References:

I. Sartori, A. Napolitano, K. Voss Net zero energy buildings: A consistent definition framework Energy and Buildings, 48 (2012), pp. 220-232

E. Annunziata, M. Frey, F. Rizzi Towards nearly zero-energy buildings: The state-of-art of national regulations in Europe Energy, 57 (2013), pp. 125-133

A. Fotopoulou, G. Semprini, E. Cattani, Y. Schihin, J.Weyer, R. Gulli, et al. Deep renovation in existing residential buildings through façade additions: A case study in a typical residential building of the 70s Energy and Buildings, 166 (2018), pp. 258-270

T. Weng, Y. Agarwal From Buildings to Smart Buildings—Sensing and Actuation to Improve Energy Efficiency IEEE Design & Test of Computers, 29 (2012), pp. 36-44

M. De Groote, M. Fabbri Smart buildings in a decarbonised energy system, Buildings Performance Institute Europe BPIE, Brussels, Belgium (2016)

E. Recast Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast) Official Journal of the European Union, 18 (2010)

F. Ascione, N. Bianco, O. Böttcher, R. Kaltenbrunner, G.P.Vanoli Net zero-energy buildings in Germany: Design, model calibration and lessons learned from a case-study in Berlin Energy and Buildings., 133 (2016), pp. 688-710

D. Calì, T. Osterhage, R. Streblow, D. Müller Energy performance gap in refurbished German dwellings: Lesson learned from a field test Energy and Buildings., 127 (2016), pp. 1146-1158

L.C. Tagliabue, M. Manfren, A.L.C. Ciribini, E. De Angelis Probabilistic behavioural modeling in building performance simulation—The Brescia eLUX lab Energy and Buildings., 128 (2016), pp. 119-131

T. Buso, V. Fabi, R.K. Andersen, S.P. Corgnati Occupant behaviour and robustness of building design Building and Environment., 94 (2015), pp. 694-703

L. Van Gelder, H. Janssen, S. Roels Probabilistic design and analysis of building performances: Methodology and application example Energy and Buildings., 79 (2014), pp. 202-211

S. Lee, I. Bilionis, P. Karava, A. Tzempelikos A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings Building and Environment., 118 (2017), pp. 323-343

I. EBC Annex 66: definition and simulation of occupant behavior in buildings (2013)

D. Yan, T. Hong, B. Dong, A. Mahdavi, S. D’Oca, I. Gaetani, et al. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings Energy Build., 156 (2017), pp. 258-270

D. Yan, W. O’Brien, T. Hong, X. Feng, H. Burak Gunay, F.Tahmasebi, et al. Occupant behavior modeling for building performance simulation: Current state and future challenges Energy Build., 107 (2015), pp. 264-278

H.B. Gunay, W. O’Brien, I. Beausoleil-Morrison A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices Build. Environ., 70 (2013), pp. 31-47

S. Wei, R. Jones, P. de Wilde Driving factors for occupant-controlled space heating in residential buildings Energy and Buildings., 70 (2014), pp. 36-44

M. Jia, R.S. Srinivasan, A.A. Raheem From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency Renewable and Sustainable Energy Reviews., 68 (Part 1) (2017), pp. 525-540

T. Hong, Y. Chen, Z. Belafi, S. D’Oca Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs (2017), pp. 1-14

F. Stazi, F. Naspi, M. D’Orazio A literature review on driving factors and contextual events influencing occupants’ behaviours in buildings Build. Environ., 118 (2017), pp. 40-66

S. Gilani, W. O’Brien Review of current methods, opportunities, and challenges for in-situ monitoring to support occupant modelling in office spaces Journal of Building Performance Simulation., 10 (2017), pp. 444-470

Y. Zhang, X. Bai, F.P. Mills, J.C.V. Pezzey Rethinking the role of occupant behavior in building energy performance: A review Energy Build. (2019)

