Forecasting of wind turbine synthetic signals based on convolutional neural networks

  1. Blanco, C.
  2. Sierra-García, J.E.
  3. Santos, M.
Aldizkaria:
Renewable Energy and Power Quality Journal

ISSN: 2172-038X

Argitalpen urtea: 2023

Alea: 21

Orrialdeak: 482-486

Mota: Artikulua

DOI: 10.24084/REPQJ21.365 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus