Occupants Behavior Research Bibliography

Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is M  [Clear All Filters]
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 
A
D. Parker, Mills, E., Rainer, L., Bourassa, N., and Homan, G., Accuracy of the Home Energy Saver Energy Calculation Methodology. , in ACEEE Summer Study on Energy Efficiency in Buildings, 2012.
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.
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.
A. P. Patton, Calderon, L., Xiong, Y., Wang, Z., Senick, J., Allacci, M. A. Sorensen, Plotnik, D., Wener, R., Andrews, C. J., Krogmann, U., and Mainelis, G., Airborne Particulate Matter in Two Multi-Family Green Buildings: Concentrations and Effect of Ventilation and Occupant Behavior, International Journal of Environmental Research and Public Health, vol. 13, no. 1, p. 144, 2016.
M. A. López-Rodríguez, Santiago, I., Trillo-Montero, D., Torriti, J., and Moreno-Munoz, A., Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption, Energy Policy, vol. 62, pp. 742-751, 2013.
B. Von Neida, Manicria, D., and Tweed, A., An analysis of the energy and cost savings potential of occupancy sensors for commercial lighting systems, Journal of the Illuminating Engineering Society, vol. 30, pp. 111-125, 2001.
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.
B
D. Lindeloef and Morel, N., Bayesian estimation of visual discomfort, Building Research and Information, vol. 36, pp. 83-96, 2008.
C
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.
A. Meinke, Hawighorst, M., Wagner, A., Trojan, J., and Schweiker, M., Comfort-related feedforward information: occupants' choice of cooling strategy and perceived comfort, Building Research and Information, pp. 1-17, 2016.
T. Maier, Krzaczek, M., and Tejchman, J., Comparison of physical performances of the ventilation systems in low-energy residential houses, Energy and Buildings, vol. 41, pp. 337-353, 2009.
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. C., A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks, Energy Policy, vol. 67, pp. 459-472, 2014.
C. Menassa, Kamat, V., Lee, S., Azar, E., Feng, C., and Anderson, K., A Conceptual Framework to Optimize Building Energy Consumption by Coupling Distributed Energy Simulation and Occupancy Model, 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. 50-62, 2014.
H. Wilhite, Nakagami, H., Masuda, T., Yamaga, Y., and Haneda, H., A cross-cultural analysis of household energy use behaviour in Japan and Norway, Energy Policy, vol. 24, pp. 795-803, 1996.
D
O. T. Masoso and Grobler, L. J., The dark side of occupants’ behaviour on building energy use, Energy and Buildings, vol. 42, pp. 173-177, 2010.
A. Mahdavi and Tahmasebi, F., The deployment-dependence of occupancy-related models in building performance simulation, Energy and Buildings, 2015.
J. Lindner, Park, S., and Mitterhofer, M., Determination of requirements on occupant behavior models for the use in building performance simulations, Building Simulation, pp. 1-14, 2017.
K. J. McCartney and Fergus, N. J., Developing an adaptive control algorithm for Europe, Energy and Buildings, vol. 34, pp. 623-635, 2002.
G. R. Newsham, Birt, B. J., Arsenault, C., Thompson, A. J. L., Veitch, J. A., Mancini, S., Galasiu, A. D., Gover, B. N., Macdonald, I. A., and Burns, G. J., Do "green' buildings have better indoor environments? New evidence, Building Research and Information, vol. 41, pp. 415-434, 2013.
G. R. Newsham, Birt, B. J., Arsenault, C., Thompson, A. J. L., Veitch, J. A., Mancini, S., Galasiu, A. D., Gover, B. N., Macdonald, I. A., and Burns, G. J., Do "green' buildings have better indoor environments? New evidence, Building Research and Information, vol. 41, pp. 415-434, 2013.
C. F. Reinhart, Mardaljevic, J., and Rogers, Z., Dynamic daylight performance metrics for sustainable building design, Leukos, vol. 3, pp. 7-31, 2006.
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.
E
D. Maniccia, Tweed, A., Bierman, A., and Von Neida, B., The effects of changing occupancy sensor time-out setting on energy savings, lamp cycling and maintenance costs, Journal of the Illuminating Engineering Society, vol. 30, pp. 97-110, 2001.
M. A. R. Lopes, Antunes, C. H., and Martins, N., Energy behaviours as promoters of energy efficiency: A 21st century review, Renewable and Sustainable Energy Reviews, vol. 16, pp. 4095-4104, 2012.
K. Steemers and Manchanda, S., Energy efficient design and occupant well-being: Case studies in the UK and India, Building and Environment, vol. 45, pp. 270-278, 2010.
