Occupants Behavior Research Bibliography

[ Author(Desc)] Title Type Year
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 
X. Feng, Yan, D., and Hong, T., Simulation of occupancy in buildings, Energy and Buildings, vol. 87, pp. 348-359, 2015.
H. Feriadi and Wong, N. H., Thermal comfort for naturally ventilated houses in Indonesia, Energy and Buildings, vol. 36, pp. 614-626, 2004.
C. Fischer, Feedback on household electricity consumption: a tool for saving energy?, Energy Efficiency , vol. 1, pp. 79-104, 2008.
M. Foster and Oreszczyn, T., Occupant control of passive systems: the use of Venetian blinds, Building and Environment, vol. 36, pp. 149-155, 2001.
J. - S. Franco and Boyer, E., Fusion of multiview silhouette cues using a space occupancy grid, Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, vol. 2. IEEE, Beijing, China, pp. 1747-1753, 2005.
T. Frank, Climate change impacts on building heating and cooling energy demand in Switzerland., Energy and Buildings, vol. 37, pp. 1175-1185, 2005.
D. Frankel, Heck, S., and Tai, H., Sizing the potential of behavioral energy-efficiency initiative in the US residential market, McKinsey & Company, 2013.
R. Fritsch, Kohler, A., Nygardferguson, M., and Scartezzini, J. L., A stochastic-model of user behavior regarding ventilation, Building and Environment, vol. 25, pp. 173-181, 1990.
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.
H. Fujii and Lutzenhiser, L., Japanese residential air-conditioning: natural cooling and intelligent systems, Energy and Buildings, vol. 18, pp. 221-233, 1992.
R. Gade, Jorgensen, A., and Moeslund, T. B., Long-term occupancy analysis using graph-based optimisation in thermal imagery, Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. Portland, OR, pp. 3698-3705, 2013.
I. Gaetani, Hoes, P. - J., and Hensen, J. L., Occupant behavior in building energy simulation: towards a fit-for-purpose modeling strategy, Energy and Buildings, vol. 121, pp. 188-204, 2016.
I. Gaetani, Hoes, P. - J., and Hensen, J. L., On the sensitivity to different aspects of occupant behaviour for selecting the appropriate modelling complexity in building performance predictions, Journal of Building Performance Simulation, pp. 1-11, 2016.
A. D. Galasiu and Veitch, J. A., Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review, Energy and Buildings, vol. 38, pp. 728-742, 2006.
A. D. Galasiu, Newsham, G. R., Suvagau, C., and Sander, D. M., Energy saving lighting control systems for open-plan offices: A field study, Leukos, vol. 4, pp. 7-29, 2007.
R. Galvin, Targeting ‘behavers’ rather than behaviours: A ‘subject-oriented’ approach for reducing space heating rebound effects in low energy dwellings, Energy and Buildings, vol. 67, pp. 596-607, 2013.
V. Garg and Bansal, N. K., Smart occupancy sensors to reduce energy consumption, Energy and Buildings, vol. 32, pp. 81-87, 2000.
L. M. Gartland, Emery, A. F., Sun, Y. S., and Kippenhan, C. J., Residential energy usage and the influence of cooupant behavior, ASME Winter annual meeting, New Orleans, Louisiana. 1993.
S. Gauthier, Aragon, V., James, P., and Anderson, B., Occupancy Patterns Scoping Review Project, Department for Business, Energy & Industrial Strategy, University of Southampton, 2016.
A. Ghahramani, Tang, C., and Becerik-Gerber, B., An Online Learning Approach for Quantifying Personalized Thermal Comfort via Adaptive Stochastic Modeling, Journal of Building and Environment, vol. 92, pp. 86-96, 2015.
A. Ghahramani, Jazizadeh, F., and Becerik-Gerber, B., A Knowledge Based Approach for Selecting Energy- Aware and Comfort-Driven HVAC Temperature Set Points, Journal of Energy and Buildings, vol. 85, pp. 536-548, 2014.
N. Ghiassi, Tahmasebi, F., and Mahdavi, A., Harnessing buildings’ operational diversity in a computational framework for high-resolution urban energy modeling, Building Simulation, pp. 1-17, 2017.
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.
