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Occupants Behavior Research Bibliography

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2018

S. D’Oca, Hong, T., and Langevin, J., “The human dimensions of energy use in buildings: A review”, Renewable and Sustainable Energy Reviews, vol. 81, pp. 731-742, 2018.

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2017

Y. Chen, Hong, T., and Luo, X., “An agent-based stochastic Occupancy Simulator”, Building Simulation, pp. 1-13, 2017.

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K. Sun and Hong, T., “A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures”, Energy and Buildings, vol. 146, pp. 383-396, 2017.

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vanMarken W. Lichtenbelt, Hanssen, M., Pallubinsky, H., Kingma, B., and Schellen, L., “Healthy excursions outside the thermal comfort zone”, Building Research & Information, pp. 1-9, 2017.

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K. Bandurski, Hamerla, M., Szulc, J., and Koczyk, H., “The influence of multifamily apartment building occupants on energy and water consumption – the preliminary results of monitoring and survey campaign”, in International conference on advances in energy systems and environmental engineering (ASEE17), Wrocław, Poland, 2017.

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J. An, Yan, D., Hong, T., and Sun, K., “A novel stochastic modeling method to simulate cooling loads in residential districts”, Applied Energy, vol. 206, pp. 134-149, 2017.

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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.

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W. T. O'Brien, Gaetani, I., Carlucci, S., Hoes, P. - J., and Hensen, J., “On occupant-centric building performance metrics”, Building and Environment, 2017.

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W. T. O'Brien, Gaetani, I., Carlucci, S., Hoes, P. - J., and Hensen, J., “On occupant-centric building performance metrics”, Building and Environment, 2017.

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X. Luo, Lam, K. P., Chen, Y., and Hong, T., “Performance evaluation of an agent-based occupancy simulation model”, Building and Environment, vol. 115, pp. 42-53, 2017.

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P. Xue, Hong, T., Dong, B., and Mak, C., “A preliminary investigation of water usage behavior in single-family homes”, Building Simulation, pp. 1-14, 2017.

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Y. Chen, Liang, X., Hong, T., and Luo, X., “Simulation and visualization of energy-related occupant behavior in office buildings”, Building Simulation, pp. 1-14, 2017.

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K. Sun and Hong, T., “A simulation approach to estimate energy savings potential of occupant behavior measures”, Energy and Buildings, vol. 136, pp. 43-62, 2017.

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Z. Belafi, Hong, T., and Reith, A., “Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary”, Building Simulation, pp. 1-18, 2017.

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Q. Zhang, Yan, D., An, J., Hong, T., Tian, W., and Sun, K., “Spatial distribution of internal heat gains: A probabilistic representation and evaluation of its influence on cooling equipment sizing in large office buildings”, Energy and Buildings, vol. 139, pp. 407-416, 2017.

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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.

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S. D’Oca, Chen, C. - F., Hong, T., and Belafi, Z., “Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings”, Energy Research & Social Science, vol. 34, pp. 240-2, 2017.

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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.

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H. T. Yan, Li, C., Zhang, Q., An, J., and Hu, S., “A thorough assessment of China’s standard for energy consumption of buildings”, Energy and Buildings, vol. 143, pp. 114-128, 2017.

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2016

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.

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A. Meinke, Hawighorst, M., Wagner, A., Trojan, J., and Schweiker, M., “Comfort-related feedforward information: occupants' choice of cooling strategy and perceived comfort”, Building Research and Information, pp. 1-17, 2016.

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X. Yu, Yan, D., Sun, K., Hong, T., and Zhu, D., “Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings”, Applied Energy, vol. 183, pp. 725-736, 2016.

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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.

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C. J. Andrews, Hattis, D., Listokin, D., Senick, J. A., Sherman, G. B., and Souder, J., “Energy-Efficient Reuse of Existing Commercial Buildings”, Journal of the American Planning Association, vol. 82, no. 2, pp. 113-133, 2016.

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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.

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X. Liang, Hong, T., and Shen, G. Q., “Improving the accuracy of energy baseline models for commercial buildings with occupancy data”, Applied Energy, vol. 179, pp. 247-260, 2016.

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M. Schweiker, Hawighorst, M., and Wagner, A., “The influence of personality traits on occupant behavioural patterns”, Energy and Buildings, vol. 131, pp. 63-75, 2016.

