The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.
TidsskriftData in Brief
Antal sider33
StatusUdgivet - jun. 2024

Bibliografisk note

© 2024 The Author(s).


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