Real-time model predictive control of a wastewater treatment plant based on machine learning
Two separate goals should be jointly pursued in wastewater treatment: nutrient removal and energy conservation. An efficient controller performance should cope with process uncertainties, seasonal variations and process nonlinearities. This paper describes the design and testing of a model predictiv...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 81(2020), 11 vom: 30. Juni, Seite 2391-2400
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| 1. Verfasser: |
Bernardelli, A
(VerfasserIn) |
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| Weitere Verfasser: |
Marsili-Libelli, S,
Manzini, A,
Stancari, S,
Tardini, G,
Montanari, D,
Anceschi, G,
Gelli, P,
Venier, S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article
Waste Water |
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