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 
, Delmastro, C., Fabi, V., and Corgnati, S. P., Testing Socio-Economic Demographic Variables on building energy consumption scenarios at the urban scale in Italy, in 8th Mediterranean Congress of HVAC – 2015, Juan-les-Pins, France, 2015.
A
W. Abrahamse, Steg, L., Vlek, C., and Rothengatter, T., A review of intervention studies aimed at household energy conservation., Journal of Environmental Psychology, vol. 25, pp. 417-1430, 2005.
B. Abushakra and Claridge, D. E., Modeling office building occupancy in hourly data-driven and detailed energy simulation programs., ASHRAE Transactions, vol. 114, pp. 472-481, 2008.
K. Ackerly and Brager, G., Window signalling systems: control strategies and
occupant behaviour.
, Building Research & InformationBuilding Research & Information, vol. 41, pp. 37-41, 2013.
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.
K. - U. Ahn, Kim, D. - W., Park, C. - S., and de Wilde, P., Predictability of occupant presence and performance gap in building energy simulation, Applied Energy, 2017.
K. U. Ahn and Park, C. S., Correlation between occupants and energy consumption, Energy and Buildings, vol. 116, pp. 420–433, 2016.
S. Ahuja and Peles, S., Building energy models: Quantifying uncertainties due to stochastic processes., 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). pp. 4814-4820, 2013.
A. Al-Mumin, Khattab, O., and Sridhar, G., Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences, Energy and Buildings, vol. 35, pp. 549-559, 2003.
M. R. Ally, Munk, J. D., Baxter, V. D., and Gehl, A. C., Exergy and energy analysis of a ground-source heat pump for domestic water heating under simulated occupancy conditions, International Journal of Refrigeration, vol. 36, pp. 1417-1430, 2013.
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.
J. An, Yan, D., Deng, G., and Yu, R., Survey and performance analysis of centralized domestic hot water system in China, Energy and Buildings, vol. 133, pp. 321-334, 2016.
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.
R. V. Andersen, Toftum, J., Andersen, K. K., and Olesen, B. W., Survey of occupant behaviour and control of indoor environment in Danish dwellings, Energy and Buildings, vol. 41, pp. 11-16, 2009.
R. Andersen, Fabi, V., Toftum, J., Corgnati, S. P., and Olesen, B. W., Window opening behaviour modelled from measurements in Danish dwellings., Building and Environment, vol. 69, 2013.
P. D. Andersen, Iversen, A., Madsen, H., and Rode, C., Dynamic modeling of presence of occupants using inhomogeneous Markov chains, Energy and Buildings, vol. 69, pp. 213-223, 2014.
K. Anderson, Song, K., Lee, S. H., Lee, H., and Park, M., Energy consumption in households while unoccupied: Evidence from dormitories., Energy and Buildings, vol. 87, pp. 335-341, 2015.
K. Anderson, Lee, S., and Menassa, C., Impact of Social Network Type and Structure on Modeling Normative Energy Use Behavior Interventions, Journal of Computing in Civil Engineering –Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, ASC, vol. 28, no. 1, pp. 30-39, 2014.
C. J. Andrews, Allacci, M. S., Senick, J., Putra, H. C., and Tsoulou, I., Using synthetic population data for prospective modeling of occupant behavior during design, Energy and Buildings, vol. 126, pp. 415-423, 2016.
C. J. Andrews, The Changing Socioeconomic Context of Buildings, Journal of Solar Energy Engineering, vol. 139, no. 1, 2016.
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.
E. Arens, Behavior and Buildings, Newsletter of the Center for the Built Environment at the University of California, Berkeley. Center for the Built Environment, Berkeley, CA, 2010.
M. B. C. Aries, Veitch, J. A., and Newsham, G. R., Windows, view, and office characteristics predict physical and psychological discomfort, Journal of Environmental Psychology, vol. 30, pp. 533-541, 2010.
M. M. Armstrong, Swinton, M. C., Ribberink, H., Beausoleil-Morrison, I., and Millette, J., Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing, Journal of Building Performance Simulation, vol. 2, pp. 15-30, 2009.
