Efficiency and Optimization of Buildings Energy Consumption Volume II : [Editorial]
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Ciencias da Navegación e Enxeñaría Mariña | es_ES |
| UDC.issue | 1 | es_ES |
| UDC.journalTitle | Applied Sciences (Switzerland) | es_ES |
| UDC.startPage | Article 361 | es_ES |
| UDC.volume | 13 | es_ES |
| dc.contributor.author | Orosa, José A. | |
| dc.date.accessioned | 2023-03-23T19:05:22Z | |
| dc.date.available | 2023-03-23T19:05:22Z | |
| dc.date.issued | 2023 | |
| dc.description | Editorial | es_ES |
| dc.description.abstract | [Abstract] This issue, as a continuation of a previous Special Issue on “Efficiency and Optimization of Buildings Energy Consumption,” gives an up-to-date overview of new technologies based on Machine Learning (ML) and Internet of Things (IoT) procedures to improve the mathematical approach of algorithms that allow control systems to be improved with the aim of reducing housing sector energy consumption. | es_ES |
| dc.identifier.citation | Orosa, J. A. (2023). Efficiency and optimization of buildings energy consumption volume II. [Editorial] Applied Sciences (Switzerland), 13(1) , 361. https://doi.org/10.3390/app13010361 | es_ES |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | http://hdl.handle.net/2183/32756 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | es_ES |
| dc.rights | Atribución 3.0 España | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Buildings energy consumption | es_ES |
| dc.subject | Energy efficiency | es_ES |
| dc.subject | Internet of things | es_ES |
| dc.title | Efficiency and Optimization of Buildings Energy Consumption Volume II : [Editorial] | es_ES |
| dc.type | other | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4e9c09a2-cb4b-49ce-aab3-70cc72abe4ee | |
| relation.isAuthorOfPublication.latestForDiscovery | 4e9c09a2-cb4b-49ce-aab3-70cc72abe4ee |
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