations market external environment. Accurate prediction automobile can not only help dealers adjust their marketing plans dynamically but also economy transportation sector make policy decisions. The is a product high value involvement, its purchase decision be affected by own attributes, economy, other factors. Furthermore, sample have characteristics various sources, great complexity large volatility. Therefore, this paper uses Support Vector Regression (SVR) model, has global optimization, simple structure, strong generalization abilities suitable for multi-dimensional, small to predict monthly automobiles. In addition, parameters optimized Grey Wolf Optimizer (GWO) algorithm accuracy. First, grey correlation analysis method analyze determine factors that affect sales. Second, it build GWO-SVR model. Third, experimental carried out using from Suteng Kaluola Chinese car segment, proposed model compared four commonly methods. results show best mean absolute percentage error (MAPE) root square (RMSE). Finally, some management implications put forward reference.

Language: Английский

Citations

24
A novel grey Bass extended model considering price factors for the demand forecasting of European new energy vehicles DOI
Xue Li, Xinping Xiao, Huan Guo

et al.

Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 34(14), P. 11521 - 11537

Published: Feb. 24, 2022

Language: Английский

Citations

23
Marine and land economy–energy–environment systems forecasting by novel structural-adaptive fractional time-delay nonlinear systematic grey model DOI
Xuemei Li, Shiwei Zhou, Yufeng Zhao

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 126, P. 106777 - 106777

Published: July 21, 2023

Language: Английский

Citations

16
Charging station forecasting and scenario analysis in China DOI
Bingchun Liu,

Jiangji Song,

Qingshan Wang

et al.

Transport Policy, Journal Year: 2023, Volume and Issue: 139, P. 87 - 98

Published: June 6, 2023

Language: Английский

Citations

13
A novel grey seasonal model based on cycle accumulation generation for forecasting energy consumption in China DOI
Weijie Zhou,

Jiao Pan,

Huihui Tao

et al.

Computers & Industrial Engineering, Journal Year: 2021, Volume and Issue: 163, P. 107725 - 107725

Published: Oct. 6, 2021

Language: Английский

Citations

28