Towards good modelling practice for parallel hybrid models for wastewater treatment processes

Towards good modelling practice for parallel hybrid models for wastewater treatment processes

This study explores various approaches to formulating a parallel hybrid model (HM) for Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven model. In the study, the HM is constructed by training a neural network (NN) on the residual of the mechanistic model for effl...

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Bibliographic Details
Main Authors: Loes Verhaeghe, Jan Verwaeren, Gamze Kirim, Saba Daneshgar, Peter A. Vanrolleghem, Elena Torfs
Format: Article
Language:English
Published: IWA Publishing 2024-06-01
Series:Water Science and Technology
Subjects:
biological wastewater treatment
convolutional neural network
data-driven model
long short-term memory
mechanistic model
wrrf
Online Access:http://wst.iwaponline.com/content/89/11/2971

Internet

http://wst.iwaponline.com/content/89/11/2971

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