Occupants Behavior Research Bibliography

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2018
S. D’Oca, Hong, T., and Langevin, J., The human dimensions of energy use in buildings: A review, Renewable and Sustainable Energy Reviews, vol. 81, pp. 731-742, 2018.
2017
C. H. Putra, Andrews, C. J., and Senick, J. A., An agent-based model of building occupant behavior during load shedding, Building Simulation, 2017.
Y. Chen, Hong, T., and Luo, X., An agent-based stochastic Occupancy Simulator, Building Simulation, pp. 1-13, 2017.
S. Pan, Wang, X., Wei, Y., Zhang, X., Gal, C., Ren, G., Yan, D., Shi, Y., Wu, J., Xia, L., Xie, J., and Liu, J., Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences, Building Simulation, pp. 1-10, 2017.
X. Zhou, Yan, D., and Shi, X., Comparative research on different air conditioning systems for residential buildings, Frontiers of Architectural Research, vol. 6, no. 1, pp. 42-52, 2017.
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.
H. Pallubinsky, Kingma, B. R., Schellen, L., Dautzenberg, B., van Baak, M. A., and Lichtenbelt, W. D. van Mar, The effect of warmth acclimation on behaviour, thermophysiology and perception, Building Research & Information, pp. 1-8, 2017.
M. Schweiker, Kingma, B., and Wagner, A., Evaluating the performance of thermal sensation prediction with a biophysical model, Indoor Air, 2017.
B. Kingma, Schweiker, M., Wagner, A., and W. Lichtenbelt, vanMarken, Exploring internal body heat balance to understand thermal sensation, Building Research & Information, pp. 1-11, 2017.
K. Sun and Hong, T., A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures, Energy and Buildings, vol. 146, pp. 383-396, 2017.
N. Ghiassi, Tahmasebi, F., and Mahdavi, A., Harnessing buildings’ operational diversity in a computational framework for high-resolution urban energy modeling, Building Simulation, pp. 1-17, 2017.
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.
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.
R. Kramer, Schellen, L., Schellen, H., and Kingma, B., Improving rational thermal comfort prediction by using subpopulation characteristics: a case study at Hermitage Amsterdam, Temperature, pp. 1-11, 2017.
X. Zhou and Yan, D., Influence of load feature on the water distribution system in a centralized air-conditioning system," Science and Technology for the Built Environment, Science and Technology for the Built Environment, vol. 23, no. 2, pp. 277-284, 2017.
K. Bandurski, Hamerla, M., Szulc, J., and Koczyk, H., The influence of multifamily apartment building occupants on energy and water consumption – the preliminary results of monitoring and survey campaign, in International conference on advances in energy systems and environmental engineering (ASEE17), Wrocław, Poland, 2017.
X. Feng, Yan, D., Yu, R., and Gao, Y., Investigation and modelling of the centralized solar domestic hot water system in residential buildings, Building Simulation, vol. 10, no. 1, pp. 87-96, 2017.
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.
S. Veselá, Kingma, B., and Frijns, A., Local thermal sensation modeling—a review on the necessity and availability of local clothing properties and local metabolic heat production, Indoor air, vol. 27, no. 2, pp. 261-272, 2017.
K. Katić, Li, R., Kingma, B., and Zeiler, W., Modelling hand skin temperature in relation to body composition, Journal of Thermal Biology, vol. 69, pp. 139-148, 2017.
J. An, Yan, D., Hong, T., and Sun, K., A novel stochastic modeling method to simulate cooling loads in residential districts, Applied Energy, vol. 206, pp. 134-149, 2017.
T. Hong, Chen, Y., Belafi, Z., and D’Oca, S., Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs, Building Simulation, pp. 1-14, 2017.
S. Yilmaz, Firth, S. K., and Allinson, D., Occupant behaviour modelling in domestic buildings: the case of household electrical appliances, Journal of Building Performance Simulation, pp. 1-19, 2017.
W. T. O'Brien, Gaetani, I., Carlucci, S., Hoes, P. - J., and Hensen, J., On occupant-centric building performance metrics, Building and Environment, 2017.
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.
K. - U. Ahn, Kim, D. - W., Park, C. - S., and de Wilde, P., Predictability of occupant presence and performance gap in building energy simulation, Applied Energy, 2017.
P. Xue, Hong, T., Dong, B., and Mak, C., A preliminary investigation of water usage behavior in single-family homes, Building Simulation, pp. 1-14, 2017.
Y. Chen, Liang, X., Hong, T., and Luo, X., Simulation and visualization of energy-related occupant behavior in office buildings, Building Simulation, pp. 1-14, 2017.
K. Sun and Hong, T., A simulation approach to estimate energy savings potential of occupant behavior measures, Energy and Buildings, vol. 136, pp. 43-62, 2017.
Z. Belafi, Hong, T., and Reith, A., Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary, Building Simulation, pp. 1-18, 2017.
Q. Zhang, Yan, D., An, J., Hong, T., Tian, W., and Sun, K., Spatial distribution of internal heat gains: A probabilistic representation and evaluation of its influence on cooling equipment sizing in large office buildings, Energy and Buildings, vol. 139, pp. 407-416, 2017.
S. Hu, Yan, D., Guo, S., Cui, Y., and Dong, B., A survey on energy consumption and energy usage behavior of households and residential building in urban China, Energy and Buildings, vol. 148, pp. 366-378, 2017.
S. D’Oca, Chen, C. - F., Hong, T., and Belafi, Z., Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings, Energy Research & Social Science, vol. 34, pp. 240-2, 2017.
T. Hong, Yan, D., D'Oca, S., and Chen, C. - F., Ten questions concerning occupant behavior in buildings: the big picture," Building and Environment, vol. 114, pp. 518-530, 2017.
H. Pallubinsky, Schellen, L., Kingma, B., Dautzenberg, B., van Baak, M., and W. Lichtenbelt, vanMarken, Thermophysiological adaptations to passive mild heat acclimation, Temperature, pp. 1-11, 2017.
H. T. Yan, Li, C., Zhang, Q., An, J., and Hu, S., A thorough assessment of China’s standard for energy consumption of buildings, Energy and Buildings, vol. 143, pp. 114-128, 2017.
