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

F, Li; PA, Vanrolleghem

doi:10.2166/wst.2022.048

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

Shared by NobleBlocks on Mar 1, 2022 • 12:00 AM UTC

Authors:

Li F

Vanrolleghem PA

Abstract

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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