D. Arrobe, Martins, J., and Lima, C., Locating and monitoring tenants in PV based buildings, Renewable Energy Research and Applications (ICRERA), 2013 International Conference on. pp. 1112-1116, 2013.
G. Augenbroe, Trends in building simulation, Building and Environment, vol. 37, pp. 891-902, 2002.
E. Azar and Menassa, C., A Comprehensive Analysis of the Impact of Occupancy Parameters in Energy Simulation of Commercial Buildings, Energy and Buildings – Special Issue: Cool Roofs, Cool Pavements, Cool Cities, and Cool World, vol. 55, pp. 841-853, 2012.
E. Azar and Menassa, C., A Framework to Evaluate Energy Saving Potential from Occupancy Interventions in Typical US Commercial Buildings, Journal of Computing in Civil Engineering - Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, ASCE, vol. 28, no. 1, pp. 63-78, 2014.
E. Azar and Menassa, C. C., Optimizing the performance of energy-intensive commercial buildings: Occupancy-focused data collection and analysis approach, Journal of Computing in Civil Engineering, vol. 30, no. 5, p. C4015002, 2016.
E. Azar and Menassa, C. C., A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks, Energy Policy, vol. 67, pp. 459-472, 2014.
E. Azar and Menassa, C. C., Agent-based modeling of occupants and their impact on energy use in commercial buildings., Journal of Computing in Civil Engineering, vol. 26, pp. 506-518, 2011.
E. Azar and Menassa, C., Evaluating the Impact of Extreme Energy Use Behavior on Occupancy Interventions in Commercial Buildings, Energy and Buildings, vol. 97, pp. 205-218, 2015.
B
C. Bae and Chun, C., Research on seasonal indoor thermal environment and residents' control behavior of cooling and heating systems in Korea, Building and Environment, vol. 44, pp. 2300-2307, 2009.
A. S. Bahaj and James, P. A. B., Urban energy generation: The added value of photovoltaics in social housing, Renewable & Sustainable Energy Reviews, vol. 11, pp. 2121-2136, 2007.
N. Baker and Standeven, M., Comfort criteria for passively cooled buildings a pascool task, Renewable energy, vol. 5, pp. 977-984, 1994.
N. Baker and Standeven, M., A behavioural approach to thermal comfort assessment, International Journal of Solar Energy, vol. 19, pp. 21-35, 1997.
N. Baker and Standeven, M., Thermal comfort for free-running buildings, Energy and Buildings, vol. 23, pp. 175-182, 1996.
R. Bălan, Cooper, J., Chao, K. - M., Stan, S., and Donca, R., Parameter identification and model based predictive control of temperature inside a house, Energy and Buildings, vol. 43, pp. 748-758, 2011.
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.
K. Bandurski and Koczyk, H., Influence of stochastic internal heat gains in multifamily buildings on yearly energy demand , INSTAL (in Polish), vol. 12, pp. 55-61, 2015.
V. M. Barthelmes, Becchio, C., and Corgnati, S. P., Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort, Science and Technology for the Built Environment, vol. 22, no. 7, pp. 960-975, 2016.
L. Bartram, Rodgers, J., and Muise, K., Chasing the Negawatt: Visualization for sustainable living, Ieee Computer Graphics and Applications, vol. 30, pp. 8-14, 2010.
N. Batra, Arjunan, P., Singh, A., and Singh, P., Experiences with occupancy based Building Management Systems, Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on. pp. 153-158, 2013.
L. J. Becker, Joint effect of feedback and goal setting on performance: A field study of residential energy conservation, Journal of applied Psychology, vol. 63, pp. 428-433, 1978.
G. Bekö, Toftum, J., and Clausen, G., Modeling ventilation rates in bedrooms based on building characteristics and occupant behavior, Building and Environment, vol. 46, pp. 2230-2237, 2011.
G. Bekö, Lund, T., Nors, F., Toftum, J., and Clausen, G., Ventilation rates in the bedrooms of 500 Danish children, Building and Environment, vol. 45, pp. 2289-2295, 2010.
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.
Y. Benezeth, Laurent, H., Emile, B., and Rosenberger, C., Towards a sensor for detecting human presence and characterizing activity, Energy and Buildings, vol. 43, pp. 305-314, 2011.