J. Kim, de Dear, R., Parkinson, T., and Candido, C., Understanding patterns of adaptive comfort behaviour in the Sydney mixed-mode residential context, Energy and Buildings, vol. 141, pp. 274-283, 2017.
2016
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, vol. 116, pp. 694-702, 2016.
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.
C. J. Andrews, The Changing Socioeconomic Context of Buildings, Journal of Solar Energy Engineering, vol. 139, no. 1, 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.
X. Yu, Yan, D., Sun, K., Hong, T., and Zhu, D., Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings, Applied Energy, vol. 183, pp. 725-736, 2016.
K. U. Ahn and Park, C. S., Correlation between occupants and energy consumption, Energy and Buildings, vol. 116, pp. 420–433, 2016.
E. L. Hewitt, Andrews, C. J., Senick, J. A., Wener, R. E., Krogmann, U., and M. Allacci, S., Distinguishing between green building occupants’ reasoned and unplanned behaviours, Building Research & Information, vol. 44, no. 2, pp. 119-134, 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.
S. Carlucci, Lobaccaro, G., Li, Y., Lucchino, E. C., and Ramaci, R., The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building, Energy and Buildings, vol. 127, pp. 279-300, 2016.
C. J. Andrews, Hattis, D., Listokin, D., Senick, J. A., Sherman, G. B., and Souder, J., Energy-Efficient Reuse of Existing Commercial Buildings, Journal of the American Planning Association, vol. 82, no. 2, pp. 113-133, 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.
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.
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.
D. Yan, Jiang, Y., and Shi, X., Influence of asynchronous demand behavior on overcooling in multiple zone AC systems, Building and Environment, vol. 110, pp. 65-75, 2016.
X. Zhou, Yan, D., Feng, X., Deng, G., Jian, Y., and Jiang, Y., Influence of household air-conditioning use modes on the energy performance of residential district cooling systems, Building Simulation, vol. 9, pp. 429-441, 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.
W. O’Brien, Gaetani, I., Gilani, S., Carlucci, S., Hoes, P. - J., and Hensen, J., International survey on current occupant modelling approaches in building performance simulation, Journal of Building Performance Simulation, pp. 1-19, 2016.
B. R. Kingma, The link between autonomic and behavioral thermoregulation, Temperature: Multidisciplinary Biomedical Journal, vol. 3, no. 2, p. 195, 2016.
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.
S. Gauthier, Aragon, V., James, P., and Anderson, B., Occupancy Patterns Scoping Review Project, Department for Business, Energy & Industrial Strategy, University of Southampton, 2016.
I. Gaetani, Hoes, P. - J., and Hensen, J. L., Occupant behavior in building energy simulation: towards a fit-for-purpose modeling strategy, Energy and Buildings, vol. 121, pp. 188-204, 2016.
V. M. Barthelmes, Becchio, C., and Corgnati, S. P., Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort, Science and Technology for the Built Environment, vol. 22, no. 7, pp. 960-975, 2016.
T. Hong, Sun, H., Chen, Y., Taylor-Lange, S. C., and Yan, D., An occupant behavior modeling tool for co-simulation, Energy and Buildings, vol. 117, pp. 272-281, 2016.
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.
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, vol. 117, pp. 332-340, 2016.
W. O’Brien, Gunay, H. B., Tahmasebi, F., and Mahdavi, A., A preliminary study of representing the inter-occupant diversity in occupant modelling, Journal of Building Performance Simulation, pp. 1-18, 2016.
W. Tian, Liu, Y., Heo, Y., Yan, D., Lia, Z., An, J., and Yang, S., Relative importance of factors influencing building energy in urban environment, Energy, vol. 111, pp. 237-250, 2016.
I. Gaetani, Hoes, P. - J., and Hensen, J. L., On the sensitivity to different aspects of occupant behaviour for selecting the appropriate modelling complexity in building performance predictions, Journal of Building Performance Simulation, pp. 1-11, 2016.
X. Feng, Yan, D., and Wang, C., On the simulation repetition and temporal discretization of stochastic occupant behaviour models in building performance simulation, Journal of Building Performance Simulation, pp. 1-13, 2016.
J. An, Yan, D., Deng, G., and Yu, R., Survey and performance analysis of centralized domestic hot water system in China, Energy and Buildings, vol. 133, pp. 321-334, 2016.
S. Hu, Yan, D., Cui, Y., and Guo, S., Urban residential heating in hot summer and cold winter zones of China—Status, modeling, and scenarios to 2030, Energy Policy, vol. 92, pp. 158-170, 2016.
C. J. Andrews, Allacci, M. S., Senick, J., Putra, H. C., and Tsoulou, I., Using synthetic population data for prospective modeling of occupant behavior during design, Energy and Buildings, vol. 126, pp. 415-423, 2016.
A. Roetzel, Variability of building simulation results depending on selected weather files and conditioning set points–a case study for a residential building in Victoria, Australia, Journal of Green Building, vol. 11, no. 4, pp. 91-108, 2016.
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.
X. Zhou, Yan, D., Hong, T., and Ren, X., Data analysis and stochastic modeling of lighting energy use in large office buildings in China, Energy and Buildings, vol. 86, pp. 275-287, 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.
H. Chandra-Putra, Chen, J., and Andrews, C. J., Eco-Evolutionary Pathways Toward Industrial Cities, Journal of Industrial Ecology, , vol. 19, no. 2, pp. 274-284, 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.
B. Kingma and W. Lichtenbelt, vanMarken, Energy consumption in buildings and female thermal demand, Nature climate change, vol. 5, no. 12, pp. 1054-1056, 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, 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.
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.
V. M. Zavala, Inference of building occupancy signals using moving horizon estimation and Fourier regularization (submitted), Journal of Process Control, 2015.
K. Bandurski and Koczyk, H., Influence of stochastic internal heat gains in multifamily buildings on yearly energy demand , INSTAL (in Polish), vol. 12, pp. 55-61, 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.
S. Guo, Yan, D., Peng, C., Cui, Y., Zhou, X., and Hu, S., Investigation and analyses of residential heating in the HSCW climate zone of China: Status quo and key features, Building and Environment, vol. 94, pp. 532-542, 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, 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.
