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X. Feng, D. Yan, T. Hong Simulation of occupancy in buildings Energy Build., 87 (2015), pp. 348-359

D. Yan, W. O'Brien, T. Hong, X. Feng, H.B. Gunay, F. Tahmasebi, A. Mahdavi Occupant behavior modeling for building performance simulation: current state and future challenges Energy Build., 107 (2015), pp. 264-278

W. Shen, G. Newsham, B. Gunay Leveraging existing occupancy-related data for optimal control of commercial office buildings: a review Adv. Eng. Inf., 33 (2017), pp. 230-242

T. Hong, S. D'Oca, W.J. Turner, S.C. Taylor-Lange An ontology to represent energy-related occupant behavior in buildings. Part I: introduction to the DNAs framework Build. Environ., 92 (2015), pp. 764-777

N. Li, G. Calis, B. Becerik-Gerber Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations Autom. ConStruct., 24 (2012), pp. 89-99

S. Salimi, A. Hammad Critical Review and Research Roadmap of Office Building Energy Management Based on Occupancy Monitoring Energy and Buildings (2018)

M.M. Soltani, A. Motamedi, A. Hammad Enhancing Cluster-based RFID Tag Localization using artificial neural networks and virtual reference tags Autom. ConStruct., 54 (2015), pp. 93-105

J. Yang, M. Santamouris, S.E. Lee Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings Energy Build., 121 (2016), pp. 344-349

W. Wang, J. Chen, X. Song Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach Build. Environ., 124 (2017), pp. 130-142

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W.K. Chang, T. Hong Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data In Building Simulation, 6 (1) (2013), pp. 23-32

J. Virote, R. Neves-Silva Stochastic models for building energy prediction based on occupant behavior assessment Energy Build., 53 (2012), pp. 183-193

S. Wei, J. Yong, B. Ng, J. Tindall, Q. Lu, H. Du Occupant adaptive behaviour: an effective method towards energy efficient buildings CIBSE Technical Symposium, London, UK (2018)

Y. Yamaguchi, Y. Shimoda, M. Mizuno Development of district energy system simulation model based on detailed energy demand model In Proceeding of Eighth International IBPSA Conference, Eindhoven, Netherlands (2003)

J. Page, D. Robinson, N. Morel, J.L. Scartezzini A generalised stochastic model for the simulation of occupant presence Energy Build., 40 (2) (2008), pp. 83-98

K.P. Lam, M. Höynck, B. Dong, B. Andrews, Y.S. Chiou, R. Zhang, D. Benitez, J. Choi Occupancy detection through an extensive environmental sensor network in an open-plan office building IBPSA Building Simulation, Glasgow, Scotland (2009), p. 145

B. Dong, B. Andrews, K.P. Lam, M. Höynck, R. Zhang, Y.S. Chiou, D. Benitez An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network Energy Build., 42 (7) (2010), pp. 1038-1046

B. Dong, K.P. Lam Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network Journal of Building Performance Simulation, 4 (4) (2011), pp. 359-369

V.L. Erickson, M.Á. Carreira-Perpiñán, A.E. Cerpa OBSERVE: occupancy-based system for efficient reduction of HVAC energy Information Processing in Sensor Networks (IPSN), 10th International Conference, Chicago, Illinois(2011)

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J.R. Dobbs, B.M. Hencey Predictive HVAC control using a Markov occupancy model American Control Conference (ACC), Portland, Oregon, USA (2014)

J.R. Dobbs, B.M. Hencey Model predictive HVAC control with online occupancy model Energy Build., 82 (2014), pp. 675-684

B. Ai, Z. Fan, R.X. Gao Occupancy estimation for smart buildings by an auto-regressive hidden Markov model American Control Conference (ACC), Portland, Oregon, USA (2014)

Z. Yang, B. Becerik-Gerber Modeling personalized occupancy profiles for representing long term patterns by using ambient context Build. Environ., 78 (2014), pp. 23-35

Z. Chen, J. Xu, Y.C. Soh Modeling regular occupancy in commercial buildings using stochastic models Energy Build., 103 (2015), pp. 216-223

Z. Chen, Y.C. Soh Modeling building occupancy using a novel inhomogeneous Markov chain approach Automation Science and Engineering (CASE), 2014 IEEE International Conference (2014)

C. Sandels, J. Widén, L. Nordström Simulating occupancy in office buildings with non-homogeneous Markov chains for demand response analysis Power & Energy Society General Meeting (2015)

Z. Wang, Y. Ding An occupant-based energy consumption prediction model for office equipment Energy Build., 109 (2015), pp. 12-22

S. Jain, N. Madamopoulos Ahorrar: indoor occupancy counting to enable smart energy efficient office buildings Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom)(BDCloud-SocialCom-SustainCom) (2016)

K. Curran, E. Furey, T. Lunney, J. Santos, D. Woods, A. McCaughey An evaluation of indoor location determination technologies J. Locat. Based Serv., 5 (2) (2011), pp. 61-78

A. Akanmu, S.H. Rasheed, I.A. Qader Spatial mapping approach to component tracking using RTLS system Architectural Engineering Conference 2013 (2013)

S. Azzouzi, M. Cremer, U. Dettmar, T. Knie, R. Kronberger Improved AoA based localization of UHF RFID tags using spatial diversity RFID-technologies and Applications (RFID-TA) (2011)

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I. Richardson, M. Thomson, D. Infield A high-resolution domestic building occupancy model for energy demand simulations Energy Build., 40 (8) (2008), pp. 1560-1566

Z. Liu Simulation of local climate control in shared offices based on occupants locations and preferences A Thesis in the Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Canada (2017)

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