A machine-learning based approach to model user occupancy and activity patterns for energy saving in buildings
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J. L. Gomez Ortega | L. Han | N. Whittacker | N. Bowring | N. Bowring | Liangxiu Han | J. L. G. Ortega | N. Whittacker
[1] Bing Dong,et al. Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings , 2009 .
[2] T. Teixeira,et al. A Survey of Human-Sensing : Methods for Detecting Presence , Count , Location , Track , and Identity , 2010 .
[3] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[4] Rui Zhang,et al. An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network , 2010 .
[5] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[6] Kent Larson,et al. Activity Recognition in the Home Using Simple and Ubiquitous Sensors , 2004, Pervasive.
[7] Diane J. Cook,et al. Recognizing independent and joint activities among multiple residents in smart environments , 2010, J. Ambient Intell. Humaniz. Comput..
[8] Burcin Becerik-Gerber,et al. Human-Building Interaction Framework for Personalized Thermal Comfort-Driven Systems in Office Buildings , 2014, J. Comput. Civ. Eng..
[9] Neil Brown,et al. Real-time building occupancy sensing using neural-network based sensor network , 2013, 2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST).
[10] Y Zhu,et al. Progress in thermal comfort research over the last twenty years. , 2013, Indoor air.
[11] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[12] Carlos Martinez-Ortiz,et al. Building simulation approaches for the training of automated data analysis tools in building energy management , 2013, Adv. Eng. Informatics.
[13] Rajiv T. Maheswaran,et al. Improving building energy efficiency with a network of sensing, learning and prediction agents , 2012, AAMAS.
[14] Cem Ersoy,et al. Using Active Learning to Allow Activity Recognition on a Large Scale , 2011, AmI.
[15] Enamul Hoque,et al. AALO: Activity recognition in smart homes using Active Learning in the presence of Overlapped activities , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[16] Darren Robinson,et al. A generalised stochastic model for the simulation of occupant presence , 2008 .
[17] Mehiar Dabbagh,et al. An Algorithm-Centric Energy-Aware Design Methodology , 2014, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[18] Young-Koo Lee,et al. A Genetic Algorithm-based Classifier Ensemble Optimization for Activity Recognition in Smart Homes , 2013, KSII Trans. Internet Inf. Syst..
[19] Diane J. Cook,et al. CASAS: A Smart Home in a Box , 2013, Computer.
[20] H. Karamath Ali. Automatic Construction of Finite Automata for Online Recognition of User Activities in Smart Environments , 2013 .
[21] Brigitte Meillon,et al. Using the Multicom Domus Dataset , 2011 .
[22] Alberto E. Cerpa,et al. Energy efficient building environment control strategies using real-time occupancy measurements , 2009, BuildSys '09.
[23] Burcin Becerik-Gerber,et al. A thermal preference scale for personalized comfort profile identification via participatory sensing , 2013 .
[24] Tuan Anh Nguyen,et al. Energy intelligent buildings based on user activity: A survey , 2013 .
[25] Nan Li,et al. Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations , 2012 .
[26] John Krumm,et al. PreHeat: controlling home heating using occupancy prediction , 2011, UbiComp '11.
[27] Jesse Hoey,et al. Activity Recognition in Pervasive Intelligent Environments , 2011 .
[28] Mahesh Pal,et al. Multiclass Approaches for Support Vector Machine Based Land Cover Classification , 2008, ArXiv.
[29] Liangxiu Han,et al. Scalable Online Incremental Learning for Web Spam Detection , 2012 .
[30] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[31] Tina Yu,et al. Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings , 2010, 2010 Ninth International Conference on Machine Learning and Applications.
[32] Piotr Indyk,et al. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality , 2012, Theory Comput..
[33] Gwenn Englebienne,et al. Human activity recognition from wireless sensor network data: benchmark and software , 2011 .
[34] Hwataik Han,et al. OCCUPANCY ESTIMATION BASED ON CO 2 CONCENTRATION USING DYNAMIC NEURAL NETWORK MODEL , 2013 .
[35] James W. Howard,et al. Forecasting building occupancy using sensor network data , 2013, BigMine '13.