Day-ahead probabilistic photovoltaic power forecasting models based on quantile regression neural networks

  1. Fernandez-Jimenez, L.A.
  2. Terreros-Olarte, S.
  3. Mendoza-Villena, M.
  4. Garcia-Garrido, E.
  5. Zorzano-Alba, E.
  6. Lara-Santillan, P.M.
  7. Zorzano-Santamaria, P.J.
  8. Falces, A.
Proceedings:
Proceedings - 2017 European Conference on Electrical Engineering and Computer Science, EECS 2017

ISBN: 9781538620854

Year of publication: 2018

Pages: 289-294

Type: Conference paper

DOI: 10.1109/EECS.2017.60 GOOGLE SCHOLAR
Institutional repository: lock_openOpen access Editor