Chaotic simulation of the multi-phase reinforced thermo-elastic disk using GDQM-Reference-Cited by-同舟云学术

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Chaotic simulation of the multi-phase reinforced thermo-elastic disk using GDQM

Published:2020-08-25 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Al-Furjan M. S. H.,Habibi Mostafa,rahimi Alireza,Chen Guojin,Safarpour Hamed,Safarpour Mehran,Tounsi Abdelouahed

Funder

National Natural Science Foundation of China

The Outstanding Young Teachers Fund of Hangzhou Dianzi University

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-020-01144-2.pdf

Reference141 articles.

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2. Zhu B, Ye S, Jiang M, Wang P, Wu Z, Xie R, Chevallier J, Wei Y-M (2019) Achieving the carbon intensity target of China: a least squares support vector machine with mixture kernel function approach. Appl Energy 233:196–207

3. Zhu B, Su B, Li Y (2018) Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08–2013/14. Appl Energy 230:1545–1556

4. Cao Y, Wang Q, Cheng W, Nojavan S, Jermsittiparsert K (2020) Risk-constrained optimal operation of fuel cell/photovoltaic/battery/grid hybrid energy system using downside risk constraints method. Int J Hydro Energy 45:14108–14118

5. Cao Y, Wang Q, Fan Q, Nojavan S, Jermsittiparsert K (2020) Risk-constrained stochastic power procurement of storage-based large electricity consumer. J Energy Storage 28:101183

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