Name: ASHRAE Global Occupant Behavior Database
Creator: Kaggle
License: https://opendatacommons.org/licenses/by/1-0/index.html

About this Dataset

ASHRAE Global Occupant Behavior Database

Dataset and documentation: https://ashraeobdatabase.com

Context

The ASHRAE Global Occupant Behavior Database was developed by Wei Mu, Yapan Liu and Bing Dong (Syracuse University), Tianzhen Hong (LBNL), Bjarne W. Olesen (Technical University of Denmark), Tom Lawrence (University of Georgia) and Zheng O’Neill (Texas A&M University) as part of the ASHRAE MTG.OBB research grant URP-1883.

Content

Study_ID	Behavior_Type	Publication
1	Door_Status	Korsavi, S. S., Montazami, A., & Brusey, J. (2018). Developing a design framework to facilitate adaptive behaviours. Energy and Buildings, 179, 360-373. https://doi.org/10.1016/j.enbuild.2018.09.011
	Fan_Status
	Occupant_Number
	Occupancy
	Shading_Status
	Window_Status
2	Appliance_Usage	Rafsanjani, H. N., Ahn, C. R., & Chen, J. (2018). Linking building energy consumption with occupants' energy-consuming behaviors in commercial buildings: Non-intrusive occupant load monitoring (NIOLM). Energy and Buildings, 172, 317-327. https://doi.org/10.1016/j.enbuild.2018.05.007
3	Door_Status	Kumar, S., Singh, M. K., Kukreja, R., Chaurasiya, S. K., & Gupta, V. K. (2019). Comparative study of thermal comfort and adaptive actions for modern and traditional multi-storey naturally ventilated hostel buildings during monsoon season in India. Journal of Building Engineering, 23, 90-106. https://doi.org/10.1016/j.jobe.2019.01.020
	Fan_Status
	Window_Status
4	HVAC_Measurement	Schwee, J. H., Johansen, A., Jørgensen, B. N., Kjærgaard, M. B., Mattera, C. G., Sangogboye, F. C., & Veje, C. (2019). Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building. Scientific data, 6(1), 1-11. https://doi.org/10.1038/s41597-019-0274-4
	Occupant_Number
5	Appliance_Usage	Piselli, C., & Pisello, A. L. (2019). Occupant behavior long-term continuous monitoring integrated to prediction models: Impact on office building energy performance. Energy, 176, 667-681. https://doi.org/10.1016/j.energy.2019.04.005
	Door_Status
	Window_Status
8	Door_Status	Touchie, M. F., & Pressnail, K. D. (2014). Using suite energy-use and interior condition data to improve energy modeling of a 1960s MURB. Energy and buildings, 80, 184-194. http://doi.org/10.1016/j.enbuild.2014.05.014
	Window_Status
9	Lighting_Status	Bursill, J. (2020). An Approach to Data-Driven Sensing and Predictive Supervisory Control for Commercial Buildings with In-Situ Evaluation (Doctoral dissertation, Carleton University). https://doi.org/10.22215/etd/2020-14103
	Occupancy
10	Appliance_Usage	Mora, D., Fajilla, G., Austin, M. C., & De Simone, M. (2019). Occupancy patterns obtained by heuristic approaches: cluster analysis and logical flowcharts. A case study in a university office. Energy and Buildings, 186, 147-168. https://doi.org/10.1016/j.enbuild.2019.01.023
	Door_Status
	HVAC_Measurement
	Occupancy
	Occupant_Number
	Window_Status
11	Occupancy	Dong, B., Li, Z., & Mcfadden, G. (2015). An investigation on energy-related occupancy behavior for low-income residential buildings. Science and Technology for the Built Environment, 21(6), 892-901. http://doi.org/10.1080/23744731.2015.1040321
13	HVAC_Measurement	Bandurski, K., Hamerla, M., Szulc, J., & Koczyk, H. (2017). The influence of multifamily apartment building occupants on energy and water consumption-the preliminary results of monitoring and survey campaign. In E3S Web of Conferences (Vol. 22, p. 00010). EDP Sciences. https://doi.org/10.1051/e3sconf/20172200010
18	Appliance_Usage	Das, A., Annaqeeb, M. K., Azar, E., Novakovic, V., & Kjærgaard, M. B. (2020). Occupant-centric miscellaneous electric loads prediction in buildings using state-of-the-art deep learning methods. Applied Energy, 269, 115135. https://doi.org/10.1016/j.apenergy.2020.115135
	Occupancy
