Occupants Behavior Research Bibliography

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C. H. Putra, Andrews, C. J., and Senick, J. A., An agent-based model of building occupant behavior during load shedding, Building Simulation, 2017.
D. A. Purser and Bensilum, M., Quantification of behaviour for engineering design standards and escape time calculations, Safety Science, vol. 38, pp. 157-182, 2001.
P. N. Price and Sherman, M. H., Ventilation behavior and household characteristics in new California houses, Lawrence Berkeley National Lab Report, 2006.
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.
J. Robert Polastre, Design and implementation of wireless sensor networks for habitat monitoring, Department of Electrical Engineering and Computer Sciences, University of California, 2003.
B. Poel, van Cruchten, G., and Balaras, C. A., Energy performance assessment of existing dwellings, Energy and Buildings, vol. 39, pp. 393-403, 2007.
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.
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.
P. Pfrommer, Lomas, K. J., and Kupke, C., Solar radiation transport through slat-type blinds: A new model and its application for thermal simulation of buildings, Solar Energy, vol. 57, pp. 77-91, 1996.
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.
J. Pfafferott, Herkel, S., and Jäschke, M., Design of passive cooling by night ventilation: evaluation of a parametric model and building simulation with measurements, Energy and Buildings, vol. 35, pp. 1129-1143, 2003.
J. Pfafferott and Herkel, S., Statistical simulation of user behaviour in low-energy office buildings, Solar energy, vol. 81, pp. 676-682, 2007.
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.
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.
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.
V. Pavlovas, Demand controlled ventilation: A case study for existing Swedish multifamily buildings, Energy and Buildings, vol. 36, pp. 1029-1034, 2004.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
J. Page, Robinson, D., and Scartezzini, J. - L., Simulating occupant presence and behaviour in buildings, 2007.