A novel zone-based machine learning approach for the prediction of the performance of industrial flares-Reference-Cited by-同舟云学术

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A novel zone-based machine learning approach for the prediction of the performance of industrial flares

Published:2022-06 Issue: Volume:162 Page:107795
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Lou Helen H.,Fang Jian,Gai Huilong,Xu Richard,Lin Sidney

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference44 articles.

1. A risk-based approach to determination of optimal inspection intervals for buried oil pipelines;Abubakirov;Process Saf. Environ. Prot.,2020

2. Orbital Interactions in Chemistry;Albright,2013

3. Allen, D.T., Torres, V.M., 2011. TCEQ 2010 flare study final report. Austin, TX.

4. Allen, D.T., Torres, V.M., 2011. TCEQ 2010 flare study final report - appendices. Austin, TX.

5. Response surface modeling and setpoint determination of steam- and air-assisted flares;Alphones;Environ. Eng. Sci.,2020

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