19	Fan_Status	Lipczynska, A., Schiavon, S., & Graham, L. T. (2018). Thermal comfort and self-reported productivity in an office with ceiling fans in the tropics. Building and Environment, 135, 202-212. https://doi.org/10.1016/j.buildenv.2018.03.013
	HVAC_Measurement
	Window_Status
20	Appliance_Usage	Mahdavi, A., Berger, C., Tahmasebi, F., & Schuss, M. (2019). Monitored data on occupants' presence and actions in an office building. Scientific data, 6(1), 1-5. https://doi.org/10.1038/s41597-019-0271-7
22	Appliance_Usage	Sonta, A., Dougherty, T. R., & Jain, R. K. (2021). Data-driven optimization of building layouts for energy efficiency. Energy and Buildings, 238, 110815. https://doi.org/10.1016/j.enbuild.2021.110815
23	HVAC_Measurement	Neves, L. O., Hopes, A. P., Chung, W. J., & Natarajan, S. (2020). "Mind reading" building operation behaviour. Energy for Sustainable Development, 56, 1-18. https://doi.org/10.1016/j.esd.2020.02.003
	Window_Status
24	Occupancy	Schweiker, M., Kleber, M., & Wagner, A. (2019). Long-term monitoring data from a naturally ventilated office building. Scientific data, 6(1), 1-6. https://doi.org/10.1038/s41597-019-0283-3
	Window_Status
25	HVAC_Measurement	Rupp, Ricardo Forgiarini; Andersen, R.K.; Toftum, J.; Ghisi, E. (2021). Occupant behaviour in mixed-mode office buildings in a subtropical climate: Beyond typical models of adaptive actions https://doi.org/10.1016/j.buildenv.2020.107541
26	Door_Status	Langevin, J. (2019). Longitudinal dataset of human-building interactions in US offices. Scientific data, 6(1), 1-10. https://doi.org/10.1038/s41597-019-0273-5
	Fan_Status
	HVAC_Measurement
	Shading_Status
	Window_Status
27	Other_HeatWave	Andrews, Clinton & Mainelis, Gediminas & (co-Pi, Richard & Sorensen Allacci, Maryann & Plotnik, Deborah & Senick, Jennifer & Feygina, Irina & Autote, Olga & Ramkumar, Swetha & Pryce, Tiffany & Marathe, Rewa & Ding, Jiayi. (2013). Expanding the Definition of Green - Impacts of Green and Active Living Design on Health in Low Income Housing: Added Value of Behavioral Interventions as part of an Integrated Service Delivery Model.
28	Other_Role of habits in consumption	Andrews, Clinton & Mainelis, Gediminas & (co-Pi, Richard & Sorensen Allacci, Maryann & Plotnik, Deborah & Senick, Jennifer & Feygina, Irina & Autote, Olga & Ramkumar, Swetha & Pryce, Tiffany & Marathe, Rewa & Ding, Jiayi. (2013). Expanding the Definition of Green - Impacts of Green and Active Living Design on Health in Low Income Housing: Added Value of Behavioral Interventions as part of an Integrated Service Delivery Model.
29	Other_IAQ in Affordable Housing	Andrews, Clinton & Mainelis, Gediminas & (co-Pi, Richard & Sorensen Allacci, Maryann & Plotnik, Deborah & Senick, Jennifer & Feygina, Irina & Autote, Olga & Ramkumar, Swetha & Pryce, Tiffany & Marathe, Rewa & Ding, Jiayi. (2013). Expanding the Definition of Green - Impacts of Green and Active Living Design on Health in Low Income Housing: Added Value of Behavioral Interventions as part of an Integrated Service Delivery Model.
30	Occupancy	Park, J. Y., Dougherty, T., Fritz, H., & Nagy, Z. (2019). LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning. Building and Environment, 147, 397-414. https://doi.org/10.1016/j.buildenv.2018.10.028
	Lighting_Status
31	Door_Status	Malik, J., Bardhan, R., Hong, T., & Piette, M. A. (2020). Contextualising adaptive comfort behaviour within low-income housing of Mumbai, India. Building and Environment, 177, 106877. https://doi.org/10.1016/j.buildenv.2020.106877
	Fan_Status
	HVAC_Measurement
	Light_Status
	Window_Status
32	Occupant_Number	Wang, Z., Hong, T., Piette, M. A., & Pritoni, M. (2019). Inferring occupant counts from Wi-Fi data in buildings through machine learning. Building and Environment, 158, 281-294. https://doi.org/10.1016/j.buildenv.2019.05.015

License:

This ASHRAE Global Occupant Behavior Database is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/.

