Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods
- Santiago Porras 1
- Esteban Jove 2
- Bruno Baruque 1
- José Luis Calvo-Rolle 2
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1
Universidad de Burgos
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2
Universidade da Coruña
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- Hugo Sanjurjo González (coord.)
- Iker Pastor López (coord.)
- Pablo García Bringas (coord.)
- Héctor Quintián (coord.)
- Emilio Corchado (coord.)
Editorial: Springer International Publishing AG
ISBN: 978-3-030-86271-8, 978-3-030-86270-1
Año de publicación: 2021
Páginas: 500-510
Congreso: Hybrid Artificial Intelligent Systems (HAIS) (16. 2021. Bilbao)
Tipo: Aportación congreso
Resumen
The environmental impact caused by greenhouse gasses emissions derived from fossil fuels, gives rise to the promotion of green policies. In this context, geothermal energy systems has experienced a significant increase in its use. The efficiency of this technology is closely linked with factors such as ground temperature, weather and season. This work develops the analysis of the behaviour of a geothermal system placed in a bioclimatic house during one year, by means of projectionists and clustering methods.