Multi-agent reinforcement learning-enhanced autonomous calibration method for wastewater treatment modeling: Long-term validation of a full-scale plant-Reference-Cited by-同舟云学术

Multi-agent reinforcement learning-enhanced autonomous calibration method for wastewater treatment modeling: Long-term validation of a full-scale plant

Published:2024-03 Issue: Volume:59 Page:104908
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Nam KiJeon,Heo SungKu,Tariq Shahzeb,Woo TaeYong,Yoo ChangKyoo

Funder

Ministry of Environment

Ministry of Education - Singapore

National Research Foundation of Korea

Publisher

Elsevier BV

Reference55 articles.

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3. The use of respirometry as a tool for the diagnosis of waste water treatment plants. A real case study in Southern Spain;Arias-Navarro;J. Water Process Eng.,2019

4. Plant-wide modeling and optimization of a large-scale WWTP using BioWin’s ASDM model;Elawwad;J. Water Process Eng.,2019

5. Calibration of a complex activated sludge model for the full-scale wastewater treatment plant;Liwarska-Bizukojc;Bioprocess Biosyst. Eng.,2011

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