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...

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Bibliografische Detailangaben

Hauptverfasser:	Rashid Khan, Brahma Nand Agrawal, Sudhir Kumar Singh
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-07-01
Schriftenreihe:	Next Energy
Schlagworte:	Machine learning XGBoost Renewable fuel Karanja biodiesel Diesel engine Performance Parameters
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2949821X2600205X
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