Open Access
ITM Web Conf.
Volume 24, 2019
AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
Article Number 03001
Number of page(s) 5
Section Power Systems
Published online 01 February 2019
  1. PJSC “FGC UES”. Annual Report for 2016. URL: (Date of circulation: 13.10.2018). [Google Scholar]
  2. J. Vines, B. Banh, C. Stiegemeier, P. Patel, L. V. Cheim. Transformer health in the real world. URL: (Date of circulation: 13.10.2018). [Google Scholar]
  3. Energy Management Division. Article No. EMSG-B10006-00-7600. URL: (Date of circulation: 18.10.2018). [Google Scholar]
  4. ThermalSpection 724 system. URL: https:// malspection-724.html. (Date of circulation: 24.09.2018). [Google Scholar]
  5. System for estimation of electrotechnical equipment “diagnostics. URL: (Date of circulation: 24.09.2018). [Google Scholar]
  6. I.V. Davidenko, T. Kuzina, Analysis of the modern methods of the power transformers health index calculation. Proceedings of the 2017 IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017. Institute of Electrical and Electronics Engineers Inc., p. 1491–1495 5 p. 7910856. [Google Scholar]
  7. Aurélien Géron. Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems. Publisher: O’Reilly Media. 2017. 572 p. [Google Scholar]
  8. S.J. Russell, P. Norvig. Artificial Intelligence: A Modern Approach. Publisher: Pearson; 3 edition. Authors:. 2009. 1152 p. [Google Scholar]
  9. M. Mitchell. An introduction to genetic algorithms. Publisher: MIT Press. 1996. 221 p [Google Scholar]
  10. G. James, D. Witten, , T. Hastie, R. Tibshirani. An Introduction to Statistical Learning. Publisher: Springer-Verlag. 2013. 572 p. [Google Scholar]
  11. Khalyasmaa, A. Integral assessment of power network equipment operational risks: Special aspects. Lecture Notes in Electrical Engineering. 2019. p. 280–286 [CrossRef] [Google Scholar]

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