Acknowledgments:

The authors wish to acknowledge the generous contributions made by all dataset contributors. If you intend to use the research data contained in this database, please ensure that you give appropriate acknowledgment (e.g. citation) to the original researchers. We would also like to acknowledge the sponsorship from ASHRAE, Building Technologies Office of the U.S. Department of Energy, and kind support from IEA Annex 79 to make this possible.

Tables

Study 32 Static Info Study32

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_32_static_info_study32

4.59 kB
2 rows
6 columns

CREATE TABLE study_32_static_info_study32 (
  "country" VARCHAR,
  "city" VARCHAR,
  "building_type" VARCHAR,
  "room_type" VARCHAR,
  "building_id" BIGINT,
  "room_id" BIGINT
);

Study 32 Static Info Study33

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_32_static_info_study33

4.58 kB
1 row
6 columns

CREATE TABLE study_32_static_info_study33 (
  "country" VARCHAR,
  "city" VARCHAR,
  "building_type" VARCHAR,
  "room_type" VARCHAR,
  "building_id" BIGINT,
  "room_id" BIGINT
);

Study 3 Dict Study3

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_3_dict_study3

3.69 kB
44 rows
2 columns

CREATE TABLE study_3_dict_study3 (
  "suggested_col_names" VARCHAR,
  "note" VARCHAR
);

Study 3 Study3

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_3_study3

73.67 kB
1,216 rows
44 columns

CREATE TABLE study_3_study3 (
  "series_num" DOUBLE,
  "date" TIMESTAMP,
  "season" VARCHAR,
  "building_type" VARCHAR,
  "floor_num" DOUBLE,
  "orientation" VARCHAR,
  "time" VARCHAR,
  "temperature_air_indoor_c" VARCHAR  -- Temperature Air Indoor [C],
  "temperature_globe_c" DOUBLE  -- Temperature Globe [C],
  "temperature_mean_radiant_c" VARCHAR  -- Temperature Mean Radiant [C],
  "temperature_operative_c" VARCHAR  -- Temperature Operative [C],
  "temperature_wall_c" DOUBLE  -- Temperature Wall [C],
  "relative_humidity" DOUBLE  -- Relative Humidity [%],
  "air_sped_m_s" DOUBLE  -- Air Sped [m/s],
  "tsv" DOUBLE,
  "tpv" DOUBLE,
  "data_accracy_and_removal_of_outlier" DOUBLE,
  "asv" DOUBLE,
  "apv" DOUBLE,
  "hsv" DOUBLE,
  "hpv" DOUBLE,
  "overall_comfort" DOUBLE,
  "temperature_outdoor_c" DOUBLE  -- Temperature Outdoor [C],
  "relative_humidity_1" DOUBLE  -- Relative Humidity [%].1,
  "outdoor_condition" VARCHAR,
  "clothing_level" DOUBLE,
  "activity_level" DOUBLE,
  "exterior_door_status" DOUBLE,
  "window_status" DOUBLE,
  "fan_status" DOUBLE,
  "pmv" DOUBLE,
  "ppd" DOUBLE,
  "window_operation" DOUBLE,
  "door_operation" DOUBLE,
  "fan_operation" DOUBLE,
  "clothing_change" DOUBLE,
  "posture_change" DOUBLE,
  "walking_in_out" DOUBLE,
  "drink_change" DOUBLE,
  "evaporative_cooling_status" DOUBLE,
  "temperature_outdoor_daily_mean" DOUBLE,
  "temperature_outdoor_running_mean_3d" DOUBLE,
  "temperature_outdoor_running_mean_7d" DOUBLE,
  "temperature_outdoor_monthly_mean" DOUBLE
);

Study 4 Hvac Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_4_hvac_measurement

