Occupants Behavior Research Bibliography

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E
D. Maniccia, Tweed, A., Bierman, A., and Von Neida, B., The effects of changing occupancy sensor time-out setting on energy savings, lamp cycling and maintenance costs, Journal of the Illuminating Engineering Society, vol. 30, pp. 97-110, 2001.
R. Gulbinas and Taylor, J., Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings, Energy and Buildings, vol. 84, pp. 493-500, 2014.
E. Rodriguez-Ubinas, Rodriguez, S., Voss, K., and Todorovic, M. S., Energy efficiency evaluation of zero energy houses, ENERG BUILDINGS, vol. 83, pp. 23-35, 2014.
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.
C. Turner, Frankel, M., and Council, U. G. B., Energy performance of LEED for new construction buildings, New Buildings Institute Vancouver, WA, 2008.
X. Xu, Culligan, P., and Taylor, J., Energy Saving Alignment Strategy: Achieving Energy Efficiency in Urban Buildings by Matching Occupant Temperature Preferences with a Building’s Indoor Thermal Environment, Applied Energy, vol. 123, pp. 209–219, 2014.
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.
I
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.
A. Roetzel and Tsangrassoulis, A., Impact of climate change on comfort and energy performance in offices, Building and Environment, vol. 57, pp. 349-361, 2012.
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.
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.
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.
M. Bessoudo, Tzempelikos, A., Athienitis, A. K., and Zmeureanu, R., Indoor thermal environmental conditions near glazed facades with shading devices - Part I: Experiments and building thermal model, Building and Environment, vol. 45, pp. 2506-2516, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., On the influence of building design, occupants and heat waves on comfort and greenhouse gas emissions in naturally ventilated offices. A study based on the EN 15251 adaptive thermal comfort model in Athens, Greece, Building Simulation: An International Journal, vol. 3, no. 2, pp. 87-103, 2010.
C. Zimring, Joseph, A., Nicoll, G. L., and Tsepas, S., Influences of building design and site design on physical activity: research and intervention opportunities, American Journal of Preventive Medicine, vol. 28, pp. 186-193, 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.
L
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.
C. Turner, LEED building performance in the Cascadia Region: A post occupancy evaluation report, Cascadia Region Green Building Council, 2006.
M
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.
Z. M. Gill, Tierney, M. J., Pegg, I. M., and Allan, N., Measured energy and water performance of an aspiring low energy/carbon affordable housing site in the UK, Energy and Buildings, vol. 43, pp. 117-125, 2011.
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.
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.
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.
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.
M. Endravadan, Thellier, F., and Monchoux, F., modelling of 'behavioural adjustments' and its impact on energy consumption in offices, RoomVent 2004. 2004.
M. Endravadan, Thellier, F., and Bedrune, J. P., Modelling of occupant-controlled global heating in buildings, Windsor Conference 2004- Closing the loop, vol. 884. Cumberland Lodge, Windsor, UK, pp. 1-10, 2004.
O
C. Lee, Tong, J., and Cheng, V., Occupant Behavior in Building Design and Operation, in Proceedings of HK Joint Symposium, 2014.
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.
D. Yan, O’Brien, W., Hong, T., Feng, X., Gunay, H. B., Tahmasebi, F., and Mahdavi, A., Occupant behavior modeling for building performance simulation: Current state and future challenges, Energy and Buildings, vol. 107, pp. 264–278, 2015.
T. Hong, Sun, H., Chen, Y., Taylor-Lange, S. C., and Yan, D., An occupant behavior modeling tool for co-simulation, Energy and Buildings, vol. 117, pp. 272-281, 2016.
A. Ghahramani, Tang, C., and Becerik-Gerber, B., An Online Learning Approach for Quantifying Personalized Thermal Comfort via Adaptive Stochastic Modeling, Journal of Building and Environment, vol. 92, pp. 86-96, 2015.
T. Hong, D'Oca, S., Taylor-Lange, S. C., Turner, W. J. N., Chen, Y., and Corgnati, S. P., An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema, Building and Environment, vol. 94, no. 1, pp. 196–205, 2015.
T. Hong, D’Oca, S., Turner, W. J. N., and Taylor-Lange, S. C., An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework, Building and Environment, vol. 92, 2015.
T. Hong, D'Oca, S., Taylor-Lange, S. C., Turner, W. J. N., Chen, Y., and Corgnati, S. P., An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema, Building and Environment, vol. 94, no. 1, pp. 196–205, 2015.
T. Hong, D’Oca, S., Turner, W. J. N., and Taylor-Lange, S. C., An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework, Building and Environment, vol. 92, 2015.
S
R. Gulbinas, Khosrowpour, A., and Taylor, J., Segmentation and Classification of Commercial Building Occupants by Energy-Use Efficiency and Predictability, IEEE Transactions on Smart Grid, vol. 6, 3 vol. pp. 1414-1424, 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.
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.
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.
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.
D. Frankel, Heck, S., and Tai, H., Sizing the potential of behavioral energy-efficiency initiative in the US residential market, McKinsey & Company, 2013.
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.
Q. Zhang, Yan, D., An, J., Hong, T., Tian, W., and Sun, K., Spatial distribution of internal heat gains: A probabilistic representation and evaluation of its influence on cooling equipment sizing in large office buildings, Energy and Buildings, vol. 139, pp. 407-416, 2017.
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.
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.
V
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.
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.
N. Tuaycharoen and Tregenza, P. R., View and discomfort glare from windows, Lighting Research & Technology, vol. 39, pp. 185-200, 2007.
N. Tuaycharoen and Tregenza, P. R., View and discomfort glare from windows, Lighting Research & Technology, vol. 39, pp. 185-200, 2007.