Gast ::
Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators
; ; ;
In
Computers & chemical engineering 166, Seiten/Artikel-Nr.:107923
2022
Online
DOI: 10.1016/j.compchemeng.2022.107923
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 660
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85137721774
WOS Core Collection: WOS:000864670400004
Interne Identnummern
RWTH-2022-09980
Datensatz-ID: 855084
Beteiligte Länder
Germany
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