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Critical review and research roadmap of office building energy management based on occupancy monitoring


Critical review and research roadmap of office building energy management based on occupancy monitoring

Salimi, Shide and Hammad, Amin ORCID: https://orcid.org/0000-0002-2507-4976 (2019) Critical review and research roadmap of office building energy management based on occupancy monitoring. Energy and Buildings, 182 . pp. 214-241. ISSN 03787788 (In Press)

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Critical-Review-and-Research-Roadmap-of-Office-Building-Ene_2018_Energy-and-.pdf - Accepted Version
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Official URL: https://doi.org/10.1016/j.enbuild.2018.10.007


Buildings are responsible for a large portion of global energy consumption. Therefore, a detailed investigation towards a more effective energy performance of buildings is needed. Building energy performance is mature in terms of parameters related to the buildings’ physical characteristics, and their attributes are easily collectable. However, the poor ability of emulating reality pertinent to time-dependent parameters, such as occupancy parameters, may result in large discrepancies between estimated and actual energy consumption. Although efforts are being made to minimize energy waste in buildings by applying different control strategies based on occupancy information, new practices should be examined to achieve fully smart buildings by providing more realistic occupancy models to reflect their energy usage. This paper provides a comprehensive review of the methods for collection and application of occupancy-related parameters affecting total building energy consumption. Different occupancy-based control strategies are investigated with emphasis on heating, ventilation, and air conditioning (HVAC) and lighting systems. The advantages and limitations of existing methods are outlined to identify the gaps for future research.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Article
Authors:Salimi, Shide and Hammad, Amin
Journal or Publication:Energy and Buildings
  • Natural Science and Engineering Research Council (NSERC)
  • Alexander Graham Bell Canada Graduate Scholarship-Doctoral (CGS D)
  • Concordia University Faculty of Engineering and Computer Science
Digital Object Identifier (DOI):10.1016/j.enbuild.2018.10.007
ID Code:984665
Deposited By: MONIQUE LANE
Deposited On:07 Nov 2018 15:53
Last Modified:07 Nov 2018 15:53


SUSRIS International Energy Outlook 2013 [Online]. Available 25 July:
http://susris.com/2013/07/25/international-energy-outlook-2013/ (2013)

Annex 53 Total Energy Use in Buildings: Analysis and Evaluation Methods
AECOM Ltd (2016)

J. Pfafferott, S. Herkel Statistical simulation of user behaviour in low-energy office buildings Solar Energy, 81 (5) (2007), pp. 676-682

J. Tanimoto, A. Hagishima, H. Sagara Validation of methodology for utility demand prediction considering actual variations in inhabitant behaviour schedules J. Build. Perform. Simul., 1 (1) (2008), pp. 31-42

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

Natural Resources Canada Improving Energy Performance in Canada NRCan (2016)

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

C. Wang, D. Yan, Y. JiangA novel approach for building occupancy simulation
Build. Simul., 4 (2) (2011), pp. 149-167
CrossRefView Record in Scopus
Y. Kwak, J.H. Huh, C. Jang Development of a model predictive control framework through real-time building energy management system data Appl. Energy, 155 (2015), pp. 1-13

A. Mirakhorli, B. Dong Occupancy behavior based model predictive control for building indoor climate—a critical review Energy Build., 129 (2016), pp. 499-513

W. Shen, G. Newsham, B. Gunay Leveraging existing occupancy-related data for optimal control of commercial office buildings: a review Adv. Eng. Inf. (2017), pp. 1-13

T.A. Nguyen, M. Aiello Energy intelligent buildings based on user activity: a survey
Energy Build., 56 (2013), pp. 244-257

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
X. Guo, D.K. Tiller, G.P. Henze, C.E. Waters The performance of occupancy-based lighting control systems: a review Light. Res. Technol., 42 (4) (2010), pp. 415-431

C. de Bakker, M. Aries, H. Kort, A. Rosemann Occupancy-based lighting control in open-plan office spaces: a state-of-the-art review Build. Environ., 112 (2017), pp. 308-321

A. Williams, B. Atkinson, K. Garbesi, E. Page, F. Rubinstein Lighting controls in commercial buildings Leukos, 8 (3) (2012), pp. 161-180

A.M.R. Ward In-building location systems Proceedings of the Institution of Engineering and Technology Seminar on Location Technologies, London, U.K. (2007)

J. Hightower, G. Borriello Location systems for ubiquitous computing Computer, 34 (8) (2001), pp. 57-66

D. Wang, C.C. Federspiel, F. Rubinstein Modeling occupancy in single person offices
Energy Build., 37 (2) (2005), pp. 121-126

