Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning
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DOI: 10.1016/j.renene.2022.02.124
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Cited by:
- Díez Valbuena, G. & García Tuero, A. & Díez, J. & Rodríguez, E. & Hernández Battez, A., 2024. "Application of machine learning techniques to predict biodiesel iodine value," Energy, Elsevier, vol. 292(C).
- Moradkhani, Mohammad Amin & Hosseini, Seyyed Hossein & Song, Mengjie & Teimoori, Khalil, 2024. "Comprehensive data-driven methods for estimating the thermal conductivity of biodiesels and their blends with alcohols and fossil diesels," Renewable Energy, Elsevier, vol. 221(C).
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Keywords
Cetane number; Cold filter plugging point; Oxidative stability; Support vector machines; Extreme gradient boost; Particle-swarm optimization;All these keywords.
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