Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrey I. Lukashov"'
Autor:
Andrey I. Lukashov
Publikováno v:
Финансовый журнал, Vol 16, Iss 4, Pp 41-60 (2024)
The article is devoted to the current organizational and functional model of state and municipal financial control. The author analyzes the powers of external and internal state and municipal financial control bodies and concludes that they are simil
Externí odkaz:
https://doaj.org/article/4184d93dbf8e4531a1232203f7ea1451
Improvement of Treasury Control Tools as a Measure to Increase the Efficiency of Budget Expenditures
Autor:
Andrey I. Lukashov
Publikováno v:
Финансовый журнал, Vol 15, Iss 5, Pp 45-60 (2023)
The article is devoted to the issues related to the need to improve the efficiency of budget funds. The author proposes to supplement the "classical" criteria of budget funds usage efficiency with the criterion of legality. The study summarizes and a
Externí odkaz:
https://doaj.org/article/4019f8def7a24b82bb7294def0386628
Autor:
Andrey I. Lukashov
Publikováno v:
Финансовый журнал, Vol 14, Iss No. 6, Pp 59-73 (2022)
The article deals with the organization and implementation of internal financial control and internal financial audit in the public administration sector. This issue is of particular relevance due to regularly taken decisions to restrict (moratorium)
Externí odkaz:
https://doaj.org/article/2743125ad47f4be3a17d12fdc8606fe9
Autor:
Andrey I. Lukashov
Publikováno v:
Финансовый журнал, Vol 13, Iss No. 3, Pp 67-75 (2021)
Building upon the practices of the Treasury of Russia as well as other federal executive agencies, this article presents a new approach aimed at improving the efficiency of public administration through the centralization of general management functi
Externí odkaz:
https://doaj.org/article/c497d124241b49618703f95c82ecb033
Autor:
Oleg Yu. Maryasin, Andrey I. Lukashov
Publikováno v:
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8122adb99e78e9056b2539dcfba8b2d2
https://doi.org/10.1109/icieam54945.2022.9787216
https://doi.org/10.1109/icieam54945.2022.9787216
Autor:
Oleg Yu. Maryasin, Andrey I. Lukashov
Publikováno v:
2021 International Ural Conference on Electrical Power Engineering (UralCon).
This paper dwells upon optimizing a daily energy consumption profile of an industrial building. The goal is to reduce energy costs by minimizing electricity consumption during peak load hours and optimizing the scheduling of building engineering syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eab20a2f02d198d62cd3de7b705101ed
https://doi.org/10.1109/uralcon52005.2021.9559530
https://doi.org/10.1109/uralcon52005.2021.9559530
Autor:
O. Yu. Maryasin, Andrey I. Lukashov
Publikováno v:
2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
The paper considers the problem of forecasting the peak load hours for an upcoming month using artificial neural networks. To forecast the peak load hours, an indirect method is used based on forecasting the total energy consumption in a region for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd89153c607dee99537fb204d7a5afb8
https://doi.org/10.1109/icieam51226.2021.9446369
https://doi.org/10.1109/icieam51226.2021.9446369
Autor:
Andrey I. Lukashov, Oleg Yu. Maryasin
Publikováno v:
2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA).
The paper deals with the challenge of creating a digital model of an electricity consumer using Deep Learning technologies. The key benefits of the digital model include the forecasts of energy consumption and market electricity prices, as well as th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a804c684de732b23afc47cda942d9af7
https://doi.org/10.1109/summa50634.2020.9280610
https://doi.org/10.1109/summa50634.2020.9280610
Autor:
Andrey I. Lukashov, Oleg Yu. Maryasin
Publikováno v:
2020 International Russian Automation Conference (RusAutoCon).
The paper considers the problem of forecasting hourly market electricity prices using the artificial neural networks. The existing publications are analyzed to determine the most popular methods of electricity prices forecasting, the types of neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8d6b6329f701b6ee6eceb627beb2ca
https://doi.org/10.1109/rusautocon49822.2020.9208035
https://doi.org/10.1109/rusautocon49822.2020.9208035