Occupants Behavior Research Bibliography

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2016
T. Hong, Taylor-Lange, S. C., D’Oca, S., Yan, D., and Corgnati, S. P., Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings, Energy and Buildings, vol. 116, pp. 694-702, 2016.
A. Meinke, Hawighorst, M., Wagner, A., Trojan, J., and Schweiker, M., Comfort-related feedforward information: occupants' choice of cooling strategy and perceived comfort, Building Research and Information, pp. 1-17, 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.
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.
W. O’Brien, Gunay, H. B., Tahmasebi, F., and Mahdavi, A., A preliminary study of representing the inter-occupant diversity in occupant modelling, Journal of Building Performance Simulation, pp. 1-18, 2016.
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.
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.
2015
A. Mahdavi and Tahmasebi, F., The deployment-dependence of occupancy-related models in building performance simulation, Energy and Buildings, 2015.
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.
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.
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., 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., 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., 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.
A. Mahdavi and Tahmasebi, F., Predicting people’s presence in buildings: An empirically based model performance analysis., ENERG BUILDINGS, vol. 86, pp. 349-355., 2015.
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.
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.
2014
R. Gulbinas, Jain, R., and Taylor, J., BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy, Applied Energy, vol. 136, pp. 1076–1084, 2014.
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.
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.
R. Jain, Smith, K., Culligan, P., and Taylor, J., Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy, Applied Energy, vol. 123, pp. 168-178, 2014.
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.
R. Gulbinas, Jain, R., Taylor, J., Peschiera, G., and Golparvar-Fard, M., Network eco-informatics: Development of a social eco-feedback system to drive energy efficiency in residential buildings, ASCE Journal of Computing in Civil Engineering, vol. 28, pp. 89-98, 2014.
X. Xu, Taylor, J., and Pisello, A., Network synergy effect: Establishing a synergy between building network and peer network energy conservation effects, Energy and Buildings, vol. 68, pp. 312-320, 2014.
C. Lee, Tong, J., and Cheng, V., Occupant Behavior in Building Design and Operation, in Proceedings of HK Joint Symposium, 2014.
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.
J. F, A, G., B, B. - G., T, K., and M, O., User-Led Decentralized Thermal Comfort Driven HVAC Operations for Improved Efficiency in Office Buildings, Journal of Energy and Buildings, vol. 70, pp. 398-410, 2014.
2013
M. A. López-Rodríguez, Santiago, I., Trillo-Montero, D., Torriti, J., and Moreno-Munoz, A., Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption, Energy Policy, vol. 62, pp. 742-751, 2013.
M. A. López-Rodríguez, Santiago, I., Trillo-Montero, D., Torriti, J., and Moreno-Munoz, A., Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption, Energy Policy, vol. 62, pp. 742-751, 2013.
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.
G. R. Newsham, Birt, B. J., Arsenault, C., Thompson, A. J. L., Veitch, J. A., Mancini, S., Galasiu, A. D., Gover, B. N., Macdonald, I. A., and Burns, G. J., Do "green' buildings have better indoor environments? New evidence, Building Research and Information, vol. 41, pp. 415-434, 2013.
R. A. Tanner and Henze, G. P., Quantifying the impact of occupant behavior in mixed mode buildings, in ASCE 2013, 2013.
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.
D. Frankel, Heck, S., and Tai, H., Sizing the potential of behavioral energy-efficiency initiative in the US residential market, McKinsey & Company, 2013.
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.
2011
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Context dependency of comfort and energy performance in mixed mode offices, Journal of Building Performance Simulation, Special Issue: Modelling Occupants' Presence and Behaviour – Part , vol. 4, no. 4, pp. 303-322, 2011.
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.
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.
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.
2010
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Balancing buildings and occupants - a holistic approach to thermal comfort and greenhouse gas emissions in mixed mode offices, in Adapting to Change: New Thinking on Comfort, Windsor, UK, 2010.
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.
K. Kapsis, Tzempelikos, A., Athienitis, A. K., and Zmeureanu, R. G., Daylighting performance evaluation of a bottom-up motorized roller shade, Solar Energy, vol. 84, pp. 2120-2131, 2010.
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.
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.
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.
X. Guo, Tiller, D. K., Henze, G. P., and Waters, C. E., The performance of occupancy-based lighting control systems: A review, Lighting Research & Technology, vol. 42, pp. 415-431, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., A review of occupant control on natural ventilation, Renewable and Sustainable Energy Reviews, vol. 14, pp. 1001-1013, 2010.
S. Roaf, Nicol, F., Humphreys, M., Tuohy, P., and Boerstra, A., Twentieth century standards for thermal comfort: promoting high energy buildings, Architectural Science Review, vol. 53, pp. 65-77, 2010.
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.
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.
2007
M. Yguel, Tay, C., Keat, M., Braillon, C., Laugier, C., and Aycard, O., Dense mapping for range sensors: Efficient algorithms and sparse representations, 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.
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.
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.
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.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., and Clarke, J., Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings, Energy and Buildings, vol. 39, pp. 823-836, 2007.
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.
2001
B. Von Neida, Manicria, D., and Tweed, A., An analysis of the energy and cost savings potential of occupancy sensors for commercial lighting systems, Journal of the Illuminating Engineering Society, vol. 30, pp. 111-125, 2001.
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.
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.
1951
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.