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Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels
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In
Special Issue "Big Data and Advanced Analytics in Energy Systems and Applications" / Special Issue Editors: Prof. Dr. Constantinos S. Psomopoulos, Guest Editor; Dr. Helen C. Leligou, Guest Editor; Prof. Dr. Ferdinanda Ponci, Guest Editor; Prof. Dr. Josep M. Guerrero, Guest Editor; Prof. Dr. Elisa Peñalvo-López, Guest Editor
In
Energies 14(21), Seiten/Artikel-Nr.:7128
2021
Online
DOI: 10.18154/RWTH-2021-11913
DOI: 10.3390/en14217128
URL: https://publications.rwth-aachen.de/record/837298/files/837298.pdf
Einrichtungen
- Lehrstuhl für Automation of Complex Power Systems (616310)
- E.ON Energy Research Center (080052)
- Lehrstuhl für Wirtschaftswissenschaften, insb. Energieökonomik (816110)
Projekte
Inhaltliche Beschreibung (Schlagwörter)
day-ahead market (frei) ; energy flexibility (frei) ; load forecasting (frei) ; supply security (frei) ; time series (frei)
Thematische Einordnung (Klassifikation)
DDC: 620
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85118592823
WOS Core Collection: WOS:000723181200001
Interne Identnummern
RWTH-2021-11913
Datensatz-ID: 837298
Beteiligte Länder
Germany, Norway
Related:
Book
Special Issue "Big Data and Advanced Analytics in Energy Systems and Applications"
Energies (2021)
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