Occupants Behavior Research Bibliography

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L. Lutzenhiser, Social and behavioral-aspects of energy use, Annual Review of Energy and the Environment, vol. 18, pp. 247-289, 1993.
X. Luo, Lam, K. P., Chen, Y., and Hong, T., Performance evaluation of an agent-based occupancy simulation model, Building and Environment, vol. 115, pp. 42-53, 2017.
T. Lu, Knuutila, A., Viljanen, M., and Lu, X., A novel methodology for estimating space air change rates and occupant CO2 generation rates from measurements in mechanically-ventilated buildings, Building and Environment, vol. 45, pp. 1161-1172, 2010.
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. 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. J. Lomas, Architectural design of an advanced naturally ventilated building form., Energy and Buildings, vol. 39, pp. 166-181, 2007.
R. E. Löfstedt, Hard habits to break - energy conservation in Sweden, Environment: Science and Policy for Sustainable
Development
, vol. 35, pp. 10-36, 1993.
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.
D. Lindelof and Morel, N., A field investigation of the intermediate light switching by users, Energy and Buildings, vol. 38, pp. 790-801, 2006.
D. Lindeloef and Morel, N., Bayesian estimation of visual discomfort, Building Research and Information, vol. 36, pp. 83-96, 2008.
Z. Lin and Deng, S., A questionnaire survey on sleeping thermal environment and bedroom air conditioning in high-rise residences in Hong Kong, Energy and Buildings, vol. 38, pp. 1302-1307, 2006.
vanMarken W. Lichtenbelt, Hanssen, M., Pallubinsky, H., Kingma, B., and Schellen, L., Healthy excursions outside the thermal comfort zone, Building Research & Information, pp. 1-9, 2017.
X. Liang, Hong, T., and Shen, G. Q., Occupancy data analytics and prediction: a case study, Building and Environment, vol. 102, pp. 179-192, 2016.
X. Liang, Hong, T., and Shen, G. Q., Improving the accuracy of energy baseline models for commercial buildings with occupancy data, Applied Energy, vol. 179, pp. 247-260, 2016.
N. Li, Li, J., Fan, R., and Jia, H., Probability of occupant operation of windows during transition seasons in office buildings, RENEW ENERG, vol. 73, pp. 84-91, 2015.
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.
N. Li, Calis, G., and Becerik-Gerber, B., Measuring and Monitoring Occupancy with an RFID Based System for Demand-Driven HVAC Operations, Journal of Automation in Construction, vol. 24, pp. 89-99, 2012.
R. P. Leslie, Capturing the daylight dividend in buildings: why and how?, Building and Environment, vol. 38, pp. 381-385, 2003.
W. L. Leow, Larson, R. C., and Kirtley, J. L., Occupancy-moderated zonal space-conditioning under a demand-driven electricity price, Energy and Buildings, vol. 60, pp. 453-463, 2013.
A. Lenoir, Baird, G., and Garde, F., Post-occupancy evaluation and experimental feedback of a net zero-energy building in a tropical climate, Architectural Science Review, vol. 55, pp. 156-168, 2012.
E. Lee, DiBartolomeo, D. L., and Selkowitz, S. E., Thermal and daylighting performance of an automated venetian blind and lighting system in a full-scale private office, Energy and Buildings, vol. 29, pp. 47-63, 1998.
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.
E. S. Lee and DiBartolomeo, D. L., Application issues for large-area electrochromic windows in commercial buildings, Solar Energy Materials and Solar Cells, vol. 71, pp. 465-491, 2002.
S. Y. Lee and Brand, J. L., Effects of control over office workspace on perceptions of the work environment and work outcomes, Journal of Environmental Psychology, vol. 25, pp. 323-333, 2005.
C. Lee, Tong, J., and Cheng, V., Occupant Behavior in Building Design and Operation, in Proceedings of HK Joint Symposium, 2014.
J. S. Lee and Kim, B. S., Development of the nomo-graph for evaluation on discomfort glare of windows, Solar Energy, vol. 81, pp. 799-808, 2007.
E. S. Lee and Selkowitz, S. E., The New York Times headquarters daylighting mockup: Monitored performance of the daylighting control system, Energy and Buildings, vol. 38, pp. 914-929, 2006.
A. Leaman and Bordass, B., Productivity in buildings: the ‘killer’ variables, Building Research & Information, vol. 27, pp. 4-19, 1999.
A. Leaman and Bordass, B., Are users more tolerant of 'green' buildings?, Building Research and Information, vol. 35, pp. 662-673, 2007.
A. Leaman and Bordass, B., Assessing building performance in use 4: the Probe occupant surveys and their implications, Building Research & Information, vol. 29, pp. 129-143, 2001.
J. G. C. Laurent, Samuelson, H. W., and Chen, Y., The impact of window opening and other occupant behavior on simulated energy performance in residence halls, Building Simulation, pp. 1-14, 2017.
T. S. Larsen, Knudsen, H. N., Gram-Hanssen, K., Brohus, H., and Rose, J., Occupants influence on the energy consumption of Danish domestic buildings - State of the art, 2000.
J. Langevin, Gurian, P. L., and Wen, J., Tracking the human-building interaction: Findings from a longitudinal field study of occupant behavior in air-conditioned offices, Journal of Environmental Psychology, vol. 42, 2015.
J. Langevin, J, W., and Gurian, P. L., Quantifying the human-building interaction: Considering the active, adaptive occupant in building performance simulation, Energy and Buildings, 2015.
J. Langevin, Wen, J., and Gurian, P. L., Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors., BUILD ENVIRON , 2015.
J. Langevin, Wen, J., and Gurian, P. L., Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants, Building and Environment, vol. 69, 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. P. Lam, Höynck, M., Dong, B., Andrews, B., Chiou, Y. - S., Zhang, R., Benitez, D., and Choi, J., Occupancy detection through an extensive environmental sensor network in an open-plan office building., in IBPSA Building Simulation, 2009, pp. 1452-1459.
K. P. Lam, Höynck, M., Zhang, R., Andrews, B., Chiou, Y. - S., Dong, B., and Benitez, D., Information-theoretic environmental features selection for occupancy detection in open offices, Eleventh International IBPSA Conference, edited by PA Strachan, NJ Kelly and M Kummert, pp. 1460-1467, 2009.
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.
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.
J. H. K. Lai and Yik, F. W. H., Perception of Importance and Performance of the Indoor Environmental Quality of High-Rise Residential Buildings, Building and Environment, vol. 44, no. 22, pp. 352-360, 2009.
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.
M. T. Lah, Zupancic, B., Peternelj, J., and Krainer, A., Daylight illuminance control with fuzzy logic, Solar Energy, vol. 80, pp. 307-321, 2006.