Assessing new intra-daily temperature-based machine learning models to outperform solar radiation predictions in different conditions

JUAN ANTONIO BELLIDO JIMÉNEZAMANDA PENÉLOPE GARCÍA MARÍNJAVIER ESTÉVEZ GUALDA2026-01-292026-01-29202110.1016/j.apenergy.2021.1172112-s2.0-85110378076https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/33677Building and ConstructionEnergy (all)Management, Monitoring, Policy and LawMechanical EngineeringRenewable Energy, Sustainability and the EnvironmentAssessing new intra-daily temperature-based machine learning models to outperform solar radiation predictions in different conditionsresearch article