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.