Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution

  1. Schröder, K.
  2. Farias, G.
  3. Dormido-Canto, S.
  4. Fabregas, E.
Revue:
Energies

ISSN: 1996-1073

Année de publication: 2024

Volumen: 17

Número: 11

Type: Article

DOI: 10.3390/EN17112709 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus