Room-level Occupant Counts, Airflow and CO2 Data from an Office Building

被引：11

作者：

Arendt, Krzysztof ^{[1
]}

Johansen, Aslak ^{[1
]}

Jorgensen, Bo Norregaard ^{[1
]}

Kjaergaard, Mikkel Baun ^{[1
]}

Mattera, Claudio Giovanni ^{[1
]}

Sangogboye, Fisayo Caleb ^{[1
]}

机构：

[1] Univ Southern Denmark, Sonderborg, Denmark

来源：

PROCEEDINGS OF THE FIRST WORKSHOP ON DATA ACQUISITION TO ANALYSIS (DATA '18) | 2018年

关键词：

Data; Occupant Sensing; CO2;

D O I：

10.1145/3277868.3277875

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The area of occupant sensing is lacking public datasets to baseline and foster data-driven research. This abstract describes a dataset covering room-level occupant counts, in-room ventilation airflow and CO2 data from an office building. This dataset can among others be used for developing and evaluating data-driven algorithms for occupant sensing and building analytics.

引用

页码：13 / 14

页数：2

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BUILDING SIMULATION, 2017, 10 (06) :829-843

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