KTH-EES Smart Building模拟数据集

KTH-EES Smart Building模拟数据集是由瑞典皇家理工学院创建，用于模拟办公室环境中的CO2动态。该数据集包含多种环境变量，如CO2浓度、机械通风流量、空气渗透和人员占用等，模拟周期为一周。数据集通过IDA-ICE软件生成，旨在评估系统识别技术在捕捉模拟环境动态方面的能力，并作为比较当前系统识别算法性能的基准。此外，数据集还关注于通过CO2浓度信息进行人员占用估计的问题，模拟了不同的人员占用和窗户开启条件，以解决智能建筑设计中的实际问题。

The KTH-EES Smart Building simulation dataset was developed by the Royal Institute of Technology (KTH, Sweden) for simulating CO2 dynamics in office environments. Encompassing multiple environmental variables including CO2 concentration, mechanical ventilation airflow, air infiltration, and building occupancy, the dataset spans a one-week simulation period. Generated via the IDA-ICE software, this dataset is designed to evaluate the capability of system identification techniques in capturing the dynamics of simulated environments, and serve as a benchmark for comparing the performance of current system identification algorithms. Furthermore, the dataset focuses on the problem of occupancy estimation using CO2 concentration data, simulating various occupancy scenarios and window opening conditions to address practical issues in smart building design.