Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study

This paper proposes a novel targeted blend of machine learning (ML) based approaches for controlling wastewater treatment plant (WWTP) operation by predicting distributions of key effluent parameters of a biological nutrient removal (BNR) process. Two years of data were collected from Plajyolu waste...

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Veröffentlicht in:	Journal of environmental management 2024-02, Vol.351, p.119899-119899, Article 119899
Hauptverfasser:	Manav-Demir, Neslihan, Gelgor, Huseyin Baran, Oz, Ersoy, Ilhan, Fatih, Ulucan-Altuntas, Kubra, Tiwary, Abhishek, Debik, Eyup
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence Biological nutrient removal (BNR) process case studies environmental performance Machine learning Machine learning algorithms Municipal wastewater treatment prediction wastewater treatment
Online-Zugang:	Volltext
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