Data-Driven Living Spaces’ Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification

Modeling and control of the heating feature of living spaces remain challenging tasks because of the intrinsic nonlinear nature of the involved processes as well as the strong nonlinearity of the entailed dynamic parameters in those processes. Although nowadays, adaptive heating controllers represen...

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Detalles Bibliográficos
Autores principales: Sadeghian Broujeny, Roozbeh, Madani, Kurosh, Chebira, Abdennasser, Amarger, Veronique, Hurtard, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070257/
https://www.ncbi.nlm.nih.gov/pubmed/32079104
http://dx.doi.org/10.3390/s20041071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070257/
https://www.ncbi.nlm.nih.gov/pubmed/32079104
http://dx.doi.org/10.3390/s20041071

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