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Application of wavelet-based ensemble tree classifier for non-intrusive load monitoring
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Alshareef, S.1
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Carnegie Mellon Univ., Pittsburgh, PA, USA
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Ph.D. Dissertation, Dept. Elect. Comput. Eng
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Anderson, K.D.1
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Iaşi, Romania
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Ardeleanu, A.S.1
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K. S. Barsim, R. Streubel, and B. Yang, "Unsupervised adaptive event detection for building-level energy disaggregation, " presented at the Power Energy Stud. Summary, Stuttgart, Germany, 2015.
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Barsim, K.S.1
Streubel, R.2
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Marseille, France
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K. Basu, V. Debusschere, and S. Bacha, "Load identification from power recordings at meter panel in residential households, " in Proc. 20th Int. Conf. Elect. Mach. (ICEM), Marseille, France, 2012, pp. 2098-2104.
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Proc. 20th Int. Conf. Elect. Mach. (ICEM)
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Basu, K.1
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13
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84893629154
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Residential appliance identification and future usage prediction from smart meter
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IEEE Ind. Elect. Soc., Vienna, Austria
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K. Basu, V. Debusschere, and S. Bacha, "Residential appliance identification and future usage prediction from smart meter, " presented at the Annu. Conf. IEEE Ind. Elect. Soc., Vienna, Austria, 2013, pp. 4994-4999.
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Basu, K.1
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84922952380
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Nonintrusive load monitoring: A temporal multilabel classification approach
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K. Basu, V. Debusschere, S. Bacha, U. Maulik, and S. Bondyopadhyay, "Nonintrusive load monitoring: A temporal multilabel classification approach, " IEEE Trans. Ind. Informat., vol. 11, no. 11, pp. 262-270, Feb. 2015.
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15
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Time series distance-based methods for non-intrusive load monitoring in residential buildings
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Jun
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K. Basu, V. Debusschere, A. Douzal-Chouakria, and S. Bacha, "Time series distance-based methods for non-intrusive load monitoring in residential buildings, " Energy Build., vol. 96, pp. 109-117, Jun. 2015.
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INDiC: Improved non-intrusive load monitoring using load division and calibration
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Miami, FL, USA
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N. Batra, H. Dutta, and A. Singh, "INDiC: Improved non-intrusive load monitoring using load division and calibration, " presented at the Int. Conf. Mach. Learn. Appl., Miami, FL, USA, 2013, pp. 79-84.
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A Comparison of Non-intrusive Load Monitoring Methods for Commercial and Residential Buildings
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19
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The ECO data set and the performance of non-intrusive load monitoring algorithms
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Memphis, TN, USA
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C. Beckel, W. Kleiminger, R. Cicchetti, T. Staake, and S. Santini, "The ECO data set and the performance of non-intrusive load monitoring algorithms, " presented at the ACM Conf. Embedded Syst. Energy Efficient Build., Memphis, TN, USA, 2014, pp. 80-89.
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Presented at the ACM Conf. Embedded Syst. Energy Efficient Build
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Beckel, C.1
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Cicchetti, R.3
Staake, T.4
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20
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84055212433
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User-centered nonintrusive electricity load monitoring for residential buildings
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M. Berges, M. Goldman, H. Matthews, L. Soibelman, and K. Anderson, "User-centered nonintrusive electricity load monitoring for residential buildings, " J. Comput. Civil Eng., vol. 25, pp. 471-480, Nov./Dec. 2011.
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Chennai, India
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Smart meter systems detection & classification using artificial neural networks
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Montreal, QC, Canada
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Bier, T.1
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Smart meter systems measurements for the verification of the detection & classification algorithms
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Vienna, Austria
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T. Bier, D. Benyoucef, D. O. Abdeslam, J. Merckle, and P. Klein, "Smart meter systems measurements for the verification of the detection & classification algorithms, " presented at the IECON, Vienna, Austria, 2013, pp. 5000-5005.
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Presented at the IECON
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Bier, T.1
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Klein, P.5
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25
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A novel approach for home appliances identification using vector projection length and Stockwell transform
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Fortaleza, Brazil
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V. P. Borin, C. H. Barriquello, M. L. da Silva Martins, and A. Campos, "A novel approach for home appliances identification using vector projection length and Stockwell transform, " presented at the IEEE Braz. South. Power Electron. Conf., Fortaleza, Brazil, 2015, pp. 1-6.
