Мохов Вениамин Геннадьевич

Публикации в базе данных Math-Net.Ru

1. Mathematical modelling economy
   
   Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 16:1 (2023),  5–22
2. Mathematical modeling and assessment of economic stability Scandiac Hotels
   
   J. Comp. Eng. Math., 9:4 (2022),  18–25
3. Construction of a mathematical model of JSC Chelyabinskgorgaz activities
   
   J. Comp. Eng. Math., 9:1 (2022),  3–9
4. Mathematical modelling and analysis of activities of PJSC “Fortum”
   
   Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 15:2 (2022),  111–117
5. Analysis of sustainable development LLC "Company RBT"
   
   J. Comp. Eng. Math., 8:2 (2021),  25–32
6. Making investment decisions in an industrial enterprise under uncertainty
   
   Вестн. Южно-Ур. ун-та. Сер. Матем. Мех. Физ., 13:4 (2021),  24–28
7. Mathematical modelling of industrial equipment operation based on Markov processes
   
   Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 14:2 (2021),  94–99
8. Modeling the profitability of loan operations corporate clients
   
   J. Comp. Eng. Math., 7:4 (2020),  26–34
9. Assessment the bankruptcy of sectorial companies: the practice of foreign and Russian models
   
   J. Comp. Eng. Math., 7:3 (2020),  3–10
10. Research of the effects of convergence of economic policy in regional and interregional integration associations
    
    J. Comp. Eng. Math., 7:2 (2020),  15–30
11. Investment attarctiveness of Russian energy business
    
    J. Comp. Eng. Math., 7:1 (2020),  24–31
12. 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
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 13:3 (2020),  80–85
13. 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
14. Research of default risk level of Russian energy
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 12:2 (2019),  166–171
15. Electrical energy consumption prediction of the federal district of Russia on the based of the reccurent neural network
    
    J. Comp. Eng. Math., 5:2 (2018),  3–15
16. Modelling of "green" investments risks
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 11:2 (2018),  154–159
17. Analysis of formalized methods for forecasting the volume of electricity consumption
    
    J. Comp. Eng. Math., 4:4 (2017),  3–14
18. Complex approach to assessment of investment attractiveness of power generating company
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 10:2 (2017),  150–154
19. 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
20. Modeling of enterprise innovation activity in terms of "Vysota 239" JSC "CPRP"
    
    J. Comp. Eng. Math., 3:1 (2016),  68–72
21. Modelling the innovation activity of an enterprise
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 9:2 (2016),  130–134
22. 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
23. Modelling of the time series digressions by the example of the UPS of the Ural
    
    Вестн. ЮУрГУ. Сер. Матем. моделирование и программирование, 8:4 (2015),  127–130