A data-driven forecasting strategy to predict continuous hourly energy demand in smart buildings

  1. Mariano-Hernández, D.
  2. Hernández-Callejo, L.
  3. Solís, M.
  4. Zorita-Lamadrid, A.
  5. Duque-Perez, O.
  6. Gonzalez-Morales, L.
  7. Santos-García, F.
Zeitschrift:
Applied Sciences (Switzerland)

ISSN: 2076-3417

Datum der Publikation: 2021

Ausgabe: 11

Nummer: 17

Art: Artikel

DOI: 10.3390/APP11177886 GOOGLE SCHOLAR lock_openOpen Access editor