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.
Zeitschrift:
Energies

ISSN: 1996-1073

Datum der Publikation: 2024

Ausgabe: 17

Nummer: 11

Art: Artikel

DOI: 10.3390/EN17112709 GOOGLE SCHOLAR lock_openOpen Access editor