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Daily Load Forecasting Using Explainable AI-Driven Method With Integrated Error Correlation

; ; ; ; ; ;

In
Nepal 13, Seiten/Artikel-Nr.:207496-207510

ImpressumNew York, NY : IEEE

ISSN2169-3536

Online
DOI: 10.1109/ACCESS.2025.3640843

DOI: 10.18154/RWTH-2026-04174
URL: https://publications.rwth-aachen.de/record/1033473/files/1033473.pdf

Einrichtungen

  1. Lehrstuhl für Automation of Complex Power Systems (616310)
  2. E.ON Energy Research Center (080052)


Thematische Einordnung (Klassifikation)
DDC: 621.3

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105024081780
WOS Core Collection: WOS:001641531500028

Interne Identnummern
RWTH-2026-04174
Datensatz-ID: 1033473

Beteiligte Länder
Germany, Nepal, South Korea, Thailand

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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080052
616310
 Record created 2026-04-14, last modified 2026-04-17
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