Development of a Bayesian based adaptive optimisation algorithm for the thermostat settings in agile open plan offices

The development of a Bayesian based adaptive optimisation algorithm for optimising the indoor thermostat settings in a large agile open plan office is presented. Occupant expressions of thermal dissatisfaction and indoor environmental conditions were collected using densely-placed devices over a per...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Wenye, Kokogiannakis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545340/
https://www.ncbi.nlm.nih.gov/pubmed/33052170
http://dx.doi.org/10.1016/j.enbuild.2020.110536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545340/
https://www.ncbi.nlm.nih.gov/pubmed/33052170
http://dx.doi.org/10.1016/j.enbuild.2020.110536

Ejemplares similares