Advanced machine learning approach using Kolmogorov-Arnold Networks (KANs) and comparison with RSM for optimization of biodiesel yield from palm based waste cooking oil

The increasing environmental concerns associated with fossil fuels have intensified the demand for sustainable and renewable energy sources such as biodiesel. In this study, biodiesel production from palm-based waste cooking oil was optimized using Response Surface Methodology (RSM) and a Kolmogorov...

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Bibliografische gegevens

Hoofdauteurs:	Abdul Rehman, Zhang Yunhe, Ding Zhou, Fayaz Hussain, Luqman Razzaq, Meor Faisal Zulkifli, Bee Chin Ang, Nurin Wahidah Binti Mohd Zulkifli
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2026-08-01
Reeks:	Case Studies in Thermal Engineering
Onderwerpen:	Waste cooking oil Transesterification Response surface methodology (RSM) Kolmogorov-Arnold Networks (KANs) Process optimization Machine learning
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2214157X26006714
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