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  <title>ЭБ Коллекция: Proceedings of the XIV International Conference, Minsk, September 24–27, 2025</title>
  <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/335958" />
  <subtitle>Proceedings of the XIV International Conference, Minsk, September 24–27, 2025</subtitle>
  <id>https://elib.bsu.by:443/handle/123456789/335958</id>
  <updated>2026-04-21T03:36:21Z</updated>
  <dc:date>2026-04-21T03:36:21Z</dc:date>
  <entry>
    <title>A statistical study of the spatial and temporal variability of temperature and wind fields</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/340009" />
    <author>
      <name>Beliauskene, E.</name>
    </author>
    <author>
      <name>Ustinova, I.</name>
    </author>
    <author>
      <name>Konstantinov, L.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/340009</id>
    <updated>2026-01-17T03:56:28Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: A statistical study of the spatial and temporal variability of temperature and wind fields
Авторы: Beliauskene, E.; Ustinova, I.; Konstantinov, L.
Аннотация: The study focuses on the analysis of long-term meteorological observation data obtained from a network of stations in Central Russia, aimed at identifying spatiotemporal patterns in the distribution of temperature and wind. The results may serve as a basis for improving methods of forecasting meteorological fields, as well as, for modeling and verification of atmospheric processes</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Short-term forecasting and nowcasting of real GDP using combined forecasts based on MIDAS regression models</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/340008" />
    <author>
      <name>Bazhanova, N. D.</name>
    </author>
    <author>
      <name>Malugin, V. I.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/340008</id>
    <updated>2026-01-17T03:56:12Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: Short-term forecasting and nowcasting of real GDP using combined forecasts based on MIDAS regression models
Авторы: Bazhanova, N. D.; Malugin, V. I.
Аннотация: A model with mixed data sampling MIDAS and combined forecasts based on them has been developed for short-term forecasting and naucasting of the real GDP growth rates of the Belarusian economy. A comparative analysis of the forecast accuracy for the constructed models indicates their effectiveness</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Assessment of the state of an AC overhead line by the relinearization method</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/340007" />
    <author>
      <name>Balametov, A. B.</name>
    </author>
    <author>
      <name>Isayeva, T. M.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/340007</id>
    <updated>2026-01-17T03:56:33Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: Assessment of the state of an AC overhead line by the relinearization method
Авторы: Balametov, A. B.; Isayeva, T. M.
Аннотация: Information about the current mode of the electric power system (EPS) is received by the dispatch control centers in the form of telemetry and tele-signals by the SCADA complexes, and from phasor measurement units (PMU) devices. Tele-measurements include information about the mode parameters, and the state of the switching equipment. Since the system of equation of state is nonlinear, the problem of state estimation is traditionally solved using iterative methods. This article presents the results of solving the state estimation problem using a method based on the Kipnis-Shamir re-linearization method, which allows solving it by non-iterative method. The results of the solution are given on the example of a power transmission line with 500 kV voltage</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The lightweight parts design processes improvement based on modeling structures with cylindrical cells</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/340004" />
    <author>
      <name>Zhalezka, B. A.</name>
    </author>
    <author>
      <name>Korolenok, K. S.</name>
    </author>
    <author>
      <name>Shamardzina, I. A.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/340004</id>
    <updated>2026-01-17T03:56:06Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: The lightweight parts design processes improvement based on modeling structures with cylindrical cells
Авторы: Zhalezka, B. A.; Korolenok, K. S.; Shamardzina, I. A.
Аннотация: The work is focused on studying methods and models that describe the patterns of design and production of lightweight parts. Additionally, it involves constructing a functional and structural model for the hardware implementation of graphical construction of parts and cells within them. One of the key challenges in manufacturing lightweight parts with a cellular structure is ensuring the required technical and operational properties. To address this issue, it is proposed to utilize the capabilities of engineering stress-strain state analysis of the resulting parts using SolidWorks API methods</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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