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A Comparative Analysis of Automated Machine Learning Libraries for Electricity Price Forecasting Cover

A Comparative Analysis of Automated Machine Learning Libraries for Electricity Price Forecasting

Applied Computer Systems
Volume 29 (2024): Issue 2 (December 2024)
By: Christian O’Leary,  Conor Lynch and  Farshad Ghassemi Toosi  
Open Access
|Dec 2024

Authors

Christian O’Leary

christian.oleary@mtu.ie

Department of Computer Science, Munster Technological University, Cork, Ireland

Conor Lynch

conor.lynch@mtu.ie

Nimbus Research Centre, Munster Technological University, Cork, Ireland

Farshad Ghassemi Toosi

farshad.toosi@mtu.ie

Department of Computer Science, Munster Technological University, Cork, Ireland
DOI: https://doi.org/10.2478/acss-2024-0020 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 43 - 52
Submitted on: Apr 24, 2024
|
Accepted on: Oct 11, 2024
|
Published on: Dec 6, 2024
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Artificial intelligence,
deep learning,
forecasting,
machine learning
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2024 Christian O’Leary, Conor Lynch, Farshad Ghassemi Toosi, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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