Non-Intrusive Load Monitoring Based on Novel Transient Signal in Household Appliances with Low Sampling Rate
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[1] F. Sultanem,et al. Using appliance signatures for monitoring residential loads at meter panel level , 1991 .
[2] Jian Liang,et al. Load Signature Study—Part I: Basic Concept, Structure, and Methodology , 2010, IEEE Transactions on Power Delivery.
[3] Fahad Javed,et al. An Empirical Investigation of V-I Trajectory Based Load Signatures for Non-Intrusive Load Monitoring , 2013, IEEE Transactions on Smart Grid.
[4] Manish Marwah,et al. Unsupervised Disaggregation of Low Frequency Power Measurements , 2011, SDM.
[5] Jay Lee,et al. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .
[6] Jack Kelly,et al. Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature , 2016, ArXiv.
[7] Steven B. Leeb,et al. Power signature analysis , 2003 .
[8] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[9] Hussain Shareef,et al. Application of load monitoring in appliances’ energy management – A review , 2017 .
[10] Howon Kim,et al. Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature , 2017, Comput. Intell. Neurosci..
[11] Fred Popowich,et al. Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring , 2016, IEEE Transactions on Smart Grid.
[12] Tommi S. Jaakkola,et al. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation , 2012, AISTATS.
[13] Alex Rogers,et al. Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types , 2012, AAAI.
[14] Fred Popowich,et al. Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 , 2016, Scientific Data.
[15] Bin Yang,et al. An Approach for Unsupervised Non-Intrusive Load Monitoring of Residential Appliances , 2013 .
[16] Lukas Mauch,et al. How well can HMM model load signals , 2016 .
[17] Hsueh-Hsien Chang,et al. Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification , 2014, IEEE Transactions on Industry Applications.
[18] Jing Liao,et al. A low-complexity energy disaggregation method: Performance and robustness , 2014, 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG).
[19] Sousso Kelouwani,et al. Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach , 2018 .
[20] Muhammad Ali Imran,et al. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey , 2012, Sensors.
[21] Shubi Kaijage,et al. A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem , 2017, ArXiv.
[22] Jack Kelly,et al. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation , 2015, BuildSys@SenSys.
[23] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[24] Hsueh-Hsien Chang,et al. A New Measurement Method for Power Signatures of Nonintrusive Demand Monitoring and Load Identification , 2011, IEEE Transactions on Industry Applications.
[25] Sekyung Han,et al. Real-Time Recognition Non-Intrusive Electrical Appliance Monitoring Algorithm for a Residential Building Energy Management System , 2015 .
[26] Bernardete Ribeiro,et al. An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems , 2011, ICANNGA.
[27] Jing Liao,et al. Non-Intrusive Load Disaggregation Using Graph Signal Processing , 2018, IEEE Transactions on Smart Grid.
[28] Gerhard P. Hancke,et al. Using neural networks for non-intrusive monitoring of industrial electrical loads , 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).
[29] Y. Ahmet Sekercioglu,et al. Recent approaches to non-intrusive load monitoring techniques in residential settings , 2013, 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).
[30] Gregory D. Abowd,et al. At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award) , 2007, UbiComp.
[31] G. W. Hart,et al. Nonintrusive appliance load monitoring , 1992, Proc. IEEE.