ZEMCH 2015 - International Conference Proceedings | Page 255

References
Aipperspach R, Cohen E and Canny J (2006) Modeling human behavior from simple sensors in the home. Pervasive
Computing.
Azar E and Menassa CC (2012) A comprehensive analysis of the impact of occupancy parameters in energy simulation
of office buildings. Energy and Buildings, Elsevier B.V., 55, 841–853.
Burges C (1998) A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery,
43, 1–43, Available from: http://link.springer.com/article/10.1023/A:1009715923555 (accessed 5 December 2014).
Chang C-C and Lin C-J (2011) Libsvm. ACM Transactions on Intelligent Systems and Technology, 2(3), 1–27.
Cook D, Crandall A, Thomas B, et al. (2013) CASAS: A smart home in a box. Computer, Available from: http://www.ncbi.
nlm.nih.gov/pmc/articles/PMC3886862/ (accessed 5 December 2014).
De Wilde P, Martinez-Ortiz C, Pearson D, et al. (2013) Building simulation approaches for the training of automated data
analysis tools in building energy management. Advanced Engineering Informatics, Elsevier Ltd, 27(4), 457–465.
Haldi F and Robinson D (2009) Interactions with window openings by office occupants. Building and Environment,
Elsevier Ltd, 44(12), 2378–2395.
Indyk P (1998) Approximate Nearest Neighbors : Towards Removing the Curse of Dimensionality RAJEEV MoTwd Department of Computer Science Stanford University. Department of Computer Science Stanford UniversityStanford,
CA 94305, 604–613.
Kasteren T van and van Kasteren TLM (2011) Human activity recognition from wireless sensor network data: Benchmark and software. Activity Recognition in Pervasive Intelligent Environments Atlantis Ambient and Pervasive Intelligence, 4, 165–186.
Mamidi S, Chang YH and Maheswaran R (2012) Improving building energy efficiency with a network of sensing, learning and prediction agents. AAMAS ’12 Proceedings of the 11th International Conference on Autonomous Agents and
Multiagent Systems, 1, 42–52.
Page J, Robinson D, Morel N, et al. (2008) A generalised stochastic model for the simulation of occupant presence. Energy and Buildings, 40(2), 83–98, Available from: http://www.mendeley.com/catalog/generalised-stochastic-model-simulation-occupant-presence/ (accessed 26 May 2014).
Pal M (2005) Multiclass approaches for support vector machine based land cover classification. Proc. 8th Annu. Int.
Conf., Map IndiaProc. 8th Annu. Int. Conf., Map India, Available from: http://arxiv.org/abs/0802.2411 (accessed 22
December 2014).
Rabiner LRR (1989) A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings
of the IEEE, 77(2), 257–286, Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=18626
(accessed 28 May 2014).
Si H, Kawahara Y, Morikawa H, et al. (2005) A stochastic approach for creating context-aware services based on context
histories in smart home. Histories in Smart Home, in: Proceeding of the 3rd International Conference on Pervasive
Computing, Exploiting Context Histories in Smart Environments.
Teixeira T, Dublon G and Savvides A (2010) A survey of human-sensing: Methods for detecting presence, count, location, track, and identity. ACM Computing Surveys, V.

Modelling occupant activity patterns for energy saving in buidings

253