2014
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.
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.
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.
T. Ryan and Vipperman, J. S., Incorporation of scheduling and adaptive historical data in the Sensor-Utility-Network method for occupancy estimation, Energy and Buildings, vol. 61, pp. 88-92, 2013.
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.
T. Weiherer, Bouzouraa, S., and Hofmann, U., An interval based representation of occupancy information for driver assistance systems, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 21-27, 2013.
G. Mcgill, An investigation of indoor air quality in UK energy efficient homes : A case study, 2013.
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.
Z. O’Neill and Eisenhower, B., Leveraging the analysis of parametric uncertainty for building energy model calibration, Building Simulation, vol. 6, pp. 365-377, 2013.
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.
K. Weekly, Donghyun, R., Lin, Z., Bayen, A. M., Nazaroff, W. W., and Spanos, C. J., Low-cost coarse airborne particulate matter sensing for indoor occupancy detection, Automation Science and Engineering (CASE), 2013 IEEE International Conference on. pp. 32-37, 2013.
W. O'Brien, Kapsis, K., and Athienitis, A. K., Manually-operated window shade patterns in office buildings: A critical review, Building and Environment, vol. 60, pp. 319-338, 2013.
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.
V. Motuziene and Vilutiene, T., Modelling the Effect of the Domestic Occupancy Profiles on Predicted Energy Demand of the Energy Efficient House, Procedia Engineering, vol. 57, pp. 798-807, 2013.
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.
K. Soohwan and Jonghyuk, K., Occupancy mapping and surface reconstruction using local gaussian processes with kinect sensors, Cybernetics, IEEE Transactions on, vol. 43, pp. 1335-1346, 2013.
L. Seungwoo, Yohan, C., Yunjong, K., Rhan, H., and Hojung, C., Occupancy prediction algorithms for thermostat control systems using mobile devices, Smart Grid, IEEE Transactions on, vol. 4, pp. 1332-1340, 2013.
S. Goyal, Ingley, H. A., and Barooah, P., Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance, Applied Energy, vol. 106, pp. 209-221, 2013.
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.
T. Hong and Lin, H. - W., Occupant behavior: Impact on energy use of private offices, LBNL-6128E, 2013.
C. Voelker, Beckmann, J., Koehlmann, S., and Kornadt, O., Occupant requirements in residential buildings: an empirical study and a theoretical model, Advances in Building Energy Research, vol. 7, pp. 35-50, 2013.
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.
Q. Sean and Rajagopal, R., Optimal stochastic control for parking systems: occupancy-driven parking pricing, Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on. pp. 7771-7776, 2013.
D. G. L. Samuel, Nagendra, S. M. S., and Maiya, M. P., Passive alternatives to mechanical air conditioning of building: A review, Building and Environment, vol. 66, pp. 54-64, 2013.
R. A. Tanner and Henze, G. P., Quantifying the impact of occupant behavior in mixed mode buildings, in ASCE 2013, 2013.
T. Ekwevugbe, Brown, N., Pakka, V., and Fan, D., Real-time building occupancy sensing using neural-network based sensor network, Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on. pp. 114-119, 2013.
S. Rosiek and Batlles, F. J., Reducing a solar-assisted air-conditioning system’s energy consumption by applying real-time occupancy sensors and chilled water storage tanks throughout the summer: A case study, Energy Conversion and Management, vol. 76, pp. 1029-1042, 2013.
C. Duarte, Van den Wymelenberg, K., and Rieger, C., Revealing occupancy patterns in an office building through the use of occupancy sensor data, Energy and Buildings, vol. 67, pp. 587-595, 2013.
M. Althoff, Hess, D., and Gambert, F., Road occupancy prediction of traffic participants, Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. pp. 99-105, 2013.
T. Sookoor and Whitehouse, K., Roomzoner: Occupancy-based room-level zoning of a centralized HVAC system, Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on. pp. 209-218, 2013.
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.
T. S. Blight and Coley, D. A., Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings., Energy and Buildings, vol. 66, pp. 183-192, 2013.
S. Karjalainen, Should it be automatic or manual-The occupant's perspective on the design of domestic control systems., Energy and Buildings, vol. 65, pp. 119-126, 2013.
J. Torriti, The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model, Utilities Policy, vol. 27, pp. 49-56, 2013.
A. Kashif, Ploix, S., Dugdale, J., and Le, X. H. B., Simulating the dynamics of occupant behavior for power management in residential buildings., ENERG BUILDINGS , vol. 56, pp. 85-93, 2013.
D. Frankel, Heck, S., and Tai, H., Sizing the potential of behavioral energy-efficiency initiative in the US residential market, McKinsey & Company, 2013.
R. Galvin, Targeting ‘behavers’ rather than behaviours: A ‘subject-oriented’ approach for reducing space heating rebound effects in low energy dwellings, Energy and Buildings, vol. 67, pp. 596-607, 2013.
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.
P. Jianli, Jain, R., Biswas, P., Weining, W., Addepalli, S., and Paul, S., Toward an energy-proportional building prospect: Evaluation and analysis of the energy consumption in a green building testbed, Energytech, 2013 IEEE. pp. 1-6, 2013.
M. Wang, Zhang, G., and Li, C., Whole building operation optimal control system based on an occupancy sensor network, Control Conference (CCC), 2013 32nd Chinese. pp. 6439-6444, 2013.
R. Andersen, Fabi, V., Toftum, J., Corgnati, S. P., and Olesen, B. W., Window opening behaviour modelled from measurements in Danish dwellings., Building and Environment, vol. 69, 2013.
K. Ackerly and Brager, G., Window signalling systems: control strategies and
occupant behaviour.
, Building Research & InformationBuilding Research & Information, vol. 41, pp. 37-41, 2013.
A. Zarabzadeh, Schoofs, A., Benia, R. V., Sintoni, A., and Ruzzelli, A., A wireless sensor network for energy efficiency in an educational environment, Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013 11th International Symposium on. pp. 107-112, 2013.
2012
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.
