Super-learner model realizes the transient prediction of CO2 and NOx of diesel trucks: Model development, evaluation and interpretation

Super-learner model realizes the transient prediction of CO2 and NOx of diesel trucks: Model development, evaluation and interpretation

The transient simulation of CO2 and NOX from motor vehicles has essential applications in evaluating vehicular greenhouse gas emissions and pollutant emissions. However, accurately estimating vehicular transient emissions is challenging due to the heterogeneity between different vehicles and the con...

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Bibliographic Details
Main Authors: Ning Wei, Qijun Zhang, Yanjie Zhang, Jiaxin Jin, Junyu Chang, Zhiwen Yang, Chao Ma, Zhenyu Jia, Chunzhe Ren, Lin Wu, Jianfei Peng, Hongjun Mao
Format: article
Language:EN
Published: Elsevier 2022
Subjects:
Vehicle transient emission model
Machine learning
Super-learner model
China VI N2 vehicle
Environmental sciences
GE1-350
Online Access:https://doaj.org/article/fe8b88fd567e4987b0ffeafc29c95805
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