Very short-term wind power density forecasting through artificial neural networks for microgrid control

  1. Rodríguez, F.
  2. Florez-Tapia, A.M.
  3. Fontán, L.
  4. Galarza, A.
Journal:
Renewable Energy

ISSN: 1879-0682,  0960-1481

Year of publication: 2020

Volume: 145

Pages: 1517-1527

Type: Article

DOI: 10.1016/J.RENENE.2019.07.067 GOOGLE SCHOLAR

Sustainable development goals

Data source: Scopus