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Volumn , Issue , 2011, Pages 38-42

Literature review of power disaggregation

Author keywords

[No Author keywords available]

Indexed keywords

DISAGGREGATION; LITERATURE REVIEWS; LOAD MONITORING; NONINTRUSIVE LOAD MONITORING;

EID: 80052086032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (20)
  • 1
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    • Hart, G.W.1
  • 2
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    • Nonintrusive monitoring of electrical loads
    • S. Drenker and A. Kader, "Nonintrusive monitoring of electricalloads, " IEEE Computer Applications in Power, vol. 12, Issue 3, 1999, pp. 47-51.
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    • Drenker, S.1    Kader, A.2
  • 3
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    • Nonintrusive load disaggregation computer program to estimate the energy consumption of major enduses in residential buildings
    • M. L. Marceau, R. Zmeureanu, "Nonintrusive load disaggregationcomputer program to estimate the energy consumption of major enduses in residential buildings", Energy Conversion & Management 41(2000) 1389-1403.
    • (2000) Energy Conversion & Management , vol.41 , pp. 1389-1403
    • Marceau, M.L.1    Zmeureanu, R.2
  • 7
    • 62649137783 scopus 로고    scopus 로고
    • Training load monitoring algorithms on highly sub-metered home electricity consumption data
    • October
    • Mario Berges, Ethan Goldman, H. Scott Matthews, Lucio Soibelman, "Training Load Monitoring Algorithms on Highly Sub-Metered HomeElectricity Consumption Data", TSINGHUA SCIENCE ANDTECHNOLOGY ISSN 1007-0214 65/67 pp406-411 Volume 13, Number S1, October 2008.
    • (2008) Tsinghua Science and Technology ISSN 1007-0214 65/67 , vol.13 , Issue.S1 , pp. 406-411
    • Berges, M.1    Goldman, E.2    Matthews, H.S.3    Soibelman, L.4
  • 10
    • 58349119360 scopus 로고    scopus 로고
    • Load identification in neural networks for a non-intrusive monitoring ofindustrial electrical loads
    • Hsueh-Hsien Chang, Hong-Tzer Yang, and Ching-Lung Lin, "LoadIdentification in Neural Networks for a Non-intrusive Monitoring ofIndustrial Electrical Loads", CSCWD 2007, LNCS 5236, pp. 664-674, 2008
    • (2008) CSCWD 2007, LNCS , vol.5236 , pp. 664-674
    • Chang, H.-H.1    Yang, H.-T.2    Lin, C.-L.3
  • 11
    • 77957341452 scopus 로고    scopus 로고
    • PSO and ANN-based fault classification for protective relaying
    • J. Upendar, C. P. Gupta, G. K. Singh, G. Ramakrishna, "PSO andANN-based fault classification for protective relaying", IET Gener. Transm. Distrib. 2010, Vol. 4, Iss. 10, pp. 1197-1212
    • (2010) IET Gener. Transm. Distrib. , vol.4 , Issue.10 , pp. 1197-1212
    • Upendar, J.1    Gupta, C.P.2    Singh, G.K.3    Ramakrishna, G.4
  • 12
    • 77957560698 scopus 로고    scopus 로고
    • Neuralnetwork based on adaptive resonance theory with continuous trainingfor multi-configuration transient stability analysis of electric powersystems
    • Sandra C. Marchiori, Maria do Carmo G. da Silveira, Anna Diva P. Lotufo, Carlos R. Minussi, Mara Lúcia Martins Lopes, "Neuralnetwork based on adaptive resonance theory with continuous trainingfor multi-configuration transient stability analysis of electric powersystems", Applied Soft Computing 11 (2011) 706-715
    • (2011) Applied Soft Computing , vol.11 , pp. 706-715
    • Marchiori, S.C.1    Da Silveira, M.D.C.G.2    Lotufo, A.D.P.3    Minussi, C.R.4    Lopes, M.L.M.5
  • 13
  • 14
    • 67650693053 scopus 로고    scopus 로고
    • Automatic liver parenchyma segmentation from abdominal CT images usingsupport vector machines, 9-11 April
    • Tempe, AZ, USA, paper 10071
    • Luo, S., Hu, Q., He, X., Li, J., Jin, S. J., Park, M., Automatic LiverParenchyma Segmentation from Abdominal CT Images UsingSupport Vector Machines, 9-11 April, 2009 IEEE/CME InternationalConference on Complex Medical Engineering, Tempe, AZ, USA, paper 10071, 2009.
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    • Luo, S.1    Hu, Q.2    He, X.3    Li, J.4    Jin, S.J.5    Park, M.6
  • 15
    • 79953198933 scopus 로고    scopus 로고
    • Nonintrusive appliance load monitoring: Review and outlook
    • Feb
    • M. Zeifman, Kurt Roth, "Nonintrusive Appliance Load Monitoring:Review and Outlook", IEEE Transactions on Consumer Electronics, Vol. 57, No. 1, Feb 2011
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    • Zeifman, M.1    Roth, K.2
  • 16
    • 11144352750 scopus 로고    scopus 로고
    • Kernel selection for the support vectormachine(biocybernetics, neurocomputing)
    • Debnath R, Takahashi, "Kernel selection for the support vectormachine(biocybernetics, neurocomputing)", IEICE Trans Inf Syst87(12):2903-2934)
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    • Takahashi, D.R.1
  • 17
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    • User's behavior study for smart houses occupant prediction
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    • (2010) Ann. Telecommun. , vol.65 , pp. 539-543
    • Kadouche, R.1    Chikhaoui, B.2    Abdulrazak, B.3
  • 18
    • 84871048750 scopus 로고    scopus 로고
    • Sensor data fusion for accurate cloud presence prediction using dempster-shafer evidence theory
    • J. Li, S Luo and J. S. Jin, "Sensor Data Fusion for Accurate CloudPresence Prediction Using Dempster-Shafer Evidence Theory", Sensors 2010, 10(10), pp. 9384-9396.
    • (2010) Sensors , vol.10 , Issue.10 , pp. 9384-9396
    • Li, J.1    Luo, S.2    Jin, J.S.3
  • 20
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    • Coordination of distributed energy resource agents
    • May
    • J. Li, G. Poulton and G. James, "Coordination of Distributed EnergyResource Agents", Journal of Applied Artificial Intelligence, Volume24, Issue 5, May 2010, pages 351-380.
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    • Li, J.1    Poulton, G.2    James, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.