Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization

Currently, there is great interest in reducing the consumption of fossil fuels (and other non-renewable energy sources) in order to preserve the environment; smart buildings are commonly proposed for this purpose as they are capable of producing their own energy and using it optimally. However, at t...

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Hlavní autoři:	José-Luis Casteleiro-Roca, Pablo Chamoso, Esteban Jove, Alfonso González-Briones, Héctor Quintián, María-Isabel Fernández-Ibáñez, Rafael Alejandro Vega Vega, Andrés-José Piñón Pazos, José Antonio López Vázquez, Santiago Torres-Álvarez, Tiago Pinto, Jose Luis Calvo-Rolle
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-07-01
Edice:	Applied Sciences
Témata:	clustering prediction regression solar thermal collector hybrid model
On-line přístup:	https://www.mdpi.com/2076-3417/10/13/4644
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