Applying a neural network-based approach for estimating instantaneous emissions of the heavy-duty buses: A case study-Reference-Cited by-同舟云学术

Applying a neural network-based approach for estimating instantaneous emissions of the heavy-duty buses: A case study

Published:2022-09-05 Issue:3 Volume:44 Page:8012-8023
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Le Anh-Tuan¹,Nguyen Yen-Lien T.²,Duc Khanh Nguyen¹,Nghiem Trung-Dung³^ORCID,Pham Huu-Tuyen¹^ORCID,Bui Ngoc-Dung⁴

Affiliation:

1. Department of Vehicle and Energy Conversion Engineering, School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Faculty of Transport Safety and Environment, University of Transport and Communications, Hanoi, Vietnam

3. School of Environmental Science and Technology, Hanoi University of Science and Technology, Hanoi, Viet Nam

4. Faculty of Information Technology, University of Transport and Communications, Hanoi, Vietnam

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2118903

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4. Characterisation and source apportionment of fine particulate sources at Hanoi from 2001 to 2008

5. Ertuna, L. 2016. Prediction of vehicle fuel consumption using feed-forward artificial neural network model. Working Paper.

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