Occupancy Detection Data Set
Download: Data Folder, Data Set Description
Abstract: Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
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Data Set Characteristics: |
Multivariate, Time-Series |
Number of Instances: |
20560 |
Area: |
Computer |
Attribute Characteristics: |
Real |
Number of Attributes: |
7 |
Date Donated |
2016-02-29 |
Associated Tasks: |
Classification |
Missing Values? |
N/A |
Number of Web Hits: |
202773 |
Source:
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, Véronique 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, Véronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.
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