G. Happle, J.A. Fonseca, A. Schlueter A review on occupant behavior in urban building energy models Energy and Buildings., 174 (2018), pp. 276-292

M. Schweiker, S. Carlucci, R.K. Andersen, B. Dong, W.O’Brien Occupancy and Occupants’ Actions Exploring Occupant Behavior I Buildings, Springer (2018), pp. 7-38

J. Rouleau, L. Gosselin, P. Blanchet Understanding energy consumption in high-performance social housing buildings: A case study from Canada Energy, 145 (2018), pp. 677-690

Z.M. Gill, M.J. Tierney, I.M. Pegg, N. Allan Low-energy dwellings: the contribution of behaviours to actual performance Build. Res. Inf., 38 (2010), pp. 491-508

A. Belleri, R. Lollini, S.M. Dutton Natural ventilation design: An analysis of predicted and measured performance Building and Environment., 81 (2014), pp. 123-138

J. Winkler, J. Munk, J. Woods Effect of occupant behavior and air-conditioner controls on humidity in typical and high-efficiency homes Energy and Buildings., 165 (2018), pp. 364-378

G. Mavromatidis, K. Orehounig, J. Carmeliet A review of uncertainty characterisation approaches for the optimal design of distributed energy systems Renewable and Sustainable Energy Reviews., 88 (2018), pp. 258-277

C.J. Hopfe, J.L.M. Hensen Uncertainty analysis in building performance simulation for design support Energy and Buildings., 43 (2011), pp. 2798-2805

M. Bonte, F. Thellier, B. Lartigue Impact of occupant’s actions on energy building performance and thermal sensation Energy and Buildings., 76 (2014), pp. 219-227

A.S. Silva, E. Ghisi Uncertainty analysis of user behaviour and physical parameters in residential building performance simulation Energy and Buildings., 76 (2014), pp. 381-391

Z. O’Neill, F. Niu Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion Building and Environment., 115 (2017), pp. 157-172

S. Gilani, W. O’Brien, H.B. Gunay Simulating occupants’ impact on building energy performance at different spatial scales Building and Environment., 132 (2018), pp. 327-337

E. Azar, C.C. Menassa A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings Energy and Buildings., 55 (2012), pp. 841-853

P. Hoes, J.L.M. Hensen, M.G.L.C. Loomans, B. de Vries, D.Bourgeois User behavior in whole building simulation Energy and Buildings., 41 (2009), pp. 295-302

F. Haldi, D. Robinson The impact of occupants’ behaviour on building energy demand Journal of Building Performance Simulation., 4 (2011), pp. 323-338

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

S. Gilani, W. O’Brien, H.B. Gunay, J.S. Carrizo Use of dynamic occupant behavior models in the building design and code compliance processes Energy and Buildings., 117 (2016), pp. 260-271

W. Belazi, S. Ouldboukhitine, A. Chateauneuf, A. Bouchair Uncertainty analysis of occupant behavior and building envelope materials in office building performance simulation Journal of Building Engineering., 19 (2018), pp. 434-448

A. Ioannou, L.C.M. Itard Energy performance and comfort in residential buildings: Sensitivity for building parameters and occupancy Energy and Buildings., 92 (2015), pp. 216-233

N. Nord, T. Tereshchenko, L.H. Qvistgaard, I.S. Tryggestad Influence of occupant behavior and operation on performance of a residential Zero Emission Building in Norway Energy and Buildings., 159 (2018), pp. 75-88

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

Z. Pang, Z. O’Neill Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels Applied Energy., 232 (2018), pp. 424-442

J. Munk, J. Winkler Effect of occupant behavior on peak cooling and dehumidification loads in typical and high-efficiency homes Energy and Buildings., 184 (2019), pp. 122-140

S. Gilani, W. O’Brien Exploring the impact of office building users’ modeling approaches on energy use across Canadian climates
Energy and Buildings (2019)

W. Tian A review of sensitivity analysis methods in building energy analysis Renewable and Sustainable Energy Reviews., 20 (2013), pp. 411-419