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Borin, V.P.1
Barriquello, C.H.2
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Campos, A.4
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26
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84866791605
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Load signatures improvement through the determination of a spectral distribution coefficient for load identification
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Presented at the Int. Conf. Eur. Energy Market
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Bouhouras, A.S.1
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27
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Development of distinct load signatures for higher efficiency of NILM algorithms
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Proc. 7th Domest. Use Energy Conf
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A novel feature extraction method for nonintrusive appliance load monitoring
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Kyoto, Japan
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Energies
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Chang, H.-H.1
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84957679386
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Feature extraction based Hellinger distance algorithm for non-intrusive aging load identification in residential buildings
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Addison, TX, USA
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H.-H. Chang, M.-C. Lee, N. Chen, C.-L. Chien, and W.-J. Lee, "Feature extraction based Hellinger distance algorithm for non-intrusive aging load identification in residential buildings, " presented at the IEEE Ind. Appl. Soc. Annu. Meeting, Addison, TX, USA, 2015, pp. 1-8.
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Chang, H.-H.1
Lee, M.-C.2
Chen, N.3
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Lee, W.-J.5
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36
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Energy spectrumbased wavelet transform for non-intrusive demand monitoring and load identification
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Lake Buena Vista, FL, USA
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H.-H. Chang, K.-L. Lian, Y.-C. Su, and W.-J. Lee, "Energy spectrumbased wavelet transform for non-intrusive demand monitoring and load identification, " presented at the Ind. Appl. Soc. Annu. Meeting, Lake Buena Vista, FL, USA, 2013, pp. 1-9.
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Presented at the Ind. Appl. Soc. Annu. Meeting
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Chang, H.-H.1
Lian, K.-L.2
Su, Y.-C.3
Lee, W.-J.4
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37
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84884566151
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Particle-swarmoptimization- based nonintrusive demand monitoring and load identification in smart meters
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H.-H. Chang, L.-S. Lin, N. Chen, and W.-J. Lee, "Particle-swarmoptimization- based nonintrusive demand monitoring and load identification in smart meters, " IEEE Trans. Ind. Appl., vol. 49, no. 5, pp. 2229-2236, Sep./Oct. 2013.
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A non-intrusive load monitoring system using an embedded system for applications to unbalanced residential distribution systems
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H.-H. Chang, P. W. Wiratha, and N. Chen, "A non-intrusive load monitoring system using an embedded system for applications to unbalanced residential distribution systems, " Energy Proc., vol. 61, pp. 146-150, 2014.
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Energy Proc
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Chang, H.-H.1
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Power-spectrumbased wavelet transform for non-intrusive demand monitoring and load identification
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A new measurement method for power signatures of nonintrusive demand monitoring and load identification
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79953778216
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Shanghai, China
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H.-H. Chang, C.-L. Lin, and J.-K. Lee, "Load identification in nonintrusive load monitoring using steady-state and turn-on transient energy algorithms, " presented at the Int. Conf. Comput. Supported Cooperative Work Design, Shanghai, China, 2010, pp. 27-32.
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Presented at the Int. Conf. Comput. Supported Cooperative Work Design
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Chang, H.-H.1
Lin, C.-L.2
Lee, J.-K.3
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42
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Aachen, Germany
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Presented at the IEEE Int. Workshop Appl. Measur. Power Syst
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Chen, K.-L.1
Chang, H.-H.2
Chen, N.3
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Long Beach, CA, USA
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C. Lakshminarayan, C. Gupta, S. Wang, and A. Mehta, "Non-dyadic Haar wavelets for streaming and sensor data, " in Proc. 26th Int. Conf. Data Eng. (ICDE), Long Beach, CA, USA, 2010, pp. 569-580.
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Presented at the Asia Pac. Signal Inf. Process. Assoc. Annu. Summit Conf
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Chiang, J.T.1
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Auckland, New Zealand
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Presented at the POWERCON
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Chou, P.-A.1
Chuang, C.-C.2
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Unsupervised adaptive non-intrusive load monitoring system
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Manchester, U.K.
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Presented at the IEEE Int. Conf. Syst. Man Cybern
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presented at the IEEE Int. Conf. Int. Syst., Sofia, Bulgaria
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A. Zoha, A. Gluhak, M. Nati, M. Ali Imran, and S. Rajasegarar, "Acoustic and device feature fusion for load recognition, " presented at the IEEE Int. Conf. Int. Syst., Sofia, Bulgaria, 2012, pp. 386-392.
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(2012)
Acoustic and Device Feature Fusion for Load Recognition
, pp. 386-392
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Zoha, A.1
Gluhak, A.2
Nati, M.3
Ali Imran, M.4
Rajasegarar, S.5
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