Просмотр коллекции по группе - По автору Khalyasmaa, A. I.

Перейти к: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
А Б В Г Д Е Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я
или введите несколько первых букв:  
Отображение результатов 1 до 20 из 20
Дата публикацииНазваниеАвторы
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.
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.
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.
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.
2023Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle ManagementKhalyasmaa, A. I.; Stepanova, A. I.; Eroshenko, S. A.; Matrenin, P. V.
2022Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic AlgorithmBramm, A. M.; Khalyasmaa, A. I.; Eroshenko, S. A.; Matrenin, P. V.; Papkova, N. A.; Sekatski, D. A.
2020Vibration problem solution of high-capacity hydropower unitsKhalyasmaa, A. I.; Sultonov, S. M.; Ahyoev, J. S.; Bahovadinov, A. H.
2013Интегральная оценка электрических подстанций с помощью методов искусственных нейронных сетей на основе данных технической диагностикиХальясмаа, А. И.; Khalyasmaa, A. I.
2017Системы мониторинга и диагностики технического состояния оборудования на подстанцииНеуймина, М. И.; Егоров, А. О.; Ерошенко, С. А.; Хальясмаа, А. И.; Тейхриб, Г. И.; Neuymina, M. I.; Egorov, A. O.; Eroshenko, S. A.; Khalyasmaa, A. I.; Teykhrib, H. I.