Luis Candanedo, luismiguel.candanedoibarra '@' umons.ac.be, UMONS.

Data Set Information:

Three data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
For the journal publication, the processing R scripts can be found in:
[Web link]

Attribute Information:

date time year-month-day hour:minute:second
Temperature, in Celsius
Relative Humidity, %
Light, in Lux
CO2, in ppm
Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air
Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status

Relevant Papers:

Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, V??ronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.

Citation Request:

Please cite the following publication:
Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, V??ronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.