Reinforcement learning-based DSS for coagulant and disinfectant dosage selection on drinking water treatment plants

Reinforcement learning-based DSS for coagulant and disinfectant dosage selection on drinking water treatment plants

The treatments to be applied for water purification must be dynamically adaptable to the raw water conditions. Currently, treatments are applied based on standards that are not optimized for the circumstances of each drinking water treatment plant (DWTP), neither for critical events. This paper pres...

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Bibliographic Details
Main Authors: Aída Álvarez Díez, Rocío Pena Rois, Iulian Mocanu, Claudia Orzan, Cristian Brebenel, Jiru Stere, Santiago Muíños Landín, Juan Manuel Fernández Montenegro
Format: Article
Language:English
Published: IWA Publishing 2024-01-01
Series:Water Supply
Subjects:
ai
decision support
drinking water
reinforcement learning
treatments
water quality
Online Access:http://ws.iwaponline.com/content/24/1/86

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http://ws.iwaponline.com/content/24/1/86

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