Usage overview, prediction, and siting optimization for electric vehicles public charging infrastructure with machine learning and big data methods
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2023
- Schlagwort
-
Elektrofahrzeug
Batteriefahrzeug
Elektromobilität
Hybridantrieb
Vehicle to Grid
Hybridfahrzeug
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2023-11220
- URN
-
urn:nbn:de:101:1-2024013000344387569322
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Hecht, Christopher
- Sauer, Dirk Uwe
- Marinelli, Mattia
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2023
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