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

T. Yu Modeling occupancy behavior for energy efficiency and occupants comfort management in intelligent buildings Proceedings of the Ninth International Conference in Machine Learning and Applications (ICMLA) (2010)

R.H. Dodier, G.P. Henze, D.K. Tiller, X. Guo Building occupancy detection through sensor belief networks Energy Build., 38 (9) (2006), pp. 1033-1043

C. Duarte, K. Van Den Wymelenberg, C. Rieger Revealing occupancy patterns in an office building through the use of occupancy sensor data Energy Build., 67 (2013), pp. 587-595

F. Jazizadeh, B. Becerik-Gerber A novel method for non intrusive load monitoring of lighting systems in commercial buildings Comput. Civil Eng. (2012), pp. 523-530

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

T. Labeodan, W. Zeiler, G. Boxem, Y. Zhao Occupancy measurement in commercial office buildings for demand-driven control applications—a survey and detection system evaluation Energy Build., 93 (2015), pp. 303-314

T. Labeodan, K. Aduda, W. Zeiler, F. Hoving Experimental evaluation of the performance of chair sensors in an office space for occupancy detection and occupancy-driven control Energy Build., 111 (2016), pp. 195-206

R.K. Harle, A. Hopper The potential for location-aware power management Proceedings of the 10th International Conference On Ubiquitous Computing, Seoul, Korea (2008)

Y. Benezeth, H. Laurent, B. Emile, C. Rosenberger Towards a sensor for detecting human presence and characterizing activity Energy Build., 43 (2) (2011), pp. 305-314

H.C. Shih A robust occupancy detection and tracking algorithm for the automatic monitoring and commissioning of a building Energy Build., 77 (2014), pp. 270-280

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

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

L.J. Brackney, A.R. Florita, A.C. Swindler, L.G. Polese, G.A. Brunemann Design and performance of an image processing occupancy sensor Proceedings of the Second International Conference on Building Energy and Environment 2012987 Topic 10 (2012)

Z.N. Zhen, Q.S. Jia, C. Song, X. Guan An indoor localization algorithm for lighting control using RFID Proceedings of the IEEE Energy 2030 Conference, 2008. ENERGY (2008)

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

C. Harris, V. Cahill Exploiting user behaviour for context-aware power management
Proceedings of the IEEE International Conference Wireless and Mobile Computing, Networking and Communications (2005)

G. Conte, M. De Marchi, A.A. Nacci, V. Rana, D. Sciuto BlueSentinel: a first approach using iBeacon for an energy efficient occupancy detection system Proceedings of the BuildSys SenSys, Memphis, TN, USA (2014)

B. Balaji, J. Xu, A. Nwokafor, R. Gupta, Y. Agarwal Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, Roma, Italy (2013)

J. Chen, C. Ahn Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings Energy Build., 82 (2014), pp. 540-549

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

Y. Wang, L. Shao Understanding occupancy pattern and improving building energy efficiency through Wi-Fi based indoor positioning Build. Environ., 114 (2017), pp. 106-117

Y. Wang, L. Shao Understanding occupancy and user behaviour through Wi-Fi-based indoor positioning Build. Res. Inf. (2017), pp. 1-13

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

B.S. Çiftler, S. Dikmese, İ. Güvenç, K. Akkaya, A. Kadri Occupancy counting with burst and intermittent signals in smart buildings IEEE Int. Things J., 5 (2) (2018), pp. 724-735

W. Wang, J. Wang, J. Chen, G. Huang, X. Guo Multi-zone outdoor air coordination through Wi-Fi probe-based occupancy sensing Energy Build., 159 (2018), pp. 495-507

J. Yang, H. Zou, H. Jiang, L. Xie Device-free Occupant Activity Sensing using WiFi-enabled IoT Devices for Smart Homes IEEE Int. Things J. (2018), pp. 2327-4662

S. Meyn, A. Surana, Y. Lin, S.M. Oggianu, S. Narayanan, T.A. Frewen A sensor-utility-network method for estimation of occupancy in buildings Proceedings of the Decision and Control, held jointly with the 28th Chinese Control Conference (2009)

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., 145 Proceedings of the IBPSA Building Simulation, Glasgow, Scotland (2009)

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)

V.L. Erickson, Y. Lin, A. Kamthe, R. Brahme, A. Surana, A.E. Cerpa, M.D. Sohn, S. Narayanan Energy efficient building environment control strategies using real-time occupancy measurements Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (2009)

V.L. Erickson, A.E. Cerpa Occupancy based demand response HVAC control strategy
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building(2010)

