Usage overview, prediction, and siting optimization for electric vehicles public charging infrastructure with machine learning and big data methods
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2023
- Keyword
-
Elektrofahrzeug
Batteriefahrzeug
Elektromobilität
Hybridantrieb
Vehicle to Grid
Hybridfahrzeug
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
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Universitätsbibliothek der RWTH Aachen
- (when)
-
2023
- Creator
- Contributor
- DOI
-
10.18154/RWTH-2023-11220
- URN
-
urn:nbn:de:101:1-2024013000344387569322
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hecht, Christopher
- Sauer, Dirk Uwe
- Marinelli, Mattia
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2023
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Usage overview, prediction, and siting optimization for electric vehicles public charging infrastructure with machine learning and big data methods
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Usage overview, prediction, and siting optimization for electric vehicles public charging infrastructure with machine learning and big data methods
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