Improving short-term water demand forecasting using evolutionary algorithms

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Improving short-term water demand forecasting using evolutionary algorithms ; volume:12 ; number:1 ; day:8 ; month:8 ; year:2022 ; pages:1-25 ; date:12.2022
Scientific reports ; 12, Heft 1 (8.8.2022), 1-25, 12.2022

Classification: Natürliche Ressourcen, Energie und Umwelt

Creator: Stańczyk, Justyna
Kajewska-Szkudlarek, Joanna
Lipiński, Piotr
Rychlikowski, Paweł

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-17177-0

URN: urn:nbn:de:101:1-2022102420421497029828

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Stańczyk, Justyna
Kajewska-Szkudlarek, Joanna
Lipiński, Piotr
Rychlikowski, Paweł
SpringerLink (Online service)

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Improving short-term water demand forecasting using evolutionary algorithms

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