Prediction of diesel cetane number based on physicochemical properties and hydrocarbon compositions using XGBoost model

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.138634
Affiliations:
3
Authors:
5
Go to article
Institutions Authors Share
Central South University (CSU), China
3.500000
 0.70
Hunan University (HNU), China
1.000000
 0.20
Jining University (JNXY), China
0.500000
 0.10
Interested in Chemical Engineering?