W. Tian, Y. Heo, P. de Wilde, Z. Li, D. Yan, C.S. Park, et al. A review of uncertainty analysis in building energy assessment Renewable and Sustainable Energy Reviews., 93 (2018), pp. 285-301

I. Gaetani, P. Hoes, J.L.M. Hensen On the sensitivity to different aspects of occupant behaviour for selecting the appropriate modelling complexity in building performance predictions Journal of Building Performance Simulation., 10 (2017), pp. 601-611

R. Baetens, D. Saelens Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour Journal of Building Performance Simulation., 9 (2016), pp. 431-447

B. Talebi, F. Haghighat, P.A. Mirzaei Simplified model to predict the thermal demand profile of districts Energy and Buildings., 145 (2017), pp. 213-225

B. Talebi, F. Haghighat, P. Tuohy, P.A. Mirzaei Validation of a community district energy system model using field measured data Energy., 144 (2018), pp. 694-706

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

R. Evins, K. Orehounig, V. Dorer Variability between domestic buildings: the impact on energy use Journal of Building Performance Simulation., 9 (2016), pp. 162-175

X. Ren, D. Yan, C. Wang Air-conditioning usage conditional probability model for residential buildings Build. Environ., 81 (2014), pp. 172-182

X. Feng, D. Yan, C. Wang On the simulation repetition and temporal discretization of stochastic occupant behaviour models in building performance simulation Journal of Building Performance Simulation., 10 (2017), pp. 612-624

D. Calì, R.K. Andersen, D. Müller, B.W. Olesen Analysis of occupants’ behavior related to the use of windows in German households Building and Environment., 103 (2016), pp. 54-69

S.A. Sadeghi, N.M. Awalgaonkar, P. Karava, I. BilionisA Bayesian modeling approach of human interactions with shading and electric lighting systems in private offices Energy and Buildings., 134 (2017), pp. 185-201

R. Andersen, V. Fabi, J. Toftum, S.P. Corgnati, B.W. Olesen Window opening behaviour modelled from measurements in Danish dwellings Building and Environment., 69 (2013), pp. 101-113

R.V. Jones, A. Fuertes, E. Gregori, A. Giretti Stochastic behavioural models of occupants’ main bedroom window operation for UK residential buildings Building and Environment., 118 (2017), pp. 144-158

M. Yao, B. Zhao Window opening behavior of occupants in residential buildings in Beijing Building and Environment., 124 (2017), pp. 441-449

S. Shi, B. Zhao Occupants’ interactions with windows in 8 residential apartments in Beijing and Nanjing, China Building Simulation, 9 (2016), pp. 221-231

F. Stazi, F. Naspi, M. D’Orazio Modelling window status in school classrooms. Results from a case study in Italy Building and Environment., 111 (2017), pp. 24-32

G.Y. Yun, K. Steemers Time-dependent occupant behaviour models of window control in summer Building and Environment., 43 (2008), pp. 1471-1482

S. Herkel, U. Knapp, J. Pfafferott Towards a model of user behaviour regarding the manual control of windows in office buildings Building and Environment., 43 (2008), pp. 588-600

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

F. Haldi, D. Robinson Interactions with window openings by office occupants Build. Environ., 44 (2009), pp. 2378-2395

N. Li, J. Li, R. Fan, H. Jia Probability of occupant operation of windows during transition seasons in office buildings Renewable Energy., 73 (2015), pp. 84-91

V. Inkarojrit Monitoring and modelling of manually-controlled Venetian blinds in private offices: a pilot study Journal of Building Performance Simulation., 1 (2008), pp. 75-89

F. Haldi, D. Robinson Adaptive actions on shading devices in response to local visual stimuli Journal of Building Performance Simulation., 3 (2010), pp. 135-153

M. Schweiker, M. Shukuya Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions Building and Environment., 44 (2009), pp. 2137-2149

