Search Results - "Eroshenko, Stanislav"
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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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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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3
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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4
Spring Runoff Simulation of Snow-Dominant Catchment in Steppe Regions: A Comparison Study of Lumped Conceptual Models
Published in Inventions (Basel) (01-10-2024)“…This paper explores the application of conceptual hydrological models in optimizing the operation of hydroelectric power plants (HPPs) in steppe regions, a…”
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5
Are Modern Market-Available Multi-Rotor Drones Ready to Automatically Inspect Industrial Facilities?
Published in Drones (Basel) (01-10-2024)“…Industrial inspection is a well-known application area for unmanned aerial vehicles (UAVs), but are modern market-available drones fully suitable for…”
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6
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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7
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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Weather Condition Clustering for Improvement of Photovoltaic Power Plant Generation Forecasting Accuracy
Published in Algorithms (01-09-2024)“…Together with the growing interest towards renewable energy sources within the framework of different strategies of various countries, the number of solar…”
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9
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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10
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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11
Optimized Wavelet Transform for the Development of an Algorithm Designed for the Analysis of Digital Substation Electrical Equipment Parameters
Published in Inventions (Basel) (01-10-2024)“…This study emphasizes the urgent need for systems that monitor the operational states of primary electrical equipment, particularly power transformers. The…”
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12
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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13
Choice of Solutions in the Design of Complex Energy Systems Based on the Analysis of Variants with Interval Weights
Published in Mathematics (Basel) (01-04-2023)“…Ensuring high-quality and uninterrupted power supply to consumers is one of the main problems of creating reliable power systems of a new generation. It is…”
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14
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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15
Weather data errors analysis in solar power stations generation forecasting
Published in E3S web of conferences (01-01-2018)“…The paper presents a short-term forecasting model for solar power stations (SPS) generation developed by the authors. This model is based on weather data and…”
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16
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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17
Initial database creation for scientific and technical solutions efficiency assessment based on artificial intelligence approach
Published in ITM web of conferences (2019)“…This paper is devoted to the problems and features of database creation in intelligent systems for assessing the efficiency of scientific and technical…”
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Journal Article Conference Proceeding -
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Machine learning techniques for short-term solar power stations operational mode planning
Published in E3S web of conferences (01-01-2018)“…The paper presents the operational model of very-short term solar power stations (SPS) generation forecasting developed by the authors, based on weather…”
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19
Solar Power Plant Generation Short-Term Forecasting Model
Published in MATEC Web of Conferences (01-01-2018)“…Recently, renewable generation plays an increasingly important role in the energy balance. Solar energy is developing at a rapid pace, while the solar power…”
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Journal Article Conference Proceeding -
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Development of a simulation model of HPPs chain operation
Published in E3S web of conferences (01-01-2020)“…The paper presents a simulation model of a hydroelectric power plants chain. The model allows solving the problem of hydro power plants (HPPs) operation mode…”
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