Predicting household occupancy for smart heating control: A comparative performance analysis of state-of-the-art approaches

[1]  Silvia Santini,et al.  Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households , 2013, SenSys '13.

[2]  Prashant J. Shenoy,et al.  Non-Intrusive Occupancy Monitoring using Smart Meters , 2013, BuildSys@SenSys.

[3]  Silvia Santini,et al.  Occupancy Detection from Electricity Consumption Data , 2013, BuildSys@SenSys.

[4]  Silvia Santini,et al.  The influence of temporal and spatial features on the performance of next-place prediction algorithms , 2013, UbiComp.

[5]  Anind K. Dey,et al.  TherML: occupancy prediction for thermostat control , 2013, UbiComp.

[6]  Hojung Cha,et al.  Occupancy Prediction Algorithms for Thermostat Control Systems Using Mobile Devices , 2013, IEEE Transactions on Smart Grid.

[7]  John Krumm,et al.  EarlyOff: using house cooling rates to save energy , 2012, BuildSys@SenSys.

[8]  Wen-Jing Hsu,et al.  Predictability of individuals' mobility with high-resolution positioning data , 2012, UbiComp.

[9]  Masamichi Shimosaka,et al.  A Unified Framework for Modeling and Predicting Going-Out Behavior , 2012, Pervasive.

[10]  Kamin Whitehouse,et al.  The hitchhiker's guide to successful residential sensing deployments , 2011, SenSys.

[11]  John Krumm,et al.  PreHeat: controlling home heating using occupancy prediction , 2011, UbiComp '11.

[12]  T. Agami Reddy,et al.  Applied Data Analysis and Modeling for Energy Engineers and Scientists , 2011 .

[13]  Wolfgang Kastner,et al.  Clustering methods for occupancy prediction in smart home control , 2011, 2011 IEEE International Symposium on Industrial Electronics.

[14]  John Krumm,et al.  Learning Time-Based Presence Probabilities , 2011, Pervasive.

[15]  Cecilia Mascolo,et al.  NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems , 2011, Pervasive.

[16]  Thomas Weng,et al.  Duty-cycling buildings aggressively: The next frontier in HVAC control , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[17]  Miguel Á. Carreira-Perpiñán,et al.  OBSERVE: Occupancy-based system for efficient reduction of HVAC energy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[18]  Kamin Whitehouse,et al.  The smart thermostat: using occupancy sensors to save energy in homes , 2010, SenSys '10.

[19]  Gregor P. Henze,et al.  The performance of occupancy-based lighting control systems: A review , 2010 .

[20]  M Morari,et al.  Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions , 2010, Proceedings of the 2010 American Control Conference.

[21]  José A. Orosa,et al.  Implementation of a method in EN ISO 13790 for calculating the utilisation factor taking into account different permeability levels of internal coverings , 2010 .

[22]  Chaoming Song,et al.  Limits of Predictability in Human Mobility , 2010, Science.

[23]  Xing Xie,et al.  Mining Individual Life Pattern Based on Location History , 2009, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware.

[24]  Kent Larson,et al.  Adding GPS-Control to Traditional Thermostats: An Exploration of Potential Energy Savings and Design Challenges , 2009, Pervasive.

[25]  J. Kurnitski,et al.  Performance of EN ISO 13790 utilisation factor heat demand calculation method in a cold climate , 2007 .

[26]  Eric Horvitz,et al.  Predestination: Inferring Destinations from Partial Trajectories , 2006, UbiComp.

[27]  Gregor P. Henze,et al.  Building occupancy detection through sensor belief networks , 2006 .

[28]  Michael C. Mozer,et al.  The Neurothermostat: Predictive Optimal Control of Residential Heating Systems , 1996, NIPS.

[29]  John Ingersoll,et al.  Heating energy use management in residential buildings by temperature control , 1985 .

[30]  C. L. Gupta,et al.  A systematic approach to optimum thermal design , 1970 .

[31]  Friedemann Mattern,et al.  Simulating the energy savings potential in domestic heating scenarios in Switzerland , 2014 .

[32]  Tuan Anh Nguyen,et al.  Energy intelligent buildings based on user activity: A survey , 2013 .

[33]  Daniel Gatica-Perez,et al.  Discovering routines from large-scale human locations using probabilistic topic models , 2011, TIST.

[34]  D. Gática-Pérez,et al.  Towards rich mobile phone datasets: Lausanne data collection campaign , 2010 .

[35]  N. Helbig,et al.  Application of the radiosity approach to the radiation balance in complex terrain , 2009 .

[36]  Gail Brager,et al.  Comport control for short-term occupancy , 1994 .

[37]  Edward Henry Mathews,et al.  A first-order thermal model for building design , 1994 .

[38]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .