Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data

Indoor occupancy prediction is a prerequisite for the management of energy consumption, security, health, and other systems in smart buildings. Previous studies have shown that buildings that automatize their heating, lighting, air conditioning, and ventilation systems through considering the occupa...

Descripción completa

Detalles Bibliográficos
Autores principales: Arvidsson, Simon, Gullstrand, Marcus, Sirmacek, Beril, Riveiro, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913583/
https://www.ncbi.nlm.nih.gov/pubmed/33546305
http://dx.doi.org/10.3390/s21041036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913583/
https://www.ncbi.nlm.nih.gov/pubmed/33546305
http://dx.doi.org/10.3390/s21041036

Ejemplares similares