A. Guillemin and Molteni, S., An energy-efficient controller for shading devices self-adapting to the user wishes, Building and Environment, vol. 37, pp. 1091-1097, 2002.
T. Malmqvist and Glaumann, M., Environmental efficiency in residential buildings – A simplified communication approach, Building and Environment, vol. 44, pp. 937-947, 2009.
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.
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.
S. S. Shrestha and Maxwell, G. M., An experimental evaluation of HVAC-grade Carbon Dioxide sensors - part 4: Effects of ageing on sensor performance, ASHRAE Transactions, 2010.
F. Tahmasebi, Mostofi, S., and Mahdavi, A., Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results, 6th International Building Physics Conference, vol. 78. pp. 567–572, 2015.
F. Tahmasebi, Mostofi, S., and Mahdavi, A., Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results, 6th International Building Physics Conference, vol. 78. pp. 567–572, 2015.
F
D. Lindelof and Morel, N., A field investigation of the intermediate light switching by users, Energy and Buildings, vol. 38, pp. 790-801, 2006.
A. Melikov, Pitchurov, G., Naydenov, K., and Langkilde, G., Field study on occupant comfort and the office thermal environment in rooms with displacement ventilation, Indoor air, vol. 15, pp. 205-14, 2005.
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.
I
A. K. Melikov and Hlavaty, R., Identification of occupants’ activities in practice, Proceedings of International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings IAQVEC, vol. 1. pp. 317-324, 2007.
D. Daum and Morel, N., Identifying important state variables for a blind controller, Building and Environment, vol. 45, pp. 887-900, 2010.
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.
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.
F. Oldewurtel, Sturzenegger, D., and Morari, M., Importance of occupancy information for building climate control, Applied Energy, vol. 101, pp. 521-532, 2013.
Y. Xiong, Krogmann, U., Mainelis, G., Rodenburg, L. A., and Andrews, C. J., Indoor air quality in green buildings: A case-study in a residential high-rise building in the northeastern United States, Journal of Environmental Science and Health, vol. 50, no. 3, pp. 225-242, 2015.
H. Yoshino, Yoshino, Y., Zhang, Q., Mochida, A., Li, N., Li, Z., and Miyasaka, H., Indoor thermal environment and energy saving for urban residential buildings in China, Energy and Buildings, vol. 38, pp. 1308-1319, 2006.
H. Yoshino, Yoshino, Y., Zhang, Q., Mochida, A., Li, N., Li, Z., and Miyasaka, H., Indoor thermal environment and energy saving for urban residential buildings in China, Energy and Buildings, vol. 38, pp. 1308-1319, 2006.
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.
H. Huafen, Jenks, G., Yonghong, H., Milencovic, M., and Hanebutte, U., Information and Communications Technology based solutions in achieving building energy efficiency, Technologies for Sustainability (SusTech), 2013 1st IEEE Conference on. pp. 49-54, 2013.
F. Tahmasebi and Mahdavi, A., An inquiry into the reliability of window operation models in building performance simulation, Building and Environment, vol. 105, pp. 343–357, 2016.
N. Motegi, Piette, M. A., Watson, D. S., Kiliccote, S., and Xu, P., Introduction to commercial building control strategies and techniques for demand response, Lawrence Berkeley National Laboratory LBNL-59975, 2007.
G. Mcgill, An investigation of indoor air quality in UK energy efficient homes : A case study, 2013.
L
C. Manna, Fay, D., Brown, K. N., and Wilson, N., Learning occupancy in single person offices with mixtures of multi-lag Markov Chains, Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on. pp. 151-158, 2013.
P. Zhu, Gilbride, M., Yan, D., Sun, H., and Meek, C., Lighting energy consumption in ultra-low energy buildings: Using a simulation and measurement methodology to model occupant behavior and lighting controls, Building Simulation, pp. 1-12, 2017.
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.
R. Gade, Jorgensen, A., and Moeslund, T. B., Long-term occupancy analysis using graph-based optimisation in thermal imagery, Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. Portland, OR, pp. 3698-3705, 2013.
T. Moore, Carter, D. J., and Slater, A. I., Long-term patterns of use of occupant controlled office lighting, Lighting Research and Technology, vol. 35, pp. 43-57, 2003.
O
M. Mysen, Berntsen, S., Nafstad, P., and Schild, P. G., Occupancy density and benefits of demand-controlled ventilation in Norwegian primary schools, Energy and Buildings, vol. 37, pp. 1234-1240, 2005.
R. S. Merali and Barfoot, T. D., Occupancy grid mapping with Markov Chain Monte Carlo Gibbs sampling, Robotics and Automation (ICRA), 2013 IEEE International Conference on. pp. 3183-3189, 2013.
