Occupancy schedules learning process through a data mining framework
暂无分享,去创建一个
[1] Bauke de Vries,et al. Methods for the prediction of intermediate activities by office occupants , 2010 .
[2] Vivian Loftness,et al. OCCUPANT BEHAVIOR AND SCHEDULE PREDICTION BASED ON OFFICE APPLIANCE ENERGY CONSUMPTION DATA MINING , 2013 .
[3] J. Ross Quinlan,et al. Simplifying decision trees , 1987, Int. J. Hum. Comput. Stud..
[4] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.
[5] Benjamin C. M. Fung,et al. A decision tree method for building energy demand modeling , 2010 .
[6] Heikki Mannila,et al. Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.
[7] Yi Jiang,et al. A novel approach for building occupancy simulation , 2011 .
[8] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[9] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[10] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[11] Ian Beausoleil-Morrison,et al. A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices , 2013 .
[12] Chenda Liao,et al. An integrated approach to occupancy modeling and estimation in commercial buildings , 2010, Proceedings of the 2010 American Control Conference.
[13] Benjamin C. M. Fung,et al. A novel methodology for knowledge discovery through mining associations between building operational data , 2012 .
[14] Benjamin C. M. Fung,et al. A systematic procedure to study the influence of occupant behavior on building energy consumption , 2011 .
[15] Kevin Van Den Wymelenberg,et al. Patterns of occupant interaction with window blinds: A literature review , 2012 .
[16] Francis Rubinstein,et al. Modeling occupancy in single person offices , 2005 .
[17] Tianzhen Hong,et al. Occupant Behavior: Impact onEnergy Use of Private Offices , 2013 .
[18] Fernanda Leite,et al. Integrating probabilistic methods for describing occupant presence with building energy simulation models , 2014 .
[19] Tianzhen Hong,et al. Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data , 2013 .
[20] Tianzhen Hong,et al. Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration , 2014, Building and Environment.
[21] Rui Neves-Silva,et al. Stochastic models for building energy prediction based on occupant behavior assessment , 2012 .
[22] Theo M.M. Verhallen,et al. PATTERNS OF RESIDENTIAL ENERGY BEHAVIOR , 1983 .
[23] Y. Yamaguchi,et al. DEVELOPMENT OF DISTRICT ENERGY SYSTEM SIMULATION MODEL BASED ON DETAILED ENERGY DEMAND MODEL , 2003 .
[24] Darren Robinson,et al. A generalised stochastic model for the simulation of occupant presence , 2008 .
[25] Carlos Duarte,et al. Revealing occupancy patterns in an office building through the use of occupancy sensor data , 2013 .
[26] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[28] Olivia Guerra Santin,et al. Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .
[29] Karim K. Hirji,et al. Discovering data mining: from concept to implementation , 1999, SKDD.
[30] Bing Dong,et al. A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting , 2014 .