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

Y. Cho, S.O. Lim, H.S. Yang Collaborative occupancy reasoning in visual sensor network for scalable smart video surveillance IEEE Trans. Consum. Electron., 56 (3) (2010), pp. 1997-2003

G.R. Newsham, B.J. Birt Building-level occupancy data to improve ARIMA-based electricity use forecasts Proceedings of the 2nd ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Building (2010)

S. Dedesko, B. Stephens, J.A. Gilbert, J.A. Siegel Methods to assess human occupancy and occupant activity in hospital patient rooms Build. Environ., 90 (2015), pp. 136-145

E. Hailemariam, R. Goldstein, R. Attar, A. Khan Real-time occupancy detection using decision trees with multiple sensor types Proceedings of the Symposium on Simulation for Architecture and Urban Design (2011)

R. Attar, E. Hailemariam, S. Breslav, A. Khan, G. Kurtenbach Sensor-enabled cubicles for occupant-centric capture of building performance data ASHRAE Trans., 117 (2) (2011), pp. 441-449

A. Augello, M. Ortolani, G.L. Re, S. Gaglio Sensor mining for user behavior profiling in intelligent environments Advances in Distributed Agent-Based Retrieval Tools, Springer, Berlin Heidelberg (2011), pp. 143-158

Z. Yang, N. Li, B. Becerik-Gerber, M. Orosz A multi-sensor based occupancy estimation model for supporting demand driven HVAC operations In Proceedings of the Symposium on Simulation for Architecture and Urban Design (2012)

Z. Han, R.X. Gao, Z. Fan Occupancy and indoor environment quality sensing for smart buildings Proceedings of the IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2012)

T. Ekwevugbe, N. Brown, D. Fan A design model for building occupancy detection using sensor fusion Proceedings of the 6th IEEE International Conference Digital Ecosystems Technologies (DEST) (2012)

T.A. Nguyen, M. Aiello Beyond indoor presence monitoring with simple sensors PECCS (2012), pp. 5-14

M. Milenkovic, O. Amft Recognizing energy-related activities using sensors commonly installed in office buildings Procedia Comput. Sci., 19 (2013), pp. 669-677

V. Fabi, V. Camisassi, F. Causone, S.P. Corgnati, R.K. Andersen Light switch behaviour: occupant behaviour stochastic models in office buildings Proceedings of the 8th windsor conference, Windsor, UK (2014)

A. Khan, J. Nicholson, S. Mellor, D. Jackson, K. Ladha, C. Ladha, C. Ladha, J. Hand, J. Clarke, P. Olivier, T. Plötz Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework Proceedings of the BuildSys, Memphis, TN, USA (2014)

M. Jin, R. Jia, Z. Kang, I.C. Konstantakopoulos, C.J. Spanos Presencesense: Zero-training algorithm for individual presence detection based on power monitoring Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings (2014)

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

A. Arora, M. Amayri, V. Badarla, S. Ploix, S. Bandyopadhyay Occupancy estimation using non intrusive sensors in energy efficient buildings Proceedings of BS2015 14th Conference of International Building Performance Simulation Association, Hyderabad, India (2015)

N. Nasir, K. Palani, A. Chugh, V.C. Prakash, U. Arote, A.P. Krishnan, K. Ramamritham Fusing sensors for occupancy sensing in smart buildings Proceedings of the International Conference on Distributed Computing and Internet Technology (2015)

H. Mohammadmoradi, S. Yin, O. Gnawali Room occupancy estimation through wifi, UWB, and light sensors mounted on doorways Proceedings of the International Conference on Smart Digital Environment (2017)

T. Ekwevugbe, N. Brown, V. Pakka, D. Fan Improved occupancy monitoring in non-domestic buildings Sustain. Cities Soc., 30 (2017), pp. 97-107

G.R. Newsham, H. Xue, C. Arsenault, J.J. Valdes, G.J. Burns, E. Scarlett, W. ShenTesting the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services Energy. Build., 135 (2017), pp. 137-147
N. Nesa, I. Banerjee IoT-based sensor data fusion for occupancy sensing using dempster–shafer evidence theory for smart buildings IEEE Internet Things J., 4 (5) (2017), pp. 1563-1570

A. Javed, H. Larijani, A. Ahmadinia, R. Emmanuel, M. Mannion, D. Gibson Design and implementation of a cloud enabled random neural network-based decentralized smart controller with intelligent sensor nodes for HVAC IEEE Internet Things, 4 (2) (2017), pp. 393-403

Z. Zhao, S. Kuendig, J. Carrera, B. Carron, T. Braun, J. Rolim Indoor location for smart environments with wireless sensor and actuator networks Proceedings of the 42nd Conference on Local Computer Networks (2017)

