Dynamic Simulation of Natural Gas Transmission Pipeline Systems through Autoregressive Neural Networks-Reference-Cited by-同舟云学术

Dynamic Simulation of Natural Gas Transmission Pipeline Systems through Autoregressive Neural Networks

Published:2021-07-01 Issue:27 Volume:60 Page:9851-9859
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Fakhroleslam Mohammad¹^ORCID,Bozorgmehry Boozarjomehry Ramin²^ORCID,Sahlodin Ali M.³,Sin Gürkan⁴^ORCID,Mansouri Seyed Soheil⁴^ORCID

Affiliation:

1. Process Engineering Department, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran 14115-111, Iran

2. Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran 11365-11155, Iran

3. Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 159163-4311, Iran

4. Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c00802

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4. Modeling and state estimation for gas transmission networks

5. Response of natural gas distribution pipeline networks to ambient temperature variation (unsteady simulation)

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