Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review

JYX Ling, YJ Chan, JW Chen, DJS Chong… - … Science and Pollution …, 2024 - Springer
Biogas plant operators often face huge challenges in the monitoring, controlling and
optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding …

[HTML][HTML] A systematic review of machine-learning solutions in anaerobic digestion

H Rutland, J You, H Liu, L Bull, D Reynolds - Bioengineering, 2023 - mdpi.com
The use of machine learning (ML) in anaerobic digestion (AD) is growing in popularity and
improves the interpretation of complex system parameters for better operation and …

[HTML][HTML] Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: insights using a …

TS Gendy, RA El-Salamony, MM Alrashed, A Bentalib… - Molecular …, 2024 - Elsevier
This study investigates the molecular dynamics of methane dry reforming catalyzed by a
novel nickel-strontium-zirconium-aluminum (5Ni+ 3Sr/10Zr+ Al) catalyst, leveraging both …

Multi-objective optimization for microbial electrolysis cell-assisted anaerobic digestion of swine manure

L Zou, X Zhao, K Wu, C Liang, J Liu, H Yang… - International Journal of …, 2024 - Elsevier
As a new technology, microbial electrolysis cell-assisted anaerobic digestion (MEC-AD) has
been applied to the utilization of swine manure. Methane production and total energy …

[HTML][HTML] Industrial-scale anaerobic Co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) for maximizing methane yield: An integrated machine …

YTJ Hoon, YJ Chan, YK Wan, YK Goh, SK Yazdi - Energy, 2024 - Elsevier
This study employs machine learning (ML) algorithms, including multiple linear regression
(MLR), decision tree (DT) and support vector regression (SVR) to predict the methane yield …

[HTML][HTML] Derivation of optimal operation factors of anaerobic digesters through artificial neural network technology

Y Bao, R Koutavarapu, TG Lee - Systems, 2023 - mdpi.com
The anaerobic digestion of sewage sludge in South Korean wastewater treatment plants is
affected by seasonal factors and other influences, resulting in lower digestion efficiency and …

Renewable bioenergy from palm oil mill effluent (POME): A sustainable solution for net-zero emissions in palm oil production

SK Bhatia, AK Patel, B Ravindran, YH Yang - Journal of Water Process …, 2025 - Elsevier
Palm oil industries have an important role in economic development. The palm oil industry's
wastewater known as palm oil mill effluent (POME), is high in organic content and poses a …

Artificial Neural Network-driven Optimization of Fe3O4 Nanoparticles/PVDF Macrospheres in Fenton-like System for Methylene Blue Degradation

MS Osman, K Khairudin, H Hassan… - Journal of Advanced …, 2024 - akademiabaru.com
Efficient degradation of industrial dyes remains a critical challenge in environmental
engineering. This study introduces a novel Fe 3 O 4 nanoparticles/PVDF macrospheres in a …

Incorporation of OA-APTES-MWCNTs into PS/PVP membranes for VMD desalination: Membrane composition optimization via Box–Behnken method

MB Eynolghasi, F Khodadadi, T Mohammadi… - Journal of Industrial and …, 2025 - Elsevier
The hydrophobicity of the membrane is paramount in membrane distillation (MD). In this
study, novel hydrophobic oleic acid-3-aminopropyltriethoxysilane-functionalized multi …

Konya atıksu arıtma tesisinde anaerobik çürütme ünitesinin yapay zeka kullanılarak optimizasyonu

A Saleh - 2024 - search.proquest.com
Metan üretiminin artırılması, atık su arıtma tesislerinin kendi kendine yeterliliğinin
artırılmasında çok önemlidir ve anaerobik çürütme, enerji geri kazanım ünitesi olarak hizmet …