Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)

Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)

In recent years, machine learning (ML) techniques have been developed to predict the performance of anaerobic digestion (AD) processes including methane potential and reactor stability. However, their practical applications to industrial-scale palm oil mill effluent (POME) treatment plant are limite...

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Main Authors: Chong, D.J.S., Chan, Y.J., Arumugasamy, S.K., Yazdi, S.K., Lim, J.W.
Format: Article
Published: 2023
Online Access:http://scholars.utp.edu.my/id/eprint/34116/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144812527&doi=10.1016%2fj.energy.2022.126449&partnerID=40&md5=f8d5f0b08adf2c6aae6dd9078c1198c8
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Institution: Universiti Teknologi Petronas

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http://scholars.utp.edu.my/id/eprint/34116/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144812527&doi=10.1016%2fj.energy.2022.126449&partnerID=40&md5=f8d5f0b08adf2c6aae6dd9078c1198c8

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