Modelling and Optimisation of Biodiesel Production from Margarine Waste Oil Using a Three-Dimensional Machine Learning Approach-Reference-Cited by-同舟云学术

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Modelling and Optimisation of Biodiesel Production from Margarine Waste Oil Using a Three-Dimensional Machine Learning Approach

Published:2024-08-31 Issue: Volume:22 Page:27
ISSN:
Container-title:The 3rd International Electronic Conference on Processes
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Author:

Mwenge Pascal¹^ORCID,Rutto Hilary¹,Seodigeng Tumisang¹^ORCID

Affiliation:

1. Clean Technology and Applied Materials Research Group, Department of Chemical and Metallurgical Engineering, Vaal University of Technology, Private Bag X021, Vanderbijlpark 1900, South Africa

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/67/1/27/pdf

Reference15 articles.

1. Mwenge, P., Dlamini, N., Rutto, H., and Seodigeng, T. (2019, January 5–7). Biodiesel production from waste margarine using homogeneous catalyst Potassium Hydroxide. Proceedings of the 14th PARIS International Conference on Agriculture, Biological & Environmental Sciences (PABE-19), Paris, France.

2. Optimising biodiesel production from waste with computational chemistry, machine learning and policy insights: A review;Osman;Environ. Chem. Lett.,2024

3. Optimization and Deep Learning Modeling of the Yield and Properties of Baobab-Derived Biodiesel Catalyzed by Waste Banana Bunch Stalk Biochar;Elendu;ACS Omega,2024

4. Production of Biodiesel using Calcined Brine Sludge Waste from Chor-Alkali Industry as a Heterogeneous Catalyst;Mwenge;Environ. Clim. Technol.,2021

5. In Situ Real-Time Multivariate Analysis of Methanolysis Monitoring of Sunflower Oil Using FTIR;Mwenge;Int. J. Chem. Mol. Eng.,2020

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