ESG guidance and artificial intelligence support for power systems analytics in the energy industry
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
ESG guidance and artificial intelligence support for power systems analytics in the energy industry ; volume:14 ; number:1 ; day:18 ; month:5 ; year:2024 ; pages:1-13 ; date:12.2024
Scientific reports ; 14, Heft 1 (18.5.2024), 1-13, 12.2024
- Klassifikation
-
Wirtschaft
- Urheber
-
Li, Qingjiang
Zou, Guilin
Zeng, Wenlong
Gao, Jie
He, Feipeng
Zhang, Yujun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-61491-8
- URN
-
urn:nbn:de:101:1-2407291150275.773606008417
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
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Beteiligte
- Li, Qingjiang
- Zou, Guilin
- Zeng, Wenlong
- Gao, Jie
- He, Feipeng
- Zhang, Yujun
- SpringerLink (Online service)
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