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.
Revue:
Energy

ISSN: 0360-5442

Année de publication: 2023

Volumen: 275

Type: Article

DOI: 10.1016/J.ENERGY.2023.127430 GOOGLE SCHOLAR lock_openAccès ouvert editor

Objectifs de Développement Durable