M.S. Mashuk, J. Pinchin, P.O. Siebers, T. Moore A smart phone based multi-floor indoor positioning system for occupancy detection Proceedings of the Position, Location and Navigation Symposium (PLANS) (2018)

Y. Zhao, W. Zeiler, G. Boxem, T. Labeodan Virtual occupancy sensors for real-time occupancy information in buildings Build. Environ., 93 (2015), pp. 9-20

M.J.R. Jin, C. Spanos Virtual occupancy sensing: Using smart meters to indicate your presence Proceedings of the IEEE Transactions on Mobile Computing (2017)

G. Brager, G. Paliaga, R. De Dear Operable windows, personal control and occupant comfort ASHRAE (2004), pp. 17-35

S. Karjalainen Gender differences in thermal comfort and use of thermostats in everyday thermal environments Build. Environ., 42 (4) (2007), pp. 1594-1603

V. TabakUser Simulation of Space Utilisation
Eindhoven University Press (2008)
V. Tabak, B. de Vries Methods for the prediction of intermediate activities by office occupants Build. Environ., 45 (6) (2010), pp. 1366-1372

C. Liao, P. Barooah An integrated approach to occupancy modeling and estimation in commercial buildings Proceedings of the American Control Conference (2010)

S. Wei, R. Buswell, D. Loveday Probabilistic modelling of human adaptive behaviour in non-airconditioned buildings Proceedings of the Adapting to Change New Thinking on Comfort, Cumberland Lodge, Windsor, UK (2010)

R. Goldstein, A. Tessier, A. Khan Customizing the behavior of interacting occupants using personas Proceedings of the National IBPSA-USA Conference, New York, USA (2010)

R. Goldstein, A. Tessier, A. Khan Schedule-calibrated occupant behavior simulation
Proceedings of the Spring Simulation Multiconference (2010)

R. Goldstein, A. Tessier, A. KhanSpace layout in occupant behavior simulation
Proceedings of the IBPSA-AIRAH Building Simulation Conference, Sydney (2011)
F. Haldi, D. Robinson Modelling occupants’ personal characteristics for thermal comfort prediction Int. J. Biometeorol., 55 (5) (2011), pp. 681-694

F. Haldi, D. Robinson On the behaviour and adaptation of office occupants Build. Environ., 43 (12) (2008), pp. 2163-2177

G. Kavulya, B. Becerik-Gerber Understanding the influence of occupant behavior on energy consumption patterns in commercial buildings Comput. Civil Eng. (2012), pp. 569-576

S. Purdon, B. Kusy, R. Jurdak, G. Challen Model-free HVAC control using occupant feedback
Proceedings of the Local Computer Networks Workshops (LCN Workshops) (2013)

M.A. Humphreys, H.B. Rijal, J.F. Nicol Updating the adaptive relation between climate and comfort indoors; new insights and an extended database Building and Environment, 63 (2013), pp. 40-55

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

S.R. West, J.K. Ward, J. WallT rial results from a model predictive control and optimisation system for commercial building HVAC Energy and Buildings, 72 (2014), pp. 271-279

J.K. Day, D.E. Gunderson Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction Build. Environ., 84 (2015), pp. 114-124

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

T. Hong, S. D'Oca, S.C. Taylor-Lange, W.J. Turner, Y. Chen, S.P. Corgnati An ontology to represent energy-related occupant behavior in buildings. part II: implementation of the DNAS framework using an XML schema Build. Environ., 94 (2015), pp. 196-205

N. L. P. I. P. NLPIP Occupancy Sensors: Motion Sensors For Lighting Control Lighting Research Center, TroyNY (1998)

A. Pradhan, E. Ergen, B. Akinci Technological assessment of radio frequency identification technology for indoor localization J. Comput. Civil Eng., 23 (4) (2009), pp. 230-238

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

E. Mackensen, M. Lai, T.M. Wendt Performance analysis of an bluetooth low energy sensor system Proceedings of the IEEE 1st International Symposium Wireless Systems (IDAACS-SWS) (2012)

IndustryARC Bluetooth Smart/Bluetooth Low Energy market: applications (consumer electronics, healthcare, sports & fitness, retail, automotive, security); by technology [discrete modules, integrated modules (single & dual mode)]-forecast (2017–2022)
[Online]. Available http://industryarc.com (2016)

Bluetooth Bluetooth Core Specification v5.0 Bluetooth SIG Working Groups (2016)

Quuppa One for all [Online]. Available http://quuppa.com/applications/ (2017)

L. Krishnamachari, D. Estrin, S. Wicker The impact of data aggregation in wireless sensor networks Proceedings of the 22nd International Conference on Distributed Computing Systems Workshops (ICDCSW’02) (2002)

