Power disaggregation of combined HVAC loads using supervised machine learning algorithms
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[1] Yasuhiro Hayashi,et al. Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers , 2017, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).
[2] Tianzhu Zhang,et al. Load disaggregation using harmonic analysis and regularized optimization , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.
[3] Koushik Nagasubramanian,et al. On load disaggregation using discrete events , 2016, 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).
[4] Leslie M. Collins,et al. Performance comparison framework for energy disaggregation systems , 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).
[5] Hairong Qi,et al. Non-Intrusive Energy Disaggregation Using Non-Negative Matrix Factorization With Sum-to-k Constraint , 2017, IEEE Transactions on Power Systems.
[6] Dominik Egarter,et al. Autonomous load disaggregation approach based on active power measurements , 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).
[7] Peng Xu,et al. HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model , 2015 .
[8] E. Schmautzer,et al. Appliance-specific energy consumption feedback for domestic consumers using load disaggregation methods , 2013 .
[9] Leandros Tassiulas,et al. Low Cost Disaggregation of Smart Meter Sensor Data , 2016, IEEE Sensors Journal.
[10] Antonio Liotta,et al. Big IoT data mining for real-time energy disaggregation in buildings , 2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[11] Hiroshi Mineno,et al. Development of electric power disaggregation system for chain stores , 2016, 2016 IEEE 5th Global Conference on Consumer Electronics.
[12] Fredrik Wallin,et al. Supervised household's loads pattern recognition , 2016, 2016 IEEE Electrical Power and Energy Conference (EPEC).
[13] Hassan Farhangi,et al. Residential electric load disaggregation for low-frequency utility applications , 2015, 2015 IEEE Power & Energy Society General Meeting.
[14] Boonyang Plangklang,et al. Nonintrusive load monitoring (NILM) using an Artificial Neural Network in embedded system with low sampling rate , 2016, 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
[15] Navid Ghavami,et al. Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles , 2017 .
[16] Yao Wu,et al. Residential load disaggregation based on resident behavior learning and neural networks , 2017, 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2).
[17] Jian Liang,et al. Load Signature Study—Part I: Basic Concept, Structure, and Methodology , 2010, IEEE Transactions on Power Delivery.
[18] Sousso Kelouwani,et al. Approach in Nonintrusive Type I Load Monitoring Using Subtractive Clustering , 2017, IEEE Transactions on Smart Grid.
[19] Ying Wang,et al. Voltage only multi-appliance power disaggregation , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).
[20] Henrik Ohlsson,et al. A dynamical systems approach to energy disaggregation , 2013, 52nd IEEE Conference on Decision and Control.
[21] Peng Hin Lee,et al. Unsupervised approach for load disaggregation with devices interactions , 2016 .
[22] Emmanouel A. Varvarigos,et al. Supervised energy disaggregation using dictionary — based modelling of appliance states , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).
[23] Varun Mehra,et al. A novel application of machine learning techniques for activity-based load disaggregation in rural off-grid, isolated solar systems , 2016, 2016 IEEE Global Humanitarian Technology Conference (GHTC).
[24] Michael Baldea,et al. Nonintrusive disaggregation of residential air-conditioning loads from sub-hourly smart meter data , 2014 .
[25] Maher Kayal,et al. Automatic multi-state load profile identification with application to energy disaggregation , 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
[26] Steven B. Leeb,et al. Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms , 1996 .
[27] Peng Hin Lee,et al. Non-intrusive load disaggregation with adaptive estimations of devices main power effects and two-way interactions , 2016 .
[28] Ben Potter,et al. Small power load disaggregation in office buildings based on electrical signature classification , 2016, 2016 IEEE International Energy Conference (ENERGYCON).
[29] Tengfei Liu,et al. A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).
[30] M. Girish Chandra,et al. Power system load data models and disaggregation based on sparse approximations , 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).
[31] Timo Bernard,et al. Combining several distinct electrical features to enhance nonintrusive load monitoring , 2015, 2015 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE).
[32] M. Girish Chandra,et al. Event and feature based electrical load disaggregation using graph signal processing , 2017, 2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA).
[33] David J. Hill,et al. An Extensible Approach for Non-Intrusive Load Disaggregation With Smart Meter Data , 2018, IEEE Transactions on Smart Grid.
[34] Miguel Delgado Prieto,et al. Disaggregation of HVAC load profiles for the monitoring of individual equipment , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
[35] Janaka Ekanayake,et al. Residential Appliance Identification Based on Spectral Information of Low Frequency Smart Meter Measurements , 2016, IEEE Transactions on Smart Grid.
[36] Kuo-Lung Lian,et al. A New Power Signature for Nonintrusive Appliance Load Monitoring , 2015, IEEE Transactions on Smart Grid.
[37] Vladimir Stankovic,et al. Power disaggregation of domestic smart meter readings using dynamic time warping , 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).