Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach

Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach

Biogas production through anaerobic digestion (AD) of industrial organic waste and wastewater offers a sustainable method for energy recovery. However, since process efficiency heavily relies on operational factors, continuous monitoring of the AD process and the implementation of necessary operatio...

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Bibliographic Details
Main Authors: M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
anaerobic digestion
biogas production
machine learning
support vector regression (SVR)
wastewater treatment
Online Access:https://doi.org/10.1088/2515-7620/ade03b
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https://doi.org/10.1088/2515-7620/ade03b

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