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W. O’Brien, Gaetani, I., Gilani, S., Carlucci, S., Hoes, P. - J., and Hensen, J., “International survey on current occupant modelling approaches in building performance simulation”, Journal of Building Performance Simulation, pp. 1-19, 2016.

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X. Liang, Hong, T., and Shen, G. Q., “Occupancy data analytics and prediction: a case study”, Building and Environment, vol. 102, pp. 179-192, 2016.

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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.

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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.

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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.

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W. Tian, Liu, Y., Heo, Y., Yan, D., Lia, Z., An, J., and Yang, S., “Relative importance of factors influencing building energy in urban environment”, Energy, vol. 111, pp. 237-250, 2016.

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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.

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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.

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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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X. Zhou, Yan, D., Hong, T., and Ren, X., “Data analysis and stochastic modeling of lighting energy use in large office buildings in China”, Energy and Buildings, vol. 86, pp. 275-287, 2015.

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S. D'Oca, Corgnati, S. P., and Hong, T., “Data Mining of Occupant Behavior in Office Buildings”, 6th International Conference on Building Physics for a Sustainable Built Environment, vol. 78. Energy Procedia, Turin, Italy, pp. 585-590, 2015.

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X. Ren, Yan, D., and Hong, T., “Data mining of space heating system performance in affordable housing”, Building and Environment, vol. 89, pp. 1-13, 2015.

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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.

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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.

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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.

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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.

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S. D'Oca and Hong, T., “Occupancy schedules learning process through a data mining framework”, Building and Environment, vol. 88, pp. 395–408, 2015.

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D. Yan, O’Brien, W., Hong, T., Feng, X., Gunay, H. B., Tahmasebi, F., and Mahdavi, A., “Occupant behavior modeling for building performance simulation: Current state and future challenges”, Energy and Buildings, vol. 107, pp. 264–278, 2015.

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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.

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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.

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X. Feng, Yan, D., and Hong, T., “Simulation of occupancy in buildings”, Energy and Buildings, vol. 87, pp. 348-359, 2015.

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2014

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.

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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.

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S. D'Oca and Hong, T., “A data-mining approach to discover patterns of window opening and closing behavior in offices”, BUILD ENVIRON, vol. 82, pp. 726-739, 2014.

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K. Stankov and He, D. C., “Detection of buildings in multispectral very high spatial resolution images using the percentage occupancy hit-or-miss transform”, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. PP, pp. 1-1, 2014.

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C. Li, Hong, T., and Yan, D., “An insight into actual energy use and its drivers in high-performance buildings”, Applied Energy, vol. 131, pp. 394-410, 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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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.

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K. Sun, Yan, D., Hong, T., and Guo, S., “Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration”, Building and Environment, vol. 79, pp. 1-12, 2014.

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2013

S. Hackel and Schuetter, S., “Best practices for commissioning automatic daylighting controls”, Ashrae Journal, vol. 55, p. 46-+, 2013.

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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.

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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.

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T. de Meester, Marique, A. - F., Herde, A. D., and Reiter, S., “Impacts of occupant behaviours on residential heating consumption for detached houses in a temperature climate in the northern part of Europe.”, ENERG BUILDINGS , vol. 57, pp. 313-323, 2013.

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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.

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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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L. Seungwoo, Yohan, C., Yunjong, K., Rhan, H., and Hojung, C., “Occupancy prediction algorithms for thermostat control systems using mobile devices”, Smart Grid, IEEE Transactions on, vol. 4, pp. 1332-1340, 2013.

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T. Hong and Lin, H. - W., “Occupant behavior: Impact on energy use of private offices”, LBNL-6128E, 2013.

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R. A. Tanner and Henze, G. P., “Quantifying the impact of occupant behavior in mixed mode buildings”, in ASCE 2013, 2013.

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M. Althoff, Hess, D., and Gambert, F., “Road occupancy prediction of traffic participants”, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 99-105, 2013.

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D. Frankel, Heck, S., and Tai, H., “Sizing the potential of behavioral energy-efficiency initiative in the US residential market”, McKinsey & Company, 2013.

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2012

D. Parker, Mills, E., Rainer, L., Bourassa, N., and Homan, G., “Accuracy of the Home Energy Saver Energy Calculation Methodology. ”, in ACEEE Summer Study on Energy Efficiency in Buildings, 2012.

