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On the Necessity of Exogenous Variables for Load, PV and Wind Day-Ahead Forecasts using Recurrent Neural Networks

; ;

In
2018 IEEE Electrical Power and Energy Conference (EPEC) : 2018 IEEE Electrical Power and Energy Conference (EPEC) took place 10-11 October 2018 in Toronto, ON, Canada / IEEE Canada ; publisher: IEEE, Seiten/Artikel-Nr: 6 Seiten

Konferenz/Event:2018 IEEE Electrical Power and Energy Conference , Toronto, ON , Canada , EPEC , 2018-10-10 - 2018-10-11

ImpressumPiscataway, NJ : IEEE

Umfang6 Seiten

ISBN978-1-5386-5418-7, 978-1-5386-5419-4, 978-1-5386-5420-0

Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University. - Datenträger: USB-Stick

Online
DOI: 10.18154/RWTH-2019-02259
DOI: 10.1109/EPEC.2018.8598329

URL: https://publications.rwth-aachen.de/record/756155/files/756155.pdf

Einrichtungen

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


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print, data medium

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85061909777
WOS Core Collection: WOS:000458814200032
OpenAlex: W2909813883

Interne Identnummern
RWTH-2019-02259
Datensatz-ID: 756155

Beteiligte Länder
Germany

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Document types > Books > Contributions to a book
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080052
616310
 Record created 2019-03-05, last modified 2026-10-06
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