Open Access
Issue
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
Article Number 02019
Number of page(s) 7
Section Session 1. Towards Intelligent Energy Systems
DOI https://doi.org/10.1051/e3sconf/202020902019
Published online 23 November 2020
  1. Systemic research in the energy sector: Retrospective of scientific directions SEI – ISEM / resp. ed. N.I. Voropay. Novosibirsk: Nauka, 2010 . – 686 p. (in Russian). [Google Scholar]
  2. Voropai N.I., Klеr A.M., Kononov Yu.D., Saneev B.G., Senderov S.M., Stennikov V.A. Methodological foundations of strategic planning for the development of energy // Energy Policy, issue 3, 2018. – Pp. 35-44 (in Russian). [Google Scholar]
  3. Massel L.V. Methods and intelligent technologies for the scientific justification of strategic decisions on the digital transformation of energy // Energy Policy. 2018. № 5. Pp. 30-42. (in Russian) [Google Scholar]
  4. Kokorev D.S., Yurin A.A. Cifrovye dvojniki: ponjatie, tipy i preimushhestva dlja biznesa. [Digital twins: concept, types and benefits for business]. Colloquium-journal / Technical science. No. 10 (34). 2019. Pp. 31-35. DOI: 10.24411/2520-6990-2019-10264 (in Russian) [Google Scholar]
  5. Tolstykh T.O., Gamidullaeva L.A., Shkarupeta E.V. Key factors for the development of industrial enterprises in the context of digital production and Industry 4.0 // Economics in Industry. 2018. T. 11. № 1. Pp. 11-19 (in Russian) [Google Scholar]
  6. Bolton R. N. et al. Customer experience challenges: bringing together digital, physical and social realms // Journal of Service Management. 2018. Т. 29. №. 5. Pp. 776-808. [CrossRef] [Google Scholar]
  7. El Saddik A. Digital twins: the convergence of multimedia technologies // IEEE MultiMedia. 2018. Т. 25. №. 2. Pp. 87-92. [CrossRef] [Google Scholar]
  8. Glaessgen E., Stargel D. The digital twin paradigm for future NASA and US Air Force vehicles // 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA. 2012. Pp. 1818. [Google Scholar]
  9. Lee J., Bagheri B., Kao H. A. A cyber-physical systems architecture for industry 4.0-based manufacturing systems //Manufacturing letters. 2015. Т. 3. Pp. 18-23. [Google Scholar]
  10. Michael W. Grieves Digital Twin: Manufacturing Excellence through Virtual Factory Replication – LLC. 2014. 7 p. [Google Scholar]
  11. Rosen R., Wichert G., Lo G., Bettenhausen K. About The Importance of Autonomy and Digital Twins for the Future of Manufacturing. IFAC-PapersOnLine. 2015. Pp. 567-572. [Google Scholar]
  12. Qia Q., Taoa F., Zuoa Y., Zhaob D. Digital twin service towards smart manufacturing // Procedia CIRP. 2018. Vol. 72. Pp. 237–242. [Google Scholar]
  13. Tao F. et al. Digital twin-driven product de-sign framework // International Journal of Production Research. 2018. Pp. 1-19. [Google Scholar]
  14. Söderberg R. et al. Toward a Digital Twin for real-time geometry assurance in individualized production //CIRP Annals. 2017. Т. 66. №. 1. Pp. 137-140. [CrossRef] [Google Scholar]
  15. Nikitina E. Caught in the network: how digital doubles work in the electric power industry. Available at: https://pro.rbc.ru/news/5db1b59a9a79474bb142a3fe (accessed 11.24.2019) (in Russian) [Google Scholar]
  16. Borovkov A. Digital twins and digital shadows in the high-tech industry. Available at: https://4science.ru/articles/Cifrovie-dvoiniki-i-cifrovie-teni-v-visokotehnologichnoi-promishlennosti (accessed 11.24.2019) (in Russian) [Google Scholar]
  17. Andryushkevich S.K., Kovalev S.P., Nefedov E. Approaches to the development and use of digital twins of energy systems] // Cifrovaja podstancija. = Digital substation. № 12. 2019. Pp. 38-43. (in Russian) [Google Scholar]
  18. Andryushkevich S.K., Kovalyov S.P., Nefedov E. Composition and application of power system digital twins based on ontological modeling // Proc. 17th IEEE Intl. Conf. on Industrial Informatics INDIN’19. Helsinki-Espoo, Finland: IEEE. 2019. Pp. 1–6. [Google Scholar]
  19. Kopaygorodsky A.N. Knowledge management in collective expert activity on the substantiation of recommended solutions in the energy sector // Trudy Proceedings of the XX Russian Scientific Conference “Enterprise Engineering and Knowledge Management”. 2017. Moscow. REU named G.V. Plekhanov. Pp. 128-135. (in Russian) [Google Scholar]
  20. Massel L.V., Massel A.G. Language for describing and managing knowledge in an intelligent system of semiotic type // Proceedings of the XX Baikal All-Russian Conference ―Information and mathematical technologies in science and management‖. T. 3. Irkutsk. ESI SB RAS. 2015. Pp. 112 - 124. (in Russian) [Google Scholar]
  21. Massel L.V., Massel A.G. Intelligent computing in studies of energy development directions // News of Tomsk Polytechnic University. 2012. V. 321. №5. Management, computer engineering and computer science. Pp. 135-141. (in Russian) [Google Scholar]

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