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A Hybrid Intelligent Modeling approach for predicting the s..:
Arroyo Puente, Ángel
;
Basurto Hornillos, Nuño
;
Casado Vara, Roberto Carlos
..
Neurocomputing. 2024, V. 565, 126997. , 2024
Link:
http://hdl.handle.net/10259/8249
RT Journal T1
A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
UL https://suche.suub.uni-bremen.de/peid=base-ftunivburgosir:oai:riubu.ubu.es:10259_8249&Exemplar=1&LAN=DE A1 Arroyo Puente, Ángel A1 Basurto Hornillos, Nuño A1 Casado Vara, Roberto Carlos A1 Timiraos, Míriam A1 Calvo-Rolle, José Luis PB Elsevier YR 2024 K1 Regression K1 Neural network K1 Solar Energy K1 Renewable energy K1 Clustering K1 Informática K1 Computer science JF Neurocomputing. 2024, V. 565, 126997 LK http://hdl.handle.net/10259/8249 DO http://hdl.handle.net/10259/8249 SF ELIB - SuUB Bremen
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