Renewable energy stocks forecast using Twitter investor sentiment and deep learning

  1. Herrera, G.P.
  2. Constantino, M.
  3. Su, J.-J.
  4. Naranpanawa, A.
Revue:
Energy Economics

ISSN: 0140-9883

Année de publication: 2022

Volumen: 114

Type: Article

DOI: 10.1016/J.ENECO.2022.106285 GOOGLE SCHOLAR
La source de données: Scopus