Optimizing Machine Learning Models for Indoor Environmental Quality Prediction in Intelligent Buildings

Indoor air quality parameters were monitored using commercially available indoor air quality (IAQ) sensors that comply with relevant international standards (ISO 16000-1, ASHRAE 55, ISO 7726, EN 12464-1, EN 16798-1). The sensors were installed in multiple rooms on two floors to capture the spatial variability of indoor conditions in a family home. Measurements were recorded at 15-minute intervals and stored in a cloud platform for subsequent analysis.本数据集采用符合相关国际标准（ISO 16000-1、ASHRAE 55、ISO 7726、EN 12464-1、EN 16798-1）的商用室内空气质量（Indoor Air Quality, IAQ）传感器，对室内空气质量参数进行监测。为捕捉家庭住宅内室内环境的空间变异性，传感器被部署于两层住宅的多个房间中。监测数据以15分钟为间隔进行记录，并存储至云平台以供后续分析使用。