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Occupants Behavior Research Bibliography

Author Title Type [ Year

]

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2017

C. H. Putra, Andrews, C. J., and Senick, J. A., “An agent-based model of building occupant behavior during load shedding”, Building Simulation, 2017.

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S. Pan, Wang, X., Wei, Y., Zhang, X., Gal, C., Ren, G., Yan, D., Shi, Y., Wu, J., Xia, L., Xie, J., and Liu, J., “Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences”, Building Simulation, pp. 1-10, 2017.

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J. Lindner, Park, S., and Mitterhofer, M., “Determination of requirements on occupant behavior models for the use in building performance simulations”, Building Simulation, pp. 1-14, 2017.

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H. Pallubinsky, Kingma, B. R., Schellen, L., Dautzenberg, B., van Baak, M. A., and Lichtenbelt, W. D. van Mar, “The effect of warmth acclimation on behaviour, thermophysiology and perception”, Building Research & Information, pp. 1-8, 2017.

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vanMarken W. Lichtenbelt, Hanssen, M., Pallubinsky, H., Kingma, B., and Schellen, L., “Healthy excursions outside the thermal comfort zone”, Building Research & Information, pp. 1-9, 2017.

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K. - U. Ahn, Kim, D. - W., Park, C. - S., and de Wilde, P., “Predictability of occupant presence and performance gap in building energy simulation”, Applied Energy, 2017.

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H. Pallubinsky, Schellen, L., Kingma, B., Dautzenberg, B., van Baak, M., and W. Lichtenbelt, vanMarken, “Thermophysiological adaptations to passive mild heat acclimation”, Temperature, pp. 1-11, 2017.

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J. Kim, de Dear, R., Parkinson, T., and Candido, C., “Understanding patterns of adaptive comfort behaviour in the Sydney mixed-mode residential context”, Energy and Buildings, vol. 141, pp. 274-283, 2017.

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2016

A. P. Patton, Calderon, L., Xiong, Y., Wang, Z., Senick, J., Allacci, M. A. Sorensen, Plotnik, D., Wener, R., Andrews, C. J., Krogmann, U., and Mainelis, G., “Airborne Particulate Matter in Two Multi-Family Green Buildings: Concentrations and Effect of Ventilation and Occupant Behavior”, International Journal of Environmental Research and Public Health, vol. 13, no. 1, p. 144, 2016.

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K. U. Ahn and Park, C. S., “Correlation between occupants and energy consumption”, Energy and Buildings, vol. 116, pp. 420–433, 2016.

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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.

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2015

S. Wei, Xu, C., Pan, S., Su, J., Wang, Y., Luo, X., Hassan, T., Firth, S., Fouchal, F., Jones, R., and de Wilde, P., “Analysis of factors influencing the modelling of occupant window opening behaviour in an office building in Beijing, China”, in Building Simulation Conference, Hyderabad, India, 2015.

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A. Heydarian, Carneiro, J. P., Pantazis, E., Gerber, D., and Becerik-Gerber, B., “Default Conditions: A Reason for Design to Integrate Human Factors ”, The First International Symposium on Sustainable Human-Building Ecosystems (ISSHBE). Pittsburgh, PA, USA, 2015.

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K. Anderson, Song, K., Lee, S. H., Lee, H., and Park, M., “Energy consumption in households while unoccupied: Evidence from dormitories.”, Energy and Buildings, vol. 87, pp. 335-341, 2015.

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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.

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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.

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E. J. Palacios-Garcia, Chen, A., Santiago, I., Bellido-Outeirino, F. J., Flores-Arias, J. M., and Moreno-Munoz, A., “Stochastic model for lighting’s electricity consumption in the residential sector. Impact of energy saving actions”, Energy and Buildings, vol. 89, pp. 245–259, 2015.

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2014

A. J. Ruiz, Blunck, H., Prentow, T. S., Stisen, A., and Kjærgaard, M. B., “Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning.”, in PerCom, 2014.

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N. van de Meugheuvel, Pandharipande, A., Caicedo, D., and van den Hof, P. P. J., “Distributed lighting control with daylight and occupancy adaptation”, Energy and Buildings, vol. 75, pp. 321-329, 2014.

