Machine learning-driven prediction of diesel engine performance parameters fueled with Karanja biodiesel blends using XGBoost algorithm

The need forreliable predictive models for alternative fuels in diesel engines has motivated this investigation to improve engine performance with Karanja biodiesel blends. In this study, the experiments are conducted on a single-cylinder diesel engine to evaluate performance parameters, including i...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Rashid Khan, Brahma Nand Agrawal, Sudhir Kumar Singh
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2026-07-01
Sarja:	Next Energy
Aiheet:	Machine learning XGBoost Renewable fuel Karanja biodiesel Diesel engine Performance Parameters
Linkit:	http://www.sciencedirect.com/science/article/pii/S2949821X2600205X
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