Feature Extraction from Building Submetering Networks Using Deep Learning

The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network, which measures the main supply and other intermedi...

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Detalles Bibliográficos
Autores principales: Morán, Antonio, Alonso, Serafín, Pérez, Daniel, Prada, Miguel A., Fuertes, Juan José, Domínguez, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374320/
https://www.ncbi.nlm.nih.gov/pubmed/32629956
http://dx.doi.org/10.3390/s20133665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374320/
https://www.ncbi.nlm.nih.gov/pubmed/32629956
http://dx.doi.org/10.3390/s20133665

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