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Occupants Behavior Research Bibliography

Author Title Type [ Year

]

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1990

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.

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1996

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.

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2001

W. S. Conner, Krishnamurthy, L., and Want, R., “Making everyday life easier using dense sensor networks”, Ubicomp 2001: Ubiquitous Computing. Springer, pp. 49-55, 2001.

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V. I. Soebarto and Williamson, T. J., “Multi-criteria assessment of building performance: theory and implementation”, Building and Environment, vol. 36, pp. 681-690, 2001.

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C. F. Reinhart and Walkenhorst, O., “Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds”, Energy and Buildings, vol. 33, pp. 683-697, 2001.

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2002

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.

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C. Howard-Reed, Wallace, L. A., and Ott, W. R., “The effect of opening windows on air change rates in two homes”, Journal of the Air & Waste Management Association (1995), vol. 52, pp. 147-59, 2002.

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2004

H. Staats, Harland, P., and Wilke, H. A. M., “Effecting durable change - A team approach to improve environmental behavior in the household”, Environment and Behavior, vol. 36, pp. 341-367, 2004.

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G. Branco, Lachal, B., Gallinelli, P., and Weber, W., “Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data”, Energy and Buildings, vol. 36, pp. 543-555, 2004.

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H. Feriadi and Wong, N. H., “Thermal comfort for naturally ventilated houses in Indonesia”, Energy and Buildings, vol. 36, pp. 614-626, 2004.

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2005

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.

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D. Wang, Federspiel, C. C., and Rubinstein, F., “Modeling occupancy in single person offices”, Energy and Buildings, vol. 37, pp. 121-126, 2005.

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K. Engvall, Wickman, P., and Norbäck, D., “Sick building syndrome and perceived indoor environment in relation to energy saving by reduced ventilation flow during heating season: a 1 year intervention study in dwellings.”, Indoor air, vol. 15, pp. 120-6, 2005.

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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.

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2006

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.

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F. Nicol and Wilson, M., “Measurements of desktop illuminance in European offices to investigate its dependence on outdoor conditions and its effect on occupant satisfaction , and the use of lights and blinds”, vol. 38, pp. 802-813, 2006.

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2007

A. Wheeler, “Commercial applications of wireless sensor networks using ZigBee”, Communications Magazine, IEEE, vol. 45, pp. 70-77, 2007.

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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.

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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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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.

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2008

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.

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Y. G. Yohanis, Mondol, J. D., Wright, A., and Norton, B., “Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use”, Energy and Buildings, vol. 40, pp. 1053-1059, 2008.

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D. P. Wyon and Wargocki, P., “Window-opening behaviour when classroom temperature and air quality are manipulated experimentally”, 2008.

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D. P. Wyon and Wargocki, P., “Window-opening behaviour when classroom temperature and air quality are manipulated experimentally”, 2008.

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2010

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.

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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.

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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.

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S. Wei, Buswell, R., and Loveday, D., “Probabilistic modelling of human adaptive behaviour in non-air- conditioned buildings”, vol. 55, pp. 9-11, 2010.

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2011

C. F. Reinhart and Wienold, J., “The daylighting dashboard - A simulation-based design analysis for daylit spaces”, Building and Environment, vol. 46, pp. 386-396, 2011.

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A. C. G. Warner and Warner, B. Y. C. G., “Measurements of the Ventilation of Dwellings ”, vol. 40, pp. 125-153, 2011.

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A. C. G. Warner and Warner, B. Y. C. G., “Measurements of the Ventilation of Dwellings ”, vol. 40, pp. 125-153, 2011.

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C. Wang, Yan, D., and Jiang, Y., “A novel approach for building occupancy simulation”, Building Simulation, vol. 4, pp. 149-167, 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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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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2012

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.

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M. Frontczak, Schiavon, S., Goins, J., Arens, E., Zhang, H., and Wargocki, P., “Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design”, Indoor Air, vol. 22, pp. 119-131, 2012.

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2013

M. Langerwisch and Wagner, B., “Building variable resolution occupancy maps assuming unknown but bounded sensor errors”, Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. pp. 4687-4693, 2013.

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K. Nyarko and Wright-Brown, C., “Cloud based passive building occupancy characterization for attack and disaster response”, Technologies for Homeland Security (HST), 2013 IEEE International Conference on. pp. 748-753, 2013.

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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.

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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. 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.

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C. Manna, Fay, D., Brown, K. N., and Wilson, N., “Learning occupancy in single person offices with mixtures of multi-lag Markov Chains”, Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on. pp. 151-158, 2013.

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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.

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J. Langevin, Wen, J., and Gurian, P. L., “Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants”, Building and Environment, vol. 69, 2013.

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T. Sookoor and Whitehouse, K., “Roomzoner: Occupancy-based room-level zoning of a centralized HVAC system”, Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on. pp. 209-218, 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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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.

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2014

X. Ren, Yan, D., and Wang, C., “Air-conditioning usage conditional probability model for residential buildings”, Building and Environment, vol. 81, pp. 172-182, 2014.

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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.

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Q. Wang and J., T., “Energy saving practice diffusion in online networks”, Energy and Buildings, vol. 76, pp. 622-630, 2014.

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D. Aerts, Minnen, J., Glorieux, I., Wouters, I., and Descamps, F., “A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison.”, Building and Environment, vol. 75, pp. 67-78, 2014.

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M. Schweiker, Brasche, S., Hawighorst, M., Bischof, W., and Wagner, A., “Presenting lobster, an innovative climate chamber, and the analysis of the effect of a ceiling fan on the thermal sensation and performance under summer conditions in an office-like setting”, 8th Windsor Conference: Counting the Cost of Comfort in a changing world. Cumberland Lodge, Windsor, UK, pp. 924 – 937, 2014.

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E. Naghiyev, Gillott, M., and Wilson, R., “Three unobtrusive domestic occupancy measurement technologies under qualitative review”, Energy and Buildings, vol. 69, pp. 507-514, 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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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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Y. Jian, Li, Y., Wei, S., Zhang, Y., and Bai, Z., “A Case Study on Household Electricity Uses and Their Variations Due to Occupant Behavior in Chinese Apartments in Beijing”, Journal of Asian Architecture and Building , vol. 14, no. 3, 2015.

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X. Feng, Yan, D., and Wang, C., “Classification of occupant air-conditioning behavior patterns”, in 14th International Conference of the International Building Performance Simulation Association , Hyderabad, India, 2015.