Search Results - "Khalyasmaa, Alexandra I."
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GNSS-Based Narrow-Angle UV Camera Targeting: Case Study of a Low-Cost MAD Robot
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 -
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Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises
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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Review of Existing Tools for Software Implementation of Digital Twins in the Power Industry
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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Solar Irradiance Forecasting with Natural Language Processing of Cloud Observations and Interpretation of Results with Modified Shapley Additive Explanations
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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5
Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers
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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Fluid Dynamics Calculation in SF6 Circuit Breaker during Breaking as a Prerequisite for the Digital Twin Creation
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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Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle Management
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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Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning
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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Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning Stage
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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Advanced Algorithms in Automatic Generation Control of Hydroelectric Power Plants
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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11
Data Mining Applied to Decision Support Systems for Power Transformers’ Health Diagnostics
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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The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation
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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13
Analysis of the State of High-Voltage Current Transformers Based on Gradient Boosting on Decision Trees
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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14
High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods
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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15
Methodology for Analysing the Technical State and Residual Life of Overhead Transmission Lines
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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16
Automated mission planning for aerial large‐scale power plant thermal inspection
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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17
Improving Accuracy and Generalization Performance of Small-Size Recurrent Neural Networks Applied to Short-Term Load Forecasting
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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Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry
Published in 2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC) (25-09-2023)“…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 -
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Maintenance Optimization Within the Lifecycle Management of the Gas Compressor's Electric Motors
Published in 2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM) (29-06-2023)“…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 -
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An Algorithm for FPGA-based Segmentation of Binary Images
Published in 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (11-11-2022)“…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