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M. Pothitou, Kolios, A. J., Varga, L., and Gu, S., “A framework for targeting household energy savings through habitual behavioral change.”, International Journal of Sustainable Energy, 2014.

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A. L. Pisello and Asdrubali, F., “Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies”, APPL ENERG , vol. 133, pp. 224-235, 2014.

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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.

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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.

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S. Paudel, Elmtiri, M., Kling, W. L., Corre, O. L., and Lacarrière, B., “Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network”, Energy and Buildings, vol. 70, pp. 81-93, 2014.

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B. K. Sovacool, Ryan, S. E., Stern, P. C., Janda, K., Rochlin, G., Spreng, D., Pasqualetti, M. J., Wilhite, H., and Lutzenhiser, L., “What are we doing here? Analyzing fifteen years of energy scholarship and proposing a social science research agenda”, ENERG RES SOC SCI, pp. 1-29, 2014.

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2013

S. Ahuja and Peles, S., “Building energy models: Quantifying uncertainties due to stochastic processes.”, 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). pp. 4814-4820, 2013.

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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.

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T. Ekwevugbe, Brown, N., Pakka, V., and Fan, D., “Real-time building occupancy sensing using neural-network based sensor network”, Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on. pp. 114-119, 2013.

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A. Kashif, Ploix, S., Dugdale, J., and Le, X. H. B., “Simulating the dynamics of occupant behavior for power management in residential buildings.”, ENERG BUILDINGS , vol. 56, pp. 85-93, 2013.

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P. Jianli, Jain, R., Biswas, P., Weining, W., Addepalli, S., and Paul, S., “Toward an energy-proportional building prospect: Evaluation and analysis of the energy consumption in a green building testbed”, Energytech, 2013 IEEE. pp. 1-6, 2013.

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2012

D. Parker, Mills, E., Rainer, L., Bourassa, N., and Homan, G., “Accuracy of the Home Energy Saver Energy Calculation Methodology. ”, in ACEEE Summer Study on Energy Efficiency in Buildings, 2012.

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A. Meier, Aragon, C., Hurwitz, B., Mujumda, D., Peffer, T., and Perry, D., “How people actually use thermostats”, in In: ACEEE summer study on energy efficiency, Pacific Grove, CA, 2012.

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A. Meier, Aragon, C., Hurwitz, B., Mujumda, D., Peffer, T., and Perry, D., “How people actually use thermostats”, in In: ACEEE summer study on energy efficiency, Pacific Grove, CA, 2012.

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2011

W. Parys, Saelens, D., and Hens, H., “Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices - a review-based integrated methodology”, Journal of Building Performance Simulation, vol. 4, pp. 339-358, 2011.

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E. F. Pino, de la Flor, F. J. Sanchez, and De Herde, A., “Definition of occupant behaviour patterns with respect to ventilation by means of multivariate statistical techniques”, 32nd AIVC Conference and 1st TightVent Conference: Towards Optimal Airtightness Performance. Brussels, Belgium, 2011.

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T. Peffer, Pritoni, M., Meier, A., Aragon, C., and Perry, D., “How people use thermostats in homes: A review”, Building and Environment, vol. 46, pp. 2529-2541, 2011.

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T. Peffer, Pritoni, M., Meier, A., Aragon, C., and Perry, D., “How people use thermostats in homes: A review”, Building and Environment, vol. 46, pp. 2529-2541, 2011.

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T. Peffer, Pritoni, M., Meier, A., Aragon, C., and Perry, D., “How people use thermostats in homes: A review”, Building and Environment, vol. 46, pp. 2529-2541, 2011.

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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.

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C. Peng, Yan, D., Wu, R., Wang, C., Zhou, X., and Jiang, Y., “Quantitative description and simulation of human behavior in residential buildings”, Building Simulation, vol. 5, pp. 85-94, 2011.

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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.

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2009

L. Peeters, Dear, R. D., Hensen, J., and D’haeseleer, W., “Thermal comfort in residential buildings: Comfort values and scales for building energy simulation”, Applied Energy, vol. 86, pp. 772-780, 2009.

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A. Mahdavi and Pröglhof, C., “Toward empirically-based models of people's presence and actions in buildings ”, Eleventh International IBPSA Conference. Building Simulation 2009, Glasgow, Scotland, pp. 537-544, 2009.