J. A. Jakubiec and Reinhart, C. F., The 'adaptive zone' - A concept for assessing discomfort glare throughout daylit spaces, Lighting Research & Technology, vol. 44, pp. 149-170, 2012.
N. E. Suleman, Characteristics of user redesign process: A study of changes made by users in architect-designed housing, Journal of Civil Engineering and Architecture, vol. 6, pp. 496-503, 2012.
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.
L. Klein, Kwak, J., Kavulya, G., Jazizadeh, F., Becerik-Gerber, B., Varakantham, P., and Tambe, M., Coordinating Occupant Behavior for Building and Comfort Management Using Multi-Agent Systems, Journal of Automation in Construction, vol. 22, pp. 515-536, 2012.
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.
Y. Zhang and Barrett, P., Factors influencing occupants' blind-control behaviour in a naturally ventilated office building, Building and Environment, vol. 54, pp. 137-147, 2012.
F. Wahl, Milenkovic, M., and Amft, O., A green autonomous self-sustaining sensor node for counting people in office environments, Education and Research Conference (EDERC), 2012 5th European DSP. IEEE, pp. 203-207, 2012.
S. Bin, Greening Work Styles: An analysis of energy behavior programs in the workplace. , 2012.
D. Bonino, Corno, F., and De Russis, L., Home energy consumption feedback: A user survey, Energy and Buildings, vol. 47, pp. 383-393, 2012.
A. Meier, Aragon, C., Hurwitz, B., Mujumda, D., Peffer, T., and Perry, D., How people actually use thermostats, in In: ACEEE summer study on energy efficiency, Pacific Grove, CA, 2012.
A. Roetzel and Tsangrassoulis, A., Impact of climate change on comfort and energy performance in offices, Building and Environment, vol. 57, pp. 349-361, 2012.
R. Zhang, Lam, K. P., Chiou, Y. - S., and Dong, B., Information-theoretic environment features selection for occupancy detection in open office spaces, Building Simulation, vol. 5, pp. 179-188, 2012.
N. Saldanha and Beausoleil-Morrison, I., Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution, Energy and Buildings, vol. 49, pp. 519-530, 2012.
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.
S. Ilyas, Emery, A., Heerwagen, J., and Heerwegen, D., Occupant perceptions of an indoor thermal environment in a naturally ventilated building, ASHRAE Transactions, vol. 118, 2012.
H. N. Knudsen, Jensen, O. M., and Kristensen, L., Occupant satisfaction with new low-energy houses, 2012.
V. Fabi, Andersen, R. V., Corgnati, S., and Olesen, B. W., Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models, Building and Environment, vol. 58, pp. 188-198, 2012.
K. Van den Wymelenberg, Patterns of occupant interaction with window blinds: A literature review, Energy and Buildings, vol. 51, pp. 165-176, 2012.
H. - M. Chen, Lin, C. - W., Hsieh, S. - H., Chao, H. - F., Chen, C. - S., Shiu, R. - S., Ye, S. - R., and Deng, Y. - C., Persuasive feedback model for inducing energy conservation behaviors of building users based on interaction with a virtual object, Energy and Buildings, vol. 45, pp. 106-115, 2012.
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.
F. Haldi, A probabilistic model to predict building occupants' diversity towards their interactions with the building envelope , Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28. pp. 1475-1482, 2012.
M. Frontczak, Schiavon, S., Goins, J., Arens, E., Zhang, H., and Wargocki, P., Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design, Indoor Air, vol. 22, pp. 119-131, 2012.
J. Virote and Neves-Silva, R., Stochastic models for building energy prediction based on occupant behavior assessment, Energy and Buildings, vol. 53, pp. 183-193, 2012.
F. Jazizadeh and Becerik-Gerber, B., Toward Adaptive Comfort Management in Office Buildings Using Participatory Sensing for End User Driven Control of Building Systems, in 4th ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings, Toronto, Canada, 2012.
J. Day, Theodorson, J., and Van den Wymelenberg, K., Understanding controls, behaviors and satisfaction in the daylit perimeter office: A daylight design case study, Journal of Interior Design, vol. 37, pp. 17-34, 2012.
M. Schweiker, Haldi, F., Shukuya, M., and Robinson, D., Verification of stochastic models of window opening behaviour for residential buildings, Journal of Building Performance Simulation, vol. 5, pp. 55-74, 2012.
2011
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.
B. Dong and Lam, K. P., Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network, Journal of Building Performance Simulation, vol. 4, pp. 359-369, 2011.
K. B. Janda, Buildings don't use energy: people do, Architectural Science Review, vol. 54, 2011.
P. M. Bluyssen, Aries, M., and Van Dommelen, P., Comfort of workers in office buildings: The European HOPE project, Building and Environment, vol. 46, pp. 280-288, 2011.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Context dependency of comfort and energy performance in mixed mode offices, Journal of Building Performance Simulation, Special Issue: Modelling Occupants' Presence and Behaviour – Part , vol. 4, no. 4, pp. 303-322, 2011.
W. Parys, Saelens, D., and Hens, H., Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices - a review-based integrated methodology, Journal of Building Performance Simulation, vol. 4, pp. 339-358, 2011.
C. F. Reinhart and Wienold, J., The daylighting dashboard - A simulation-based design analysis for daylit spaces, Building and Environment, vol. 46, pp. 386-396, 2011.
E. F. Pino, de la Flor, F. J. Sanchez, and De Herde, A., Definition of occupant behaviour patterns with respect to ventilation by means of multivariate statistical techniques, 32nd AIVC Conference and 1st TightVent Conference: Towards Optimal Airtightness Performance. Brussels, Belgium, 2011.
K. Gram-Hanssen, Households' energy use - Which is the more important: efficient technologies or user practices?, pp. 992-999, 2011.
T. Peffer, Pritoni, M., Meier, A., Aragon, C., and Perry, D., How people use thermostats in homes: A review, Building and Environment, vol. 46, pp. 2529-2541, 2011.
A. Mahdavi, The human dimension of building performance simulation, in Proceedings of Building Simulation 2011, 12th Conference of International Building Performance Simulation Association, Sydney, 14-16 November., 2011.
