Occupants Behavior Research Bibliography

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D. P. Wyon and Wargocki, P., Window-opening behaviour when classroom temperature and air quality are manipulated experimentally, 2008.
G. Wood and Newborough, M., Energy-use information transfer for intelligent homes: Enabling energy conservation with central and local displays, Energy and Buildings, vol. 39, pp. 495-503, 2007.
S. Wolf, Schweiker, M., Wagner, A., and van Treeck, C., Revisiting validation methods of occupant behaviour models, Healthy Buildings Europe. Eindhoven, the Netherland, 2015.
D. H. Wilson and Atkeson, C., Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors, in Pervasive computing, Springer, 2005, pp. 62-79.
H. Wilhite, Nakagami, H., Masuda, T., Yamaga, Y., and Haneda, H., A cross-cultural analysis of household energy use behaviour in Japan and Norway, Energy Policy, vol. 24, pp. 795-803, 1996.
J. Wienold and Christoffersen, J., Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras, Energy and Buildings, vol. 38, pp. 743-757, 2006.
J. Widén and Wäckelgård, E., A high-resolution stochastic model of domestic activity patterns and electricity demand, Applied Energy, vol. 87, pp. 1880-1892, 2010.
A. Wheeler, Commercial applications of wireless sensor networks using ZigBee, Communications Magazine, IEEE, vol. 45, pp. 70-77, 2007.
J. Weisenberg, Cuddihy, P., and Rajiv, V., Augmenting motion sensing to improve detection of periods of unusual inactivity, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments. ACM, p. 2, 2008.
N. Weis, Siemers, U., and Kopiske, G., Development and validation of a visual ventilation guiding device (VVGD) for use in dwellings , pp. 3389-3394, 2005.
J. S. Weihl and Gladhart, P. M., Occupant behavior and successful energy conservation: Findings and implications of behavioral monitoring, ACEEE summer study on energy efficiency in buildings, Human dimensions. 1990.
T. Weiherer, Bouzouraa, S., and Hofmann, U., An interval based representation of occupancy information for driver assistance systems, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 21-27, 2013.
S. Wei, Hassan, T. M., Firth, S. K., and Fouchal, F., Impact of occupant behaviour on the energy-saving potential of retrofit measures for a public building in the UK, Intelligent Buildings International, vol. 1, no. 11, 2016.
S. Wei, Jones, R., and de Wilde, P., Driving factors for occupant-controlled space heating in residential buildings, Energy and Buildings, vol. 70, pp. 36-44, 2014.
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.
S. Wei, Buswell, R., and Loveday, D., Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building, Energy and Buildings, vol. 62, pp. 87-96, 2013.
S. Wei, Buswell, R., and Loveday, D., Probabilistic modelling of human adaptive behaviour in non-air- conditioned buildings, vol. 55, pp. 9-11, 2010.
K. Weekly, Donghyun, R., Lin, Z., Bayen, A. M., Nazaroff, W. W., and Spanos, C. J., Low-cost coarse airborne particulate matter sensing for indoor occupancy detection, Automation Science and Engineering (CASE), 2013 IEEE International Conference on. pp. 32-37, 2013.
A. C. G. Warner and Warner, B. Y. C. G., Measurements of the Ventilation of Dwellings , vol. 40, pp. 125-153, 2011.
Q. Wang and J., T., Energy saving practice diffusion in online networks, Energy and Buildings, vol. 76, pp. 622-630, 2014.
C. Wang, Yan, D., Sun, H., and Jiang, Y., A generalized probabilistic formula relating occupant behavior to environmental conditions, Building and Environment, vol. 95, pp. 53-62, 2016.
M. Wang, Zhang, G., and Li, C., Whole building operation optimal control system based on an occupancy sensor network, Control Conference (CCC), 2013 32nd Chinese. pp. 6439-6444, 2013.
C. Wang, Yan, D., and Ren, X., Modeling individual’s light switching behavior to understand lighting energy use of office building, in CUE2015-Applied Energy Symposium and Summit 2015: Low carbon cities and urban energy systems, Fuzhou, China, 2015.
D. Wang, Federspiel, C. C., and Rubinstein, F., Modeling occupancy in single person offices, Energy and Buildings, vol. 37, pp. 121-126, 2005.
C. Wang, Yan, D., Sun, H., and Jiang, Y., A generalized probabilistic formula relating occupant behavior to environmental conditions, Building and Environment, vol. 95, pp. 53–62, 2016.
C. Wang, Yan, D., and Jiang, Y., A novel approach for building occupancy simulation, Building Simulation, vol. 4, pp. 149-167, 2011.
L. A. Wallace, Emmerich, S. J., and Howard-Reed, C., Continious measurements of air cjange artes in an occupied house for 1 year: The effects of temperature, wind, fans, and windows, Journal of exposure analysis and environmental epidemiology, vol. 12, pp. 296-306, 2002.
F. Wahl, Milenkovic, M., and Amft, O., A green autonomous self-sustaining sensor node for counting people in office environments, Education and Research Conference (EDERC), 2012 5th European DSP. IEEE, pp. 203-207, 2012.
A. Wagner, Gossauer, E., Moosmann, C., Gropp, T. H., and Leonhart, R., Thermal comfort and workplace occupant satisfaction—Results of field studies in German low energy office buildings, Energy and Buildings, vol. 39, pp. 758-769, 2007.