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A Data Drift Approach To Update Deployed Energy Prediction Machine Learning Models

AuthID
P-017-D9C

Author(s)

Teixeira, H

Matta, A

Pilastri, A

Ferreira, L

Pereira, P

Gonçalves, C

Cortez, P

Editor(s)

Santos,MF;Machado,J;Novais,P;Cortez,P;Moreira,PM

Document Type

Proceedings Paper

Year published

2025

Published

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 14969 LNAI, Pages: 151-162 (11)

Conference

23Rd Epia Conference on Artificial Intelligence, Epia 2024, Date: 3 September 2024 through 6 September 2024, Location: Viana do Castelo

Indexing

Scopus^®

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Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-73503-5_13

Scopus: 2-s2.0-85210427625

Source Identifiers

ISSN: 0302-9743

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A Data Drift Approach To Update Deployed Energy Prediction Machine Learning Models

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