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Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

Crossref DOI link: https://doi.org/10.1016/j.energy.2015.04.039

Published Print: 2015-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Jurado, Sergio https://orcid.org/0000-0003-0086-6341
Nebot, Àngela

Mugica, Fransisco

Avellana, Narcís
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Article Title: Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

Journal Title: Energy

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.energy.2015.04.039

Content Type: article

Copyright: Copyright © 2015 Elsevier Ltd. All rights reserved.