Agent-based and graphical modelling of building occupancy

References

• Abushakra , B. 2001 . Compilation of diversity factors and schedules for energy and cooling load calculations Technical report, Energy Systems Laboratory, Texas A and M University. http://hdl.handle.net/1969.1/2013
   Google Scholar
• Abushakra , B. and Claridge , D. E. 2008 . Modeling office building occupancy in hourly data-driven and detailed energy simulation programs . ASHRAE Transactions , 114 ( 2 ) July
   Google Scholar
• Borgelt , C. and Kruse , R. 2002 . Graphical models: methods for data analysis and mining , Wiley .
   Google Scholar
• Chaudhuri , S. , Drton , M. and Richardson , T. S. 2007 . Estimation of a covariance matrix with zeros . Biometrika , 94 ( 1 ) : 199 – 216 .
   Web of Science ®Google Scholar
• Cover , T. M. and Thomas , J. A. 1991 . Elements of information theory. Wiley Series in Telecommunications , New York : Wiley Interscience .
   Google Scholar
• Drton , M. and Perlman , M . 2004 . Model selection for Gaussian concentration graphs . Biometrika , 91 : 591 – 602 .
   Web of Science ®Google Scholar
• Gwynne , S. M.V. and Kuligowski , E. D. 2009 . Simulating a building as a people movement system . Journal of Fire Sciences , 27 ( 4 ) : 343 – 368 .
   Web of Science ®Google Scholar
• Gyalistras , D. and Gwerder , M. 2010 . Use of weather and occupancy forecasts for optimal building climate control (OptiControl): two years progress report Technical report, ETH Zurich, and Siemens Building Technologies Division, Siemens Switzerland Ltd., Zug, Switzerland. http://www.opticontrol.ethz.ch/Literature.html#top
   Google Scholar
• Helbing , D. 2001 . Traffic and related self-driven many-particle systems . Review of Modern Physics , 73 : 1067 – 1141 .
   Web of Science ®Google Scholar
• Hutchins , J. , Ihler , A. and Smyth , P. 2007 . Modeling count data from multiple sensors: a building occupancy model . IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing , December
   Google Scholar
• Lauritzen , S. L. 1996 . Graphical models , Oxford : Clarendon Press .
   Google Scholar
• Liao , C. and Barooah , P. An integrated approach to occupancy modeling and estimation in commercial buildings . In Proceedings of the 2010 American Control Conference, 30 June–2 July, 3130–3135 .
   Google Scholar
• Meyn , S. A sensor-utility-network method for estimation of occupancy distribution in buildings . 48th IEEE Conference on Decision and Control, 16–18 December 1494–1500 .
   Google Scholar
• Oldewurtel , F. Energy efficient building climate control using stochastic model predictive control and weather predictions . In Proceedings of the American Control Conference, Baltimore, MD, USA, 5100–5105 .
   Google Scholar
• Page , J. 2008 . A generalised stochastic model for the simulation of occupant presence . Energy and Buildings , 40 : 83 – 98 .
   Web of Science ®Google Scholar
• Pelechano , N. and Malkawi , A. 2008 . Evacuation simulation models: challenges in modeling high rise building evacuation with cellular automata approaches . Automation in Construction , 17 ( 4 ) : 377 – 385 .
   Web of Science ®Google Scholar
• Richardson , I. , Thomson , M. and Infield , D. 2008 . A high-resolution domestic building occupancy model for energy demand simulations . Energy and Buildings , 40 ( 8 ) : 1560 – 1566 .
   Web of Science ®Google Scholar
• Rue , H. and Held , L. 2005 . Gaussian Markov random fields: theory and applications. Monographs on Statistics and Applied Probability , London : Chapman and Hall .
   Google Scholar
• Shendarkar , A. Crowd simulation for emergency response using BDI agent based on virtual reality . WSC′06: Proceedings of the 38th conference on Winter simulation, Monterey, California, Winter Simulation Conference . pp. 545 – 553 . ISBN: 1-4244-0500-9
   Google Scholar
• Tanimoto , J. , Hagishima , A. and Sagara , H. 2008a . A methodology for peak energy requirement considering actual variation of occupants' behavior schedules . Building and Environment , 43 : 610 – 619 .
   Web of Science ®Google Scholar
• Tanimoto , J. , Hagishima , A. and Sagara , H. 2008b . Validation of methodology for utility demand prediction considering actual validations in inhabitant behavior schedules . Journal of Building Performance Simulation , 1 : 1 – 12 .
   Google Scholar
• Tanimoto , J. , Hagishima , A. and Sagara , H. 2008c . Validation of probabilistic methodology for generating actual inhabitants' behavior schedules for accurate prediction of maximum energy requirements . Energy and Buildings , 43 : 316 – 322 .
   Web of Science ®Google Scholar
• Tomastik , R. 2008 . Model-based real-time estimation of building occupancy during emergency egress . Pedestrian and Evacuation Dynamics , : 215 – 224 .
   Google Scholar
• Vieira , R. K. How contractors really size air conditioning systems . ACEEE Summer Study on Energy Efficiency in Buildings, American Council for an Energy-Efficient Economy, Washington, DC . www.fsec.ucf.edu/en/publications/html/FSEC-PF-289-95/index.htm
   Google Scholar
• Wang , D. , Federspiel , C. C. and Rubinstein , F. 2005 . Modeling occupancy in single person offices . Energy and buildings , 37 ( 2 ) : 121 – 126 .
   Web of Science ®Google Scholar
• Yamaguchi , Y. , Shimoda , Y. and Mizuno , M. Development of district energy system simulation model based on detailed energy demand model . Eighth International IBPSA Conference, Eindhoven, The Netherlands; 1443 .
   Google Scholar