A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

  1. Ghimire, S.
  2. Nguyen-Huy, T.
  3. AL-Musaylh, M.S.
  4. Deo, R.C.
  5. Casillas-Pérez, D.
  6. Salcedo-Sanz, S.
Zeitschrift:
Energy

ISSN: 0360-5442

Datum der Publikation: 2023

Ausgabe: 275

Art: Artikel

DOI: 10.1016/J.ENERGY.2023.127430 GOOGLE SCHOLAR lock_openOpen Access editor

Ziele für nachhaltige Entwicklung

Datenquelle: Scopus