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.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call