Occupants Behavior Research Bibliography

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Author Keyword Title Type [ Year(Asc)]
2016
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.
K. U. Ahn and Park, C. S., Correlation between occupants and energy consumption, Energy and Buildings, vol. 116, pp. 420–433, 2016.
M. Schweiker and Wagner, A., The effect of occupancy on perceived control, neutral temperature, and behavioral patterns, Energy and Buildings, vol. 117, pp. 246-259, 2016.
C. Wang, Yan, D., Sun, H., and Jiang, Y., A generalized probabilistic formula relating occupant behavior to environmental conditions, Building and Environment, vol. 95, pp. 53–62, 2016.
S. Wei, Hassan, T. M., Firth, S. K., and Fouchal, F., Impact of occupant behaviour on the energy-saving potential of retrofit measures for a public building in the UK, Intelligent Buildings International, vol. 1, no. 11, 2016.
M. Schweiker, Hawighorst, M., and Wagner, A., The influence of personality traits on occupant behavioural patterns, Energy and Buildings, vol. 131, pp. 63-75, 2016.
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.
S. Gauthier, Aragon, V., James, P., and Anderson, B., Occupancy Patterns Scoping Review Project, Department for Business, Energy & Industrial Strategy, University of Southampton, 2016.
X. .Feng, Yan, D., Wang, C., and Sun, H., A preliminary research on the derivation of typical occupant behavior based on large-scale questionnaire surveys, Energy and Buildings, 2016.
2015
T. Hong, Taylor-Lange, S. C., D’Oca, S., Yan, D., and Corgnati, S. P., Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings, Energy and Buildings, 2015.
S. Wei, Xu, C., Pan, S., Su, J., Wang, Y., Luo, X., Hassan, T., Firth, S., Fouchal, F., Jones, R., and de Wilde, P., Analysis of factors influencing the modelling of occupant window opening behaviour in an office building in Beijing, China, in Building Simulation Conference, Hyderabad, India, 2015.
Y. Jian, Li, Y., Wei, S., Zhang, Y., and Bai, Z., A Case Study on Household Electricity Uses and Their Variations Due to Occupant Behavior in Chinese Apartments in Beijing, Journal of Asian Architecture and Building , vol. 14, no. 3, 2015.
X. Feng, Yan, D., and Wang, C., Classification of occupant air-conditioning behavior patterns, in 14th International Conference of the International Building Performance Simulation Association , Hyderabad, India, 2015.
S. D'Oca, Corgnati, S. P., and Hong, T., Data Mining of Occupant Behavior in Office Buildings, 6th International Conference on Building Physics for a Sustainable Built Environment, vol. 78. Energy Procedia, Turin, Italy, pp. 585-590, 2015.
X. Ren, Yan, D., and Hong, T., Data mining of space heating system performance in affordable housing, Building and Environment, vol. 89, pp. 1-13, 2015.
A. Heydarian, Carneiro, J. P., Pantazis, E., Gerber, D., and Becerik-Gerber, B., Default Conditions: A Reason for Design to Integrate Human Factors , The First International Symposium on Sustainable Human-Building Ecosystems (ISSHBE). Pittsburgh, PA, USA, 2015.
A. Mahdavi and Tahmasebi, F., The deployment-dependence of occupancy-related models in building performance simulation, Energy and Buildings, 2015.
K. .Schakib-Ekbatan, F. Zakici, Z., .Schweiker, M., and Wagner, A., Does the occupant behavior match the energy concept of the building? – Analysis of a German naturally ventilated office building, Building and Environment, vol. 84 January 2015, pp. 142–150, 2015.
M. Schweiker and Wagner, A., On the effect of the number of persons in one office room on occupants physiological and subjective responses under summer conditions, in Healthy Buildings Europe, Eindhoven, the Netherland, 2015.
K. Anderson, Song, K., Lee, S. H., Lee, H., and Park, M., Energy consumption in households while unoccupied: Evidence from dormitories., Energy and Buildings, vol. 87, pp. 335-341, 2015.
E. Azar and Menassa, C., Evaluating the Impact of Extreme Energy Use Behavior on Occupancy Interventions in Commercial Buildings, vol. 97, pp. 205-218, 2015.
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.
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.
S. D’Oca, Fabi, V., Barthelmes, V. M., and Corgnati, S. P., From consumer smart monitoring to demand response in the domestic sector: Italian case studies, EEDAL – 2015 – 8th International Conference on Energy Efficiency in Domestic Appliances and Lighting. Lucerne, Switzerland , 2015.
