| Utilizing Machine Learning for Sustainable Biofuel Conversion | |||||||||
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Utilizing Machine Learning for Sustainable Biofuel Conversion Machine learning holds the potential to enhance the production of sustainable biofuels. This review examines current machine learning applications used to predict biofuel yield and composition. While existing models perform well, the study identifies their limitations in adapting to different feedstocks and conditions. The review suggests strategies to develop more versatile models and emphasizes systematic datasets for improving the practicality of machine learning-based modeling for biofuel production.
About the authors Prof. Jong Ho Moon: Department of Chemical Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Republic of Korea |
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