F. Haldi and Robinson, D., The impact of occupants' behaviour on building energy demand, Journal of Building Performance Simulation, vol. 4, pp. 323-338, 2011.
D. Dewees and Tombe, T., The impact of sub-metering on condominium electricity demand, Canadian Public Policy-Analyse De Politiques, vol. 37, pp. 435-457, 2011.
B. Dong, Lam, K. P., and Neuman, C., Integrated building control based on occupant behavior pattern detection and local weather forecasting., in Twelfth International IBPSA Conference, Sydney, Australia, 2011, pp. 14-17.
M. Schweiker and Shukuya, M., Investigation on the effectiveness of various methods of information dissemination aiming at a change of occupant behaviour related to thermal comfort and exergy consumption, Energy Policy, vol. 39, pp. 395-407, 2011.
Z. M. Gill, Tierney, M. J., Pegg, I. M., and Allan, N., Measured energy and water performance of an aspiring low energy/carbon affordable housing site in the UK, Energy and Buildings, vol. 43, pp. 117-125, 2011.
A. C. G. Warner and Warner, B. Y. C. G., Measurements of the Ventilation of Dwellings , vol. 40, pp. 125-153, 2011.
G. Bekö, Toftum, J., and Clausen, G., Modeling ventilation rates in bedrooms based on building characteristics and occupant behavior, Building and Environment, vol. 46, pp. 2230-2237, 2011.
T. Blight and Coley, D. A., Modelling occupant behaviour in low energy buildings: Bridging the energy gap , Paper delivered at “Buildings Don‟t Use Energy, People Do” – Domestic Energy Use and CO2 Emissions in Existing Dwellings, Bath, UK - 28 June 2011Paper delivered at “Buildings Don‟t Use Energy, People Do” – Domestic Energy Use and CO2 Emiss, pp. 56-66, 2011.
F. Haldi and Robinson, D., Modelling occupants' personal characteristics for thermal comfort prediction, International Journal of Biometeorology, vol. 55, pp. 681-694, 2011.
K. Dooley, New ways of working: Linking energy consumption to people, REHVA Journal, pp. 39-44, 2011.
C. Wang, Yan, D., and Jiang, Y., A novel approach for building occupancy simulation, Building Simulation, vol. 4, pp. 149-167, 2011.
R. Bălan, Cooper, J., Chao, K. - M., Stan, S., and Donca, R., Parameter identification and model based predictive control of temperature inside a house, Energy and Buildings, vol. 43, pp. 748-758, 2011.
C. Peng, Yan, D., Wu, R., Wang, C., Zhou, X., and Jiang, Y., Quantitative description and simulation of human behavior in residential buildings, Building Simulation, vol. 5, pp. 85-94, 2011.
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.
M. Shipworth, Thermostat settings in English houses: No evidence of change between 1984 and 2007, Building and Environment, vol. 46, pp. 635-642, 2011.
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.
Y. Benezeth, Laurent, H., Emile, B., and Rosenberger, C., Towards a sensor for detecting human presence and characterizing activity, Energy and Buildings, vol. 43, pp. 305-314, 2011.
A. J. Marszal, Heiselberg, P., Bourrelle, J. S., Musall, E., Voss, K., Sartori, I., and Napolitano, A., Zero Energy Building - A review of definitions and calculation methodologies, Energy and Buildings, vol. 43, pp. 971-979, 2011.
2010
F. Haldi and Robinson, D., Adaptive actions on shading devices in response to local visual stimuli, Journal of Building Performance Simulation, vol. 3, pp. 135-153, 2010.
M. Indraganti, Adaptive use of natural ventilation for thermal comfort in Indian apartments, Building and Environment, vol. 45, pp. 1490-1507, 2010.
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.
S. Y. Koo, Yeo, M. S., and Kim, K. W., Automated blind control to maximize the benefits of daylight in buildings, Building and Environment, vol. 45, pp. 1508-1520, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Balancing buildings and occupants - a holistic approach to thermal comfort and greenhouse gas emissions in mixed mode offices, in Adapting to Change: New Thinking on Comfort, Windsor, UK, 2010.
E. Arens, Behavior and Buildings, Newsletter of the Center for the Built Environment at the University of California, Berkeley. Center for the Built Environment, Berkeley, CA, 2010.
J. Toftum, Central automatic control or distributed occupant control for better indoor environment quality in the future, Building and Environment, vol. 45, pp. 23-28, 2010.
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.
M. Schweiker and Shukuya, M., Comparative effects of building envelope improvements and occupant behavioural changes on the exergy consumption for heating and cooling, Energy Policy, vol. 38, pp. 2976-2986, 2010.
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.
K. Kapsis, Tzempelikos, A., Athienitis, A. K., and Zmeureanu, R. G., Daylighting performance evaluation of a bottom-up motorized roller shade, Solar Energy, vol. 84, pp. 2120-2131, 2010.
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.
T. Crosbie and Baker, K., Energy-efficiency interventions in housing: learning from the inhabitants, Building Research & Information, vol. 38, pp. 70-79, 2010.
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.
J. Widén and Wäckelgård, E., A high-resolution stochastic model of domestic activity patterns and electricity demand, Applied Energy, vol. 87, pp. 1880-1892, 2010.
D. Daum and Morel, N., Identifying important state variables for a blind controller, Building and Environment, vol. 45, pp. 887-900, 2010.
M. Bessoudo, Tzempelikos, A., Athienitis, A. K., and Zmeureanu, R., Indoor thermal environmental conditions near glazed facades with shading devices - Part I: Experiments and building thermal model, Building and Environment, vol. 45, pp. 2506-2516, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., On the influence of building design, occupants and heat waves on comfort and greenhouse gas emissions in naturally ventilated offices. A study based on the EN 15251 adaptive thermal comfort model in Athens, Greece, Building Simulation: An International Journal, vol. 3, no. 2, pp. 87-103, 2010.
B. Dong, Andrews, B., Lam, K. P., Höynck, M., Zhang, R., Chiou, Y. - S., and Benitez, D., An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network., Energy and Buildings, vol. 42, pp. 1038-1046, 2010.