A. Heydarian, Carneiro, J. P., Gerber, D., and Becerik-Gerber, B., Immersive Virtual Environments, Understanding the Impact of Design Features and Occupant Choice upon Lighting for Building Performance, Journal of Building and Environment, vol. 89, pp. 217-228, 2015.
A. Heydarian, Carneiro, J. P., Gerber, D., Becerik-Gerber, B., Hayes, T., and Wood, W., Immersive Virtual Environments versus Physical Built Environments: A Benchmarking Study for Building Design and User-Built Environment Explorations, Automation in Construction, vol. 54, pp. 116-126, 2015.
J. .Hetherington, Roetzel, A., and Fuller, R., The impact of occupant behaviour on residential greenhouse gas emissions reduction, Journal of Green Building, vol. 10, no. 4, pp. 127-140, 2015.
V. M. Zavala, Inference of building occupancy signals using moving horizon estimation and Fourier regularization (submitted), Journal of Process Control, 2015.
B. K. Sovacool, Ryan, S. E., Stern, P. C., Janda, K., Rochlin, G., Spreng, D., Pasqualetti, M. J., Wilhite, H., and Lutzenhiser, L., Integrating social science in energy research, ENERG RES SOC SCI , vol. 6, pp. 95-99, 2015.
R. Yu, Yan, D., and Feng, X., Investigation and Modelling of the Centralized Solar Domestic Hot Water System in Residential Buildings, in The 8th international cold climate HVAC Conference, Dalian, China, 2015.
T. Cholewa and Siuta-Olcha, A., Long term experimental evaluation of the influence of heat cost allocators on energy consumption in a multifamily building, Energy and Buildings, vol. 104, pp. 122-130, 2015.
C. Wang, Yan, D., and Ren, X., Modeling individual’s light switching behavior to understand lighting energy use of office building, in CUE2015-Applied Energy Symposium and Summit 2015: Low carbon cities and urban energy systems, Fuzhou, China, 2015.
B. Gunay, O'Brien, W. L., Beausoleil-Morrison, I., D'Oca, S., and Corgnati, S. P., On modelling and simulation of occupant models, in Building Simulation Conference, Hyderabad, India, 2015.
S. D'Oca and Hong, T., Occupancy schedules learning process through a data mining framework, Building and Environment, vol. 88, pp. 395–408, 2015.
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.
A. Roetzel, Occupant behaviour simulation for cellular offices in early design stages—Architectural and modelling considerations, Building Simulation, vol. 8, no. 2, pp. 211-224, 2015.
J. Zhao, Lam, K. P., Loftness, V., and Ydstie, B. E., Occupant individual thermal comfort data analysis in an office, First International Symposium on Sustainable Human-Building Ecosystems. Pittsburgh PA, pp. 108-116, 2015.
J. Zhao, Lam, K. P., Ydstie, B. E., and Loftness, V., Occupant-oriented mixed-mode EnergyPlus predictive control simulation, Energy and Buildings, SI: Advances in BEM and Sim, 2015.
A. Ghahramani, Tang, C., and Becerik-Gerber, B., An Online Learning Approach for Quantifying Personalized Thermal Comfort via Adaptive Stochastic Modeling, Journal of Building and Environment, vol. 92, pp. 86-96, 2015.
T. Hong, D’Oca, S., Turner, W. J. N., and Taylor-Lange, S. C., An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework, Building and Environment, vol. 92, 2015.
T. Hong, D'Oca, S., Taylor-Lange, S. C., Turner, W. J. N., Chen, Y., and Corgnati, S. P., An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema, Building and Environment, vol. 94, no. 1, pp. 196–205, 2015.
A. Mahdavi and Tahmasebi, F., Predicting people’s presence in buildings: An empirically based model performance analysis., ENERG BUILDINGS, vol. 86, pp. 349-355., 2015.
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.
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.
S. Wolf, Schweiker, M., Wagner, A., and van Treeck, C., Revisiting validation methods of occupant behaviour models, Healthy Buildings Europe. Eindhoven, the Netherland, 2015.
R. Gulbinas, Khosrowpour, A., and Taylor, J., Segmentation and Classification of Commercial Building Occupants by Energy-Use Efficiency and Predictability, IEEE Transactions on Smart Grid, vol. 6, 3 vol. pp. 1414-1424, 2015.
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.
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.
X. Feng, Yan, D., and Hong, T., Simulation of occupancy in buildings, ENERG BUILDINGS , vol. 87, pp. 348-359, 2015.

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