An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

Nowadays, modelling, automation and control are widely used for Water Resource Recovery Facilities (WRRF) upgrading and optimization. Influent generator (IG) models are used to provide relevant input time series for dynamic WRRF simulations used in these applications. Current IG models found in lite...

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Bibliographic Details
Main Authors: Feiyi Li, Peter A. Vanrolleghem
Format: Article
Language:English
Published: IWA Publishing 2022-03-01
Series:Water Science and Technology
Subjects:
digitalization
lstm
machine learning
nsga-ii
variability
wastewater modelling
Online Access:http://wst.iwaponline.com/content/85/5/1444

Internet

http://wst.iwaponline.com/content/85/5/1444

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