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THEME D: Numerical and Experimental Methods - Hydroinformatics
Time:
Tuesday, 04/June/2024:
1:30pm - 3:00pm
Session Chair: José Pedro Matos Session Chair: Elsa Alves
Location:Main Auditorium
max 275 pax
Presentations
Oral presentation
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
Oral presentation
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 Grau2,3, 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
Oral presentation
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
Oral presentation
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
Oral presentation
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
Oral presentation
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
