Open Access
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
Article Number 02002
Number of page(s) 9
Section Session 1. Towards Intelligent Energy Systems
Published online 23 November 2020
  1. B. Jiang, F. Zhang, J. Gao, and H. Zhao, ICPTT 2012, 453 (2012) [Google Scholar]
  2. Mike Urban. Modelling & GIS for water in the city [Electronic resource] (URL:; accessed: 21.04.2020) [Google Scholar]
  3. Lindell E. Ormsbee, Proceedings of WDSA 2006: Water Distribution System Analysis Symposium, 1 (University of Cincinnati, USA, 2006) [Google Scholar]
  4. M. Guidolin, P. Burovskiy, Z. Kapelan, and D. Savić, American Society of Civil Engineers, 1 (2010) [Google Scholar]
  5. Simone Software Simulation [Electronic resource] (URL:; accessed: 21.04.2020) [Google Scholar]
  6. DNV GL releases new version of Synergi Pipeline Simulator [Electronic resource] (URL:; accessed: 21.04.2020) [Google Scholar]
  7. ZuluHydro. Hydraulic calculations of water supply systems [Electronic resource] (URL:; accessed: 21.04.2020) [Google Scholar]
  8. IGS “CityCom-TeploGraph” [Electronic resource] (URL:; accessed: 21.04.2020) [Google Scholar]
  9. A.P. Merenkov, V.Y. Hasilev, Theory of hydraulic circuits (Nauka, Moscow, 1985) [in Russian] [Google Scholar]
  10. A.P. Merenkov, E.V. Sennova, S.V. Sumarokov, et al. Mathematical modelling and optimization of heat-, water-, oil-, gas supply systems (Science, Novosibirsk, 1992) [in Russian] [Google Scholar]
  11. Aaron Parrott, Lane Warshaw, Industry 4.0 and the digital twin technology [Electronic resource] (URL:, accessed: 26.07.2020) [Google Scholar]
  12. A.V. Alekseev, N.N. Novitsky, V.V. Tokarev, Z.I. Shalaginova, Methods of Exploration, control and optimization of Energy pipeline systems, 221 (Nauka, Novosibirsk, 2007) [in Russian] [Google Scholar]
  13. A.V. Alekseev, N.N. Novitsky, Scientific bulletin of NSTU, 2, 26 (2017) [in Russian] [Google Scholar]
  14. N.N. Novitsky, A.V. Alekseev, University News. Investments. Building. Realty, 8(4), 139 (2018) [Google Scholar]
  15. A.V. Alekseev, N.N. Novitsky, E.A. Mihajlovskij, Pipeline systems of Energy: Methodical and application problems of mathematical modelling, 418 (Nauka, Novosibirsk, 2015) [in Russian] [Google Scholar]
  16. N.N. Novitsky, A.V. Alekseev, O.A. Grebneva, A.V. Lutsenko, V.V. Tokarev, Z.I. Shalaginova, Energy, 184, 151 (2019) [CrossRef] [Google Scholar]
  17. V.V. Tokarev, Z.I. Shalaginova, Thermal Engineering, 63(1), 68 (2016) [CrossRef] [Google Scholar]
  18. N.N. Novitsky, V.V. Tokarev, Z.I. Shalaginova, A.V. Alekseev, O.A. Grebneva, S.Yu. Barinova, Bulletin of ISTU, 22(11), 126 (2018) [in Russian] [Google Scholar]
  19. A.V. Alexeev, N.N. Novitsky, Proceedings of ICRE-2018, 212, ID 6001 (Matec Web of Conferences, 2018) [Google Scholar]
  20. A.V. Alekseev, N.N. Novitsky, Proceedings of 2018 Conference of Mathematical models and methods of the analysis and optimal synthesis of the developing pipeline and hydraulic systems, 39, ID 04001 (E3S Web of Conferences, 2018) [Google Scholar]
  21. A. Alekseev and N. Novitsky, IOP Conference Series: Materials Science and Engineering, 667, ID 012003 (2019) [Google Scholar]
  22. C. Shen, M. Yun, A. Arora, H. Choi, A. Lecture Notes in Networks and Systems, 70, 634 (2020) [CrossRef] [Google Scholar]
  23. R. Siddavaatam, I. Woungang, S.K. Dhurandher, Advances in Intelligent Systems and Computing, 926, 713 (2020) [CrossRef] [Google Scholar]
  24. N.N. Novitsky, E.A. Mikhailovsky, Bulletin of ISTU, 7, 170 (2012) [in Russian] [Google Scholar]
  25. Egor M. Mikhailovsky, Nikolai N. Novitsky, St. Petersburg Polytechnical University Journal: Physics and Mathematics, 1, 120 (2015) [in Russian] [CrossRef] [Google Scholar]
  26. N.N. Novitsky, Z.I. Shalaginova, E.A. Mikhailovsky, Bulletin of ISTU, 21 (9), 1814 (2017) [in Russian] [Google Scholar]
  27. N.N. Novitsky, E.A. Mikhailovsky, , Water Supply and Sanitary Equipment, 12, 45 (2017) [in Russian] [Google Scholar]
  28. E.A. Mikhailovsky, Proc. Of Conference on Mathematical Models and Methods of the Analysis and Optimal Synthesis of the Developing Pipeline and Hydraulic Systems, ID 04002 (2018) [Google Scholar]
  29. E. Todini, Bollettino degli Ingegneri della Toscana, 11, 11 (1979) [Google Scholar]
  30. O. Giustolisi, L. Berardi, D. Laucelli, Journal of Hydroinformatics (IWA-IAHR, UK, 2011). [Google Scholar]
  31. G. Tsakiris, M. Spiliotis, European Journal of Environmental and Civil Engineering, 882 (2014) [Google Scholar]
  32. J. Krope, D. Dobersek, D. Goricanec. WSEAS / IASME International Conference on Fluid Mechanics, 59 (2006) [Google Scholar]
  33. N.I. Baranchikova, S.P. Epifanov, V.I. Zorkaltsev, Water and ecology. Problems and solutions, 2, 31 (2014) [in Russian] [Google Scholar]
  34. V. Ya. Khasilev, Izv. Academy of Sciences of the USSR. Energy and transport, 2, 231 (1964) [in Russian] [Google Scholar]
  35. N.N. Novitsky, Izv. Academy of Sciences. Energy, 6, 56 (2013) [in Russian] [Google Scholar]
  36. V.F. Irodov, A.N. Kazin, 16 Jogoslovenski kongres teorijske I primenjene mehanike. Becici, 3, 373 (1984) [Google Scholar]
  37. X. Lang, P. Li, Y. Li, H. Ren, Information, 8, 113 (2017) [CrossRef] [Google Scholar]
  38. D. Winkler, M. Haltmeier, M. Kleidorfer, W. Rauch, F. Tscheikner-Gratl, Structure and Infrastructure Engineering, 14 (10), 1402 (2018) [CrossRef] [Google Scholar]
  39. J.K. Ambrosio, B.M. Brentan, M. Herrera, E.Jr. Luvizotto, L. Ribeiro, J. Izquierdo, Mathematical Problems in Engineering, Article ID 9765468 (2019) [Google Scholar]
  40. Egor Mikhailovskii, IOP Conference Series: Materials Science and Engineering, 667, ID 012064 (2019) [Google Scholar]
  41. K.A. Nekrasov, S.I. Potashnikov, A.S. Boyarchenkov, A.Ya. Kupryagkin, Parallel Computing of General Purpose on GPUs: A Study Guide (Ural University Publishing House, Yekaterinburg, 2016) [in Russian] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.