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Forecasting fuel combustion-related CO2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer

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成果类型:
期刊论文
作者:
Xie, Wanli;Wu, Wen-Ze*;Liu, Chong;Zhang, Tao;Dong, Zijie
通讯作者:
Wu, Wen-Ze
作者机构:
[Xie, Wanli] Nanjing Normal Univ, Inst EduInfo Sci & Engn, Nanjing 210097, Peoples R China.
[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
[Liu, Chong] Inner Mongolia Agr Univ, Sch Sci, Hohhot 010018, Peoples R China.
[Zhang, Tao] Guangxi Univ Sci & Technol, Sch Sci, Liuzhou 545006, Peoples R China.
[Dong, Zijie] Hubei Univ, Fac Math & Stat, Wuhan 430062, Peoples R China.
通讯机构:
[Wu, Wen-Ze] C
Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
CO2 emissions;Conformable fractional differential derivative;Fuel combustion;Nonlinear grey Bernoulli model
期刊:
Environmental Science and Pollution Research
ISSN:
0944-1344
年:
2021
卷:
28
期:
28
页码:
38128-38144
基金类别:
Fundamental Research Funds for the Central Universities of ChinaFundamental Research Funds for the Central Universities [2019YBZZ062]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11861014]; Natural Science Foundation of GuangxiNational Natural Science Foundation of Guangxi Province [2018GXNSFAA281145, 2020GXNSFAA297225]; Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX20 1144]
机构署名:
本校为通讯机构
院系归属:
经济与工商管理学院
摘要:
Foresight of CO2 emissions from fuel combustion is essential for policy-makers to identify ready targets for effective reduction plans and to further improve energy policies and plans. A new method for forecasting the future development of China’s CO2 emissions from fuel combustion is proposed in this paper by using grey forecasting theory. Although the existing fractional nonlinear grey Bernoulli model (denoted as FNGBM(1,1)) has been theoretically proven to enhance the adaptability to diverse sequences, its fixed integer-order differential d...

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