Occupants Behavior Research Bibliography

Export 588 results:
Author Title Type [ Year(Asc)]
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, Energy and Buildings, vol. 87, pp. 348-359, 2015.
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.
, Delmastro, C., Fabi, V., and Corgnati, S. P., Testing Socio-Economic Demographic Variables on building energy consumption scenarios at the urban scale in Italy, in 8th Mediterranean Congress of HVAC – 2015, Juan-les-Pins, France, 2015.
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. K. Day and Gunderson, D. E., Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction. , BUILD ENVIRON, vol. 84, pp. 114-124, 2015.
C. Brown, Gorgolewski, M., and Goodwill, A., Using physical, behavioral, and demographic variables to explain
suite-level energy use in multiresidential buildings
, Building and Environment, vol. 89, pp. 308-317, 2015.
B. H. Gunay, O'Brien, W., Beausoleil-Morrison, I., and Huchuk, B., On adaptive occupant-learning window blind and lighting controls, Building Research & Information, vol. 7, no. 6, pp. 739-756, 2014.
X. Ren, Yan, D., and Wang, C., Air-conditioning usage conditional probability model for residential buildings, Building and Environment, vol. 81, pp. 172-182, 2014.
A. J. Ruiz, Blunck, H., Prentow, T. S., Stisen, A., and Kjærgaard, M. B., Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning., in PerCom, 2014.
R. Gulbinas, Jain, R., and Taylor, J., BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy, Applied Energy, vol. 136, pp. 1076–1084, 2014.
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.
W. O'Brien and Gunay, H. B., The contextual factors contributing to occupants' adaptive comfort behaviors in offices–A review and proposed modeling framework, Building and Environment, vol. 77, pp. 77-87, 2014.
Z. Yang and Becerik-Gerber, B., Coupled Effects of Personalized Occupancy Profile Based HVAC Schedule and Room Reassignment on Building Energy Consumption, Journal of Energy and Building, vol. 78, pp. 113-122, 2014.
B. H. Gunay, O'Brien, W., Beausoleil-Morrison, I., Goldstein, R., Breslav, S., and Khan, A., Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism, Journal of Building Performance Simulation, vol. 7, pp. 457-478, 2014.
T. Hong, D'Oca, S., and Corgnati, S. P., Data Mining of Occupant Behavior in Office Buildings, in BECC Behavior Energy and Climate Change Conference, Washington DC, USA, 2014.
S. D'Oca and Hong, T., A data-mining approach to discover patterns of window opening and closing behavior in offices, BUILD ENVIRON, vol. 82, pp. 726-739, 2014.
J. Yun and Song, M. H., Detecting direction of movement using pyroelectric infrared sensors, Sensors Journal, IEEE, vol. 14, pp. 1482-1489, 2014.
K. Stankov and He, D. C., Detection of buildings in multispectral very high spatial resolution images using the percentage occupancy hit-or-miss transform, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. PP, pp. 1-1, 2014.
N. van de Meugheuvel, Pandharipande, A., Caicedo, D., and van den Hof, P. P. J., Distributed lighting control with daylight and occupancy adaptation, Energy and Buildings, vol. 75, pp. 321-329, 2014.
S. Wei, Jones, R., and de Wilde, P., Driving factors for occupant-controlled space heating in residential buildings, Energy and Buildings, vol. 70, pp. 36-44, 2014.
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.
S. D'Oca, Corgnati, S. P., Fabi, V., and Andersen, R. K., Effect of thermostat and window opening occupant behavior models on energy use in homes, Building Simulation, vol. 7, no. 6, pp. 683-694, 2014.
R. Gulbinas and Taylor, J., Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings, Energy and Buildings, vol. 84, pp. 493-500, 2014.
E. Rodriguez-Ubinas, Rodriguez, S., Voss, K., and Todorovic, M. S., Energy efficiency evaluation of zero energy houses, ENERG BUILDINGS, vol. 83, pp. 23-35, 2014.
X. Xu, Culligan, P., and Taylor, J., Energy Saving Alignment Strategy: Achieving Energy Efficiency in Urban Buildings by Matching Occupant Temperature Preferences with a Building’s Indoor Thermal Environment, Applied Energy, vol. 123, pp. 209–219, 2014.
Q. Wang and J., T., Energy saving practice diffusion in online networks, Energy and Buildings, vol. 76, pp. 622-630, 2014.
R. Jain, Smith, K., Culligan, P., and Taylor, J., Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy, Applied Energy, vol. 123, pp. 168-178, 2014.
M. Pothitou, Kolios, A. J., Varga, L., and Gu, S., A framework for targeting household energy savings through habitual behavioral change., International Journal of Sustainable Energy, 2014.
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.
P. de Wilde, The gap between predicted and measured energy performance of buildings: A framework for investigation., Automation in Construction, vol. 41, pp. 40-49, 2014.
A. L. Pisello and Asdrubali, F., Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies, APPL ENERG , vol. 133, pp. 224-235, 2014.
F. Jazizadeh, Ghahramani, A., Becerik-Gerber, B., Kichkaylo, T., and Orosz, M., Human-Building Interaction Framework for Personalized Thermal Comfort Driven Systems in Office Buildings, ASCE Journal of Computing in Civil Engineering, Special Issue: Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, vol. 28, no. 1, pp. 2-16, 2014.
A. Roetzel, Tsangrassoulis, A., and Dietrich, U., Impact of building design and occupancy on office comfort and energy performance in different climates, Building and Environment, vol. 71, pp. 165-175, 2014.
S. Jeong, Gulbinas, R., Jain, R., and Taylor, J., The impact of combined water and energy consumption eco-feedback on conservation, Energy and Buildings, vol. 80, pp. 114-119, 2014.