Data for: Recommender Systems for Sensor-based Ambient Control in Academic Facilities

Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms.
The data are supplied in a file in Excel format .xlsx. It containts several sheets corresponding with the different smart spaces (laboratories and classrooms).
Each dataset is a matrix where the rows are the time dates of the readings, and there are three columns for the sensor readings of temperature, CO2 and humidity.

学术空间作为一种促进学生表现的场所，其重要性不仅体现在其设备的质量上，亦在于其环境舒适度的营造。这种舒适度可通过接收来自传感器的数据的执行器进行调节。类似的情况亦适用于其他环境，诸如家庭、商业或工业环境。然而，传感设备在实时监控中可能引发故障或产生不准确的读数，进而影响控制机制。环境变量之间的相互关系可成为预测传感器故障时变量变化的知识来源。此外，这些变量与学生随时间占用空间的关系亦蕴含着对预测情境的充分理解。本数据集提供了不同学术空间（实验室和教室）内传感器随时间变化的读数。数据以 Excel 格式 (.xlsx) 的文件提供，其中包含对应于不同智能空间（实验室和教室）的多个工作表。每个数据集是一个矩阵，其中行代表读数的日期时间，列包含温度、CO2 和湿度传感器的读数。