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An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production

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成果类型:
期刊论文
作者:
Liu, Chong;Lao, Tongfei;Wu, Wen-Ze;Xie, Wanli;Zhu, Hegui
通讯作者:
Zhu, HG
作者机构:
[Liu, Chong; Lao, Tongfei; Zhu, Hegui] Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China.
[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
[Xie, Wanli] Nanjing Normal Univ, Inst EduInfo Sci & Engn, Nanjing 210097, Peoples R China.
通讯机构:
[Zhu, HG ] N
Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China.
语种:
英文
关键词:
Algorithms;Grey Bernoulli model;Natural gas production;The weighted fractional accumulation generation operation
期刊:
Expert Systems with Applications
ISSN:
0957-4174
年:
2022
卷:
194
页码:
116448
基金类别:
Natural Science Foundation of Liaoning ProvinceNatural Science Foundation of Liaoning Province [2020-MS-080]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [N2005032]; National Key R&D Program of China [2017YFF0108800]
机构署名:
本校为其他机构
院系归属:
经济与工商管理学院
摘要:
Natural gas, an efficient, eco-friendly and clean green energy, has become one of the important energy structures of various countries in the world, accurately predicting the production of natural gas can help the national energy agency solve “gas shortage” problem. To accurately predict natural gas production in China, this paper establishes an optimized grey system model with weighted fractional accumulation generation operation (abbreviated as WFNGBM(1,1,N)). The proposed model has all the advantages of the GMP(1,1,N) model, NGBM(1,1) mode...

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