Application of the three-parameter discrete direct grey model to forecast China’s natural gas consumption-Reference-Cited by-同舟云学术

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Application of the three-parameter discrete direct grey model to forecast China’s natural gas consumption

Published:2022-10-13 Issue:6 Volume:27 Page:3213-3228
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zhou Wenhao,Zeng Bo,Wu You,Wang Jianzhou,Li Hailin,Zhang Zhiwei

Funder

national natural science foundation of china

scientific and technology research project of chongqing education commission

natural science foundation of chongqing

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-07523-9.pdf

Reference54 articles.

1. Ahmad H, Hayat N (2020) Markov chain based modelling and prediction of natural gas allocation structure in Pakistan. Int J Energy Sect Manag 14(5):911–933

2. Beyca OF, Ervural BC, Tatoglu E, Ozuyar PG, Zaim S (2019) Using machine learning tools for forecasting natural gas consumption in the province of Istanbul. Energy Econ 80:937–949

3. Boran FE (2015) Forecasting natural gas consumption in Turkey using grey prediction. Energy Sour Part B 10(2):208–213

4. Burns K (2021) An investigation into changes in the elasticity of U.S. residential natural gas consumption: a time-varying approach. Energy Economics 99:105253

5. Chen HB, Pei LL, Zhao YF (2021) Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach. Energy 222:119952

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