Occupants Behavior Research Bibliography

Author Title [ Type(Desc)] Year
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Conference Proceedings
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.
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.
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.
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.
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.
Journal Article
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.
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.
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.
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. 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.
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.
P. O. Fanger, Ipsen, B. M., Langkilde, G., Olesen, B. W., Christensen, N. K., and Tanabe, S., Comfort limits for asymmetric thermal-radiaiton, Energy and Buildings, vol. 8, pp. 225-236, 1985.
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.
T. Maier, Krzaczek, M., and Tejchman, J., Comparison of physical performances of the ventilation systems in low-energy residential houses, Energy and Buildings, vol. 41, pp. 337-353, 2009.
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.
L. Klein, Kwak, J., Kavulya, G., Jazizadeh, F., Becerik-Gerber, B., Varakantham, P., and Tambe, M., Coordinating Occupant Behavior for Building and Comfort Management Using Multi-Agent Systems, Journal of Automation in Construction, vol. 22, pp. 515-536, 2012.
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. Yguel, Tay, C., Keat, M., Braillon, C., Laugier, C., and Aycard, O., Dense mapping for range sensors: Efficient algorithms and sparse representations, 2007.
A. Mahdavi and Tahmasebi, F., The deployment-dependence of occupancy-related models in building performance simulation, Energy and Buildings, 2015.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., Raja, I. A., and Clarke, J., Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings, ASHRAE Transactions, vol. 114, p. 555, 2009.
H. B. Rijal, Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J., Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings, Journal of Building Performance Simulation, vol. 1, pp. 17-30, 2008.
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.
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.
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.
N. Ghiassi, Tahmasebi, F., and Mahdavi, A., Harnessing buildings’ operational diversity in a computational framework for high-resolution urban energy modeling, Building Simulation, pp. 1-17, 2017.
I. Richardson, Thomson, M., and Infield, D., A high-resolution domestic building occupancy model for energy demand simulations, Energy and Buildings, vol. 40, pp. 1560-1566, 2008.
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.
S. Thrun, Learning occupancy grid maps with forward sensor models, Autonomous robots, vol. 15, pp. 111-127, 2003.
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.
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.
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.
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.
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. Mahdavi and Tahmasebi, F., Predicting people’s presence in buildings: An empirically based model performance analysis., ENERG BUILDINGS, vol. 86, pp. 349-355., 2015.
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.
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.
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.
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.
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.
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.
G. Newsham, Arsenault, C., Veitch, J., Tosco, A. M., and Duval, C., Task lighting effects on office worker satisfaction and performance , and energy efficiency , pp. 7-26, 2005.
G. Y. Yun, Tuohy, P., and Steemers, K., Thermal performance of a naturally ventilated building using a combined algorithm of probabilistic occupant behaviour and deterministic heat and mass balance models, Energy and Buildings, vol. 41, pp. 489-499, 2009.
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.
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. 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.
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.
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.
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.
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.