Occupants Behavior Research Bibliography

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S. Wei, Hassan, T. M., Firth, S. K., and Fouchal, F., Impact of occupant behaviour on the energy-saving potential of retrofit measures for a public building in the UK, Intelligent Buildings International, vol. 1, no. 11, 2016.
X. Liang, Hong, T., and Shen, G. Q., Improving the accuracy of energy baseline models for commercial buildings with occupancy data, Applied Energy, vol. 179, pp. 247-260, 2016.
D. Yan, Jiang, Y., and Shi, X., Influence of asynchronous demand behavior on overcooling in multiple zone AC systems, Building and Environment, vol. 110, pp. 65-75, 2016.
X. Zhou, Yan, D., Feng, X., Deng, G., Jian, Y., and Jiang, Y., Influence of household air-conditioning use modes on the energy performance of residential district cooling systems, Building Simulation, vol. 9, pp. 429-441, 2016.
M. Schweiker, Hawighorst, M., and Wagner, A., The influence of personality traits on occupant behavioural patterns, Energy and Buildings, vol. 131, pp. 63-75, 2016.
F. Tahmasebi and Mahdavi, A., An inquiry into the reliability of window operation models in building performance simulation, Building and Environment, vol. 105, pp. 343–357, 2016.
W. O’Brien, Gaetani, I., Gilani, S., Carlucci, S., Hoes, P. - J., and Hensen, J., International survey on current occupant modelling approaches in building performance simulation, Journal of Building Performance Simulation, pp. 1-19, 2016.
A. Heydarian, Carneiro, J. P., Gerber, D., and Becerik-Gerber, B., Immersive Virtual Environments, Understanding the Impact of Design Features and Occupant Choice upon Lighting for Building Performance, Journal of Building and Environment, vol. 89, pp. 217-228, 2015.
A. Heydarian, Carneiro, J. P., Gerber, D., Becerik-Gerber, B., Hayes, T., and Wood, W., Immersive Virtual Environments versus Physical Built Environments: A Benchmarking Study for Building Design and User-Built Environment Explorations, Automation in Construction, vol. 54, pp. 116-126, 2015.
J. .Hetherington, Roetzel, A., and Fuller, R., The impact of occupant behaviour on residential greenhouse gas emissions reduction, Journal of Green Building, vol. 10, no. 4, pp. 127-140, 2015.
Y. Xiong, Krogmann, U., Mainelis, G., Rodenburg, L. A., and Andrews, C. J., Indoor air quality in green buildings: A case-study in a residential high-rise building in the northeastern United States, Journal of Environmental Science and Health, vol. 50, no. 3, pp. 225-242, 2015.
V. M. Zavala, Inference of building occupancy signals using moving horizon estimation and Fourier regularization (submitted), Journal of Process Control, 2015.
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.
B. K. Sovacool, Ryan, S. E., Stern, P. C., Janda, K., Rochlin, G., Spreng, D., Pasqualetti, M. J., Wilhite, H., and Lutzenhiser, L., Integrating social science in energy research, ENERG RES SOC SCI , vol. 6, pp. 95-99, 2015.
S. Guo, Yan, D., Peng, C., Cui, Y., Zhou, X., and Hu, S., Investigation and analyses of residential heating in the HSCW climate zone of China: Status quo and key features, Building and Environment, vol. 94, pp. 532-542, 2015.
R. Yu, Yan, D., and Feng, X., Investigation and Modelling of the Centralized Solar Domestic Hot Water System in Residential Buildings, in The 8th international cold climate HVAC Conference, Dalian, China, 2015.
A. Roetzel, Tsangrassoulis, A., and Dietrich, U., Impact of building design and occupancy on office comfort and energy performance in different climates, Building and Environment, vol. 71, pp. 165-175, 2014.
S. Jeong, Gulbinas, R., Jain, R., and Taylor, J., The impact of combined water and energy consumption eco-feedback on conservation, Energy and Buildings, vol. 80, pp. 114-119, 2014.
M. Bonte, Thellier, F., and Lartigue, B., Impact of occupant’s actions on energy building performance and thermal sensation, Energy and Buildings, vol. 76, pp. 219-227, 2014.
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.
J. H. K. Lai, Influence of Personal Attributes on Perception of Residential Facilities Management Services, Facilities, vol. 32, no. 9/10, pp. 509-521, 2014.
C. Li, Hong, T., and Yan, D., An insight into actual energy use and its drivers in high-performance buildings, Applied Energy, vol. 131, pp. 394-410, 2014.
C. M. Stoppel and Leite, F., Integrating probabilistic methods for describing occupant presence with building energy simulation models, Energy and Buildings, vol. 68, Part A, pp. 99-107, 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.
F. Oldewurtel, Sturzenegger, D., and Morari, M., Importance of occupancy information for building climate control, Applied Energy, vol. 101, pp. 521-532, 2013.
T. Ryan and Vipperman, J. S., Incorporation of scheduling and adaptive historical data in the Sensor-Utility-Network method for occupancy estimation, Energy and Buildings, vol. 61, pp. 88-92, 2013.
T. Chiang, Mevlevioglu, G., Natarajan, S., Padget, J., and Walker, I., Inducing [sub]conscious energy behaviour through visually displayed energy information: A case study in university accommodation, Energy and Buildings, vol. 70, pp. 507-515, 2013.
H. Huafen, Jenks, G., Yonghong, H., Milencovic, M., and Hanebutte, U., Information and Communications Technology based solutions in achieving building energy efficiency, Technologies for Sustainability (SusTech), 2013 1st IEEE Conference on. pp. 49-54, 2013.
T. Weiherer, Bouzouraa, S., and Hofmann, U., An interval based representation of occupancy information for driver assistance systems, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 21-27, 2013.
G. Mcgill, An investigation of indoor air quality in UK energy efficient homes : A case study, 2013.
A. K. Melikov and Hlavaty, R., Identification of occupants’ activities in practice, Proceedings of International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings IAQVEC, vol. 1. pp. 317-324, 2007.
A. Tzempelikos and Athienitis, A. K., The impact of shading design and control on building cooling and lighting demand, Solar Energy, vol. 81, pp. 369-382, 2007.
N. Motegi, Piette, M. A., Watson, D. S., Kiliccote, S., and Xu, P., Introduction to commercial building control strategies and techniques for demand response, Lawrence Berkeley National Laboratory LBNL-59975, 2007.
C. M. Clevenger and Haymaker, J., The impact of the building occupant on energy modeling simulations, Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada. Citeseer, pp. 1-10, 2006.
H. Yoshino, Yoshino, Y., Zhang, Q., Mochida, A., Li, N., Li, Z., and Miyasaka, H., Indoor thermal environment and energy saving for urban residential buildings in China, Energy and Buildings, vol. 38, pp. 1308-1319, 2006.
E. O. Heierman, III and Cook, D. J., Improving home automation by discovering regularly occurring device usage patterns, Data Mining, 2003. ICDM 2003. Third IEEE International Conference on. pp. 537-540, 2003.
A. P. Jones, Indoor air quality and health, Atmospheric Environment, vol. 33, pp. 4535-4564, 1999.
T. Z. Hong, Zhang, J. Q., and Jiang, Y., IISABRE: An integrated building simulation environment, Building and Environment, vol. 32, pp. 219-224, 1997.
C. Dubrul, Inhabitant behaviour with respect to ventilation, UK, ISBN 0 946075 36 0, (AIVC Technical Note 23), 1988.