Occupants Behavior Research Bibliography

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S. D’Oca, Hong, T., and Langevin, J., The human dimensions of energy use in buildings: A review, Renewable and Sustainable Energy Reviews, vol. 81, pp. 731-742, 2018.
S. D’Oca, Chen, C. - F., Hong, T., and Belafi, Z., Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings, Energy Research & Social Science, vol. 34, pp. 240-2, 2017.
S. D’Oca, Fabi, V., Barthelmes, V. M., and Corgnati, S. P., From consumer smart monitoring to demand response in the domestic sector: Italian case studies, EEDAL – 2015 – 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting. Lucerne, Switzerland , 2015.
S. D’Oca, Corgnati, S. P., and T., B., Smart meters and energy savings in Italy: Determining the effectiveness of persuasive communication in dwellings. , ENERG RES SOC SCI, vol. 8, pp. 131–142, 2014.
S. Dutton, Spencer, M., and Shao, L., Window opening behaviour in a natrually ventilated school , in SimBuild2010, New York, NY, 2010, 4th National Conference of IBPSA-USA, August 11-13, 2010 vol., pp. 260-268.
C. Dubrul, Inhabitant behaviour with respect to ventilation, UK, ISBN 0 946075 36 0, (AIVC Technical Note 23), 1988.
C. Duarte, Van den Wymelenberg, K., and Rieger, C., Revealing occupancy patterns in an office building through the use of occupancy sensor data, Energy and Buildings, vol. 67, pp. 587-595, 2013.
K. Dooley, New ways of working: Linking energy consumption to people, REHVA Journal, pp. 39-44, 2011.
B. Dong and Lam, K. P., Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network, Journal of Building Performance Simulation, vol. 4, pp. 359-369, 2011.
B. Dong, Cao, C., and Lee, S. E., Applying support vector machines to predict building energy consumption in tropical region, Energy and Buildings, vol. 37, pp. 545-553, 2005.
B. Dong, Lee, S. E., and Sapar, M. H., A holistic utility bill analysis method for baselining whole commercial building energy consumption in Singapore, Energy and Buildings, vol. 37, pp. 167-174, 2005.
B. Dong, Andrews, B., Lam, K. P., Höynck, M., Zhang, R., Chiou, Y. - S., and Benitez, D., An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network., Energy and Buildings, vol. 42, pp. 1038-1046, 2010.
B. Dong, Lam, K. P., and Neuman, C., Integrated building control based on occupant behavior pattern detection and local weather forecasting., in Twelfth International IBPSA Conference, Sydney, Australia, 2011, pp. 14-17.
B. Dong and Andrews, B., Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings, Proceedings of building simulation, 2009.
B. Dong and Lam, K. P., A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting, Building Simulation, vol. 7, pp. 89-106, 2014.
R. H. Dodier, Henze, G. P., Tiller, D. K., and Guo, X., Building occupancy detection through sensor belief networks, Energy and Buildings, vol. 38, pp. 1033-1043, 2006.
F. Doctor, Hagras, H., and Callaghan, V., A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments, Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 35, pp. 55-65, 2005.
M. E. Dietz, Mulford, J., and Case, K., The Utah House: An effective educational tool and catalyst for behavior change?, Building and Environment, vol. 44, pp. 1707-1713, 2009.
J. B. Dick and Thomas, D. A., Ventilation research in occupied houses, Journal of the institution of heating and ventilation engineers, vol. 19, pp. 279-305, 1951.
D. Dewees and Tombe, T., The impact of sub-metering on condominium electricity demand, Canadian Public Policy-Analyse De Politiques, vol. 37, pp. 435-457, 2011.
R. D. Dear and Bragger, G. S., Developing an adaptive model of thermal comfort and preference, ASHRAE Transactions, vol. 104, 1998.
P. de Wilde, The gap between predicted and measured energy performance of buildings: A framework for investigation., Automation in Construction, vol. 41, pp. 40-49, 2014.
T. de Meester, Marique, A. - F., Herde, A. D., and Reiter, S., Impacts of occupant behaviours on residential heating consumption for detached houses in a temperature climate in the northern part of Europe., ENERG BUILDINGS , vol. 57, pp. 313-323, 2013.
M. De Carli, Olesen, B. W., Zarrella, A., and Zecchin, R., People's clothing behaviour according to external weather and indoor environment, Building and Environment, vol. 42, pp. 3965-3973, 2007.
J. Day, Theodorson, J., and Van den Wymelenberg, K., Understanding controls, behaviors and satisfaction in the daylit perimeter office: A daylight design case study, Journal of Interior Design, vol. 37, pp. 17-34, 2012.
J. K. Day and Gunderson, D. E., Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction. , BUILD ENVIRON, vol. 84, pp. 114-124, 2015.
D. Daum and Morel, N., Identifying important state variables for a blind controller, Building and Environment, vol. 45, pp. 887-900, 2010.
D. Daum and Morel, N., Assessing the total energy impact of manual and optimized blind control in combination with different lighting schedules in a building simulation environment, Journal of Building Performance Simulation, vol. 3, pp. 1-16, 2010.
S. Darby, The effectiveness of feedback on energy consumption, Environmental Change Institute, University of Oxford, 2006.
S. Darby, Making it obvious: Designing feedback into energy consumption. 2001, pp. 685-696.
T. Damarla and Kaplan, L. M., A fusion architecture for tracking a group of people using a distributed sensor network, Information Fusion (FUSION), 2013 16th International Conference on. pp. 1776-1783, 2013.
S. D'Oca and Hong, T., Occupancy schedules learning process through a data mining framework, Building and Environment, vol. 88, pp. 395–408, 2015.
S. D'Oca, Corgnati, S. P., Fabi, V., and Andersen, R. K., Effect of thermostat and window opening occupant behavior models on energy use in homes, Building Simulation, vol. 7, no. 6, pp. 683-694, 2014.
S. D'Oca and Hong, T., A data-mining approach to discover patterns of window opening and closing behavior in offices, BUILD ENVIRON, vol. 82, pp. 726-739, 2014.
S. D'Oca, Corgnati, S. P., and Hong, T., Data Mining of Occupant Behavior in Office Buildings, 6th International Conference on Building Physics for a Sustainable Built Environment, vol. 78. Energy Procedia, Turin, Italy, pp. 585-590, 2015.