V. Inkarojrit, G. Paliaga Indoor climatic influences on the operation of windows in a naturally ventilated building (2004), pp. 19-22

J.F. Nicol Characterising occupant behaviour in buildings: towards a stochastic model of occupant use of windows, lights, blinds, heaters and fans Proceedings of the 7th International IBPSA Conference, 2 (2001), pp. 1073-1078

S. Schiavon, K.H. Lee Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures Build. Environ., 59 (2013), pp. 250-260

G.A. Fink Markov models for pattern recognition: from theory to applications Springer Science & Business Media (2014)

W. Ching, X. Huang, M.K. Ng, T.K. Siu Markov Chains: Models, Algorithms and Applications (2nd ed.), Springer Publishing Company (2013)

J. Widén, E. Wäckelgård A high-resolution stochastic model of domestic activity patterns and electricity demand Applied Energy., 87 (2010), pp. 1880-1892

J. Widén, A. Molin, K. Ellegård Models of domestic occupancy, activities and energy use based on time-use data: deterministic and stochastic approaches with application to various building-related simulations Journal of Building Performance Simulation., 5 (2012), pp. 27-44

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

R. Fritsch, A. Kohler, M. Nygård-Ferguson, J.-. Scartezzini A stochastic model of user behaviour regarding ventilation Building an Environment., 25 (1990), pp. 173-181

G.Y. Yun, P. Tuohy, K. Steemers Thermal performance of a naturally ventilated building using a combined algorithm of probabilistic occupant behaviour and deterministic heat and mass balance models Energy and Buildings., 41 (2009), pp. 489-499

J. Tanimoto, A. Hagishima State transition probability for the Markov Model dealing with on/off cooling schedule in dwellings Energy and Buildings., 37 (2005), pp. 181-187

S. Wei, R. Buswell, D. Loveday Probabilistic modelling of human adaptive behaviour in non-airconditioned buildings (2010)

E. McKenna, S. Higginson, P. Grunewald, S.J. Darby Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand Energy Efficiency (2017), pp. 1-15

E. McKenna, M. Thomson High-resolution stochastic integrated thermal–electrical domestic demand model Applied Energy., 165 (2016), pp. 445-461

U. Wilke, F. Haldi, J. Scartezzini, D. Robinson A bottom-up stochastic model to predict building occupants’ time-dependent activities Building and Environment., 60 (2013), pp. 254-264

Y. Zhou, Z. Yu, J. Li, Y. Huang, G. Zhang The Effect of Temporal Resolution on the Accuracy of Predicting Building Occupant Behaviour based on Markov Chain Models Procedia Engineering., 205 (2017), pp. 1698-1704

C. Wang, D. Yan, H. Sun, Y. Jiang A generalized probabilistic formula relating occupant behavior to environmental conditions Build. Environ., 95 (2016), pp. 53-62

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

D. Fischer, A. Härtl, B. Wille-Haussmann Model for electric load profiles with high time resolution for German households
Energy and Buildings., 92 (2015), pp. 170-179

Y. Yamaguchi, Y. Shimoda A stochastic model to predict occupants’ activities at home for community-/urban-scale energy demand modelling Journal of Building Performance Simulation., 10 (2017), pp. 565-581

Z. Yu, F. Haghighat, B.C.M. Fung Advances and challenges in building engineering and data mining applications for energy-efficient communities Sustainable Cities and Society., 25 (2016), pp. 33-38

Z. Yu, F. Haghighat, B.C.M. Fung, H. Yoshino A decision tree method for building energy demand modeling Energy and Buildings., 42 (2010), pp. 1637-1646

Z. Yu, F. Haghighat, B.C.M. Fung, E. Morofsky, H.Yoshino A methodology for identifying and improving occupant behavior in residential buildings Energy., 36 (2011), pp. 6596-6608

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

D.F. Motta Cabrera, H. Zareipour Data association mining for identifying lighting energy waste patterns in educational institutes
Energy Build., 62 (2013), pp. 210-216

