Energy consumption prediction in water treatment plants using deep learning with data augmentation-Reference-Cited by-同舟云学术

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Energy consumption prediction in water treatment plants using deep learning with data augmentation

Published:2023-12 Issue: Volume:20 Page:101428
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Harrou Fouzi^ORCID,Dairi Abdelkader,Dorbane Abdelhakim,Sun Ying

Publisher

Elsevier BV

Subject

General Engineering

Reference53 articles.

1. Energy issues in sustainable urban wastewater management: use, demand reduction and recovery in the urban water cycle;Capodaglio;Sustainability,2019

2. Nanoparticle for degradation of btex in produced water; an experimental procedure;Sheikholeslami;J. Mol. Liq.,2018

3. Review of water treatment methods with a focus on energy consumption;Grzegorzek;Int. Commun. Heat Mass Transf.,2023

4. Monitoring and diagnosis of energy consumption in wastewater treatment plants. a state of the art and proposals for improvement;Longo;Appl. Energy,2016

5. Forecasting bacteriological presence in treated drinking water using machine learning;Kyritsakas;Front. Water,2023

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