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A. Meier, Aragon, C., Hurwitz, B., Mujumda, D., Peffer, T., and Perry, D., “How people actually use thermostats”, in In: ACEEE summer study on energy efficiency, Pacific Grove, CA, 2012.

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S. Ilyas, Emery, A., Heerwagen, J., and Heerwegen, D., “Occupant perceptions of an indoor thermal environment in a naturally ventilated building”, ASHRAE Transactions, vol. 118, 2012.

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S. Ilyas, Emery, A., Heerwagen, J., and Heerwegen, D., “Occupant perceptions of an indoor thermal environment in a naturally ventilated building”, ASHRAE Transactions, vol. 118, 2012.

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H. - M. Chen, Lin, C. - W., Hsieh, S. - H., Chao, H. - F., Chen, C. - S., Shiu, R. - S., Ye, S. - R., and Deng, Y. - C., “Persuasive feedback model for inducing energy conservation behaviors of building users based on interaction with a virtual object”, Energy and Buildings, vol. 45, pp. 106-115, 2012.

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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.

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M. Schweiker, Haldi, F., Shukuya, M., and Robinson, D., “Verification of stochastic models of window opening behaviour for residential buildings”, Journal of Building Performance Simulation, vol. 5, pp. 55-74, 2012.

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2011

W. Parys, Saelens, D., and Hens, H., “Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices - a review-based integrated methodology”, Journal of Building Performance Simulation, vol. 4, pp. 339-358, 2011.

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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.

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F. Haldi and Robinson, D., “Modelling occupants' personal characteristics for thermal comfort prediction”, International Journal of Biometeorology, vol. 55, pp. 681-694, 2011.

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Z. Yu, Fung, B. C. M., Haghighat, F., Yoshino, H., and Morofsky, E., “A systematic procedure to study the influence of occupant behavior on building energy consumption”, Energy and Buildings, vol. 43, pp. 1409-1417, 2011.

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J. W. Moon and Han, S. - H., “Thermostat strategies impact on energy consumption in residential buildings”, Energy and Buildings, vol. 43, pp. 338-346, 2011.

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A. J. Marszal, Heiselberg, P., Bourrelle, J. S., Musall, E., Voss, K., Sartori, I., and Napolitano, A., “Zero Energy Building - A review of definitions and calculation methodologies”, Energy and Buildings, vol. 43, pp. 971-979, 2011.

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2010

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.

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B. Dong, Andrews, B., Lam, K. P., Höynck, M., Zhang, R., Chiou, Y. - S., and Benitez, D., “An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network.”, Energy and Buildings, vol. 42, pp. 1038-1046, 2010.

Google Scholar

P. Torcellini, Pless, S., Lobato, C., and Hootman, T., “Main street net-zero energy buildings: The zero energy method in concept and practice”, in Es2010: Proceedings of Asme 4th International Conference on Energy Sustainability, Vol 1, Phoenix, Arizona, 2010, pp. 1009-1017.

Google Scholar

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.

Google Scholar

S. Roaf, Nicol, F., Humphreys, M., Tuohy, P., and Boerstra, A., “Twentieth century standards for thermal comfort: promoting high energy buildings”, Architectural Science Review, vol. 53, pp. 65-77, 2010.

Google Scholar

P. Tuohy, Roaf, S., Nicol, F., Humphreys, M., and Boerstra, A., “Twenty first century standards for thermal comfort: fostering low carbon building design and operation”, Architectural Science Review, vol. 53, pp. 78-86, 2010.

Google Scholar

2009

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.

Google Scholar

H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., Raja, I. A., and Clarke, J., “Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings”, ASHRAE Transactions, vol. 114, p. 555, 2009.

Google Scholar

J. Ouyang and Hokao, K., “Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China”, Energy and Buildings, vol. 41, pp. 711-720, 2009.

Google Scholar

K. P. Lam, Höynck, M., Zhang, R., Andrews, B., Chiou, Y. - S., Dong, B., and Benitez, D., “Information-theoretic environmental features selection for occupancy detection in open offices”, Eleventh International IBPSA Conference, edited by PA Strachan, NJ Kelly and M Kummert, pp. 1460-1467, 2009.

Google Scholar

F. Haldi and Robinson, D., “Interactions with window openings by office occupants”, Building and Environment, vol. 44, pp. 2378-2395, 2009.

Google Scholar

K. P. Lam, Höynck, M., Dong, B., Andrews, B., Chiou, Y. - S., Zhang, R., Benitez, D., and Choi, J., “Occupancy detection through an extensive environmental sensor network in an open-plan office building.”, in IBPSA Building Simulation, 2009, pp. 1452-1459.

