Occupants Behavior Research Bibliography

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A. Tzempelikos, Athienitis, A. K., and Karava, P., Simulation of facade and envelope design options for a new institutional building, Solar Energy, vol. 81, pp. 1088-1103, 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.
C. Turner, Frankel, M., and Council, U. G. B., Energy performance of LEED for new construction buildings, New Buildings Institute Vancouver, WA, 2008.
C. Turner, LEED building performance in the Cascadia Region: A post occupancy evaluation report, Cascadia Region Green Building Council, 2006.
P. Tuohy, Roaf, S., Nicol, F., Humphreys, M., and Boerstra, A., Twenty first century standards for thermal comfort: fostering low carbon building design and operation, Architectural Science Review, vol. 53, pp. 78-86, 2010.
P. Tuohy, Humphreys, M. A., Nicol, J. F., Rijal, H. B., and Clarke, J., Occupant behavior in naturally ventilated and hybrid buildings, ASHRAE Transactions, vol. 115, pp. 16-27, 2009.
N. Tuaycharoen and Tregenza, P. R., View and discomfort glare from windows, Lighting Research & Technology, vol. 39, pp. 185-200, 2007.
L. Tronchin and Fabbri, K., Energy performance building evaluation in Mediterranean countries: Comparison between software simulations and operating rating simulation, Energy and Buildings, vol. 40, pp. 1176-1187, 2008.
J. Torriti, The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model, Utilities Policy, vol. 27, pp. 49-56, 2013.
P. Torcellini, Pless, S., Lobato, C., and Hootman, T., Main street net-zero energy buildings: The zero energy method in concept and practice, in Es2010: Proceedings of Asme 4th International Conference on Energy Sustainability, Vol 1, Phoenix, Arizona, 2010, pp. 1009-1017.
J. Toftum, Central automatic control or distributed occupant control for better indoor environment quality in the future, Building and Environment, vol. 45, pp. 23-28, 2010.
W. Tian, Liu, Y., Heo, Y., Yan, D., Lia, Z., An, J., and Yang, S., Relative importance of factors influencing building energy in urban environment, Energy, vol. 111, pp. 237-250, 2016.
S. Thrun, Learning occupancy grid maps with forward sensor models, Autonomous robots, vol. 15, pp. 111-127, 2003.
S. Thrun, Learning occupancy grids with forward models, Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on, vol. 3. IEEE, pp. 1676-1681, 2001.
J. Teizer, Caldas, C. H., and Haas, C. T., Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources, Journal of Construction Engineering and Management, vol. 133, pp. 880-888, 2007.
M. Taylor, Grant, T., Knoefel, F., and Goubran, R., Bed occupancy measurements using under mattress pressure sensors for long term monitoring of community-dwelling older adults, Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on. pp. 130-134, 2013.
R. A. Tanner and Henze, G. P., Quantifying the impact of occupant behavior in mixed mode buildings, in ASCE 2013, 2013.
J. Tanimoto, Hagishima, A., and Sagara, H., A methodology for peak energy requirement considering actual variation of occupants’ behavior schedules, Building and Environment, vol. 43, pp. 610-619, 2008.
J. Tanimoto and Hagishima, A., State transition probability for the Markov Model dealing with on/off cooling schedule in dwellings, Energy and Buildings, vol. 37, pp. 181-187, 2005.
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.
F. Tahmasebi, Mostofi, S., and Mahdavi, A., Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results, 6th International Building Physics Conference, vol. 78. pp. 567–572, 2015.
F. Tahmasebi and Mahdavi, A., The sensitivity of building performance simulation results to the choice of occupants’ presence models: a case study, Journal of Building Performance Simulation, 2015.
A. Taherkordi, Rouvoy, R., Le-Trung, Q., and Eliassen, F., A self-adaptive context processing framework for wireless sensor networks, Proceedings of the 3rd international workshop on Middleware for sensor networks. ACM, pp. 7-12, 2008.
Y. Tachwali, Refai, H., and Fagan, J. E., Minimizing HVAC energy consumption using a wireless sensor network, Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. IEEE, pp. 439-444, 2007.
V. Tabak and de Vries, B., Methods for the prediction of intermediate activities by office occupants, Building and Environment, vol. 45, pp. 1366-1372, 2010.