J. Zhao, B. Lasternas, K.P. Lam, R. Yun, V. Loftness Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining Energy Build., 82 (2014), pp. 341-355

X. Ren, D. Yan, T. Hong Data mining of space heating system performance in affordable housing Build. Environ., 89 (2015), pp. 1-13

S. D’Oca, T. Hong A data-mining approach to discover patterns of window opening and closing behavior in offices Build. Environ., 82 (2014), pp. 726-739

H. Zhou, L. Qiao, Y. Jiang, H. Sun, Q. Chen Recognition of air-conditioner operation from indoor air temperature and relative humidity by a data mining approach Energy Build., 111 (2016), pp. 233-241

K. Basu, L. Hawarah, N. Arghira, H. Joumaa, S. Ploix A prediction system for home appliance usage Energy Build., 67 (2013), pp. 668-679

M. Baptista, A. Fang, H. Prendinger, R. Prada, Y. Yamaguchi Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques (2014), pp. 1164-1170

V.M. Barthelmes, Y. Heo, V. Fabi, S.P. Corgnati Exploration of the Bayesian Network framework for modelling window control behaviour Build. Environ., 126 (2017), pp. 318-330

S.A. Sadeghi, N.M. Awalgaonkar, P. Karava, I. Bilionis A Bayesian modeling approach of human interactions with shading and electric lighting systems in private offices Energy Build., 134 (2017), pp. 185-201

R. Markovic, E. Grintal, D. Wölki, J. Frisch, C. van Treeck Window opening model using deep learning methods Building and Environment., 145 (2018), pp. 319-329

N. Gilbert Agent-based models Sage (2008)

C.J. Andrews, D. Yi, U. Krogmann, J.A. Senick, R.E. Wener Designing buildings for real occupants: An agent-based approach IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans., 41 (2011), pp. 1077-1091

A. Kashif, X.H.B. Le, J. Dugdale, S. Ploix Agent based Framework to Simulate Inhabitants’ Behaviour in Domestic Settings for Energy Management (2011), pp. 190-199

T. Zhang, P. Siebers, U. Aickelin Modelling electricity consumption in office buildings: An agent based approach Energy and Buildings., 43 (2011), pp. 2882-2892

E. Azar, C.C. Menassa Agent-based modeling of occupants and their impact on energy use in commercial buildings J. Comput. Civ. Eng., 26 (2011), pp. 506-518

J. Chen, J.E. Taylor, H. Wei Modeling building occupant network energy consumption decision-making: The interplay between network structure and conservation Energy and Buildings., 47 (2012), pp. 515-524

Y.S. Lee, A.M. Malkawi Simulating multiple occupant behaviors in buildings: An agent-based modeling approach Energy and Buildings., 69 (2014), pp. 407-416

K. Anderson, S. Lee, C. Menassa Impact of social network type and structure on modeling normative energy use behavior interventions J. Comput. Civ. Eng., 28 (2013), pp. 30-39

J. Langevin, J. Wen, P.L. Gurian Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors Building and Environment., 88 (2015), pp. 27-45

S. Papadopoulos, E. Azar Integrating building performance simulation in agent-based modeling using regression surrogate models: A novel human-in-the-loop energy modeling approach Energy and Buildings., 128 (2016), pp. 214-223

V. Fabi, R.V. Andersen, S. Corgnati, B.W. Olesen Occupants’ window opening behaviour: A literature review of factors influencing occupant behaviour and models Building and Environment., 58 (2012), pp. 188-198

W. O’Brien, H.B. Gunay The contextual factors contributing to occupants’ adaptive comfort behaviors in offices – A review and proposed modeling framework Build. Environ., 77 (2014), pp. 77-87

J. Han, J. Pei, M. Kamber Data mining: concepts and techniques Elsevier (2011)

Dronkelaar, C.P. Beaman, A.A. Elmualim, K. Couling Identifying behavioural predictors of small power electricity consumption in office buildings Building and Environment., 92 (2015), pp. 75-85

