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Graph convolutional recurrent neural network for water demand forecasting

Lookup NU author(s): Dr Manuel HerreraORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Publication metadata

Author(s): Zanfei A, Brentan BM, Menapace A, Righetti M, Herrera M

Publication type: Article

Publication status: Published

Journal: Water Resources Research

Year: 2022

Volume: 58

Issue: 7

Online publication date: 11/07/2022

Acceptance date: 01/07/2022

Date deposited: 20/09/2024

ISSN (print): 0043-1397

ISSN (electronic): 1944-7973

Publisher: Wiley-Blackwell Publishing, Inc.

URL: https://doi.org/10.1029/2022WR032299

DOI: 10.1029/2022WR032299

Data Access Statement: The authors would also like to thank Novareti S.P.A for providing the data for this study for research purposes. Interested parties can ask directly to Novareti S.P.A or contact the authors.


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Funding

Funder referenceFunder name
Free University of Bozen-Bolzano

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