RT info:eu-repo/semantics/article
T1 A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
A1 Arroyo Puente, Ángel
A1 Basurto Hornillos, Nuño
A1 Casado Vara, Roberto Carlos
A1 Timiraos, Míriam
A1 Calvo-Rolle, José Luis
K1 Regression
K1 Neural network
K1 Solar Energy
K1 Renewable energy
K1 Clustering
K1 Informática
K1 Computer science
AB There is no doubt that the European Union is undergoing an ecological transition, with renewable energiesaccounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is one of these rapidly expanding renewable sources. This study analyzes the solar energy production of a panel in the Spanish region of Galicia. It has been demonstrated that the solar energy produced by this panel can be predicted using a hybrid stepwise system. The missing value imputation is a key step in the process. This involves combining regression and clustering techniques on different subdivisions of the complete dataset, starting with a smaller and less complete dataset and performing appropriate imputations to create a larger and more complete collection. Finally, the dataset is divided into more relevant subsets for regression analysis to calculate the amount of solar energy generated. The imputing missing values using an Artificial Neural Network resulted in a more valid dataset for further processing than eliminating rows with corrupted or empty values. Also, properly applying clustering techniques gives better results than working on the whole dataset.
PB Elsevier
SN 0925-2312
YR 2024
FD 2024-01
LK http://hdl.handle.net/10259/8249
UL http://hdl.handle.net/10259/8249
LA eng
NO Míriam Timiraos’s research was supported by the “Xunta de Galicia” (Regional Government of Galicia), Spain through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04_IN606D_2022_2692965.  Funding for open access charge: Universidade da Coruña/CISUG.  CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).
DS Repositorio Institucional de la Universidad de Burgos
RD 04-dic-2024