Open Access
E3S Web Conf.
Volume 289, 2021
International Conference of Young Scientists “Energy Systems Research 2021”
Article Number 07013
Number of page(s) 5
Section Power Engineering
Published online 13 July 2021
  1. Abdullaev D.A. Operational processing of measurement information in automated control systems. Tashkent, Sub, 1985, 128 p. [Google Scholar]
  2. Venikov V.A., Venikov G.V. The theory of similarity and modeling (in relation to the problems of the electric power industry). M.: Higher school, 1984, 439 pp. [Google Scholar]
  3. Nikiforov G.V., Oleinikov V.K., Zaslavets B.I. Energy saving and energy management in metallurgical production. M.: Energoatomizdat, 2003 .-480 p. [Google Scholar]
  4. Novikov SS Methods of operational planning and control of power consumption of large-capacity electric steel-smelting furnaces when operating on the wholesale electricity market: Avtorefer. dis Cand. those. sciences. M., 2008.-18 p. [Google Scholar]
  5. Resolution of the Cabinet of Ministers of the Republic measures to improve the procedure for the use of electrical energy and natural gas.” [Google Scholar]
  6. Bazara M., Shetty K. Nonlinear programming. Theory and algorithms. Moscow: Publishing house: “Mir”, 1982. 583 p. [Google Scholar]
  7. Struchenkov V.I. Optimization methods in applied problems. Moscow: Publishing house: “SOLON-PRESS”, 2009. 320 p. [Google Scholar]
  8. Bertsekas D. Conditional optimization and methods of Lagrange multipliers. Moscow: Publishing house: “Radio and communication”, 1987. 400 p. [Google Scholar]
  9. F.A. Hoshimov, I.I. Bakhadirov, M.S. Kurbanbayeva, N.A. Aytbayev. Development of specific standards of energy consumption by types of produced products of the spinning product // RSES 2020. E3S Web of Conferences. 216 (2020) 01169. [CrossRef] [Google Scholar]
  10. F.A. Hoshimov, I.I. Bakhadirov, A.A. Alimov, M.T. Erejepov. Forecasting the electric consumption of objects using artificial neural networks // E3S Web of Conferences. 216 (2020) 01170. [CrossRef] [EDP Sciences] [Google Scholar]
  11. R. Karimov. Study of the state of the issue of increasing the quality of electric energy in the power supply systems // RSES 2020. E3S Web of Conferences. 216 (2020) 01163. [CrossRef] [EDP Sciences] [Google Scholar]
  12. Usmanov E.G. Stability in a parallel resonant circuit with active load // RSES 2020. E3S Web of Conferences. 216 (2020) 01160. [CrossRef] [Google Scholar]
  13. Usmanov E.G., Khusanov B.M. Phase relations in resonant circuits with a wide falling section on the amplitude characteristic // RSES 2020. E3S Web of Conferences. 216 (2020) 01161. [CrossRef] [Google Scholar]
  14. I.U. Rakhmonov, K.M. Reymov and S.H. Dustova. Improvements in industrial energy rationing methods // MIP: Engineering-2020. E3S Web of Conferences. 862 (2020) 062070. doi:10.1088/1757-899X/862/6/062070 [Google Scholar]
  15. A. Taslimov, F. Rakhimov, L. Nematov, N. Markaev, A. Bijanov, R. Yunusov. Economic load intervals for selecting 10 kV cable cross-sections for agricultural consumers // CONMECHYDRO – 2020. IOP Conf. Series: Materials Science and Engineering. 883 (2020) 012102. doi:10.1088/1757-899X/883/1/012102 [Google Scholar]
  16. A. Taslimov, M. Melikuziev, O. Matchonov, M. Ruzinazarov and M. Nasirov. Development of standard cable cross-sections of rural electrical networks // CONMECHYDRO – 2020. IOP Conf. Series: Materials Science and Engineering. 883 (2020) 012105. doi:10.1088/1757-899X/883/1/012105 [Google Scholar]
  17. I. Bakhadirov, N. Markaev, G. Aslanova, R. Tanatarov, S. Makhmuthonov. Differentiated tariffs of electricity for the improvement of steelmaking Uzbekistan // CONMECHYDRO – 2020. IOP Conf. Series: Materials Science and Engineering. 883 (2020) 012121. doi:10.1088/1757-899X/883/1/012121 [Google Scholar]
  18. A.D. Taslimov, A.S. Berdishev, F.M. Rakhimov and A.A. Yuldashev. Optimal tendency of selecting cable crosssections for agricultural electrical networks // ICMSIT-2020. Journal of Physics: Conference Series. 1515 (2020) 022056. doi:10.1088/1742-6596/1515/2/022056 [CrossRef] [Google Scholar]