S. Wei, R. Buswell, D. Loveday Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building Energy and Buildings., 62 (2013), pp. 87-96

Y. Zhang, P. Barrett Factors influencing the occupants’ window opening behaviour in a naturally ventilated office building Building and Environment., 50 (2012), pp. 125-134

Y. Zhang, P. Barrett Factors influencing occupants’ blind-control behaviour in a naturally ventilated office building Building and Environment., 54 (2012), pp. 137-147

J. Yao Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis
Applied Energy., 127 (2014), pp. 64-80

S. Pan, Y. Han, S. Wei, Y. Wei, L. Xia, L. Xie, et al. A model based on Gauss Distribution for predicting window behavior in building Building and Environment., 149 (2019), pp. 210-219

M. Kuhn, K. Johnson Applied predictive modeling Springer (2013)

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

T.H. Da Yan Annex 66 Final ReportL Definition and Simulation of Occupant Behavior in Buildings (2018)

W. O’Brien, K. Kapsis, A.K. Athienitis Manually-operated window shade patterns in office buildings: A critical review Building and Environment., 60 (2013), pp. 319-338

F. Tahmasebi, A. Mahdavi On the utility of occupants’ behavioural diversity information for building performance simulation: An exploratory case study Energy and Buildings., 176 (2018), pp. 380-389

K.B. Janda Building communities and social potential: Between and beyond organizations and individuals in commercial properties Energy Policy., 67 (2014), pp. 48-55

T. Hong, D. Yan, S. D’Oca, C. Chen Ten questions concerning occupant behavior in buildings: The big picture Build. Environ., 114 (2017), pp. 518-530

E. Azar, C. Menassa An agent-based approach to model the effect of occupants’ energy use characteristics in commercial buildings
Computing in Civil Engineering, 2011 (2011), pp. 536-543

W. O’Brien, H.B. Gunay, F. Tahmasebi, A. Mahdavi A preliminary study of representing the inter-occupant diversity in occupant modelling Journal of Building Performance Simulation., 10 (2017), pp. 509-526

F. Haldi, D. Calì, R.K. Andersen, M. Wesseling, D. Müller Modelling diversity in building occupant behaviour: a novel statistical approach Journal of Building Performance Simulation., 10 (2017), pp. 527-544

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

R.K. Andersen, V. Fabi, S.P. Corgnati Predicted and actual indoor environmental quality: Verification of occupants’ behaviour models in residential buildings Energy and Buildings., 127 (2016), pp. 105-115

A. Mahdavi, F. Tahmasebi On the quality evaluation of behavioural models for building performance applications Journal of Building Performance Simulation., 10 (2017), pp. 554-564

A. Mavrogianni, M. Davies, J. Taylor, Z. Chalabi, P.Biddulph, E. Oikonomou, et al. The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor overheating risk in domestic environments Building and Environment., 78 (2014), pp. 183-198

H.B. Gunay, W. O’Brien, I. Beausoleil-Morrison Implementation and comparison of existing occupant behaviour models in EnergyPlus
Journal of Building Performance Simulation., 9 (2016), pp. 567-588

T. Hong, H. Sun, Y. Chen, S.C. Taylor-Lange, D. Yan An occupant behavior modeling tool for co-simulation Energy and Buildings., 117 (2016), pp. 272-281

I. Gaetani, P. Hoes, J.L.M. Hensen Occupant behavior in building energy simulation: Towards a fit-for-purpose modeling strategy
Energy and Buildings., 121 (2016), pp. 188-204

Q. Wang, G. Augenbroe, J. Kim, L. Gu Meta-modeling of occupancy variables and analysis of their impact on energy outcomes of office buildings Applied Energy., 174 (2016), pp. 166-180

B.W. Hobson, D. Lowcay, H.B. Gunay, A. Ashouri, G.R.Newsham Opportunistic occupancy-count estimation using sensor fusion: A case study Building and Environment., 159 (2019), p. 106154