L. Chenda and Barooah, P., An integrated approach to occupancy modeling and estimation in commercial buildings, American Control Conference (ACC), 2010. 2010 American Control Conference
Marriott Waterfront, Baltimore, MD, USA
June 30-July 02, 2010, pp. 3130-3135, 2010.
P. Torcellini, Pless, S., Lobato, C., and Hootman, T., Main street net-zero energy buildings: The zero energy method in concept and practice, in Es2010: Proceedings of Asme 4th International Conference on Energy Sustainability, Vol 1, Phoenix, Arizona, 2010, pp. 1009-1017.
V. Tabak and de Vries, B., Methods for the prediction of intermediate activities by office occupants, Building and Environment, vol. 45, pp. 1366-1372, 2010.
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.
O. Guerra-Santin and Itard, L., Occupants' behaviour: determinants and effects on residential heating consumption, Building Research & Information, vol. 38, pp. 318-338, 2010.
X. Guo, Tiller, D. K., Henze, G. P., and Waters, C. E., The performance of occupancy-based lighting control systems: A review, Lighting Research & Technology, vol. 42, pp. 415-431, 2010.
S. Wei, Buswell, R., and Loveday, D., Probabilistic modelling of human adaptive behaviour in non-air- conditioned buildings, vol. 55, pp. 9-11, 2010.
K. Gram-Hanssen, Residential heat comfort practices: understanding users, Building Research & InformationBuilding Research & Information, vol. 38, pp. 175-186, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., A review of occupant control on natural ventilation, Renewable and Sustainable Energy Reviews, vol. 14, pp. 1001-1013, 2010.
S. Roaf, Nicol, F., Humphreys, M., Tuohy, P., and Boerstra, A., Twentieth century standards for thermal comfort: promoting high energy buildings, Architectural Science Review, vol. 53, pp. 65-77, 2010.
P. Tuohy, Roaf, S., Nicol, F., Humphreys, M., and Boerstra, A., Twenty first century standards for thermal comfort: fostering low carbon building design and operation, Architectural Science Review, vol. 53, pp. 78-86, 2010.
G. Bekö, Lund, T., Nors, F., Toftum, J., and Clausen, G., Ventilation rates in the bedrooms of 500 Danish children, Building and Environment, vol. 45, pp. 2289-2295, 2010.
S. Dutton, Spencer, M., and Shao, L., Window opening behaviour in a natrually ventilated school , in SimBuild2010, New York, NY, 2010, 4th National Conference of IBPSA-USA, August 11-13, 2010 vol., pp. 260-268.
M. B. C. Aries, Veitch, J. A., and Newsham, G. R., Windows, view, and office characteristics predict physical and psychological discomfort, Journal of Environmental Psychology, vol. 30, pp. 533-541, 2010.
2009
G. R. Newsham and Arsenault, C., A camera as a sensor for lighting and shading control, Lighting Research & Technology, vol. 41, pp. 143-163, 2009.
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.
F. Haldi and Robinson, D., A comprehensive stochastic model of blind usage: theory and validation, Proceedings of the Eleventh International IBPSA Conference. pp. 529-536, 2009.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., Raja, I. A., and Clarke, J., Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings, ASHRAE Transactions, vol. 114, p. 555, 2009.
G. O. Santin, Itard, L., and Visscher, H., The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock, Energy and Buildings, vol. 41, pp. 1223-1232, 2009.
J. Ouyang and Hokao, K., Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China, Energy and Buildings, vol. 41, pp. 711-720, 2009.
T. Malmqvist and Glaumann, M., Environmental efficiency in residential buildings – A simplified communication approach, Building and Environment, vol. 44, pp. 937-947, 2009.
B. Xu, Fu, L., and Di, H., Field investigation on consumer behavior and hydraulic performance of a district heating system in Tianjin, China, Building and Environment, vol. 44, pp. 249-259, 2009.
Z. Brown and Cole, R. J., Influence of occupants' knowledge on comfort expectations and behaviour, Building Research & Information, vol. 37, pp. 227-245, 2009.
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.
E. Juodis, Jaraminiene, E., and Dudkiewicz, E., Inherent variability of heat consumption in residential buildings, Energy and Buildings, vol. 41, pp. 1188-1194, 2009.
F. Haldi and Robinson, D., Interactions with window openings by office occupants, Building and Environment, vol. 44, pp. 2378-2395, 2009.
Y. Sampei and Aoyagi-Usui, M., Mass-media coverage, its influence on public awareness of climate-change issues, and implications for Japan's national campaign to reduce greenhouse gas emissions, Global Environmental Change-Human and Policy Dimensions, vol. 19, pp. 203-212, 2009.
D. Mumovic, Davies, M., Ridley, I., Altamirano-Medina, H., and Oreszczyn, T., A methodology for post-occupancy evaluation of ventilation rates in schools, Building Services Engineering Research and Technology, vol. 30, pp. 143-152, 2009.
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.
P. Tuohy, Humphreys, M. A., Nicol, J. F., Rijal, H. B., and Clarke, J., Occupant behavior in naturally ventilated and hybrid buildings, ASHRAE Transactions, vol. 115, pp. 16-27, 2009.
G. Brager and Baker, L., Occupant satisfaction in mixed-mode buildings, Building Research and Information, vol. 37, pp. 369-380, 2009.
A. Mahdavi, Patterns and implications of user control actions in buildings, Indoor and Built Environment, vol. 18, pp. 440-446, 2009.
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.
C. Bae and Chun, C., Research on seasonal indoor thermal environment and residents' control behavior of cooling and heating systems in Korea, Building and Environment, vol. 44, pp. 2300-2307, 2009.
B. Dong and Andrews, B., Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings, Proceedings of building simulation, 2009.
R. V. Andersen, Toftum, J., Andersen, K. K., and Olesen, B. W., Survey of occupant behaviour and control of indoor environment in Danish dwellings, Energy and Buildings, vol. 41, pp. 11-16, 2009.
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.
S. Karjalainen, Thermal comfort and use of thermostats in Finnish homes and offices, Building and Environment, vol. 44, pp. 1237-1245, 2009.
L. Peeters, Dear, R. D., Hensen, J., and D’haeseleer, W., Thermal comfort in residential buildings: Comfort values and scales for building energy simulation, Applied Energy, vol. 86, pp. 772-780, 2009.