D. Yan, O’Brien, W., Hong, T., Feng, X., Gunay, H. B., Tahmasebi, F., and Mahdavi, A., Occupant behavior modeling for building performance simulation: Current state and future challenges, Energy and Buildings, vol. 107, pp. 264–278, 2015.
D. Maniccia, Rutledge, B., Rea, M. S., and Morrow, W., Occupant use of manual lighting controls in private offices, Journal of the Illuminating Engineering Society, vol. 28, pp. 42-56, 1999.
D. Maniccia, Rutledge, B., Rea, M. S., and Morrow, W., Occupant use of manual lighting controls in private offices, Journal of the Illuminating Engineering Society, vol. 28, pp. 42-56, 1999.
A. Mahdavi, Mohammadi, A., Kabir, E., and Lambeva, L., Occupants' operation of lighting and shading systems in office buildings, Journal of Building Performance Simulation, vol. 1, pp. 57-65, 2008.
A. Mahdavi, Mohammadi, A., Kabir, E., and Lambeva, L., Occupants' operation of lighting and shading systems in office buildings, Journal of Building Performance Simulation, vol. 1, pp. 57-65, 2008.
P. Mansourifard, Jazizadeh, F., Krishnamachari, B., and Becerik-Gerber, B., Online Learning for Personalized Room-Level Thermal Control: A Multi-Armed Bandit Framework, in 5th ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings, Rome, Italy, 2013.
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.
S
Z. Xiaojing, Schildbach, G., Sturzenegger, D., and Morari, M., Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty, Control Conference (ECC), 2013 European. pp. 1029-1034, 2013.
F. Tahmasebi and Mahdavi, A., The sensitivity of building performance simulation results to the choice of occupants’ presence models: a case study, Journal of Building Performance Simulation, 2015.
Y. S. Lee and Malkawi, A. M., Simulating multiple occupant behaviors in buildings: An agent-based modeling approach, Energy and Buildings, vol. 69, pp. 407-416, 2014.
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.
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.
E. J. Palacios-Garcia, Chen, A., Santiago, I., Bellido-Outeirino, F. J., Flores-Arias, J. M., and Moreno-Munoz, A., Stochastic model for lighting’s electricity consumption in the residential sector. Impact of energy saving actions, Energy and Buildings, vol. 89, pp. 245–259, 2015.
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.
Z. Yu, Fung, B. C. M., Haghighat, F., Yoshino, H., and Morofsky, E., A systematic procedure to study the influence of occupant behavior on building energy consumption, Energy and Buildings, vol. 43, pp. 1409-1417, 2011.
T
A. Wagner, Gossauer, E., Moosmann, C., Gropp, T. H., and Leonhart, R., Thermal comfort and workplace occupant satisfaction—Results of field studies in German low energy office buildings, Energy and Buildings, vol. 39, pp. 758-769, 2007.
I. A. Raja, Nicol, J. F., McCartney, K. J., and Humphreys, M. A., Thermal comfort: use of controls in naturally ventilated buildings, Energy and Buildings, vol. 33, pp. 235-244, 2001.
F. Jazizadeh, Marin, M. F., and Becerik-Gerber, B., A Thermal Preference Scale for Personalized Comfort Profile Identification via Participatory Sensing, Journal of Building and Environment, vol. 68, pp. 140-149, 2013.
J. W. Moon and Han, S. - H., Thermostat strategies impact on energy consumption in residential buildings, Energy and Buildings, vol. 43, pp. 338-346, 2011.
A. Mahdavi and Pröglhof, C., Toward empirically-based models of people's presence and actions in buildings , Eleventh International IBPSA Conference. Building Simulation 2009, Glasgow, Scotland, pp. 537-544, 2009.
A. Mahdavi, Lambeva, L., Mohammdi, A., Kabir, E., and Pröglhof, C., Two case studies on user interactions with buildings' environmental systems , BAUPHYSIK, vol. 29, pp. 72-75, 2007.
A. Mahdavi, Lambeva, L., Mohammdi, A., Kabir, E., and Pröglhof, C., Two case studies on user interactions with buildings' environmental systems , BAUPHYSIK, vol. 29, pp. 72-75, 2007.
W
C. Morgan and de Dear, R., Weather, clothing and thermal adaptation to indoor climate, Climate research, vol. 24, pp. 267-284, 2003.
A. Mainwaring, Culler, D., Polastre, J., Szewczyk, R., and Anderson, J., Wireless sensor networks for habitat monitoring, Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications. ACM, pp. 88-97, 2002.