  19. Abduraxim Berdishev, Abdurakhim Taslimov, Bakhtiyor Melikuziev and Alibi Bijanov. Reliability indicators of 10 kV cable lines in rural areas // FORM-2020. IOP Conf. Series: Materials Science and Engineering. 869 (2020) 011001. doi:10.1088/1757-899X/869/1/011001 [Google Scholar]
  20. A.D. Taslimov. Selection of a complex of parameters of distribution electric networks with respect to technical limitations // ENERGY-21. E3S Web of Conferences. 209 (2020) 07013. [CrossRef] [Google Scholar]
  21. A.D. Taslimov, F.M. Rakhimov, A.O. Norkulov, A.A. Yuldashev. Research of the optimum scale of standard sections of agricultural purpose lines // E3S Web of Conferences. 216 (2020) 01158. [CrossRef] [EDP Sciences] [Google Scholar]
  22. A.D. Taslimov., M.V. Melikuziev, A.M. Najimova, A.A. Alimov. Economic load intervals for selection of cable sections for agricultural purpose // E3S Web of Conferences. 216 (2020) 01159. [CrossRef] [EDP Sciences] [Google Scholar]
  23. Olimjon Toirov, Tulyagan Kamalov, Utkir Mirkhonov, Sardor Urokov, Dilnoza Jumaeva The mathematical model and a block diagram of a synchronous motor compressor unit with a system of automatic control of the excitation, E3S Web of Conferences, SUSE-2021 (2021) [Google Scholar]
  24. Olimjon Toirov, Kamoliddin Alimkhodjaev, Akhror Pardaboev Analysis and ways of reducing electricity losses in the electric power systems of industrial enterprises, E3S Web of Conferences, SUSE-2021 (2021) [Google Scholar]
  25. A.N. Rasulov, M.R. Ruzinazarov, N. Toirova, T.Sh. Alibekova. Graphical-analytical method for constructing load characteristics // RSES 2020. E3S Web of Conferences. 216 (2020) 01171. [CrossRef] [Google Scholar]
  26. Yu. Bobozhonov, B. Seytmuratov, B. Fayzullaev, A. Sultonov. Study of the influence of different designs of massive rotor of asynchronous generator on their maximum power // RSES 2020. E3S Web of Conferences. 216 (2020) 01177. [CrossRef] [Google Scholar]
  27. E. Usmanov, A. Rasulov, M.K. Bobojanov, R.Ch. Karimov. Non-contact voltage relay for switching windings of a boost transformer (E3S Web of Conferences, 139, 01079, 2019), [CrossRef] [EDP Sciences] [Google Scholar]
  28. Karimov R.Ch., Bobojanov M.K., Rasulov A.N., Usmanov E.G. Controlled switching circuits based on nonlinear resistive elements (E3S Web of Conferences, 139, 01039, 2019), [CrossRef] [EDP Sciences] [Google Scholar]
  29. Toshniyozov L.G., Toshov J.B. Theoretical and experimental research into process of packing in drilling. MIAB. Mining Inf. Anal. Bull. 2019;(11):139-151. [In Russ]. DOI: 10.25018/0236-1493-2019-11-0-139-151. [Google Scholar]
  30. Toshov J.B. The questions of the dynamics of drilling bit on the surface of well bottom// Arch. Min. Sci. Poland. Vol. 61 (2016), № 2, P. 279-287. DOI 10.1515/amsc-20160020 [Google Scholar]
  31. Toshov Zh.B. Ways towards optimization of washout components of rock cutting tools // «sGORNYI ZHURNAL»/«MINING JOURNAL», Moscow, 2016, № 2, pp. 21–24. DOI: [Google Scholar]
  32. I.U. Rakhmonov, K.M. Reymov. Statistical models of renewable energy intermittency // RSES 2020. E3S Web of Conferences. 216 (2020) 01167. [CrossRef] [EDP Sciences] [Google Scholar]
  33. I.U. Rakhmonov, N.N. Kurbonov. Analysis of automated software for monitoring energy consumption and efficiency of industrial enterprises // E3S Web of Conferences. 216 (2020) 01178. [CrossRef] [EDP Sciences] [Google Scholar]
  34. F.A. Hoshimov, I.U. Rakhmonov, N.N. Niyozov. Technology to reduce energy costs in the electric steel melting shop // ENERGY-21. E3S Web of Conferences. 209 (2020) 07017. [CrossRef] [EDP Sciences] [Google Scholar]
  35. I.U. Rakhmonov, F.A. Hoshimov. Development of an algorithm for evaluating the dominant factors that have the greatest impact on the energy intensity of products // ENERGY-21. E3S Web of Conferences. 209 (2020) 07018. [CrossRef] [EDP Sciences] [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.