Occupants Behavior Research Bibliography

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Author Title Type [ Year(Asc)]
2014
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.
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.
J. H. K. Lai, Influence of Personal Attributes on Perception of Residential Facilities Management Services, Facilities, vol. 32, no. 9/10, pp. 509-521, 2014.
C. Li, Hong, T., and Yan, D., An insight into actual energy use and its drivers in high-performance buildings, Applied Energy, vol. 131, pp. 394-410, 2014.
C. M. Stoppel and Leite, F., Integrating probabilistic methods for describing occupant presence with building energy simulation models, Energy and Buildings, vol. 68, Part A, pp. 99-107, 2014.
A. Ghahramani, Jazizadeh, F., and Becerik-Gerber, B., A Knowledge Based Approach for Selecting Energy- Aware and Comfort-Driven HVAC Temperature Set Points, Journal of Energy and Buildings, vol. 85, pp. 536-548, 2014.
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.
Z. Yang and Becerik-Gerber, B., Modeling Personalized Occupancy Profiles for Representing Long Term Patterns by Using Ambient Context, Journal of Building and Environment, vol. 78, pp. 23-35, 2014.
R. Gulbinas, Jain, R., Taylor, J., Peschiera, G., and Golparvar-Fard, M., Network eco-informatics: Development of a social eco-feedback system to drive energy efficiency in residential buildings, ASCE Journal of Computing in Civil Engineering, vol. 28, pp. 89-98, 2014.
X. Xu, Taylor, J., and Pisello, A., Network synergy effect: Establishing a synergy between building network and peer network energy conservation effects, Energy and Buildings, vol. 68, pp. 312-320, 2014.
J. Zhao, Lasternas, B., Lam, K. P., Yun, R., and Loftness, V., Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining, Energy and Buildings, vol. 82, pp. 341-355, 2014.
C. Lee, Tong, J., and Cheng, V., Occupant Behavior in Building Design and Operation, in Proceedings of HK Joint Symposium, 2014.
M. Schweiker, Brasche, S., Hawighorst, M., Bischof, W., and Wagner, A., Presenting lobster, an innovative climate chamber, and the analysis of the effect of a ceiling fan on the thermal sensation and performance under summer conditions in an office-like setting, 8th Windsor Conference: Counting the Cost of Comfort in a changing world. Cumberland Lodge, Windsor, UK, pp. 924 – 937, 2014.
S. Paudel, Elmtiri, M., Kling, W. L., Corre, O. L., and Lacarrière, B., Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network, Energy and Buildings, vol. 70, pp. 81-93, 2014.
B. Dong and Lam, K. P., A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting, Building Simulation, vol. 7, pp. 89-106, 2014.
M. A. Haq, Hassan, M. Y., Abdullah, H., Rahman, H. A., Abdullah, M. P., Hussin, F., and Said, D. M., A review on lighting control technologies in commercial buildings, their performance and affecting factors, Renewable and Sustainable Energy Reviews, vol. 33, pp. 268-279, 2014.
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.
S. D’Oca, Corgnati, S. P., and T., B., Smart meters and energy savings in Italy: Determining the effectiveness of persuasive communication in dwellings. , ENERG RES SOC SCI, vol. 8, pp. 131–142, 2014.
K. Sun, Yan, D., Hong, T., and Guo, S., Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration, Building and Environment, vol. 79, pp. 1-12, 2014.
Z. Yang, Li, N., Becerik-Gerber, B., and Orosz, M., A Systematic Approach to Occupancy Modeling in Ambient Sensor Rich Office Environments, Simulation: Transactions of the Society for Modeling and Simulation International, Special Issue: Simulation for Architecture and Urban Design, vol. 90, no. 8, pp. 960-977, 2014.
E. Yavari, Chenyan, S., Lubecke, V., and Boric-Lubecke, O., Is there anybody in there? Intelligent Radar Occupancy Sensors, Microwave Magazine, IEEE, vol. 15, pp. 57-64, 2014.
E. Naghiyev, Gillott, M., and Wilson, R., Three unobtrusive domestic occupancy measurement technologies under qualitative review, Energy and Buildings, vol. 69, pp. 507-514, 2014.
M. B. Kjærgaard and Blunck, H., Tool support for detection and analysis of following and leadership behavior of pedestrians from mobile sensing data. , Pervasive and Mobile Computing, vol. 10, pp. 104-117, 2014.
A. S. Silva and Ghisi, E., Uncertainty analysis of user behavior and physical parameters in residential building performance simulation, ENERG BUILDINGS , vol. 76, pp. 381-391, 2014.
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.
B. K. Sovacool, Ryan, S. E., Stern, P. C., Janda, K., Rochlin, G., Spreng, D., Pasqualetti, M. J., Wilhite, H., and Lutzenhiser, L., What are we doing here? Analyzing fifteen years of energy scholarship and proposing a social science research agenda, ENERG RES SOC SCI, pp. 1-29, 2014.
2013
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.
M. Kordjamshidi, Application of fuzzy technique to integrate multiple occupancy scenarios into house rating schemes (HRS), Energy and Buildings, vol. 67, pp. 463-470, 2013.
M. Taylor, Grant, T., Knoefel, F., and Goubran, R., Bed occupancy measurements using under mattress pressure sensors for long term monitoring of community-dwelling older adults, Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on. pp. 130-134, 2013.
S. Hackel and Schuetter, S., Best practices for commissioning automatic daylighting controls, Ashrae Journal, vol. 55, p. 46-+, 2013.
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.
M. Langerwisch and Wagner, B., Building variable resolution occupancy maps assuming unknown but bounded sensor errors, Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. pp. 4687-4693, 2013.
K. Nyarko and Wright-Brown, C., Cloud based passive building occupancy characterization for attack and disaster response, Technologies for Homeland Security (HST), 2013 IEEE International Conference on. pp. 748-753, 2013.
K. Soohwan and Jonghyuk, K., Continuous occupancy maps using overlapping local Gaussian processes, Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. pp. 4709-4714, 2013.
B. H. Gunay, O'Brien, W., and Beausoleil-Morrison, I., A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices, Building and Environment, vol. 70, pp. 31-47, 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.
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.
S. Schiavon and Lee, K. H., Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures, Building and Environment, vol. 59, pp. 250-260, 2013.
L. Sanati and Utzinger, M., The effect of window shading design on occupant use of blinds and electric lighting, Building and Environment, vol. 64, pp. 67-76, 2013.
R. Lakshmanan, Ramasamy, A. K., Ahmed, S. K., and Sinnadurai, R., Efficient illumination design and energy saving through occupancy control for building, Sustainable Utilization and Development in Engineering and Technology (CSUDET), 2013 IEEE Conference on. pp. 80-85, 2013.
T. A. Nguyen and Aiello, M., Energy intelligent buildings based on user activity: A survey, Energy and Buildings, vol. 56, pp. 244-257, 2013.
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.
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.
S. Wei, Buswell, R., and Loveday, D., Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building, Energy and Buildings, vol. 62, pp. 87-96, 2013.
T. Hong, Chang, W. - K., and Lin, H. - W., A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data, Applied Energy, vol. 111, pp. 333-350, 2013.
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.
J. H. K. Lai, Gap theory based analysis of user expectation and satisfaction: The case of a hostel building, Building and Environment, vol. 69, pp. 183-193, 2013.
G. M. Huebner, McMichael, M., Shipworth, D., Shipworth, M., Durand-Daubin, M., and Summerfield, A., Heating patterns in English homes: Comparing results from a national survey against common model assumptions, Building and Environment, vol. 70, pp. 298-305, 2013.
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.

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