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Publications in Math-Net.Ru |
Citations |
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2025 |
| 1. |
T. S. Demyanenko, E. A. Komov, L. M. Semenenko, “Economic-mathematical modeling and instrumental methods
for improving efficiency of sports reserve training”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 27:3 (2025), 179–188   |
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2024 |
| 2. |
T. S. Demyanenko, L. M. Semenenko, “Building the trend component of an additive
mathematical model of planned electricity production
volume to improve energy efficiency”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 26:4 (2024), 71–82 |
| 3. |
T. S. Demyanenko, E. F. Surina-Maryisheva, L. M. Semenenko, A. O. Zarayskaya, “Application of the Maximum Likelihood Sampling mathematical model to reduce costs in psycho-functional diagnostics of athletes' conditions in youth sports”, J. Comp. Eng. Math., 11:3 (2024), 44–51 |
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2022 |
| 4. |
V. G. Mokhov, T. S. Demyanenko, L. S. Lapina, “Mathematical modeling and assessment of economic stability Scandiac Hotels”, J. Comp. Eng. Math., 9:4 (2022), 18–25 |
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2021 |
| 5. |
V. G. Mokhov, T. S. Demyanenko, R. S. Smirnov, “Analysis of sustainable development LLC "Company RBT"”, J. Comp. Eng. Math., 8:2 (2021), 25–32 |
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2020 |
| 6. |
V. G. Mokhov, T. S. Demyanenko, “A long-term forecasting model of electricity consumption volume on the example of UPS of the Ural with the help of harmonic analysis of a time series”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:3 (2020), 80–85 |
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2019 |
| 7. |
V. G. Mokhov, T. S. Demyanenko, “A method to control energy costs of electric energy subjects by the criterion of energy efficiency”, J. Comp. Eng. Math., 6:1 (2019), 48–54 |
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2017 |
| 8. |
V. G. Mokhov, T. S. Demyanenko, K. V. Demyanenko, “Analysis of formalized methods for forecasting the volume of electricity consumption”, J. Comp. Eng. Math., 4:4 (2017), 3–14 |
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| 9. |
T. S. Demyanenko, “Model of short-term forecast of electrical energy consumption of Ural United Power System by separating of a maximal similarity sample into the positive and negative levels”, J. Comp. Eng. Math., 4:3 (2017), 11–18 |
| 10. |
V. G. Mokhov, G. S. Chebotareva, T. S. Demyanenko, “Complex approach to assessment of investment attractiveness of power generating company”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 10:2 (2017), 150–154  |
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2016 |
| 11. |
V. G. Mokhov, T. S. Demyanenko, I. P. Ostanin, “Energy consumption modelling using neural networks of direct distribution on example of Russia united power system”, J. Comp. Eng. Math., 3:4 (2016), 73–78 |
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2015 |
| 12. |
V. G. Mokhov, T. S. Demyanenko, “Analysis of correlation between the energy demand and electricity rate and environment temperature at the competitive market of the Ural Grid Company of unified energy system”, J. Comp. Eng. Math., 2:4 (2015), 61–66 |
| 13. |
V. G. Mokhov, T. S. Demyanenko, “Modelling of the time series digressions by the example of the UPS of the Ural”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 8:4 (2015), 127–130 |
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2020 |
| 14. |
A. K. Tashchev, V. N. Smagin, G. A. Sviridyuk, S. A. Zagrebina, T. S. Demyanenko, “Veniamin Gennadievich Mokhov (on 70th birthday)”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:3 (2020), 112–115 |
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