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Multi-task learning for the prediction of wind power ramp events with deep neural networks.
Dorado-Moreno, M; Navarin, N; Gutiérrez, P A; Prieto, L; Sperduti, A; Salcedo-Sanz, S; Hervás-Martínez, C.
Afiliação
  • Dorado-Moreno M; Department of Computer Science and Numerical Analysis, University of Cordoba, Córdoba, Spain. Electronic address: manuel.dorado@uco.es.
  • Navarin N; Department of Computer Science, University of Nottingham, Nottingham, United Kingdom; Department of Mathematics, University of Padova, Padova, Italy. Electronic address: nnavarin@math.unipd.it.
  • Gutiérrez PA; Department of Computer Science and Numerical Analysis, University of Cordoba, Córdoba, Spain. Electronic address: pagutierrez@uco.es.
  • Prieto L; Department of Energy Resource, Iberdrola, Madrid, Spain.
  • Sperduti A; Department of Mathematics, University of Padova, Padova, Italy. Electronic address: sperduti@math.unipd.it.
  • Salcedo-Sanz S; Department of Signal Processing and Communications, University of Alcalá, Alcalá de Henares, Spain. Electronic address: sancho.salcedo@uah.es.
  • Hervás-Martínez C; Department of Computer Science and Numerical Analysis, University of Cordoba, Córdoba, Spain. Electronic address: chervas@uco.es.
Neural Netw ; 123: 401-411, 2020 Mar.
Article em En | MEDLINE | ID: mdl-31926464
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fontes Geradoras de Energia / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fontes Geradoras de Energia / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article