P. Díaz, T. Olivares, R. Galindo, A. Ortiz, F. Royo, T. Clemente The ecosense project: an intelligent energy management system with a wireless sensor and actor network Proceedings of the Sustainability in Energy and Buildings, Berlin Heidelberg (2011)

A. Kamthe, L. Jiang, M. Dudys, A. Cerpa Scopes: Smart cameras object position estimation system Proceedings of the European Conference on Wireless Sensor Networks, Berlin, Heidelberg, Springer(2009), pp. 279-295

J.A. Davis, D.W. Nutter Occupancy diversity factors for common university building types
Energy Build., 42 (9) (2010), pp. 1543-1551

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

D. Daum, N. Morel Assessing the total energy impact of manual and optimized blind control in combination with different lighting schedules in a building simulation environment J. Build. Perform. Simulat., 3 (1) (2010), pp. 1-16

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

S. D'Oca, T. Hong Occupancy schedules learning process through a data mining framework Energy Build., 88 (2015), pp. 395-408

A. Mahdavi, A. Mohammadi, E. Kabir, L. Lambeva Occupants' operation of lighting and shading systems in office buildings J. Build. Perform. Simulat., 1 (1) (2008), pp. 57-65

J. Langevin, J. Wen, P.L. Gurian Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants Build. Environ., 69 (2013), pp. 206-226

H.B. Gunay, W. O'Brien, I. Beausoleil-Morrison, R. Goldstein, S. Breslav, A. Khan Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism J. Build. Perform. Simulat., 7 (6) (2014), pp. 457-478

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

J.R. Dobbs, B.M. Hencey Predictive HVAC control using a Markov occupancy model
Proceedings of the 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

A. Capozzoli, M.S. Piscitelli, A. Gorrino, I. Ballarini, V. Corrado Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings
Sustain. Cities Soc., 35 (2017), pp. 191-208

Y. Peng, A. Rysanek, Z. Nagy, A. Schlüter Occupancy learning-based demand-driven cooling control for office spaces Build. Environ., 122 (2017), pp. 145-160 \

R.L. Ott, M.T. Longnecker An Introduction to Statistical Methods and Data Analysis

A. Tsanas, A. Xifara Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools Energy Build., 49 (2012), pp. 560-567

EPA Report to Congress on Indoor Air Quality U.S. Environmental Protection Agency, Washington, DC (1989) EPA/400/1-89/001C

European Commission Indoor Air Pollution: New EU Research Reveals Higher Risks than Previously Thought Press Release Database, Brussels (2003)

NRCAN Improving Energy Performance in Canada Minister of Natural Resources Canada, Government of Canada (2012)

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

V. Singhvi, A. Krause, C. Guestrin, J.H. Garrett, H.S. Matthews Intelligent light control using sensor networks Proceedings of the 3rd International Conference On Embedded Networked Sensor Systems (2005)

B. Dong, B. Andrews Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings Proceedings of the Building Simulation (2009)

B. Dong, K.P. Lam, C. Neuman Integrated building control based on occupant behavior pattern detection and local weather forecasting Proceedings of the Twelfth International Conference IBPSA, Sydney, Australia (2011)

Y. Agarwal, B. Balaji, R. Gupta, J. Lyles, M. Wei, T. Weng Occupancy-driven energy management for smart building automation Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building(2010)

L.J. Lo, A. Novoselac Localized air-conditioning with occupancy control in an open office
Energy Build., 42 (7) (2010), pp. 1120-1128

A. Aswani, N. Master, J. Taneja, D. Culler, C. Tomlin Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control
Proceedings of the IEEE, 100 (2012), pp. 240-253

S. Goyal, H.A. Ingley, P. Barooah Effect of various uncertainties on the performance of occupancy-based optimal control of HVAC zones Proceedings of the IEEE 51st Annual Conference Decision and Control (CDC) (2012)

S. Goyal, H.A. Ingley, P. Barooah Occupancy-based zone-climate control for energy-efficient buildings: complexity vs. performance Appl. Energy, 106 (2013), pp. 209-221

F. Oldewurtel, D. Sturzenegger, M. Morari Importance of occupancy information for building climate control Appl. Energy, 101 (2013), pp. 521-532

A. Majumdar, J.L. Setter, J.R. Dobbs, B.M. Hencey, D.H. Albonesi Energy-comfort optimization using discomfort history and probabilistic occupancy prediction Proceedings of the Green Computing Conference (IGCC) (2014)

