Occupants Behavior Research Bibliography

[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
, Delmastro, C., Fabi, V., and Corgnati, S. P., Testing Socio-Economic Demographic Variables on building energy consumption scenarios at the urban scale in Italy, in 8th Mediterranean Congress of HVAC – 2015, Juan-les-Pins, France, 2015.
W. Abrahamse, Steg, L., Vlek, C., and Rothengatter, T., A review of intervention studies aimed at household energy conservation., Journal of Environmental Psychology, vol. 25, pp. 417-1430, 2005.
B. Abushakra and Claridge, D. E., Modeling office building occupancy in hourly data-driven and detailed energy simulation programs., ASHRAE Transactions, vol. 114, pp. 472-481, 2008.
K. Ackerly and Brager, G., Window signalling systems: control strategies and
occupant behaviour.
, Building Research & InformationBuilding Research & Information, vol. 41, pp. 37-41, 2013.
D. Aerts, Minnen, J., Glorieux, I., Wouters, I., and Descamps, F., A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison., Building and Environment, vol. 75, pp. 67-78, 2014.
K. - U. Ahn, Kim, D. - W., Park, C. - S., and de Wilde, P., Predictability of occupant presence and performance gap in building energy simulation, Applied Energy, 2017.
K. U. Ahn and Park, C. S., Correlation between occupants and energy consumption, Energy and Buildings, vol. 116, pp. 420–433, 2016.
S. Ahuja and Peles, S., Building energy models: Quantifying uncertainties due to stochastic processes., 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). pp. 4814-4820, 2013.
A. Al-Mumin, Khattab, O., and Sridhar, G., Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences, Energy and Buildings, vol. 35, pp. 549-559, 2003.
M. R. Ally, Munk, J. D., Baxter, V. D., and Gehl, A. C., Exergy and energy analysis of a ground-source heat pump for domestic water heating under simulated occupancy conditions, International Journal of Refrigeration, vol. 36, pp. 1417-1430, 2013.
M. Althoff, Hess, D., and Gambert, F., Road occupancy prediction of traffic participants, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 99-105, 2013.
J. An, Yan, D., Deng, G., and Yu, R., Survey and performance analysis of centralized domestic hot water system in China, Energy and Buildings, vol. 133, pp. 321-334, 2016.
J. An, Yan, D., Hong, T., and Sun, K., A novel stochastic modeling method to simulate cooling loads in residential districts, Applied Energy, vol. 206, pp. 134-149, 2017.
P. D. Andersen, Iversen, A., Madsen, H., and Rode, C., Dynamic modeling of presence of occupants using inhomogeneous Markov chains, Energy and Buildings, vol. 69, pp. 213-223, 2014.
R. V. Andersen, Toftum, J., Andersen, K. K., and Olesen, B. W., Survey of occupant behaviour and control of indoor environment in Danish dwellings, Energy and Buildings, vol. 41, pp. 11-16, 2009.
R. Andersen, Fabi, V., Toftum, J., Corgnati, S. P., and Olesen, B. W., Window opening behaviour modelled from measurements in Danish dwellings., Building and Environment, vol. 69, 2013.
K. Anderson, Song, K., Lee, S. H., Lee, H., and Park, M., Energy consumption in households while unoccupied: Evidence from dormitories., Energy and Buildings, vol. 87, pp. 335-341, 2015.
K. Anderson, Lee, S., and Menassa, C., Impact of Social Network Type and Structure on Modeling Normative Energy Use Behavior Interventions, Journal of Computing in Civil Engineering –Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, ASC, vol. 28, no. 1, pp. 30-39, 2014.
C. J. Andrews, The Changing Socioeconomic Context of Buildings, Journal of Solar Energy Engineering, vol. 139, no. 1, 2016.
C. J. Andrews, Hattis, D., Listokin, D., Senick, J. A., Sherman, G. B., and Souder, J., Energy-Efficient Reuse of Existing Commercial Buildings, Journal of the American Planning Association, vol. 82, no. 2, pp. 113-133, 2016.
C. J. Andrews, Allacci, M. S., Senick, J., Putra, H. C., and Tsoulou, I., Using synthetic population data for prospective modeling of occupant behavior during design, Energy and Buildings, vol. 126, pp. 415-423, 2016.
E. Arens, Behavior and Buildings, Newsletter of the Center for the Built Environment at the University of California, Berkeley. Center for the Built Environment, Berkeley, CA, 2010.
M. B. C. Aries, Veitch, J. A., and Newsham, G. R., Windows, view, and office characteristics predict physical and psychological discomfort, Journal of Environmental Psychology, vol. 30, pp. 533-541, 2010.