834.92 kB
190,080 rows
5 columns

CREATE TABLE study_4_hvac_measurement (
  "date_time" TIMESTAMP,
  "vav_opening" DOUBLE  -- VAV Opening[%],
  "hvac_zone_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 4 Indoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_4_indoor_measurement

1.14 MB
190,080 rows
7 columns

CREATE TABLE study_4_indoor_measurement (
  "date_time" TIMESTAMP,
  "indoor_temp_c" DOUBLE  -- Indoor Temp[C],
  "indoor_rh" DOUBLE  -- Indoor RH[%],
  "indoor_co2_ppm" BIGINT  -- Indoor CO2[ppm],
  "indoor_illuminance_lux" BIGINT  -- Indoor Illuminance[LUX],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 4 Occupant Number Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_4_occupant_number_measurement

865.01 kB
190,080 rows
4 columns

CREATE TABLE study_4_occupant_number_measurement (
  "date_time" TIMESTAMP,
  "occupant_number_measurement" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 4 Static Info

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_4_static_info

4.66 kB
3 rows
6 columns

CREATE TABLE study_4_static_info (
  "country" VARCHAR,
  "city" VARCHAR,
  "building_type" VARCHAR,
  "room_type" VARCHAR,
  "building_id" BIGINT,
  "room_id" BIGINT
);

Study 5 Appliance Usage

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_5_appliance_usage

7.17 MB
1,064,590 rows
5 columns

CREATE TABLE study_5_appliance_usage (
  "date_time" TIMESTAMP,
  "electric_power_w" DOUBLE  -- Electric Power[w],
  "appliance_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 5 Door Status

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_5_door_status

1.91 MB
532,295 rows
5 columns

CREATE TABLE study_5_door_status (
  "date_time" TIMESTAMP,
  "door_status_0_closed_1_open" BIGINT  -- Door Status[0-Closed;1-Open],
  "door_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 5 Indoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_5_indoor_measurement

3.17 MB
532,295 rows
5 columns

CREATE TABLE study_5_indoor_measurement (
  "date_time" TIMESTAMP,
  "indoor_temp_c" DOUBLE  -- Indoor Temp[C],
  "indoor_illuminance_lux" BIGINT  -- Indoor Illuminance[LUX],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 5 Outdoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_5_outdoor_measurement

1.01 MB
53,259 rows
8 columns

CREATE TABLE study_5_outdoor_measurement (
  "date_time" TIMESTAMP,
  "outdoor_temp_c" DOUBLE  -- Outdoor Temp[C],
  "outdoor_rh" DOUBLE  -- Outdoor RH[%],
  "wind_speed_m_s" DOUBLE  -- Wind Speed[m/s],
  "wind_direction_deg" BIGINT  -- Wind Direction[deg],
  "solar_radiation_w_m2" DOUBLE  -- Solar Radiation[w/m2],
  "precipitation" DOUBLE,
  "building_id" BIGINT
);

Study 5 Window Status

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_5_window_status

1.9 MB
532,295 rows
5 columns

CREATE TABLE study_5_window_status (
  "date_time" TIMESTAMP,
  "window_status_0_closed_1_open" BIGINT  -- Window Status[0-Closed;1-Open],
  "window_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 6 Hvac Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_6_hvac_measurement

5.99 kB
170 rows
5 columns

CREATE TABLE study_6_hvac_measurement (
  "date_time" TIMESTAMP,
  "cooling_status_0_off_1_on" BIGINT  -- Cooling Status[0-OFF;1-ON],
  "hvac_zone_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 6 Indoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_6_indoor_measurement

771.36 kB
57,238 rows
6 columns

CREATE TABLE study_6_indoor_measurement (
  "date_time" TIMESTAMP,
  "indoor_temp_c" DOUBLE  -- Indoor Temp[C],
  "indoor_rh" DOUBLE  -- Indoor RH[%],
  "indoor_illuminance_lux" BIGINT  -- Indoor Illuminance[LUX],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 6 Outdoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_6_outdoor_measurement

2.69 MB
209,602 rows
5 columns

CREATE TABLE study_6_outdoor_measurement (
  "date_time" TIMESTAMP,
  "outdoor_temp_c" DOUBLE  -- Outdoor Temp[C],
  "outdoor_rh" DOUBLE  -- Outdoor RH[%],
  "solar_radiation_w_m2" DOUBLE  -- Solar Radiation[w/m2],
  "building_id" BIGINT
);

