Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network-Reference-Cited by-同舟云学术

Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network

Published:2024-05 Issue: Volume:294 Page:130919
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Ye Jiahao,Yang Wenming^ORCID,Peng Qingguo,Liu Haili

Funder

Guizhou University

Guizhou Province Department of Science and Technology

Publisher

Elsevier BV

Reference65 articles.

1. Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China;Ren;Energy,2020

2. A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China;Ren;Renew Sustain Energy Rev,2021

3. The total cost of electric vehicle ownership: a consumer-oriented study of China's post-subsidy era;Ouyang;Energy Pol,2021

4. Research and optimization of hydrogen addition and EGR on the combustion, performance, and emission of the biodiesel-hydrogen dual-fuel engine with different loads based on the RSM;Zhang;Heliyon,2024

5. NO emission performance assessment on a perforated plate-implemented premixed ammonia-oxygen micro-combustion system;Cai;Chem Eng J,2021

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