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A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts

AuthID
P-00X-94K

Author(s)

Ramos, D

Editor(es)

Marreiros,G;Martins,B;Paiva,A;Ribeiro,B;Sardinha,A

Tipo de Documento

Proceedings Paper

Year published

2022

Publicado

in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022 in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743

Volume: 13566, Páginas: 271-281 (11)

Conference

21St Epia Conference on Artificial Intelligence (Epia), Date: AUG 31-SEP 02, 2022, Location: Univ Lisbon, Lisbon, PORTUGAL, Patrocinadores: EPIA, Host: Univ Lisbon

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Publication Identifiers

DOI: 10.1007/978-3-031-16474-3_23

SCOPUS: 2-s2.0-85138687454

Wos: WOS:000869745400023

Source Identifiers

ISSN: 0302-9743

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A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts

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