Integration of selected AI methods into a simulation tool for urban wastewater systems – towards practical application-Reference-Cited by-同舟云学术

Integration of selected AI methods into a simulation tool for urban wastewater systems – towards practical application

Published:2024-06-01 Issue:6 Volume:72 Page:547-563
ISSN:0178-2312
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Ogurek Michael¹,Alex Jens¹,Schütze Manfred¹

Affiliation:

1. Department Water & Energy , Institut für Automation und Kommunikation e.V. , Denkfabrik im Wissenschaftshafen, Werner-Heisenberg-Straße 1, 39106 Magdeburg , Germany

Abstract

Abstract State-of-the-art modelling tools and dynamic simulations have become important tools for planning and operational decision making in the environmental sector, including wastewater treatment plants. Due to increasing regulatory requirements (energy savings, treatment performance, GHG footprint), the practical application of these instruments is becoming more challenging. AI methods could be a solution to support users in the application of domain-specific modelling and simulation tools. This contribution presents first steps towards the integration of the AI methods Bayesian Networks (BN) and Artificial Neural Networks (ANN) into a modelling and simulation tool for urban waste water systems, including example applications.

Funder

German Federal Ministry for Economic Affairs and Climate Action

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/auto-2023-0236/pdf

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