Conference Agenda

From hindcast to forecast with distributional neural networks in water demand forecasting

Gregor Johnen¹, André Niemann¹, Alexander Hutwalker², Christoph Donner³

¹Institute of Hydraulic Engineering and Water Resources Management, University of Duibsurg-Essen, Germany; ²Harzwasserwerke GmbH, Hildesheim, Germany; ³Berliner Wasserbetriebe, Berlin, Germany

AI-Anomaly Project: Condition Assessment of Urban Water Assets through the Detection of Cracks based on Artificial Intelligence Methods

Marta Cabral¹, José Pedro Matos¹, Ana Silva¹, Jónatas Valença¹, Isel Grau^2,3, Tiago Correia¹

¹CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal; ²Information Systems Group, Eindhoven University of Technology, The Netherlands; ³Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, The Netherlands

Generalizing hydraulic-based graph neural networks to irregular meshes and time-varying boundary conditions

Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, Riccardo Taormina

Delft University of Technology, The Netherlands

Optimization of supervised learning chain models for monthly flow prediction

Jadran Berbić¹, Eva Ocvirk²

¹Technical High School Sibenik, Republic of Croatia; ²Faculty of Civil Engineering, University of Zagreb, Republic of Croatia

Modelling the velocity coefficient α for the optimization of discharge estimation by non-contact techniques

Francesco Alongi, Carmelo Nasello, Calogero Mattina, Dario Pumo, Leonardo Valerio Noto

University of Palermo, Italy

Application of machine learning techniques for the generation of optimal layouts in branched water networks

Roberto del Teso, Elena Gómez, Álvaro R. Montaña, Elvira Estruch-Juan

Universitat Politècnica de València, Spain