Applying modeling, simulation and machine learning for the renewable energy transition
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Berlin, Technische Universität Berlin, Dissertation, 2023
- Klassifikation
-
Natürliche Ressourcen, Energie und Umwelt
- Schlagwort
-
Netzstabilität
Dezentrale Elektrizitätserzeugung
Erneuerbare Energien
Elektrizitätsversorgungsnetz
Komplexes System
- Ereignis
-
Veröffentlichung
- (wo)
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Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
-
Schöll, Eckehard
Hellmann, Frank
Lüdge, Kathy
Boers, Niklas
Schöll, Eckehard
- DOI
-
10.14279/depositonce-18257
- Handle
-
11303/19460
- URN
-
urn:nbn:de:101:1-2023080207131221781400
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
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Beteiligte
- Lindner, Michael
- Schöll, Eckehard
- Hellmann, Frank
- Lüdge, Kathy
- Boers, Niklas
- Technische Universität Berlin
Entstanden
- 2023
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