Occupants Behavior Research Bibliography

[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is J  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
J
E. Juodis, Jaraminiene, E., and Dudkiewicz, E., Inherent variability of heat consumption in residential buildings, Energy and Buildings, vol. 41, pp. 1188-1194, 2009.
A. P. Jones, Indoor air quality and health, Atmospheric Environment, vol. 33, pp. 4535-4564, 1999.
T. Johnson and Long, T., Determining the frequency of open windows in residences: A pilot study in Durham, North Carolina during varying temperature conditions, Journal of exposure analysis and environmental epidemiology, vol. 15, pp. 329-349, 2005.
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.
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.
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.
J. D. Jennings, Rubinstein, F. M., DiBartolomeo, D., and Blanc, S. L., Comparison of control options in private offices in an advanced lighting controls testbed, Journal of the Illuminating Engineering Society, vol. 29, p. 39-+, 2000.
F. Jazizadeh and Becerik-Gerber, B., Toward Adaptive Comfort Management in Office Buildings Using Participatory Sensing for End User Driven Control of Building Systems, in 4th ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings, Toronto, Canada, 2012.
F. Jazizadeh, Marin, M. F., and Becerik-Gerber, B., A Thermal Preference Scale for Personalized Comfort Profile Identification via Participatory Sensing, Journal of Building and Environment, vol. 68, pp. 140-149, 2013.
F. Jazizadeh, Ghahramani, A., Becerik-Gerber, B., Kichkaylo, T., and Orosz, M., Human-Building Interaction Framework for Personalized Thermal Comfort Driven Systems in Office Buildings, ASCE Journal of Computing in Civil Engineering, Special Issue: Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, vol. 28, no. 1, pp. 2-16, 2014.
K. B. Janda, Buildings don't use energy: people do, Architectural Science Review, vol. 54, 2011.
J. A. Jakubiec and Reinhart, C. F., The 'adaptive zone' - A concept for assessing discomfort glare throughout daylit spaces, Lighting Research & Technology, vol. 44, pp. 149-170, 2012.
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.