TY - JOUR AU - Igor Sartori AU - Harald Taxt Walnum AU - Kristian S Skeie AU - Laurent Georges AU - Michael D Knudsen AU - Peder Bacher AU - José Candanedo AU - Anna-Maria Sigounis AU - Anand Prakash AU - Marco Pritoni AU - Jessica Granderson AU - Shiyu Yang AU - Man Pun Wan AB -
The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO 2 level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min.
BT - Data in Brief DA - 06/2023 DO - 10.1016/j.dib.2023.109149 N2 -The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO 2 level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min.
PB - Elsevier BV PY - 2023 EP - 109149 T2 - Data in Brief TI - Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate UR - https://doi.org/10.1016/j.dib.2023.109149 VL - 48 SN - 2352-3409 ER -