M. Bessoudo, Tzempelikos, A., Athienitis, A. K., and Zmeureanu, R., Indoor thermal environmental conditions near glazed facades with shading devices - Part I: Experiments and building thermal model, Building and Environment, vol. 45, pp. 2506-2516, 2010.
A. Bhattacharya and Das, S. K., LeZi-update: An information-theoretic framework for personal mobility tracking in PCS networks, Wirel. Netw., vol. 8, pp. 121-135, 2002.
S. Bin, Greening Work Styles: An analysis of energy behavior programs in the workplace. , 2012.
R. C. Bishop and Frey, D. J., Occupant effects on energy performace of monitored houses, Proceedings of the 10th Naional passive solar conference. pp. 395-400, 1985.
T. S. Blight and Coley, D. A., Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings., Energy and Buildings, vol. 66, pp. 183-192, 2013.
T. Blight and Coley, D. A., Modelling occupant behaviour in low energy buildings: Bridging the energy gap , Paper delivered at “Buildings Don‟t Use Energy, People Do” – Domestic Energy Use and CO2 Emissions in Existing Dwellings, Bath, UK - 28 June 2011Paper delivered at “Buildings Don‟t Use Energy, People Do” – Domestic Energy Use and CO2 Emiss, pp. 56-66, 2011.
P. M. Bluyssen, Fernandes, E. D., Groes, L., Clausen, G., Fanger, P. O., Valbjorn, O., Bernhard, C. A., and Roulet, C. A., European indoor air quality audit project in 56 office buildings, Indoor Air-International Journal of Indoor Air Quality and ClimateIndoor Air-International Journal of Indoor Air Quality and Climate, vol. 6, pp. 221-238, 1996.
P. M. Bluyssen, Aries, M., and Van Dommelen, P., Comfort of workers in office buildings: The European HOPE project, Building and Environment, vol. 46, pp. 280-288, 2011.
D. Bonino, Corno, F., and De Russis, L., Home energy consumption feedback: A user survey, Energy and Buildings, vol. 47, pp. 383-393, 2012.
M. Bonte, Thellier, F., and Lartigue, B., Impact of occupant’s actions on energy building performance and thermal sensation, Energy and Buildings, vol. 76, pp. 219-227, 2014.
B. Bordass, Cohen, R., Standeven, M., and Leaman, A., Assessing building performance in use 2: technical performance of the Probe buildings, Building Research and Information, vol. 29, pp. 103-113, 2001.
D. Bourgeois, Reinhart, C., and Macdonald, I., Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control, Energy and Buildings, vol. 38, pp. 814-823, 2006.
D. J. Bourgeois, Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modelling within whole-building energy simulation, Université Laval Québec, 2005.
G. S. Brager, Mixed-mode cooling, ASHRAE Journal, vol. 48, p. 30-+, 2006.
G. S. Brager, Paliaga, G., and de Dear, R., Operable windows, personal control, and occupant comfort, ASHRAE Transactions, vol. 110, 2004.
G. S. Brager and de Dear, R., A standard for natural ventilation, ASHRAE Journal, vol. 42, p. 21-+, 2000.
G. S. Brager and de Dear, R., Thermal adaptation in the built environment: a literature review, Energy and Buildings, vol. 27, pp. 83-96, 1998.
G. Brager and Baker, L., Occupant satisfaction in mixed-mode buildings, Building Research and Information, vol. 37, pp. 369-380, 2009.
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.
A. Brennan, Chugh, J. S., and Kline, T., Traditional versus open office design - A longitudinal field study, Environment and Behavior, vol. 34, pp. 279-299, 2002.
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.
C. Brown, Gorgolewski, M., and Goodwill, A., Using physical, behavioral, and demographic variables to explain
suite-level energy use in multiresidential buildings
, Building and Environment, vol. 89, pp. 308-317, 2015.
C. A. Brown, Multizone register controlled residential heating: Optimized for energy use and comfort, University of California, Berkeley, 2007.
Z. Brown and Cole, R. J., Influence of occupants' knowledge on comfort expectations and behaviour, Building Research & Information, vol. 37, pp. 227-245, 2009.
