Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.

Journal article

Peer reviewed

Andrea Menapace, BM Brentan, R Sitzenfrei and M Herrera

Water Research, Vol.242, 120264

242

2023

Handle:

https://hdl.handle.net/10863/38802

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url

https://www.sciencedirect.com/science/article/pii/S0043135423007005View

Title: Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.
Creators: Andrea Menapace - Free University of Bozen-Bolzano
BM Brentan - Universidade Federal de Minas Gerais
R Sitzenfrei - Universität Innsbruck
M Herrera - University of Cambridge
Publication Details: Water Research, Vol.242, 120264
ISSN: 0043-1354
EISSN: 1879-2448
Series / Volume: 242
Publisher: Elsevier
Number of pages: 13
Identifiers: (UNIBZ)70216850
991006716597801241
Web of Science ID: WOS:001035705900001
Scopus ID: 2-s2.0-85163815452
Academic Unit: Faculty of Engineering
Language: English
Resource Type: Journal article
Author Names String: Zanfei A, Menapace A, Brentan BM, Sitzenfrei R, Herrera M

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