G. Y. Yun, Tuohy, P., and Steemers, K., Thermal performance of a naturally ventilated building using a combined algorithm of probabilistic occupant behaviour and deterministic heat and mass balance models, Energy and Buildings, vol. 41, pp. 489-499, 2009.
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.
H. Brohus, Heiselberg, P., Simonsen, A., and Sørensen, K. C., Uncertainty of energy consumption assessment of domestic buildings., Building Simulation, Eleventh International IBPSA ConferenceBuilding Simulation, Eleventh International IBPSA Conference, pp. 1022-1029, 2009.
H. B. Rijal, Humphreys, M. A., and Nicol, J. F., Understanding occupant behaviour: the use of controls in mixed-mode office buildings, Building Research & Information, vol. 37, pp. 381-396, 2009.
P. Hoes, Hensen, J. L. M., Loomans, M. G. L. C., de Vries, B., and Bourgeois, D., User behavior in whole building simulation, Energy and Buildings, vol. 41, pp. 295-302, 2009.
M. E. Dietz, Mulford, J., and Case, K., The Utah House: An effective educational tool and catalyst for behavior change?, Building and Environment, vol. 44, pp. 1707-1713, 2009.
D. Mcgee, Variable selection of correlated predictors in logistic regression: Investigating the diet-heart hypothesis , 2009.
2008
J. Weisenberg, Cuddihy, P., and Rajiv, V., Augmenting motion sensing to improve detection of periods of unusual inactivity, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments. ACM, p. 2, 2008.
D. Lindeloef and Morel, N., Bayesian estimation of visual discomfort, Building Research and Information, vol. 36, pp. 83-96, 2008.
F. Haldi and Robinson, D., On the behaviour and adaptation of office occupants, Building and Environment, vol. 43, pp. 2163-2177, 2008.
M. Nakamura, Sakurai, A., Furubo, S., and Ban, H., Collaborative processing in Mote-based sensor/actuator networks for environment control application, Signal Processing, vol. 88, pp. 1827-1838, 2008.
E. Shove, Chappells, H., Lutzenhiser, L., and Hackett, B., Comfort in a lower carbon society, Building Research & Information, vol. 36, pp. 307-311, 2008.
H. B. Rijal, Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J., Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings, Journal of Building Performance Simulation, vol. 1, pp. 17-30, 2008.
L. Tronchin and Fabbri, K., Energy performance building evaluation in Mediterranean countries: Comparison between software simulations and operating rating simulation, Energy and Buildings, vol. 40, pp. 1176-1187, 2008.
C. Turner, Frankel, M., and Council, U. G. B., Energy performance of LEED for new construction buildings, New Buildings Institute Vancouver, WA, 2008.
E. Sardianou, Estimating space heating determinants: An analysis of Greek households, Energy and Buildings, vol. 40, pp. 1084-1093, 2008.
A. Roetzel, Evaluation of thermal and visual comfort in offices considering realistic input data and user behaviour in building simulation, in Air Conditioning and the Low Carbon Cooling Challenge, Windsor, UK, 2008.
C. Fischer, Feedback on household electricity consumption: a tool for saving energy?, Energy Efficiency , vol. 1, pp. 79-104, 2008.
W. Kim, Ahn, H. T., and Kim, J. T., A first approach to discomfort glare in the presence of non-uniform luminance, Building and Environment, vol. 43, pp. 1953-1960, 2008.
J. van Hoof, Forty years of Fanger's model of thermal comfort: comfort for all?, Indoor air, vol. 18, pp. 182-201, 2008.
J. Page, Robinson, D., Morel, N., and Scartezzini, J. L., A generalised stochastic model for the simulation of occupant presence, Energy and Buildings, vol. 40, pp. 83-98, 2008.
I. Richardson, Thomson, M., and Infield, D., A high-resolution domestic building occupancy model for energy demand simulations, Energy and Buildings, vol. 40, pp. 1560-1566, 2008.
J. Tanimoto, Hagishima, A., and Sagara, H., A methodology for peak energy requirement considering actual variation of occupants’ behavior schedules, Building and Environment, vol. 43, pp. 610-619, 2008.
B. Abushakra and Claridge, D. E., Modeling office building occupancy in hourly data-driven and detailed energy simulation programs., ASHRAE Transactions, vol. 114, pp. 472-481, 2008.
G. Y. Yun, Steemers, K., and Baker, N., Natural ventilation in practice: linking facade design, thermal performance, occupant perception and control, Building Research & Information, vol. 36, pp. 608-624, 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.
Y. G. Yohanis, Mondol, J. D., Wright, A., and Norton, B., Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use, Energy and Buildings, vol. 40, pp. 1053-1059, 2008.
R. J. Cole, Robinson, J., Brown, Z., and O'Shea, M., Re-contextualizing the notion of comfort, Building Research and Information, vol. 36, pp. 323-336, 2008.
D. A. Coley, Representin top-hung windows in thermal models, International Journal of Ventilation, vol. 7, pp. 151-158, 2008.
A. Taherkordi, Rouvoy, R., Le-Trung, Q., and Eliassen, F., A self-adaptive context processing framework for wireless sensor networks, Proceedings of the 3rd international workshop on Middleware for sensor networks. ACM, pp. 7-12, 2008.
G. Y. Yun and Steemers, K., Time-dependent occupant behaviour models of window control in summer, Building and Environment, vol. 43, pp. 1471-1482, 2008.
S. Herkel, Knapp, U., and Pfafferott, J., Towards a model of user behaviour regarding the manual control of windows in office buildings, Building and Environment, vol. 43, pp. 588-600, 2008.
F. Offermann, Cih, P. E., Pe, S. B., Hodgson, A., Jenkins, P., ,, Springer, D., and Eit, T. W., Window usage, ventilation and formaldehyde concentrations in new California homes, pp. 17-22, 2008.
D. P. Wyon and Wargocki, P., Window-opening behaviour when classroom temperature and air quality are manipulated experimentally, 2008.