S.C. Bengea, A.D. Kelman, F. Borrelli, R. Taylor, S. Narayanan Implementation of model predictive control for an HVAC system in a mid-size commercial building HVAC&R Res., 20 (1) (2014), pp. 121-135

M. Gruber, A. Trüschel, J.O. Dalenbäck CO 2 sensors for occupancy estimations: potential in building automation applications Energy Build., 84 (2014), pp. 548-556

J. Brooks, S. Goyal, R. Subramany, Y. Lin, T. Middelkoop, L. Arpan, L. Carloni, P. Barooah An experimental investigation of occupancy-based energy-efficient control of commercial building indoor climate Proceedings of the Decision and Control (CDC), Los Angeles, California, USA (2014)

B. Dong, K.P. Lam A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting Build. Simulat., 7 (1) (2014), pp. 89-106

J. Brooks, P. Barooah Energy-efficient control of under-actuated HVAC zones in buildings
Proceedings of the American Control Conference (ACC), Portland, Oregon, USA (2014)

J. Brooks, S. Kumar, S. Goyal, R. Subramany, P. Barooah Energy-efficient control of under-actuated HVAC zones in commercial buildings Energy Build., 93 (2015), pp. 160-168

S. Goyal, P. Barooah, T. Middelkoop Experimental study of occupancy-based control of HVAC zones Appl. Energy, 140 (2015), pp. 75-84

T.W. Foster, D.V. Bhatt, G.P. Hancke, B. Silva A web-based office climate control system using wireless sensors IEEE Sens. J., 16 (15) (2016), pp. 6104-6113

H.B. Gunay, W.B.-M.I. O'Brien, J. Bursill Implementation of an adaptive occupancy and building learning temperature setback algorithm ASHRAE Trans., 122 (2016), pp. 179-192

B. Lim, H. Hijazi, S. Thiébaux, M. van den Briel Online HVAC-aware occupancy scheduling with adaptive temperature control Proceedings of the International Conference on Principles and Practice of Constraint Programming(2016)

W. Wang, J. Chen, G. Huang, Y. Lu Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution
Appl. Energy (2017), pp. 1-19

S. Nagarathinam, H. Doddi, A. Vasan, V. Sarangan, P.V. Ramakrishna, A. Sivasubramaniam Energy efficient thermal comfort in open-plan office buildings Energy Build., 139 (2017), pp. 476-486

M.J. Brandemuehl, J.E. Braun The impact of demand-controlled and economizer ventilation strategies on energy use in buildings ASHRAE Trans. ProQuest Central, 105 (1999), pp. 39-50

V. Pavlovas Demand controlled ventilation: a case study for existing Swedish multifamily buildings Energy Build., 36 (10) (2004), pp. 1029-1034

W.J. Fisk, A.T. De Almeida Sensor-based demand-controlled ventilation: a review
Energy Build., 29 (1) (1998), pp. 35-45

G.Y. Yun, H. Kim, J.T. Kim Effects of occupancy and lighting use patterns on lighting energy consumption Energy Build., 46 (2012), pp. 152-158

A. Al-Mumin, O. Khattab, G. Sridhar Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences Energy Build., 35 (6) (2003), pp. 549-559

N. van de Meugheuvel, A. Pandharipande, D. Caicedo, P.P.J. Van Den Hof Distributed lighting control with daylight and occupancy adaptation Energy Build., 75 (2014), pp. 321-329

L.L. Fernandes, E.S. Lee, D.L. DiBartolomeo, A. McNeil Monitored lighting energy savings from dimmable lighting controls in the New York times headquarters building Energy Build., 68 (2014), pp. 498-514

V. Garg, N.K. Bansal Smart occupancy sensors to reduce energy consumption Energy Build., 32 (1) (2000), pp. 81-87

J.D. Jennings, F.M. Rubinstein, D. DiBartolomeo, S.L. Blanc Comparison of control options in private offices in an advanced lighting controls testbed J. Illuminat. Eng. Soc., 29 (2) (2000), pp. 39-60

S. Escuyer, M. Fontoynont Lighting controls: a field study of office workers’ reactions
Trans. Illuminat. Eng. Soc., 33 (2) (2001), pp. 77-94

D. Maniccia, A. Tweed, A. Bierman, B. Von Neida The effects of changing occupancy sensor time-out setting on energy savings, lamp cycling and maintenance costs J. Illuminat. Eng. Soc., 30 (2) (2001), pp. 97-110

B. Von Neida, D. Manicria, A. Tweed An analysis of the energy and cost savings potential of occupancy sensors for commercial lighting systems J. Illuminat. Eng. Soc., 30 (2) (2001), pp. 111-125