Study 6 Window Status

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_6_window_status

24.71 kB
2,401 rows
5 columns

CREATE TABLE study_6_window_status (
  "date_time" TIMESTAMP,
  "window_status_0_closed_1_open" BIGINT  -- Window Status[0-Closed;1-Open],
  "window_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 7 Hvac Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_7_hvac_measurement

1.91 MB
778,752 rows
6 columns

CREATE TABLE study_7_hvac_measurement (
  "date_time" TIMESTAMP,
  "heating_status_0_off_1_on" BIGINT  -- Heating Status[0-OFF;1-ON],
  "cooling_status_0_off_1_on" BIGINT  -- Cooling Status[0-OFF;1-ON],
  "hvac_zone_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 7 Indoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_7_indoor_measurement

3.47 MB
778,752 rows
6 columns

CREATE TABLE study_7_indoor_measurement (
  "date_time" TIMESTAMP,
  "indoor_temp_c" DOUBLE  -- Indoor Temp[C],
  "indoor_rh" BIGINT  -- Indoor RH[%],
  "indoor_co2_ppm" BIGINT  -- Indoor CO2[ppm],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 7 Occupancy Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_7_occupancy_measurement

1.91 MB
778,752 rows
4 columns

CREATE TABLE study_7_occupancy_measurement (
  "date_time" TIMESTAMP,
  "occupancy_measurement_0_unoccupied_1_occupied" BIGINT  -- Occupancy Measurement[0-Unoccupied;1-Occupied],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 7 Outdoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_7_outdoor_measurement

4.96 MB
778,752 rows
8 columns

CREATE TABLE study_7_outdoor_measurement (
  "date_time" TIMESTAMP,
  "outdoor_temp_c" DOUBLE  -- Outdoor Temp[C],
  "outdoor_rh" DOUBLE  -- Outdoor RH[%],
  "wind_speed_m_s" DOUBLE  -- Wind Speed[m/s],
  "wind_direction_deg" DOUBLE  -- Wind Direction[deg],
  "solar_radiation_w_m2" DOUBLE  -- Solar Radiation[w/m2],
  "precipitation" DOUBLE,
  "building_id" BIGINT
);

Study 7 Static Info

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_7_static_info

4.74 kB
16 rows
6 columns

CREATE TABLE study_7_static_info (
  "country" VARCHAR,
  "city" VARCHAR,
  "building_type" VARCHAR,
  "room_type" VARCHAR,
  "building_id" BIGINT,
  "room_id" BIGINT
);

Study 8 Door Status

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_8_door_status

125 kB
28,356 rows
5 columns

CREATE TABLE study_8_door_status (
  "date_time" TIMESTAMP,
  "door_status_0_closed_1_open" BIGINT  -- Door Status[0-Closed;1-Open],
  "door_id" BIGINT,
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 8 Indoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_8_indoor_measurement

893.04 kB
283,560 rows
6 columns

CREATE TABLE study_8_indoor_measurement (
  "date_time" TIMESTAMP,
  "indoor_temp_c" DOUBLE  -- Indoor Temp[C],
  "indoor_rh" DOUBLE  -- Indoor RH[%],
  "indoor_illuminance_lux" BIGINT  -- Indoor Illuminance[LUX],
  "room_id" BIGINT,
  "building_id" BIGINT
);

Study 8 Outdoor Measurement

@kaggle.claytonmiller_ashrae_global_occupant_behavior_database.study_8_outdoor_measurement

181.07 kB
9,452 rows
9 columns

CREATE TABLE study_8_outdoor_measurement (
  "date_time" TIMESTAMP,
  "outdoor_temp_c" DOUBLE  -- Outdoor Temp[C],
  "outdoor_rh" DOUBLE  -- Outdoor RH[%],
  "wind_speed_m_s" DOUBLE  -- Wind Speed[m/s],
  "wind_direction_deg" DOUBLE  -- Wind Direction[deg],
  "outdoor_air_pressure_pa" DOUBLE  -- Outdoor Air Pressure[Pa],
  "solar_radiation_w_m2" DOUBLE  -- Solar Radiation[w/m2],
  "precipitation" DOUBLE,
  "building_id" BIGINT
);