Search Results - "Khalyasmaa, Alexandra I."

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  1. 1

    GNSS-Based Narrow-Angle UV Camera Targeting: Case Study of a Low-Cost MAD Robot by Gyrichidi, Ntmitrii, Romanov, Alexey M, Trofimov, Oleg V, Eroshenko, Stanislav A, Matrenin, Pavel V, Khalyasmaa, Alexandra I

    Published in Sensors (Basel, Switzerland) (28-05-2024)
    “…One of the key challenges in Multi-Spectral Automatic Diagnostic (MAD) robot design is the precise targeting of narrow-angle cameras on a specific part of the…”
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    Journal Article
  2. 2

    Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises by Stepanova, Alina I., Khalyasmaa, Alexandra I., Matrenin, Pavel V., Eroshenko, Stanislav A.

    Published in Algorithms (01-10-2024)
    “…Currently, machine learning methods are widely applied in the power industry to solve various tasks, including short-term power consumption forecasting…”
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    Journal Article
  3. 3

    Review of Existing Tools for Software Implementation of Digital Twins in the Power Industry by Iumanova, Irina F., Matrenin, Pavel V., Khalyasmaa, Alexandra I.

    Published in Inventions (Basel) (01-10-2024)
    “…Digital twin technology is an important tool for the digitalization of the power industry. A digital twin is a concept that allows for the creation of virtual…”
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    Journal Article
  4. 4

    Solar Irradiance Forecasting with Natural Language Processing of Cloud Observations and Interpretation of Results with Modified Shapley Additive Explanations by Matrenin, Pavel V., Gamaley, Valeriy V., Khalyasmaa, Alexandra I., Stepanova, Alina I.

    Published in Algorithms (01-04-2024)
    “…Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar…”
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    Journal Article
  5. 5

    Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers by Smolyanov, Ivan, Shmakov, Evgeniy, Butusov, Denis, Khalyasmaa, Alexandra I.

    Published in Computation (01-05-2024)
    “…This review addresses the modeling approaches for heat transfer processes in oil-immersed transformer. Electromagnetic, thermal, and hydrodynamic thermal…”
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    Journal Article
  6. 6

    Fluid Dynamics Calculation in SF6 Circuit Breaker during Breaking as a Prerequisite for the Digital Twin Creation by Popovtsev, Vladislav V., Khalyasmaa, Alexandra I., Patrakov, Yurii V.

    Published in Axioms (01-07-2023)
    “…The requirements to switching the capacities of SF6 circuit breakers submitted by Russian Grid companies are difficult to satisfy. The first limitation is…”
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    Journal Article
  7. 7

    Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle Management by Khalyasmaa, Alexandra I., Stepanova, Alina I., Eroshenko, Stanislav A., Matrenin, Pavel V.

    Published in Mathematics (Basel) (01-03-2023)
    “…Digital twin is one of the emerging technologies for the digital transformation of the power industry. Many existing studies claim that the widespread…”
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    Journal Article
  8. 8

    Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning by Khalyasmaa, Alexandra I., Eroshenko, Stanislav A., Tashchilin, Valeriy A., Ramachandran, Hariprakash, Piepur Chakravarthi, Teja, Butusov, Denis N.

    Published in Remote sensing (Basel, Switzerland) (01-10-2020)
    “…This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on…”
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    Journal Article
  9. 9

    Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning Stage by Bramm, Andrey M., Eroshenko, Stanislav A., Khalyasmaa, Alexandra I., Matrenin, Pavel V.

    Published in Mathematics (Basel) (01-06-2023)
    “…At the current stage of the integration of renewable energy sources into the power systems of many countries, requirements for compliance with established…”
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    Journal Article
  10. 10

    Advanced Algorithms in Automatic Generation Control of Hydroelectric Power Plants by Kazantsev, Yury V., Glazyrin, Gleb V., Khalyasmaa, Alexandra I., Shayk, Sergey M., Kuparev, Mihail A.