G. W. Brundrett, Ventilation: A behavioural approach, Energy Research, vol. 1, pp. 289-298, 1977.
I. Budaiwi and Abdou, A., HVAC system operational strategies for reduced energy consumption in buildings with intermittent occupancy: The case of mosques, Energy Conversion and Management, vol. 73, pp. 37-50, 2013.
J. F. Busch, A tale of 2 polulations - Thermal comfort in air conditioned and naturally ventilates offices in Thailand, Energy and Buildings, vol. 18, pp. 235-249, 1992.
C
S. Carlucci, Lobaccaro, G., Li, Y., Lucchino, E. C., and Ramaci, R., The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building, Energy and Buildings, vol. 127, pp. 279-300, 2016.
H. Chandra-Putra, Chen, J., and Andrews, C. J., Eco-Evolutionary Pathways Toward Industrial Cities, Journal of Industrial Ecology, , vol. 19, no. 2, pp. 274-284, 2015.
Y. Chen, Hong, T., and Luo, X., An agent-based stochastic Occupancy Simulator, Building Simulation, pp. 1-13, 2017.
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.
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.
L. Chenda and Barooah, P., An integrated approach to occupancy modeling and estimation in commercial buildings, American Control Conference (ACC), 2010. 2010 American Control Conference
Marriott Waterfront, Baltimore, MD, USA
June 30-July 02, 2010, pp. 3130-3135, 2010.
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.
T. Cholewa and Siuta-Olcha, A., Long term experimental evaluation of the influence of heat cost allocators on energy consumption in a multifamily building, Energy and Buildings, vol. 104, pp. 122-130, 2015.
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.
T. M. Chung and Burnett, J., On the prediction of lighting energy savings achieved by occupancy sensors, Energy engineering, vol. 98, pp. 6-23, 2001.
J. A. Clarke, Cockroft, J., Conner, S., Hand, J. W., Kelly, N. J., Moore, R., O'Brien, T., and Strachan, P., Simulation-assisted control in building energy management systems, Energy and Buildings, vol. 34, pp. 933-940, 2002.
S. T. Claros and Soler, A., Indoor daylight climate-influence of light shelf and model reflectance on light shelf performance in Madrid for hours with unit sunshine fraction, Building and Environment, vol. 37, pp. 587-598, 2002.
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.
R. J. Cole, Robinson, J., Brown, Z., and O'Shea, M., Re-contextualizing the notion of comfort, Building Research and Information, vol. 36, pp. 323-336, 2008.
R. J. Cole, Green buildings-Reconciling technological change and occupant expectations, Buildings, Culture and Environment: Informing Local and Global Practices, pp. 57-82, 2003.
D. A. Coley, Representin top-hung windows in thermal models, International Journal of Ventilation, vol. 7, pp. 151-158, 2008.
T. Collins, Collins, J. J., and Ryan, C., Occupancy grid mapping: An empirical evaluation, 2007. MED'07. Mediterranean Conference on Control & Automation. IEEE, pp. 1-6, 2007.
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.
D. L. Costa and Kahn, M. E., Do liberal home owners consume less electricity? A test of the voluntary restraint hypothesis, Economics Letters, vol. 119, pp. 210-212, 2013.
C. Coué, Pradalier, C., Laugier, C., Fraichard, T., and Bessière, P., Bayesian occupancy filtering for multitarget tracking: an automotive application, The International Journal of Robotics Research, vol. 25, pp. 19-30, 2006.
T. Crosbie and Baker, K., Energy-efficiency interventions in housing: learning from the inhabitants, Building Research & Information, vol. 38, pp. 70-79, 2010.
D
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.
S. D'Oca and Hong, T., Occupancy schedules learning process through a data mining framework, Building and Environment, vol. 88, pp. 395–408, 2015.
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.
S. D'Oca, Corgnati, S. P., Fabi, V., and Andersen, R. K., Effect of thermostat and window opening occupant behavior models on energy use in homes, Building Simulation, vol. 7, no. 6, pp. 683-694, 2014.
T. Damarla and Kaplan, L. M., A fusion architecture for tracking a group of people using a distributed sensor network, Information Fusion (FUSION), 2013 16th International Conference on. pp. 1776-1783, 2013.
S. Darby, Making it obvious: Designing feedback into energy consumption. 2001, pp. 685-696.
S. Darby, The effectiveness of feedback on energy consumption, Environmental Change Institute, University of Oxford, 2006.
