Building suitable datasets for soft computing and machine learning techniques from meteorological data integration: A case study for predicting significant wave height and energy flux

JUAN CARLOS FERNÁNDEZ CABALLEROPEDRO ANTONIO GUTIÉRREZ PEÑACESAR HERVAS MARTINEZ2026-01-292026-01-29202110.3390/en140204682-s2.0-85104713571https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/33284Control and OptimizationElectrical and Electronic EngineeringEnergy (miscellaneous)Energy Engineering and Power TechnologyEngineering (miscellaneous)Fuel TechnologyRenewable Energy, Sustainability and the EnvironmentBuilding suitable datasets for soft computing and machine learning techniques from meteorological data integration: A case study for predicting significant wave height and energy fluxresearch article