    Published in Mathematics (Basel) (01-12-2022)
    “…The problem of load distribution between hydraulic units at hydropower plants is a difficult task due to the nonlinearity of hydro turbine characteristics and…”
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    Journal Article
  11. 11

    Data Mining Applied to Decision Support Systems for Power Transformers’ Health Diagnostics by Khalyasmaa, Alexandra I., Matrenin, Pavel V., Eroshenko, Stanislav A., Manusov, Vadim Z., Bramm, Andrey M., Romanov, Alexey M.

    Published in Mathematics (Basel) (01-07-2022)
    “…This manuscript addresses the problem of technical state assessment of power transformers based on data preprocessing and machine learning. The initial dataset…”
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    Journal Article
  12. 12

    The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation by Eroshenko, Stanislav A., Khalyasmaa, Alexandra I., Snegirev, Denis A., Dubailova, Valeria V., Romanov, Alexey M., Butusov, Denis N.

    Published in Applied sciences (01-11-2020)
    “…The paper reports the forecasting model for multiple time-domain photovoltaic power plants, developed in response to the necessity of bad weather days’…”
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    Journal Article
  13. 13

    Analysis of the State of High-Voltage Current Transformers Based on Gradient Boosting on Decision Trees by Khalyasmaa, Alexandra I., Senyuk, Mihail D., Eroshenko, Stanislav A.

    Published in IEEE transactions on power delivery (01-08-2021)
    “…This paper addresses the problem of instrument current transformers technical state assessment based on machine learning methods. The introductory parts of the…”
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    Journal Article
  14. 14

    High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods by Khalyasmaa, Alexandra I., Senyuk, Mihail D., Eroshenko, Stanislav A.

    Published in IEEE transactions on power delivery (01-08-2019)
    “…This paper is devoted to improving the assessment of the technical state (health index) of power circuit breakers through the use of machine learning, which…”
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    Journal Article
  15. 15

    Methodology for Analysing the Technical State and Residual Life of Overhead Transmission Lines by Khalyasmaa, Alexandra I., Uteuliyev, Bauyrzhan A., Tselebrovskii, Yurii V.

    Published in IEEE transactions on power delivery (01-10-2021)
    “…The paper presents an industry-validated technique for analysing the technical state of overhead power transmission lines and forecasting their residual life…”
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    Journal Article
  16. 16

    Automated mission planning for aerial large‐scale power plant thermal inspection by Romanov, Alexey M., Gyrichidi, Ntmitrii, Volkova, Maria A., Eroshenko, Stanislav A., Matrenin, Pavel V., Khalyasmaa, Alexandra I.

    Published in Journal of field robotics (01-08-2024)
    “…Close‐range aerial inspection of large‐scale industrial facilities such as power plants is complex. It is characterized by a few areas suitable for safe…”
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    Journal Article
  17. 17

    Improving Accuracy and Generalization Performance of Small-Size Recurrent Neural Networks Applied to Short-Term Load Forecasting by Matrenin, Pavel V., Manusov, Vadim Z., Khalyasmaa, Alexandra I., Antonenkov, Dmitry V., Eroshenko, Stanislav A., Butusov, Denis N.

    Published in Mathematics (Basel) (01-12-2020)
    “…The load forecasting of a coal mining enterprise is a complicated problem due to the irregular technological process of mining. It is necessary to apply models…”
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    Journal Article
  18. 18

    Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry by Mironenko, Yaroslav V., Khalyasmaa, Alexandra I.

    “…Electrically driven compressor units are one of the key elements in the processing equipment of oil and gas fabrication facilities. Today, due to the…”
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    Conference Proceeding
  19. 19

    Maintenance Optimization Within the Lifecycle Management of the Gas Compressor's Electric Motors by Mironenko, Yaroslav V., Khalyasmaa, Alexandra I.

    “…As a part of the paper, the issue of optimizing repairs and maintenance of electrically driven gas pumping units are considered. The existing approach to the…”
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    Conference Proceeding
  20. 20

    An Algorithm for FPGA-based Segmentation of Binary Images by Romanov, Alexey M., Vasiliev, Anton V., Khalyasmaa, Alexandra I.

    “…This paper proposes a new single-scan algorithm for segmenting the independent regions from binary images, evaluating their boundaries, and coordinates of…”
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    Conference Proceeding