The current energy crisis coupled with concerns about climate change make renewable energies a priority. Solar energy being one of the most representative in Spain, being able to predict the behavior of a solar energy panel in the short term can be very useful to determine the coverage of this energy. To achieve this goal, four regression techniques in combination with a clustering algorithm have been applied, with the aim of predicting the solar energy generation of a panel during the year 2011 in the autonomous region of Galicia (Spain). A data set with continuous information has been used and it has been possible to validate the best way to combine regression and clustering techniques to achieve the best prediction.
CITATION STYLE
Arroyo, Á., Quintian, H., Calvo-Rolle, J. L., Basurto, N., & Herrero, Á. (2022). A HAIS Approach to Predict the Energy Produced by a Solar Panel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13469 LNAI, pp. 195–207). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15471-3_18
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