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Краткосрочный прогноз часового потребления электроэнергии с учетом погоды для субъектов РФ
Известия РАН. Энергетика. 2017. Т. 55. № 5. С. 47–56.
Gordin V. A., Bykov P. L.
The power consumption is determined by various factors. It is affected by time of day, day of week, and of season. The price of electricity is determined by the controller, and can affect the schedule of consumption of various consumers. And this formulae depends essentially on the concrete region. Forecast of consumption may influence both the tactics of consumers and producers of electricity and the strategy of the regulator. The impact will be stronger, when more reliable the forecast. One of the non-recurrent factors is the weather. We developed operational computer technology short-term forecasting of hourly electricity consumption for 63 subjects of the Russian Federation, using the short-term forecast of the air temperature. We evaluate the parameters of our algorithm according to information from archives, which describes electricity consumption and air temperature. The MAPE error obtained forecast the average for the subjects is 3.2% while the forecast for 1 day and 3.7% in the second. The impact of the weather forecast into the error decreasing corresponds to the reduction of the forecast lead-time of 1 day.
Research target:
Construction
Mechanics and Mechanical Engineering
Effective Natural Resource Management
Mathematics
Priority areas:
IT and mathematics
Language:
Russian
Denis Seliutskii, Russian Journal of Mathematical Physics 2025 Vol. 32 No. 2 P. 399–407
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Viacheslav K., Русский инженер 2024 № 3 С. 34–37
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control systems which take into account the force factors of interaction of the wheel propeller with the supporting surface. During
the analysis of methods dedicated to energy efficiency rise and were used techniques of logical and statistical analysis. There are
various ...
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Lebedev V., Journal of Mathematical Analysis and Applications 2026 Vol. 563 No. 2 Article 130787
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change of variable, i.e., a self-homeomorphism $h$ of $\mathbb T$, such that
the superposition $f\circ h$ is in the Sobolev space $W_2^{1/2}(\mathbb T)$.
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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Strimovskaya A., Китцман Х., Рюмкина К. А., Контроллинг 2024 № 3(93) С. 60–70
В статье дано обоснование значимости оценки эффективности транспортно-логистической деятельности на примере компании-экспортера жидких энергоресурсов России с учетом организации продаж, логистики, инновационной деятельности, а также достижения целей и задач устойчивого развития. Подробно рассмотрены ключевые особенности оценки эффективности, отмечены «узкие» места и возможные способы их оптимизации. Предложенный перечень показателей эффективности логистических операций, характерных для экспорта жидких энергоресурсов, ...
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A. S. Baybar, M. Yu. Puzachenko, R. B. Sandlersky, Geography and Natural Resources 2025 Vol. 46 No. S1 P. S15–S22
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Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
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Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
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We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025