Artificial Intelligence and Machine Learning Can Make Potable Reuse Projects More Resilient.
In: Journal: American Water Works Association, Jg. 116 (2024-07-01), Heft 6, S. 70-74
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Zugriff:
Artificial intelligence (AI) and machine learning (ML) have the potential to improve the management of potable reuse projects and assets. Traditional control logic and conservative set points can lead to revenue losses and operational challenges. Recent research has shown that AI/ML can be used to predict pipe failures in water distribution networks, and this approach can be applied to potable reuse projects. By using data obtained from pilot-scale potable reuse treatment trains, AI/ML can predict important factors such as reverse osmosis permeate total organic carbon (TOC) and nitrite-nitrogen (NO2-N) concentrations. The study demonstrated that AI/ML is a powerful tool that can enhance critical controls, operational decisions, and public confidence in potable reuse projects. [Extracted from the article]
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Titel: |
Artificial Intelligence and Machine Learning Can Make Potable Reuse Projects More Resilient.
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Autor/in / Beteiligte Person: | Erdal, Ufuk ; Erdal, Ozan |
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Zeitschrift: | Journal: American Water Works Association, Jg. 116 (2024-07-01), Heft 6, S. 70-74 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0003-150X (print) |
DOI: | 10.1002/awwa.2303 |
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