- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-994X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Autoencoder for wind power prediction ; volume:4 ; number:1 ; day:16 ; month:12 ; year:2017 ; pages:1-11 ; date:12.2017
Renewables: wind, water, and solar ; 4, Heft 1 (16.12.2017), 1-11, 12.2017
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
- Urheber
-
Tasnim, Sumaira
- Beteiligte Personen und Organisationen
-
Rahman, Ashfaqur
Oo, Amanullah Maung Than
Enamul Haque, Md
SpringerLink (Online service)
- DOI
-
10.1186/s40807-017-0044-x
- URN
-
urn:nbn:de:1111-2018021119546
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
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Beteiligte
- Tasnim, Sumaira
- Rahman, Ashfaqur
- Oo, Amanullah Maung Than
- Enamul Haque, Md
- SpringerLink (Online service)
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