D. Daum and Morel, N., Identifying important state variables for a blind controller, Building and Environment, vol. 45, pp. 887-900, 2010.
D. Daum and Morel, N., Assessing the total energy impact of manual and optimized blind control in combination with different lighting schedules in a building simulation environment, Journal of Building Performance Simulation, vol. 3, pp. 1-16, 2010.
J. K. Day and Gunderson, D. E., Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction. , BUILD ENVIRON, vol. 84, pp. 114-124, 2015.
J. Day, Theodorson, J., and Van den Wymelenberg, K., Understanding controls, behaviors and satisfaction in the daylit perimeter office: A daylight design case study, Journal of Interior Design, vol. 37, pp. 17-34, 2012.
M. De Carli, Olesen, B. W., Zarrella, A., and Zecchin, R., People's clothing behaviour according to external weather and indoor environment, Building and Environment, vol. 42, pp. 3965-3973, 2007.
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.
P. de Wilde, The gap between predicted and measured energy performance of buildings: A framework for investigation., Automation in Construction, vol. 41, pp. 40-49, 2014.
R. D. Dear and Bragger, G. S., Developing an adaptive model of thermal comfort and preference, ASHRAE Transactions, vol. 104, 1998.
D. Dewees and Tombe, T., The impact of sub-metering on condominium electricity demand, Canadian Public Policy-Analyse De Politiques, vol. 37, pp. 435-457, 2011.
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M. E. Dietz, Mulford, J., and Case, K., The Utah House: An effective educational tool and catalyst for behavior change?, Building and Environment, vol. 44, pp. 1707-1713, 2009.
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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.
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M. Eguaras-Martínez, Vidaurre-Arbizu, M., and Martín-Gómez, C., Simulation and evaluation of Building Information Modeling in a real pilot site, APPL ENERG, vol. 114, pp. 475-484, 2014.
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A. F. Emery and Kippenhan, C. J., A long term study of residential home heating consumption and the effect of occupant behavior on homes in the Pacific Northwest constructed according to improved thermal standards, Energy, vol. 31, pp. 677-693, 2006.
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M. Endravadan, Thellier, F., and Monchoux, F., modelling of 'behavioural adjustments' and its impact on energy consumption in offices, RoomVent 2004. 2004.
M. Endravadan, Thellier, F., and Bedrune, J. P., Modelling of occupant-controlled global heating in buildings, Windsor Conference 2004- Closing the loop, vol. 884. Cumberland Lodge, Windsor, UK, pp. 1-10, 2004.
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.
F
J. F, A, G., B, B. - G., T, K., and M, O., User-Led Decentralized Thermal Comfort Driven HVAC Operations for Improved Efficiency in Office Buildings, Journal of Energy and Buildings, vol. 70, pp. 398-410, 2014.
V. Fabi, Andersen, R. V., Corgnati, S., and Olesen, B. W., Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models, Building and Environment, vol. 58, pp. 188-198, 2012.
P. O. Fanger, Ipsen, B. M., Langkilde, G., Olesen, B. W., Christensen, N. K., and Tanabe, S., Comfort limits for asymmetric thermal-radiaiton, Energy and Buildings, vol. 8, pp. 225-236, 1985.
C. C. Federspiel, Martin, R. A., and Yan, H., Recalibration of the complaint prediction model , HVAC&R Research, vol. 10, pp. 179-200, 2004.
C. C. Federspiel, Predicting the frequency and cost of hot and cold complaints in buildings., HVAC&R Research , vol. 6:, pp. 289-305., 2000.
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.
X. Feng, Yan, D., and Hong, T., Simulation of occupancy in buildings, Energy and Buildings, vol. 87, pp. 348-359, 2015.
X. Feng, Yan, D., Yu, R., and Gao, Y., Investigation and modelling of the centralized solar domestic hot water system in residential buildings, Building Simulation, vol. 10, no. 1, pp. 87-96, 2017.
X. Feng, Yan, D., and Wang, C., On the simulation repetition and temporal discretization of stochastic occupant behaviour models in building performance simulation, Journal of Building Performance Simulation, pp. 1-13, 2016.
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