Optimisation and economic analysis of industrial-scale anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) using machine learning models: A comparative study of Gradient Boosting Machines (GBM), K-nearest neighbours (KNN), and random forest (RF)

Yang, Pang Bo and Chan, Yi Jing and Yazdi, Sara Kazemi and Lim, Jun Wei (2024) Optimisation and economic analysis of industrial-scale anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) using machine learning models: A comparative study of Gradient Boosting Machines (GBM), K-nearest neighbours (KNN), and random forest (RF). Journal of Water Process Engineering, 58. ISSN 22147144

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Item Type:	Article
Impact Factor:	Cited by: 12; All Open Access, Hybrid Gold Open Access
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	19 Aug 2025 11:24
Last Modified:	19 Aug 2025 11:24
URI:	http://scholars.utp.edu.my/id/eprint/38389

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