guest ::
Big Data Reference Architecture for the Energy Sector
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In
Sustainability of Smart Energy Networks: Pathway for Achieving a Green Smart Energy Network—2nd Edition / Special Issue Editors: Prof. Dr. Francesco Calise, Guest Editor; Dr. Maria Vicidomini, Guest Editor; Dr. Francesco Liberato Cappiello, Guest Editor
In
Sustainability 17(14), Seiten/Artikel-Nr.:6488
2025
Online
DOI: 10.3390/su17146488
DOI: 10.18154/RWTH-2025-06648
URL: https://publications.rwth-aachen.de/record/1015928/files/1015928.pdf
Einrichtungen
- Lehrstuhl für Automation of Complex Power Systems (616310)
- E.ON Energy Research Center (080052)
- Fraunhofer-Institut für Angewandte Informationstechnik - FIT (053300)
Projekte
Thematische Einordnung (Klassifikation)
DDC: 690
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105011619212
WOS Core Collection: WOS:001535942100001
Interne Identnummern
RWTH-2025-06648
Datensatz-ID: 1015928
Beteiligte Länder
Germany
Related:
Contribution to a book/Contribution to a conference proceedings
The BD4NRG Reference Architecture for Big Data Driven Energy Applications
The 13th International Conference on Information, Intelligence, Systems and Applications : 18-20 July 2022, Corfu, Greece / IISA
13. International Conference on Information, Intelligence, Systems & Applications, IISA 2022, CorfuCorfu, Greece, 18 Jul 2022 - 20 Jul 2022
[Piscataway, NJ] : IEEE 8 Seiten (2022) [10.1109/IISA56318.2022.9904424]
BibTeX |
EndNote:
XML,
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RIS
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PDF