T.M. Chung, J. Burnett On the prediction of lighting energy savings achieved by occupancy sensors Energy Eng., 98 (4) (2001), pp. 6-23

J. Jennings, N. Colak, F. Rubinstein Occupancy and time-based lighting controls in open offices J. Illuminat. Eng. Soc., 31 (2) (2002), pp. 86-100

A.D. Galasiu, G.R. Newsham, C. Suvagau, D.M. Sander Energy saving lighting control systems for open-plan offices: a field study Leukos, 4 (1) (2007), pp. 7-29

Y.J. Wen, A.M. Agogino Wireless networked lighting systems for optimizing energy savings and user satisfaction Proceedings of the Wireless Hive Networks Conference, WHNC. IEEE (2008)

A.D. Galasiu, G.R. Newsham Energy savings due to occupancy sensors and personal controls: a pilot field study Proceedings of the Lux Europa, Ottawa, Ontario, Canada (2009)

D.T. Delaney, G.M. O'Hare, A.G. Ruzzelli Evaluation of energy-efficiency in lighting systems using sensor networks Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (2009)

D.K. Tiller, X. Guo, G.P. Henze, C.E. Waters The application of sensor networks to lighting control Leukos, 5 (4) (2009), pp. 313-325 5(4)

F. Rubinstein, A. Enscoe Saving energy with highly-controlled lighting in an open-plan office Leukos, 7 (1) (2010), pp. 21-36 7(1)

A. Pandharipande, D. Caicedo Daylight integrated illumination control of LED systems based on enhanced presence sensing Energy Build., 43 (4) (2011), pp. 944-950

Y.J. Wen, A.M. Agogino Control of wireless-networked lighting in open-plan offices
Light. Res. Technol., 43 (2) (2011), pp. 235-248

F. Manzoor, D. Linton, M. Loughlin Occupancy monitoring using passive RFID technology for efficient building lighting control Proceedings of the Fourth International EURASIP Workshop RFID Technology (EURASIP RFID) (2012)

C. Aghemo, L. Blaso, A. Pellegrino Building automation and control systems: a case study to evaluate the energy and environmental performances of a lighting control system in offices Automat. Construct., 43 (2014), pp. 10-22

A. Peruffo, A. Pandharipande, D. Caicedo, L. Schenato Lighting control with distributed wireless sensing and actuation for daylight and occupancy adaptation Energy Build., 97 (2015), pp. 13-20

M. Rossi, A. Pandharipande, D. Caicedo, L. Schenato, A. Cenedese Personal lighting control with occupancy and daylight adaptation Energy Build., 105 (2015), pp. 263-272

Z. Nagy, F.Y. Yong, M. Frei, A. Schlueter Occupant centered lighting control for comfort and energy efficient building operation Energy Build., 94 (2015), pp. 100-108

D. Caicedo, A. Pandharipande, M.C.J.M. Vissenberg Smart modular lighting control system with dual-beam luminaires Light. Res. Technol., 47 (4) (2015), pp. 389-404

A. Pandharipande, D. Caicedo Smart indoor lighting systems with luminaire-based sensing: a review of lighting control approaches Energy Build., 104 (2015), pp. 369-377

D. Caicedo, A. Pandharipande Daylight and occupancy adaptive lighting control system: an iterative optimization approach Light. Res. Technol., 48 (6) (2016), pp. 661-675

Z. Nagy, F.Y. Yong, A. Schlueter Occupant centered lighting control: a user study on balancing comfort, acceptance, and energy consumption Energy Build., 126 (2016), pp. 310-322

D. Caicedo, S. Li, A. Pandharipande Smart lighting control with workspace and ceiling sensors Light. Res. Technol., 49 (4) (2017), pp. 446-460

G.H. Lim, N. Keumala, N.A. Ghafar Energy saving potential and visual comfort of task light usage for offices in Malaysia Energy Build., 147 (2017), pp. 166-175

P. Zhu, M. Gilbride, D. Yan, H. Sun, C. Meek Lighting energy consumption in ultra-low energy buildings: using a simulation and measurement methodology to model occupant behavior and lighting controls Build. Simulat., 10 (6) (2017), pp. 799-810

P. Delgoshaei, M. Heidarinejad, K. Xu, J.R. Wentz, P. Delgoshaei, J. Srebric Impacts of building operational schedules and occupants on the lighting energy consumption patterns of an office space Build. Simulat., 10 (4) (2017), pp. 447-458

N. Gentile, M.C. Dubois Field data and simulations to estimate the role of standby energy use of lighting control systems in individual offices Energy Build., 155 (2017), pp. 390-403

