The dataset comprises Building Management System (BMS) data from an educational building located on the main campus of Aalborg University in Denmark, as well as from Empa’s NEST (Next Evolution in Sustainable Building Technologies) demonstrator building in Switzerland. The buildings contain main and sub-meters for all equipment using electricity or thermal energy. The equipment using thermal energy includes air handling units (water-based heating coils), space heating (floor heating, radiators, and ceiling heating), and domestic hot water (heat exchangers). Besides the energy data, room data, such as temperature, CO2 concentration, occupant presence, radiator valve opening, and ventilation damper opening, are included for all rooms in the buildings. The data spans 6 to 28 months, depending on the building and the measurement points. The data was collected as raw data with a time resolution between 1 and 10 minutes. The dataset is expected to be useful for various applications, including model calibration, machine learning, and occupant analysis.
Melgaard et al. (Sun,) studied this question.