B. Givoni, Characteristics, design implicaitons, and applicability of passive solar heating-systems for buildings , Solar Energy, vol. 47, pp. 425-435, 1991.
S. Goyal, Ingley, H. A., and Barooah, P., Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance, Applied Energy, vol. 106, pp. 209-221, 2013.
K. Gram-Hanssen, Households' energy use - Which is the more important: efficient technologies or user practices?, pp. 992-999, 2011.
K. Gram-Hanssen, Residential heat comfort practices: understanding users, Building Research & InformationBuilding Research & Information, vol. 38, pp. 175-186, 2010.
E. Gratia and De Herde, A., Design of low energy office buildings, Energy and Buildings, vol. 35, pp. 473-491, 2003.
O. Guerra-Santin and Itard, L., Occupants' behaviour: determinants and effects on residential heating consumption, Building Research & Information, vol. 38, pp. 318-338, 2010.
A. Guillemin and Molteni, S., An energy-efficient controller for shading devices self-adapting to the user wishes, Building and Environment, vol. 37, pp. 1091-1097, 2002.
R. Gulbinas and Taylor, J., Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings, Energy and Buildings, vol. 84, pp. 493-500, 2014.
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.
R. Gulbinas, Jain, R., and Taylor, J., BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy, Applied Energy, vol. 136, pp. 1076–1084, 2014.
R. Gulbinas, Khosrowpour, A., and Taylor, J., Segmentation and Classification of Commercial Building Occupants by Energy-Use Efficiency and Predictability, IEEE Transactions on Smart Grid, vol. 6, 3 vol. pp. 1414-1424, 2015.
B. Gunay, O'Brien, W. L., Beausoleil-Morrison, I., D'Oca, S., and Corgnati, S. P., On modelling and simulation of occupant models, in Building Simulation Conference, Hyderabad, India, 2015.
B. H. Gunay, O'Brien, W., Beausoleil-Morrison, I., and Huchuk, B., On adaptive occupant-learning window blind and lighting controls, Building Research & Information, vol. 7, no. 6, pp. 739-756, 2014.
B. H. Gunay, O'Brien, W., Beausoleil-Morrison, I., Goldstein, R., Breslav, S., and Khan, A., Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism, Journal of Building Performance Simulation, vol. 7, pp. 457-478, 2014.
B. H. Gunay, O'Brien, W., and Beausoleil-Morrison, I., A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices, Building and Environment, vol. 70, pp. 31-47, 2013.
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.
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.
S. Hackel and Schuetter, S., Best practices for commissioning automatic daylighting controls, Ashrae Journal, vol. 55, p. 46-+, 2013.
H. Hagras, Callaghan, V., Colley, M., and Clarke, G., A hierarchical fuzzy–genetic multi-agent architecture for intelligent buildings online learning, adaptation and control, Information Sciences, vol. 150, pp. 33-57, 2003.
F. Haldi and Robinson, D., Interactions with window openings by office occupants, Building and Environment, vol. 44, pp. 2378-2395, 2009.
F. Haldi and Robinson, D., The impact of occupants' behaviour on building energy demand, Journal of Building Performance Simulation, vol. 4, pp. 323-338, 2011.
F. Haldi and Robinson, D., On the behaviour and adaptation of office occupants, Building and Environment, vol. 43, pp. 2163-2177, 2008.
F. Haldi and Robinson, D., Modelling occupants' personal characteristics for thermal comfort prediction, International Journal of Biometeorology, vol. 55, pp. 681-694, 2011.
F. Haldi, A probabilistic model to predict building occupants' diversity towards their interactions with the building envelope , Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28. pp. 1475-1482, 2012.
F. Haldi and Robinson, D., Adaptive actions on shading devices in response to local visual stimuli, Journal of Building Performance Simulation, vol. 3, pp. 135-153, 2010.
F. Haldi and Robinson, D., A comprehensive stochastic model of blind usage: theory and validation, Proceedings of the Eleventh International IBPSA Conference. pp. 529-536, 2009.
M. A. Haq, Hassan, M. Y., Abdullah, H., Rahman, H. A., Abdullah, M. P., Hussin, F., and Said, D. M., A review on lighting control technologies in commercial buildings, their performance and affecting factors, Renewable and Sustainable Energy Reviews, vol. 33, pp. 268-279, 2014.