E.E. Dikel, G.R. Newsham, H. Xue, J.J. Valdés Potential energy savings from high-resolution sensor controls for LED lighting Energy Build., 156 (2017), pp. 43-53

W. Si, X. Pan, H. Ogai Real-time daylight modeling method for lighting systems based on RBFNN Proceedings of the 9th International Conference on Computer and Automation Engineering (2017)

T.C. Kuo, Y.C. Chan, A.Y. Chen An occupant-centered integrated lighting and shading control for energy saving and individual preferences Proceedings of the Computing in Civil Engineering, Seattle, USA (2017)

D. Pasini, S.M. Ventura, S. Rinaldi, P. Bellagente, A. Flammini, A.L.C. Ciribini Exploiting internet of things and building information modeling framework for management of cognitive buildings Proceedings of the Smart Cities Conference (ISC2) (2016)

S. Papantoniou, D. Kolokotsa, K. Kalaitzakis Building optimization and control algorithms implemented in existing BEMS using a web based energy management and control system
Energy Build., 98 (2015), pp. 45-55

H. Doukas, K.D. Patlitzianas, K. Iatropoulos, J. Psarras Intelligent building energy management system using rule sets Build. Environ., 42 (10) (2007), pp. 3562-3569

S. Somayajulu Automatic Vs. smart buildings 30 10
http://www.xchanging.com/blog/2014/10/30/automatic-vs-smart-buildings (2014)

J. W., H. L., S. W. Intelligent building research: a review Automat. Construct., 14 (1) (2005), pp. 143-159

L. Roselli, C. Mariotti, P. Mezzanotte, F. Alimenti, G. Orecchini, M. Virili, N.B. Carvalho Review of the present technologies concurrently contributing to the implementation of the internet of things (IoT) paradigm: RFID, green electronics, WPT and energy harvesting
Proceedings of the Wireless Sensors and Sensor Networks (WiSNet) (2015)

K.K. Patel, S.M. Patel, P.G. Scolar Internet of Things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges Int. J. Eng. Sci. (2016), pp. 6122-6131

G. Lilis, G. Conus, N. Asadi, M. Kayal Towards the next generation of intelligent building: an assessment study of current automation and future IoT based systems with a proposal for transitional design Sustain. Cities Soc., 28 (2017), pp. 473-481

Z. Zhao, G. Min, W. Gao, Y. Wu, H. Duan, Q. Ni Deploying edge computing nodes for large-scale IoT: a diversity aware approach IEEE Int. Things J. (2018), pp. 1-8

IBM Embracing the Internet of Things in the New Era of Cognitive Buildings (2016)
The Crystal One of the World's Most Sustainable Buildings Siemens plc (2016)
[Online]. Available https://www.thecrystal.org/

Bloomberg The Smartest Building in the World PLP Architecture (23 September 2015)
[Online]. Available

CapotaLand The Future of Urban Living CapitaLand (2017)
[Online]. Available https://www.capitaland.com/sg/en.html?id=11

H. Al Bustani UAE Sustainable Skyscrapers: Understanding Abu Dhabi's Al Bahar Towers
Abu Dhabi Investment Council (2014) [Online]. Available

IBM Energy and environment [Online]. Available
https://www.ibm.com/ibm/green/smarter_buildings.html (2017)

G. Santucci The internet of things: between the revolution of the internet and the metamorphosis of objects Vis. Chall. Real. Internet Things (2010), pp. 11-24

IEA EBC Annex 66 International energy agency. energy in buildings and communities program http://www.annex66.org/ (2013)

buildingSMART Technical vision [Online]. Available https://www.buildingsmart.org/standards/technical-vision/ (2018)

Energy Information Administration (EIA) Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables [Online]. Available: https://www.eia.gov/ (2010)

T. Srivastava Difference between machine learning & statistical modeling Anal. Vidhya Learn Everything Anal. (2015)

E. Lejlic The advantages of machine learning Lumagate (2017)

Y. Bengio Learning deep architectures for AI Foundat. Trends Mach. Learn., 2 (1) (2009), pp. 1-127

G. Amato, F. Carrara, F. Falchi, C. Gennaro, C. Meghini, C. Vairo Deep learning for decentralized parking lot occupancy detection Expert Syst. Appl., 72 (2017), pp. 327-334

J. Pingel Introduction to deep learning: machine learning vs. deep learning MathWorks (2017)

Y. LeCun, Y. Bengio, G. Hinton Deep learning Nature, 521 (2015), pp. 436-444

M. Ersue, D. Romascanu, J. Schoenwaelder, A. Sehgal Management of networks with constrained devices: use cases Internet Engineering Task Force (IETF), Jacobs University Bremen, Germany (2015)
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