Open Access
Issue
E3S Web Conf.
Volume 288, 2021
International Symposium “Sustainable Energy and Power Engineering 2021” (SUSE-2021)
Article Number 01052
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202128801052
Published online 14 July 2021
  1. E. Lisin, G. Kurdiukova, N. Ketoeva, J. Katina, Sustainability issues of territorial power systems in market conditions, Entrepreneurship and sustainability issues, 6 (2), 1041–1052 (2018) [Google Scholar]
  2. M.E. Bildirici, T. Bakirtas, The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries, Energy, 65, 134–144 (2014) [Google Scholar]
  3. P.K. Narayan, S. Popp, The energy consumption-real GDP nexus revisited: Empirical evidence from 93 countries, Economic Modelling, 29 (2), 303–308 (2012) [Google Scholar]
  4. E. Lisin, W. Strielkowski, V. Chernova, A. Fomina, Assessment of the territorial energy security in the context of energy systems integration. Energies, 11(12), 3284 (2018) [Google Scholar]
  5. A.N. Alekseev, A.V. Bogoviz, L.P. Goncharenko, S.A. Sybachin, A critical review of Russia’s energy strategy in the period until 2035, International Journal of Energy Economics and Policy, 9 (6), 95–102 (2019) [Google Scholar]
  6. S.V. Ratner, P. Ratner, Regional energy efficiency programs in Russia: The factors of success, Region, 3 (1), 71–87 (2016) [Google Scholar]
  7. V. Zybatov, Strategic planning of energy-efficient development of a region of the Russian federation, Economy of region, 1 (3), 941–954 (2018) [Google Scholar]
  8. A.A. Makarov, T.A. Mitrova, Strategic development outlook for the energy complex of Russia, Studies on Russian Economic Development, 29 (5), 514–526 (2018) [Google Scholar]
  9. G.R. Khasaev, V.A. Tsybatov, Energy-Efficient and Energy-Safe Development of the Constituent Entities of the Russian Federation: Restrictions and Prospects, In Institute of Scientific Communications Conference (Springer, Cham, 714–727, 2019) [Google Scholar]
  10. Russian Statistical Yearbook 2018 (Rosstat, Moscow, Russia, 694, 2018) [Google Scholar]
  11. D. Azhgaliyeva, Y. Liu, B. Liddle, An empirical analysis of energy intensity and the role of policy instruments, Energy Policy, 145, 111773 (2020) [Google Scholar]
  12. F.L. Liu, B.W. Ang, Eight methods for decomposing the aggregate energy-intensity of industry, Applied Energy, 76 (1-3), 15–23 (2003) [Google Scholar]
  13. S. Voigt, E. De Cian, M. Schymura, E. Verdolini, Energy intensity developments in 40 major economies: structural change or technology improvement?, Energy Economics, 41, 47–62 (2014) [Google Scholar]
  14. L.Y. Bogachkova, S.G. Khurshudyan, Quantitative analysis of energy efficiency indices in the regions of the Russian Federation as exemplified by energy consumption, International Journal of Energy Economics and Policy, 5 (4), 1033–1041 (2015) [Google Scholar]
  15. Regions of Russia, Socio-economic indicators 2017, Statistical collection (Rosstat, Moscow, Russia, 1404, 2017) [Google Scholar]
  16. V.N. Volkova, V.N. Kozlov, V.E. Mager, L.V. Chernenkaya, Classification of methods and models in system analysis, In 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM), IEEE, 183–186 (2017) [Google Scholar]
  17. G.A. Susto, A. Cenedese, M. Terzi, Time-series classification methods: Review and applications to power systems data, Big data application in power systems, 179–220 (2018) [Google Scholar]
  18. M. Roux, Comparative study of divisive and agglomerative hierarchical clustering algorithms, Journal of Classification, 35 (2), 345–366 (2018) [Google Scholar]
  19. A. Triayudi, I. Fitri, Comparison of parameter-free agglomerative hierarchical clustering methods, ICIC Express Letters, 12 (10), 973–980 (2018) [Google Scholar]
  20. M. Reddy, V. Makara, R.U. Satish, Divisive Hierarchical Clustering with K-means and Agglomerative Hierarchical Clustering, International Journal of Computer Science and Technology (IJCST), 5 (5), 5–11 (2017) [Google Scholar]
  21. A. Borodkin, E. Lisin, W. Strielkowski, Data Algorithms for Processing and Analysis of Unstructured Text Documents, Applied Mathematical Sciences, 25, 1213–1222 (2014) [Google Scholar]

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