A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD) for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change. However, conducting comprehensive research on the optimal conditions for AD experiments with bio...

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Bibliographic Details
Main Author:	Zhang, Pengshuai (author)
Other Authors:	Zhang, Tengyu (author), Zhang, Jingxin (author), Liu, Huaiyou (author), Chicaiza Ortiz, Cristhian David (author), Lee, Jonathan T. E. (author), He, Yiliang (author), Dai, Yanjun (author), Tong, Yen Wah (author)
Format:	article
Published:	2024
Subjects:	Anaerobic digestion Biomass-based biochar Machine learning Bioenergy recovery
Online Access:	https://doi.org/10.1007/s43979-023-00078-0 http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/798
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A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

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