Prediction of hourly solar radiation using an Artificial Neural Network model in a district of Peru

  1. Huamani, J.A.R.
  2. Villanueva, U.R.
  3. Ccoyllo, O.S.
  4. Sequera, J.L.C.
  5. Pulido, J.M.G.
Proceedings:
Iberian Conference on Information Systems and Technologies, CISTI

ISSN: 2166-0735,  2166-0727

ISBN: 9789893347928

Year of publication: 2023

Volume: 2023-June

Type: Conference paper

DOI: 10.23919/CISTI58278.2023.10211948 GOOGLE SCHOLAR

Sustainable development goals

Data source: Scopus