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2008

J. Page, Robinson, D., Morel, N., and Scartezzini, J. L., “A generalised stochastic model for the simulation of occupant presence”, Energy and Buildings, vol. 40, pp. 83-98, 2008.

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S. Herkel, Knapp, U., and Pfafferott, J., “Towards a model of user behaviour regarding the manual control of windows in office buildings”, Building and Environment, vol. 43, pp. 588-600, 2008.

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F. Offermann, Cih, P. E., Pe, S. B., Hodgson, A., Jenkins, P., ,, Springer, D., and Eit, T. W., “Window usage, ventilation and formaldehyde concentrations in new California homes”, pp. 17-22, 2008.

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2007

K. Pathak, Birk, A., Poppinga, J., and Schwertfeger, S., “3D forward sensor modeling and application to occupancy grid based sensor fusion”, Proceedings of the 2007 IEEE/RSJ International
Conference on Intelligent Robots and Systems. IEEE, San Diego, CA, pp. 2059-2064, 2007.

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H. Zhang, Arens, E., Fard, S. A., Huizenga, C., Paliaga, G., Brager, G., and Zagreus, L., “Air movement preferences observed in office buildings”, International journal of biometeorology, vol. 51, pp. 349-60, 2007.

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M. Rowe, Lane, S., and Phipps, C., “CareWatch: A home monitoring system for use in homes of persons with cognitive impairment”, Topics in geriatric rehabilitation, vol. 23, p. 3, 2007.

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J. Ü. Pfafferott, Herkel, S., Kalz, D. E., and Zeuschner, A., “Comparison of low-energy office buildings in summer using different thermal comfort criteria”, Energy and Buildings, vol. 39, pp. 750-757, 2007.

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B. Poel, van Cruchten, G., and Balaras, C. A., “Energy performance assessment of existing dwellings”, Energy and Buildings, vol. 39, pp. 393-403, 2007.

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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.

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F. Karlsson, Rohdin, P., and Persson, M. L., “Measured and predicted energy demand of a low energy building: Important aspects when using building energy simulation”, Building Services Engineering Research & Technology, vol. 28, pp. 223-235, 2007.

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J. Page, Robinson, D., and Scartezzini, J. - L., “Simulating occupant presence and behaviour in buildings”, 2007.

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J. Pfafferott and Herkel, S., “Statistical simulation of user behaviour in low-energy office buildings”, Solar energy, vol. 81, pp. 676-682, 2007.

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J. Page, Robinson, D., and Scartezzini, J. - L., “Stochastic simulation of occupant presence and behaviour in buildings”, Proc. Tenth Int. IBPSA Conf: Building Simulation. 2007.

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A. Mahdavi, Lambeva, L., Mohammdi, A., Kabir, E., and Pröglhof, C., “Two case studies on user interactions with buildings' environmental systems ”, BAUPHYSIK, vol. 29, pp. 72-75, 2007.

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2006

C. Coué, Pradalier, C., Laugier, C., Fraichard, T., and Bessière, P., “Bayesian occupancy filtering for multitarget tracking: an automotive application”, The International Journal of Robotics Research, vol. 25, pp. 19-30, 2006.

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M. T. Lah, Zupancic, B., Peternelj, J., and Krainer, A., “Daylight illuminance control with fuzzy logic”, Solar Energy, vol. 80, pp. 307-321, 2006.

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P. N. Price and Sherman, M. H., “Ventilation behavior and household characteristics in new California houses”, Lawrence Berkeley National Lab Report, 2006.

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2005

A. Melikov, Pitchurov, G., Naydenov, K., and Langkilde, G., “Field study on occupant comfort and the office thermal environment in rooms with displacement ventilation”, Indoor air, vol. 15, pp. 205-14, 2005.

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S. Herkel, Pfafferott, J., and Knapp, U., “A preliminary model of user behaviour regarding the manual control of windows in office buildings ”, vol. 49, pp. 1-6, 2005.

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P. Stepan, Kulich, M., and Preucil, L., “Robust data fusion with occupancy grid”, Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 35, pp. 106-115, 2005.