Recognition of air-conditioner operation from indoor air temperature and relative humidity by a data mining approach

Hirsch, 2010, 59 Yan, 2008, DeST – an integrated building simulation toolkit, Part I: Fundamentals, Build. Simul., 1, 95, 10.1007/s12273-008-8118-8 Li, 2007, Survey and analysis on influence of environment parameters and residents’ behaviors on air conditioning energy consumption in a residential building, HV&AC, 37, 67 De Wilde, 2014, The gap between predicted and measured energy performance of buildings: a framework for investigation, Autom. Constr., 41, 40, 10.1016/j.autcon.2014.02.009 Menezes, 2012, Predicted vs. actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap, Appl. Energy, 97, 355, 10.1016/j.apenergy.2011.11.075 Hong, 2015, An ontology to represent energy-related occupant behavior in buildings, Part I: Introduction to the DNAs framework, Build. Environ. 2015 Ren, 2014, Air-conditioning usage conditional probability model for residential buildings, Build. Environ., 81, 172, 10.1016/j.buildenv.2014.06.022 Yasue, 2013, Modeling the occupant behavior relating to window and air conditioner operation based on survey results Shih, 2014, A robust occupancy detection and tracking algorithm for the automatic monitoring and commissioning of a building, Energy Build., 77, 270, 10.1016/j.enbuild.2014.03.069 Song, 2008, Surveillance tracking system using passive infrared motion sensors in wireless sensor network, 1 Hess, 2014, Wireless smart meters and public acceptance: the environment, limited choices, and precautionary politics, Public Underst. Sci., 23, 688, 10.1177/0963662512464936 Fabi, 2012, Occupants’ window opening behaviour: a literature review of factors influencing occupant behaviour and models, Build. Environ., 58, 188, 10.1016/j.buildenv.2012.07.009 Jin, 2015, Sensing by proxy: occupancy detection based on indoor CO2 concentration, 14 Lam, 2009, Information-theoretic environmental features selection for occupancy detection in open offices, 1460 Wold, 1983, Pattern recognition: finding and using regularities in multivariate data, Food Res. Data Anal., 147 Fang, 2014, Wireless monitoring and control system for indoor environment based on ZigBee technology, Future Inf. Eng. (2 Volume Set), 49 Fisk, 2002, How IEQ affects health, productivity, ASHRAE J., 44, 56 Allen, 2015, Green buildings and health, Curr. Environ. Health Rep., 2, 250, 10.1007/s40572-015-0063-y Zhao, 2014, Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining, Energy Build., 82, 341, 10.1016/j.enbuild.2014.07.033 Atallah, 2007, Behaviour profiling with ambient and wearable sensing, 133 Dong, 2010 Dong, 2010, An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network, Energy Build., 42, 1038, 10.1016/j.enbuild.2010.01.016 Drummond, 2003, C4.5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling Fukunaga, 2013 Nishida, 1995, Curve description based on directional features and quasi-convexity/concavity, Pattern Recognit., 28, 1045, 10.1016/0031-3203(94)00177-N Quinlan, 1993 Shannon, 1948, A note on the concept of entropy, Bell Syst. Tech. J., 27, 379, 10.1002/j.1538-7305.1948.tb01338.x Kohavi, 1996, 202 Fushiki, 2011, Estimation of prediction error by using K-fold cross-validatio, Stat. Comput., 21, 137, 10.1007/s11222-009-9153-8 2015 2015 Ravi, 2005, Activity recognition from accelerometer data, 1541 Ghai, 2012, Occupancy detection in commercial buildings using opportunistic context sources, 463 Yu, 2011, A methodology for identifying and improving occupant behavior in residential buildings, Energy, 36, 6596, 10.1016/j.energy.2011.09.002 Cui, 2009, Curve matching for open 2D curves, Pattern Recognit. Lett., 30, 1, 10.1016/j.patrec.2008.08.013 Lin, 2009, A description and recognition method of curve configuration and its application, J. South China Univ. Technol. (Natural Science Edition), 2, 17 Andrew, 2007, Scalable training of L1-regularized log-linear models, 33