The CN-OBEE dataset, occupant behavior, thermal environment, and appliance electricity use of a single-family apartment in China

Household is the basic unit of a residential community or building. High-resolution, long-term open data are necessary to help study residential electricity consumption, smart home technologies, and electricity flexibility technologies at a household level.

The dataset provided, namely CN-OBEE, includes the per-minute occupant behavior, thermal environment, and appliance electricity use data from a single-family apartment in Beijing, China, for an entire year (from May 31, 2021, to May 31, 2022) and the hourly meteorological data collected by the nearest national weather station for the same period. The household data are collected by an IoT-based data collection platform (IDCP) composed of gateways, sensors, and cloud servers, which can simultaneously collect the occupant presence, indoor environment, window-opening state, and appliance electricity consumption data.

The dataset is the first detailed occupant behavior and electricity use dataset of Chinese homes publicly available. As one of the regional features, it includes window-opening behavior and the usage of split air conditioners. It can support electricity load shape analysis, electric power prediction, occupant behavior modeling and validation, building energy modeling and validation, thermal comfort analysis, suitability of energy-related measures, and other types of research for residential buildings at a household level.

家庭是住宅社区或楼宇的基本单元。高精度、长时序的开放数据，是开展家庭层面居民用电、智能家居技术及电力灵活性技术研究的必要支撑。

本次提供的CN-OBEE数据集，涵盖中国北京某单户公寓在完整一年周期（2021年5月31日至2022年5月31日）内的每分钟级住户行为、热环境与家电用电数据，同时包含同期由邻近国家气象站采集的逐小时气象数据。该家庭端数据由网关、传感器与云服务器组成的基于物联网（Internet of Things）的数据采集平台（IDCP）采集，可同步获取住户在场状态、室内环境、开窗状态以及家电用电能耗数据。

该数据集是首个公开可用的中国家庭详细住户行为与用电数据集。作为区域特性之一，其包含开窗行为与分体式空调的使用情况。该数据集可支撑家庭层面住宅建筑的电力负荷形态分析、电力负荷预测、住户行为建模与验证、建筑能耗建模与验证、热舒适分析、能源相关措施适配性研究等多类科研工作。