Optimizing dissolved oxygen requirement and energy consumption in wastewater treatment plant aeration tanks using machine learning-Reference-Cited by-同舟云学术

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Optimizing dissolved oxygen requirement and energy consumption in wastewater treatment plant aeration tanks using machine learning

Published:2022-12 Issue: Volume:50 Page:103237
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Qambar Abdulaziz Sami,Al Khalidy Mohammed Majid

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Waste Management and Disposal,Safety, Risk, Reliability and Quality,Biotechnology

Reference29 articles.

1. World Urbanization Prospects - The 2018 Revision. United Nations Department of Economic and Social Affairs, Population Division,2019

2. "World Population Prospects 2019," United Nations, New York, 2019b. United Nations. (2019b). World Population Prospects,2019

3. A review of energy optimization modelling tools for the decarbonisation of wastewater treatment plants;Nakkasunchi,2021

4. Wastewater Engineering Treatment and Resources Recovery;Abu-Orf,2015

5. Wastewater treatment aeration process optimization: a data mining approach;Asadi,2017

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