Open Access
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
Article Number 05033
Number of page(s) 5
Section Additional papers
Published online 10 February 2020
  1. P.A. Strizhak, M.N. Morozov, Mathematical modeling of the thermal regime of the building taking into account insolation heat gains, Izvestiya Tomskogo Politekhnicheskogo Universiteta. Inzhiniring georesursov, 8, 36–46 (2015) [Google Scholar]
  2. L.V. Davydenko, Formation of a system of indicators for benchmarking energy efficiency of municipal energy facilities, Problemy regional’noj energetiki, 1(27), 57–69 (2015) [Google Scholar]
  3. M.N. Il’ina, G.F. Il’ina, Organizational measures to improve energy efficiency on the example of oil-producing enterprises of the Tomsk region, Izvestiya Tomskogo Politekhnicheskogo Universiteta. Inzhiniring georesursov, 5, 91–98 (2018) [Google Scholar]
  4. V.I. Litvin, Rapid assessment of the effectiveness of the implementation of energy saving measures, Problemy regional’noj energetiki, 3(20), 85–90 (2018) [Google Scholar]
  5. Y.N. Zvonareva, Y.V. Van’kov, Energy saving in systems of heat supply of the large municipal unions powered from several sources of heat, Izvestiya Tomskogo Politekhnicheskogo Universiteta. Inzhiniring georesursov, 11, 75–82 (2015) [Google Scholar]
  6. D.I. Karabarin, S.A. Mihajlenko, Improving energy efficiency of energy production in decentralized energy areas, Izvestiya Tomskogo Politekhnicheskogo Universiteta. Inzhiniring georesursov, 10, 81–86 (2017) [Google Scholar]
  7. V.I. Potapov, A.S. Gricaj, D.A. Tyunkov, G.E. Sinicin, Use of a neural network to build a shortterm forecast of power consumption of Omsk power supply company LLC, Izvestiya Tomskogo Politekhnicheskogo Universiteta. Inzhiniring georesursov, 8, 44–51 (2016) [Google Scholar]
  8. V.S. Kazachkov, A.Y. Yaskin, Accounting of thermal energy at the enterprises of railway transport on the basis of AMR, Vestnik transporta povolzh’ya, 1(17), 28–33 (2009) [Google Scholar]
  9. F.R. Muhamedsharipov, Trends in the development of automated systems of commercial accounting of energy resources, Mir izmerenij, 10, 26–27 (2011) [Google Scholar]
  10. A. Larionov, Y. Larionova, L. Selivanova, Regional Peculiarities of Energy Saving Development During the Exploitation of Housing and Underground Housing and Utility Sector Objects, Procedia Engineering, 165, 1229–1232 (2016) [Google Scholar]
  11. L.A. Delegodina, Forecast of energy consumption in the AMR NSC artificial neural network, Problemy informatiki, 1(13), 66–72 (2012) [Google Scholar]
  12. M. Myakochina, The architecture of AMR system on the basis of the decisions of the company Milandr, Komponenty i tekhnologii, 5(166), 108–111 (2015) [Google Scholar]
  13. G.I. Vintin, AMR for the private sector, Energiya: ekonomika, tekhnika, ekologiya, 9, 74–79 (2011) [Google Scholar]
  14. S.I. Kirillov, O.G. Bershadskij, Theft of electricity as a problem in the energy system and measures to minimize it in modern Russia, Vestnik moskovskogo universiteta MVD Rossii, 2, 50–52 (2018) [Google Scholar]
  15. A.A. Chuhrov, Analysis of non-technical power loss detection methods, Sistemnyj analiz v nauke i obrazovanii, 4, 43–49 (2015) [Google Scholar]

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