A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters

  1. Elomari, Y.
  2. Mateu, C.
  3. Marín-Genescà, M.
  4. Boer, D.
Revista:
Applied Energy

ISSN: 0306-2619

Any de publicació: 2024

Volum: 358

Tipus: Article

DOI: 10.1016/J.APENERGY.2024.122619 GOOGLE SCHOLAR lock_openAccés obert editor

Objetivos de desarrollo sostenible

Font de les dades: Scopus