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Volumn , Issue , 2009, Pages

Fast non-technical losses identification through Optimum-Path Forest

Author keywords

Non technical losses; Optimum path forest

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL BURDEN; ELECTRIC POWER COMPANY; ENERGY SYSTEMS; FOREST CLASSIFIERS; FRAUD DETECTION; NON-TECHNICAL LOSS; SUPERVISED PATTERN RECOGNITION;

EID: 76549090785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISAP.2009.5352910     Document Type: Conference Paper
Times cited : (26)

References (24)
  • 1
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    • Evaluation and effective management of nontechnical losses in electrical power networks
    • I. Davidson, "Evaluation and effective management of nontechnical losses in electrical power networks, " in Proceedings of the 6th IEEE Africon Conference in Africa, vol. 1, 2002, pp. 473-477.
    • (2002) Proceedings of the 6th IEEE Africon Conference in Africa , vol.1 , pp. 473-477
    • Davidson, I.1
  • 2
    • 49249135950 scopus 로고    scopus 로고
    • Power utility nontechnical loss analysis with extreme learning machine method
    • A. Nizar, Z. Dong, and Y. Wang, "Power utility nontechnical loss analysis with extreme learning machine method, " IEEE Transactions on Power Systems, vol. 23, pp. 946-955, 2008.
    • (2008) IEEE Transactions on Power Systems , vol.23 , pp. 946-955
    • Nizar, A.1    Dong, Z.2    Wang, Y.3
  • 10
    • 33745964657 scopus 로고    scopus 로고
    • Midas: Detection of non-technical losses in electrical consumption using neural networks and statistical techniques
    • Springer Berlin/Heidelberg: Lecture Notes in Computer Science
    • I. Monedero, F. Biscarri, C. Léon, J. Biscarri, and R. Milĺan, "Midas: Detection of non-technical losses in electrical consumption using neural networks and statistical techniques, " in Proceedings of the International Conference on Computational Science and Applications, vol. 3984. Springer Berlin/Heidelberg: Lecture Notes in Computer Science, 2006.
    • (2006) Proceedings of the International Conference on Computational Science and Applications , vol.3984
    • Monedero, I.1    Biscarri, F.2    Léon, C.3    Biscarri, J.4    Milĺan, R.5
  • 13
    • 63049100877 scopus 로고    scopus 로고
    • Detection of abnormalities and electricity theft using genetic support vector machines
    • J. Nagi, K. Yap, S. Tiong, S. Ahmed, and A. Mohammad, "Detection of abnormalities and electricity theft using genetic support vector machines, " in IEEE TENCON Region 10 Conference, 2008, pp. 1-6.
    • (2008) IEEE TENCON Region 10 Conference , pp. 1-6
    • Nagi, J.1    Yap, K.2    Tiong, S.3    Ahmed, S.4    Mohammad, A.5
  • 24


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.