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Browsing by Author Khalyasmaa, A. I.

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Issue DateTitleAuthor(s)
2022Advanced Algorithms in Automatic Generation Control of Hydroelectric Power PlantsKazantsev, Y. V.; Glazyrin, G. V.; Khalyasmaa, A. I.; Shayk, S. M.; Kuparev, M. A.
2017Alternative power supply systems for remote industrial customersKharlamova, N. V.; Khalyasmaa, A. I.; Eroshenko, S. A.
2024Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry EnterprisesStepanova, A. I.; Khalyasmaa, A. I.; Matrenin, P. V.; Eroshenko, S. A.
2024Assessment of Power Transformer Technical State Using Explainable Artificial IntelligenceKhalyasmaa, A. I.; Matrenin, P. V.; Eroshenko, S. A.
2022Data Mining Applied to Decision Support Systems for Power Transformers’ Health DiagnosticsKhalyasmaa, A. I.; Matrenin, P. V.; Eroshenko, S. A.; Manusov, V. Z.; Bramm, A. M.; Romanov, A. M.
2022Data Processing Technology for the Forecasting of the Water Inflow into a Reservoir with the Use of Earth Remote Sensing and the Network of Meteorological and Hydrological PostsEroshenko, S. A.; Matrenin, P. V.; Khalyasmaa, A. I.; Klimenko, D. E.; Sidorova, A. V.
2020Decision support system for quality management of cosmetic productsShabunina, O. V.; Khalyasmaa, A. I.; Korelina, E. V.
2020Digital twin technology as an instrument for increasing electrical equipment reliabilityKhalyasmaa, A. I.; Eroshenko, S. A.; Shatunova, D. V.; Larionova, A. A.; Egorov, A. O.
2023Fluid Dynamics Calculation in SF6 Circuit Breaker during Breaking as a Prerequisite for the Digital Twin CreationPopovtsev, V. V.; Khalyasmaa, A. I.; Patrakov, Y. V.
2014Fuzzy neural networks' application for substation integral state assessmentKhalyasmaa, A. I.; Dmitriev, S. A.; Kokin, S. E.; Eroshenko, S. A.
2024GNSS-Based Narrow-Angle UV Camera Targeting: Case Study of a Low-Cost MAD RobotGyrichidi, N.; Romanov, A. M.; Trofimov, O. V.; Eroshenko, S. A.; Matrenin, P. V.; Khalyasmaa, A. I.
2023Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning StageBramm, A. M.; Eroshenko, S. A.; Khalyasmaa, A. I.; Matrenin, P. V.
2020The impact of data filtration on the accuracy of multiple time-domain forecasting for photovoltaic power plants generationEroshenko, S. A.; Khalyasmaa, A. I.; Snegirev, D. A.; Dubailova, V. V.; Romanov, A. M.; Butusov, D. N.
2020Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecastingMatrenin, P. V.; Manusov, V. Z.; Khalyasmaa, A. I.; Antonenkov, D. V.; Eroshenko, S. A.; Butusov, D. N.
2023Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on k-Means and k-Nearest Neighbors AlgorithmsMatrenin, P. V.; Khalyasmaa, A. I.; Gamaley, V. V.; Eroshenko, S. A.; Papkova, N. A.; Sekatski, D. A.; Potachits, Y. V.
2020Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learningKhalyasmaa, A. I.; Eroshenko, S. A.; Tashchilin, V. A.; Ramachandran, H.; Chakravarthi, T. P.; Butusov, D. N.
2024Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term IntervalsMatrenin, P. V.; Harlashkin, D. A.; Mazunina, M. V.; Khalyasmaa, A. I.
2023Operational Forecasting of Wind Speed for an Self-Contained Power Assembly of a Traction SubstationMatrenin, P. V.; Khalyasmaa, A. I.; Rusina, A. G.; Eroshenko, S. A.; Papkova, N. A.; Sekatski, D. А.
2023Recurrent Neural Network-Based Autoencoder for Problems of Automatic Time Series Analysis at Power FacilitiesMatrenin, P. V.; Khalyasmaa, A. I.; Potachits, Y. V.
2024Review of Existing Tools for Software Implementation of Digital Twins in the Power IndustryIumanova, I. F.; Matrenin, P. V.; Khalyasmaa, A. I.
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