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Jianhua Liu

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

126

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

A transient temporal feature-augmented data-driven model for high-precision prediction of instantaneous fuel consumption in commercial vehicles

Number of pages: 18 Posted: 26 Nov 2025
Dafeng Song, Daokun Bi, Xiaohua Zeng and Jianhua Liu
Jilin University (JLU), Jilin University (JLU), Jilin University (JLU) and affiliation not provided to SSRN
Downloads 52 (1,052,702)

Abstract:

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Commercial vehicles, Transient fuel consumption prediction, Temporal feature augmentation, machine learning, Data-driven modeling, Energy management

2.

Data-driven modeling of transient fuel consumption in commercial vehicles with temporal feature augmentation

Number of pages: 18 Posted: 22 Dec 2025
Dafeng Song, Daokun Bi, Xiaohua Zeng and Jianhua Liu
Jilin University (JLU), affiliation not provided to SSRN, Jilin University (JLU) and affiliation not provided to SSRN
Downloads 43 (1,170,409)

Abstract:

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Transient fuel consumption prediction, data-driven modeling, Temporal feature augmentation, Machine learning, Commercial vehicles, Fuel efficiency

A Data-Mechanism Approach of Transient Fuel Consumption Deterioration Characteristics in Commercial Vehicles

Number of pages: 18 Posted: 01 Aug 2025
Dafeng Song, Daokun Bi, Xiaohua Zeng and Jianhua Liu
affiliation not provided to SSRN, Jilin University (JLU), affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 19 (1,525,626)

Abstract:

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Data mechanism integration, Commercial vehicle transient conditions, Fuel consumption deterioration mechanism and influencing factors

A Data-Mechanism Approach of Transient Fuel Consumption Deterioration Characteristics in Commercial Vehicles

Number of pages: 18 Posted: 06 Aug 2025
Dafeng Song, Daokun Bi, Xiaohua Zeng and Jianhua Liu
affiliation not provided to SSRN, Jilin University (JLU), affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 12 (1,598,105)

Abstract:

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Data mechanism integration, Commercial vehicle transient conditions, Fuel consumption deterioration mechanism and influencing factors