Optimization of denitrification carbon source, nitrification aeration and coagulants dosing with artificial intelligence in full-scale municipal wastewater treatment

Conventional AI modeling is often faced with inherent nonlinearity and complex dynamics of industrial wastewater treatment. This work presents a successfully implemented data driven machine-learning AI for process optimization in full-scale wastewater treatment. Tapping on real-time detections from...

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Автори:	De-Yang Show, Hui Guo, Zi-Han Ling, Jun Zhang, Zheng-Jun Zhai, Ding-Lei Zhong, Log-Ling Lee, Duu-Jong Lee, Kuan-Yeow Show
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2025-09-01
Серія:	Results in Engineering
Предмети:	AI Cost-effective Data driven machine-learning Full-scale Optimization Self-adaptive
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2590123025029421
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