Google Scholar

P. Tuohy, Humphreys, M. A., Nicol, J. F., Rijal, H. B., and Clarke, J., “Occupant behavior in naturally ventilated and hybrid buildings”, ASHRAE Transactions, vol. 115, pp. 16-27, 2009.

Google Scholar

L. Peeters, Dear, R. D., Hensen, J., and D’haeseleer, W., “Thermal comfort in residential buildings: Comfort values and scales for building energy simulation”, Applied Energy, vol. 86, pp. 772-780, 2009.

Google Scholar

H. Brohus, Heiselberg, P., Simonsen, A., and Sørensen, K. C., “Uncertainty of energy consumption assessment of domestic buildings.”, Building Simulation, Eleventh International IBPSA ConferenceBuilding Simulation, Eleventh International IBPSA Conference, pp. 1022-1029, 2009.

Google Scholar

H. B. Rijal, Humphreys, M. A., and Nicol, J. F., “Understanding occupant behaviour: the use of controls in mixed-mode office buildings”, Building Research & Information, vol. 37, pp. 381-396, 2009.

Google Scholar

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.

Google Scholar

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.

Google Scholar

2008

F. Haldi and Robinson, D., “On the behaviour and adaptation of office occupants”, Building and Environment, vol. 43, pp. 2163-2177, 2008.

Google Scholar

E. Shove, Chappells, H., Lutzenhiser, L., and Hackett, B., “Comfort in a lower carbon society”, Building Research & Information, vol. 36, pp. 307-311, 2008.

Google Scholar

H. B. Rijal, Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J., “Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings”, Journal of Building Performance Simulation, vol. 1, pp. 17-30, 2008.

Google Scholar

J. Tanimoto, Hagishima, A., and Sagara, H., “A methodology for peak energy requirement considering actual variation of occupants’ behavior schedules”, Building and Environment, vol. 43, pp. 610-619, 2008.

Google Scholar

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.

Google Scholar

F. Offermann, Cih, P. E., Pe, S. B., Hodgson, A., Jenkins, P., ,, Springer, D., and Eit, T. W., “Window usage, ventilation and formaldehyde concentrations in new California homes”, pp. 17-22, 2008.

Google Scholar

2007

H. Zhang, Arens, E., Fard, S. A., Huizenga, C., Paliaga, G., Brager, G., and Zagreus, L., “Air movement preferences observed in office buildings”, International journal of biometeorology, vol. 51, pp. 349-60, 2007.

Google Scholar

J. Ü. Pfafferott, Herkel, S., Kalz, D. E., and Zeuschner, A., “Comparison of low-energy office buildings in summer using different thermal comfort criteria”, Energy and Buildings, vol. 39, pp. 750-757, 2007.

Google Scholar

T. T. Chow, He, W., and Ji, J., “An experimental study of facade-integrated photovoltaic/water-heating system”, Applied Thermal Engineering, vol. 27, pp. 37-45, 2007.

Google Scholar

A. K. Melikov and Hlavaty, R., “Identification of occupants’ activities in practice”, Proceedings of International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings IAQVEC, vol. 1. pp. 317-324, 2007.

Google Scholar

F. Nicol and Humphreys, M., “Maximum temperatures in European office buildings to avoid heat discomfort”, Solar Energy, vol. 81, pp. 295-304, 2007.

Google Scholar

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.

Google Scholar

J. Teizer, Caldas, C. H., and Haas, C. T., “Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources”, Journal of Construction Engineering and Management, vol. 133, pp. 880-888, 2007.

Google Scholar

J. Pfafferott and Herkel, S., “Statistical simulation of user behaviour in low-energy office buildings”, Solar energy, vol. 81, pp. 676-682, 2007.

Google Scholar

H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., and Clarke, J., “Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings”, Energy and Buildings, vol. 39, pp. 823-836, 2007.

Google Scholar

2006

R. H. Dodier, Henze, G. P., Tiller, D. K., and Guo, X., “Building occupancy detection through sensor belief networks”, Energy and Buildings, vol. 38, pp. 1033-1043, 2006.

Google Scholar

C. M. Clevenger and Haymaker, J., “The impact of the building occupant on energy modeling simulations”, Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada. Citeseer, pp. 1-10, 2006.