Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models
暂无分享,去创建一个
S. Squartini | E. Principi | F. Piazza | Roberto Bonfigli | M. Fagiani | M. Severini | Marco Fagiani
[1] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[2] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[3] G. W. Hart,et al. Nonintrusive appliance load monitoring , 1992, Proc. IEEE.
[4] Steven B. Leeb,et al. Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms , 1996 .
[5] A. Albicki,et al. Algorithm for nonintrusive identification of residential appliances , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).
[6] Steven B. Leeb,et al. Power signature analysis , 2003 .
[7] N. Oreskes. The Scientific Consensus on Climate Change , 2004, Science.
[8] C. Rosenzweig,et al. Attributing physical and biological impacts to anthropogenic climate change , 2008, Nature.
[9] Corinna Fischer. Feedback on household electricity consumption: a tool for saving energy? , 2008 .
[10] Hong-Tzer Yang,et al. Applying a non-intrusive energy-management system to economic dispatch for a cogeneration system and power utility , 2009 .
[11] H. Farhangi,et al. The path of the smart grid , 2010, IEEE Power and Energy Magazine.
[12] Mario Berges,et al. Unsupervised disaggregation of appliances using aggregated consumption data , 2011 .
[13] Lucio Soibelman,et al. User-Centered Nonintrusive Electricity Load Monitoring for Residential Buildings , 2011 .
[14] D. Archer. Global Warming: Understanding the Forecast , 2011 .
[15] Qi Han,et al. Circuit-Level Load Monitoring for Household Energy Management , 2011, IEEE Pervasive Computing.
[16] Manish Marwah,et al. Unsupervised Disaggregation of Low Frequency Power Measurements , 2011, SDM.
[17] Michael Zeifman,et al. Nonintrusive appliance load monitoring: Review and outlook , 2011, IEEE Transactions on Consumer Electronics.
[18] Guilin Zheng,et al. Residential Appliances Identification and Monitoring by a Nonintrusive Method , 2012, IEEE Transactions on Smart Grid.
[19] Tommi S. Jaakkola,et al. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation , 2012, AISTATS.
[20] Muhammad Ali Imran,et al. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey , 2012, Sensors.
[21] Hsueh-Hsien Chang,et al. Non-Intrusive Demand Monitoring and Load Identification for Energy Management Systems Based on Transient Feature Analyses , 2012 .
[22] Friedemann Mattern,et al. Leveraging smart meter data to recognize home appliances , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications.
[23] Bernardete Ribeiro,et al. Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems , 2012, Neurocomputing.
[24] Yu-Hsiu Lin,et al. Modern development of an Adaptive Non-Intrusive Appliance Load Monitoring system in electricity energy conservation , 2012 .
[25] Matthew J. Johnson,et al. Bayesian nonparametric hidden semi-Markov models , 2012, J. Mach. Learn. Res..
[26] K. Armel,et al. Is disaggregation the holy grail of energy efficiency? The case of electricity , 2013 .
[27] Muhammad Ali Imran,et al. Low-power appliance monitoring using Factorial Hidden Markov Models , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.
[28] 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).
[29] Fred Popowich,et al. AMPds: A public dataset for load disaggregation and eco-feedback research , 2013, 2013 IEEE Electrical Power & Energy Conference.
[30] Hsueh-Hsien Chang,et al. A Non-intrusive Load Monitoring System Using an Embedded System for Applications to Unbalanced Residential Distribution Systems , 2014 .
[31] Alex Rogers,et al. An unsupervised training method for non-intrusive appliance load monitoring , 2014, Artif. Intell..
[32] Charles A. Sutton,et al. Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation , 2014, NIPS.
[33] N. Goddard,et al. Interleaved factorial non-homogeneous hidden Markov models for energy disaggregation , 2014, 1406.7665.
[34] Francesco Piazza,et al. Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).
[35] Fred Popowich,et al. Nonintrusive load monitoring (NILM) performance evaluation , 2015 .
[36] Bin Yang,et al. A new approach for supervised power disaggregation by using a deep recurrent LSTM network , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[37] Jack Kelly,et al. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation , 2015, BuildSys@SenSys.
[38] Francesco Piazza,et al. Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[39] Francesco Piazza,et al. User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring , 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).
[40] Fernando Pérez-Cruz,et al. Infinite Factorial Unbounded-State Hidden Markov Model , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Walid G. Morsi,et al. Nonintrusive Load Monitoring Using Wavelet Design and Machine Learning , 2016, IEEE Transactions on Smart Grid.
[42] Bin Yang,et al. A novel DNN-HMM-based approach for extracting single loads from aggregate power signals , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[43] Vladimir Stankovic,et al. On a Training-Less Solution for Non-Intrusive Appliance Load Monitoring Using Graph Signal Processing , 2016, IEEE Access.
[44] Peng Hin Lee,et al. Unsupervised approach for load disaggregation with devices interactions , 2016 .
[45] Federica Paganelli,et al. Context-Based Energy Disaggregation in Smart Homes , 2016, Future Internet.
[46] Fred Popowich,et al. Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring , 2016, IEEE Transactions on Smart Grid.
[47] Hussain Shareef,et al. Application of load monitoring in appliances’ energy management – A review , 2017 .
[48] Andrea Castelletti,et al. A Hybrid Signature-based Iterative Disaggregation algorithm for Non-Intrusive Load Monitoring , 2017 .