Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis-Reference-Cited by-同舟云学术

Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis

Published:2024-02 Issue: Volume:58 Page:104758
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Cechinel Maria Alice Prado,Neves Juliana,Fuck João Vitor Rios,de Andrade Rodrigo Campos,Spogis Nicolas,Riella Humberto Gracher,Padoin Natan,Soares Cintia

Funder

Ministério da Ciência, Tecnologia e Inovação

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Reference110 articles.

1. Coupling process-based modeling with machine learning for long-term simulation of wastewater treatment plant operations;Wu;J. Environ. Manag.,2023

2. Prediction analysis of a wastewater treatment system using a Bayesian network;Li;Environ. Model Softw.,2013

3. Towards the formulation of rural sewage discharge standards in China;Xie;Sci. Total Environ.,2021

4. Data-driven performance analyses of wastewater treatment plants: A review;Newhart;Water Res.,2019

5. Effluent quality prediction in papermaking wastewater treatment processes using dynamic Bayesian networks;Zhang;J. Clean. Prod.,2021

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