Occupants Behavior Research Bibliography

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J. Hutchins, Ihler, A., and Smyth, P., Modeling count data from multiple sensors: a building occupancy model, Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on. IEEE, pp. 241-244, 2007.
D. R. G. Hunt, Use of artificial lighting in relation to daylight levels and occupancy, Building and Environment, vol. 14, pp. 21-33, 1979.
M. A. Humphreys, Quantifying occupant comfort: are combined indices of the indoor environment practicable?, Building Research & Information, vol. 33, pp. 317-325, 2005.
G. M. Huebner, McMichael, M., Shipworth, D., Shipworth, M., Durand-Daubin, M., and Summerfield, A., Heating patterns in English homes: Comparing results from a national survey against common model assumptions, Building and Environment, vol. 70, pp. 298-305, 2013.
H. Huafen, Jenks, G., Yonghong, H., Milencovic, M., and Hanebutte, U., Information and Communications Technology based solutions in achieving building energy efficiency, Technologies for Sustainability (SusTech), 2013 1st IEEE Conference on. pp. 49-54, 2013.
S. Hu, Yan, D., Cui, Y., and Guo, S., Urban residential heating in hot summer and cold winter zones of China—Status, modeling, and scenarios to 2030, Energy Policy, vol. 92, pp. 158-170, 2016.
S. Hu, Yan, D., Guo, S., Cui, Y., and Dong, B., A survey on energy consumption and energy usage behavior of households and residential building in urban China, Energy and Buildings, vol. 148, pp. 366-378, 2017.
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.
T. Hong, Chen, Y., Belafi, Z., and D’Oca, S., Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs, Building Simulation, pp. 1-14, 2017.
T. Hong, Taylor-Lange, S. C., D’Oca, S., Yan, D., and Corgnati, S. P., Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings, Energy and Buildings, vol. 116, pp. 694-702, 2016.
T. Hong, Chang, W. - K., and Lin, H. - W., A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data, Applied Energy, vol. 111, pp. 333-350, 2013.
T. Hong, D'Oca, S., Taylor-Lange, S. C., Turner, W. J. N., Chen, Y., and Corgnati, S. P., An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema, Building and Environment, vol. 94, no. 1, pp. 196–205, 2015.
T. Hong, Sun, H., Chen, Y., Taylor-Lange, S. C., and Yan, D., An occupant behavior modeling tool for co-simulation, Energy and Buildings, vol. 117, pp. 272-281, 2016.
T. Z. Hong, Zhang, J. Q., and Jiang, Y., IISABRE: An integrated building simulation environment, Building and Environment, vol. 32, pp. 219-224, 1997.
T. Hong and Lin, H. - W., Occupant behavior: Impact on energy use of private offices, LBNL-6128E, 2013.
T. Hong, Yan, D., D'Oca, S., and Chen, C. - F., Ten questions concerning occupant behavior in buildings: the big picture," Building and Environment, vol. 114, pp. 518-530, 2017.
T. Hong, D'Oca, S., and Corgnati, S. P., Data Mining of Occupant Behavior in Office Buildings, in BECC Behavior Energy and Climate Change Conference, Washington DC, USA, 2014.
T. Hong, D’Oca, S., Turner, W. J. N., and Taylor-Lange, S. C., An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework, Building and Environment, vol. 92, 2015.
P. Hoes, Hensen, J. L. M., Loomans, M. G. L. C., de Vries, B., and Bourgeois, D., User behavior in whole building simulation, Energy and Buildings, vol. 41, pp. 295-302, 2009.
A. Heydarian, Carneiro, J. P., Pantazis, E., Gerber, D., and Becerik-Gerber, B., Default Conditions: A Reason for Design to Integrate Human Factors , The First International Symposium on Sustainable Human-Building Ecosystems (ISSHBE). Pittsburgh, PA, USA, 2015.
A. Heydarian, Carneiro, J. P., Gerber, D., Becerik-Gerber, B., Hayes, T., and Wood, W., Immersive Virtual Environments versus Physical Built Environments: A Benchmarking Study for Building Design and User-Built Environment Explorations, Automation in Construction, vol. 54, pp. 116-126, 2015.
A. Heydarian, Carneiro, J. P., Gerber, D., and Becerik-Gerber, B., Immersive Virtual Environments, Understanding the Impact of Design Features and Occupant Choice upon Lighting for Building Performance, Journal of Building and Environment, vol. 89, pp. 217-228, 2015.
E. L. Hewitt, Andrews, C. J., Senick, J. A., Wener, R. E., Krogmann, U., and M. Allacci, S., Distinguishing between green building occupants’ reasoned and unplanned behaviours, Building Research & Information, vol. 44, no. 2, pp. 119-134, 2016.
S. Herkel, Pfafferott, J., and Knapp, U., A preliminary model of user behaviour regarding the manual control of windows in office buildings , vol. 49, pp. 1-6, 2005.
S. Herkel, Knapp, U., and Pfafferott, J., Towards a model of user behaviour regarding the manual control of windows in office buildings, Building and Environment, vol. 43, pp. 588-600, 2008.
W. Heijs and Stringer, P., Research on residential thermal comfort: Some contributions from environmental psychology, Journal of Environmental Psychology, vol. 8, pp. 235-247, 1988.
E. O. Heierman, III and Cook, D. J., Improving home automation by discovering regularly occurring device usage patterns, Data Mining, 2003. ICDM 2003. Third IEEE International Conference on. pp. 537-540, 2003.
J. Heerwagen and Zagreus, L., The human factors of sustainable building design: post occupancy evaluation of the Philip Merrill Environmental Center, 2005.
J. Heerwagen, Green buildings, organizational success and occupant productivity, Building Research and Information, vol. 28, pp. 353-367, 2000.
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.
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.
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.
S. Hackel and Schuetter, S., Best practices for commissioning automatic daylighting controls, Ashrae Journal, vol. 55, p. 46-+, 2013.