M. M. Armstrong, Swinton, M. C., Ribberink, H., Beausoleil-Morrison, I., and Millette, J., Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing, Journal of Building Performance Simulation, vol. 2, pp. 15-30, 2009.
D. Arrobe, Martins, J., and Lima, C., Locating and monitoring tenants in PV based buildings, Renewable Energy Research and Applications (ICRERA), 2013 International Conference on. pp. 1112-1116, 2013.
G. Augenbroe, Trends in building simulation, Building and Environment, vol. 37, pp. 891-902, 2002.
E. Azar and Menassa, C. C., Agent-based modeling of occupants and their impact on energy use in commercial buildings., Journal of Computing in Civil Engineering, vol. 26, pp. 506-518, 2011.
E. Azar and Menassa, C., Evaluating the Impact of Extreme Energy Use Behavior on Occupancy Interventions in Commercial Buildings, Energy and Buildings, vol. 97, pp. 205-218, 2015.
E. Azar and Menassa, C., A Comprehensive Analysis of the Impact of Occupancy Parameters in Energy Simulation of Commercial Buildings, Energy and Buildings – Special Issue: Cool Roofs, Cool Pavements, Cool Cities, and Cool World, vol. 55, pp. 841-853, 2012.
E. Azar and Menassa, C. C., Optimizing the performance of energy-intensive commercial buildings: Occupancy-focused data collection and analysis approach, Journal of Computing in Civil Engineering, vol. 30, no. 5, p. C4015002, 2016.
E. Azar and Menassa, C., A Framework to Evaluate Energy Saving Potential from Occupancy Interventions in Typical US Commercial Buildings, Journal of Computing in Civil Engineering - Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, ASCE, vol. 28, no. 1, pp. 63-78, 2014.
E. Azar and Menassa, C. C., A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks, Energy Policy, vol. 67, pp. 459-472, 2014.
C. Bae and Chun, C., Research on seasonal indoor thermal environment and residents' control behavior of cooling and heating systems in Korea, Building and Environment, vol. 44, pp. 2300-2307, 2009.
A. S. Bahaj and James, P. A. B., Urban energy generation: The added value of photovoltaics in social housing, Renewable & Sustainable Energy Reviews, vol. 11, pp. 2121-2136, 2007.
N. Baker and Standeven, M., Comfort criteria for passively cooled buildings a pascool task, Renewable energy, vol. 5, pp. 977-984, 1994.
N. Baker and Standeven, M., A behavioural approach to thermal comfort assessment, International Journal of Solar Energy, vol. 19, pp. 21-35, 1997.
N. Baker and Standeven, M., Thermal comfort for free-running buildings, Energy and Buildings, vol. 23, pp. 175-182, 1996.
R. Bălan, Cooper, J., Chao, K. - M., Stan, S., and Donca, R., Parameter identification and model based predictive control of temperature inside a house, Energy and Buildings, vol. 43, pp. 748-758, 2011.
K. Bandurski, Hamerla, M., Szulc, J., and Koczyk, H., The influence of multifamily apartment building occupants on energy and water consumption – the preliminary results of monitoring and survey campaign, in International conference on advances in energy systems and environmental engineering (ASEE17), Wrocław, Poland, 2017.
K. Bandurski and Koczyk, H., Influence of stochastic internal heat gains in multifamily buildings on yearly energy demand , INSTAL (in Polish), vol. 12, pp. 55-61, 2015.
V. M. Barthelmes, Becchio, C., and Corgnati, S. P., Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort, Science and Technology for the Built Environment, vol. 22, no. 7, pp. 960-975, 2016.
L. Bartram, Rodgers, J., and Muise, K., Chasing the Negawatt: Visualization for sustainable living, Ieee Computer Graphics and Applications, vol. 30, pp. 8-14, 2010.
N. Batra, Arjunan, P., Singh, A., and Singh, P., Experiences with occupancy based Building Management Systems, Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on. pp. 153-158, 2013.
L. J. Becker, Joint effect of feedback and goal setting on performance: A field study of residential energy conservation, Journal of applied Psychology, vol. 63, pp. 428-433, 1978.
G. Bekö, Toftum, J., and Clausen, G., Modeling ventilation rates in bedrooms based on building characteristics and occupant behavior, Building and Environment, vol. 46, pp. 2230-2237, 2011.
G. Bekö, Lund, T., Nors, F., Toftum, J., and Clausen, G., Ventilation rates in the bedrooms of 500 Danish children, Building and Environment, vol. 45, pp. 2289-2295, 2010.
Z. Belafi, Hong, T., and Reith, A., Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary, Building Simulation, pp. 1-18, 2017.


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