2007
K. Pathak, Birk, A., Poppinga, J., and Schwertfeger, S., 3D forward sensor modeling and application to occupancy grid based sensor fusion, Proceedings of the 2007 IEEE/RSJ International
Conference on Intelligent Robots and Systems
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H. Zhang, Arens, E., Fard, S. A., Huizenga, C., Paliaga, G., Brager, G., and Zagreus, L., Air movement preferences observed in office buildings, International journal of biometeorology, vol. 51, pp. 349-60, 2007.
K. J. Lomas, Architectural design of an advanced naturally ventilated building form., Energy and Buildings, vol. 39, pp. 166-181, 2007.
A. Leaman and Bordass, B., Are users more tolerant of 'green' buildings?, Building Research and Information, vol. 35, pp. 662-673, 2007.
M. Rowe, Lane, S., and Phipps, C., CareWatch: A home monitoring system for use in homes of persons with cognitive impairment, Topics in geriatric rehabilitation, vol. 23, p. 3, 2007.
A. Wheeler, Commercial applications of wireless sensor networks using ZigBee, Communications Magazine, IEEE, vol. 45, pp. 70-77, 2007.
J. Ü. Pfafferott, Herkel, S., Kalz, D. E., and Zeuschner, A., Comparison of low-energy office buildings in summer using different thermal comfort criteria, Energy and Buildings, vol. 39, pp. 750-757, 2007.
M. Yguel, Tay, C., Keat, M., Braillon, C., Laugier, C., and Aycard, O., Dense mapping for range sensors: Efficient algorithms and sparse representations, 2007.
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.
B. Poel, van Cruchten, G., and Balaras, C. A., Energy performance assessment of existing dwellings, Energy and Buildings, vol. 39, pp. 393-403, 2007.
A. D. Galasiu, Newsham, G. R., Suvagau, C., and Sander, D. M., Energy saving lighting control systems for open-plan offices: A field study, Leukos, vol. 4, pp. 7-29, 2007.
G. Wood and Newborough, M., Energy-use information transfer for intelligent homes: Enabling energy conservation with central and local displays, Energy and Buildings, vol. 39, pp. 495-503, 2007.
T. T. Chow, He, W., and Ji, J., An experimental study of facade-integrated photovoltaic/water-heating system, Applied Thermal Engineering, vol. 27, pp. 37-45, 2007.
S. Karjalainen, Gender differences in thermal comfort and use of thermostats in everyday thermal environments, Building and Environment, vol. 42, pp. 1594-1603, 2007.
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.
A. Tzempelikos and Athienitis, A. K., The impact of shading design and control on building cooling and lighting demand, Solar Energy, vol. 81, pp. 369-382, 2007.
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.
F. Nicol and Humphreys, M., Maximum temperatures in European office buildings to avoid heat discomfort, Solar Energy, vol. 81, pp. 295-304, 2007.
F. Karlsson, Rohdin, P., and Persson, M. L., Measured and predicted energy demand of a low energy building: Important aspects when using building energy simulation, Building Services Engineering Research & Technology, vol. 28, pp. 223-235, 2007.
Y. Tachwali, Refai, H., and Fagan, J. E., Minimizing HVAC energy consumption using a wireless sensor network, Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. IEEE, pp. 439-444, 2007.
J. Hutchins, Ihler, A., and Smyth, P., Modeling count data from multiple sensors: a building occupancy model, Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on. IEEE, pp. 241-244, 2007.
C. A. Brown, Multizone register controlled residential heating: Optimized for energy use and comfort, University of California, Berkeley, 2007.
T. Collins, Collins, J. J., and Ryan, C., Occupancy grid mapping: An empirical evaluation, 2007. MED'07. Mediterranean Conference on Control & Automation. IEEE, pp. 1-6, 2007.
M. De Carli, Olesen, B. W., Zarrella, A., and Zecchin, R., People's clothing behaviour according to external weather and indoor environment, Building and Environment, vol. 42, pp. 3965-3973, 2007.
J. Teizer, Caldas, C. H., and Haas, C. T., Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources, Journal of Construction Engineering and Management, vol. 133, pp. 880-888, 2007.
J. Page, Robinson, D., and Scartezzini, J. - L., Simulating occupant presence and behaviour in buildings, 2007.
A. Tzempelikos, Athienitis, A. K., and Karava, P., Simulation of facade and envelope design options for a new institutional building, Solar Energy, vol. 81, pp. 1088-1103, 2007.
J. Pfafferott and Herkel, S., Statistical simulation of user behaviour in low-energy office buildings, Solar energy, vol. 81, pp. 676-682, 2007.
J. Page, Robinson, D., and Scartezzini, J. - L., Stochastic simulation of occupant presence and behaviour in buildings, Proc. Tenth Int. IBPSA Conf: Building Simulation. 2007.
F. H. Rohles, Temperature and temperment: A psychologist looks at comfort , ASHRAE Journal, vol. 49, 2007.
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.
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. S. Bahaj and James, P. A. B., Urban energy generation: The added value of photovoltaics in social housing, Renewable & Sustainable Energy Reviews, vol. 11, pp. 2121-2136, 2007.
S. Karjalainen and Koistinen, A., User problems with individual temperature control in offices, Building and Environment, vol. 42, pp. 2880-2887, 2007.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., and Clarke, J., Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings, Energy and Buildings, vol. 39, pp. 823-836, 2007.
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2006
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2005
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2004
V. Pavlovas, Demand controlled ventilation: A case study for existing Swedish multifamily buildings, Energy and Buildings, vol. 36, pp. 1029-1034, 2004.
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G. S. Brager, Paliaga, G., and de Dear, R., Operable windows, personal control, and occupant comfort, ASHRAE Transactions, vol. 110, 2004.
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2003
F. Rubinstein, Colak, N., Jennings, J., and Neils, D., Analyzing occupancy profiles from a lighting controls field study, Lawrence Berkeley National Laboratory, 2003.
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2002
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2001
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2000
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1999
J. F. Nicol, Raja, I. A., Allaudin, A., and Jamy, G. N., Climatic variations in comfortable temperatures: the Pakistan projects, Energy and Buildings, vol. 30, pp. 261-279, 1999.
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1993
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1984
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1977
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1951
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