Forecasting Electricity Price During Extreme Events Using a Hybrid Model of Lstm and Arima Architecture

AuthID
 P-016-T3Z
3
Author(s)
4
Editor(es)
Filipe,J;Smialek,M;Brodsky,A;Hammoudi,S
Tipo de Documento
Proceedings Paper
Year published
2024
Publicado
in ENTERPRISE INFORMATION SYSTEMS, ICEIS 2023, PT I in Lecture Notes in Business Information Processing, ISSN: 1865-1348
Volume: 518, Páginas: 310-329 (20)
Conference
25Th International Conference on Enterprise Information Systems (Iceis), Date: APR 24-26, 2023, Location: Prague, CZECH REPUBLIC
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Publication Identifiers
SCOPUS: 2-s2.0-85200733204
Wos: WOS:001329123900015
Source Identifiers
ISSN: 1865-1348
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