Browsing by Author Khalyasmaa, A. I.
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 2017 | Alternative power supply systems for remote industrial customers | Kharlamova, N. V.; Khalyasmaa, A. I.; Eroshenko, S. A. |
| 2022 | Data Mining Applied to Decision Support Systems for Power Transformers’ Health Diagnostics | Khalyasmaa, A. I.; Matrenin, P. V.; Eroshenko, S. A.; Manusov, V. Z.; Bramm, A. M.; Romanov, A. M. |
| 2020 | Decision support system for quality management of cosmetic products | Shabunina, O. V.; Khalyasmaa, A. I.; Korelina, E. V. |
| 2020 | Digital twin technology as an instrument for increasing electrical equipment reliability | Khalyasmaa, A. I.; Eroshenko, S. A.; Shatunova, D. V.; Larionova, A. A.; Egorov, A. O. |
| 2014 | Fuzzy neural networks' application for substation integral state assessment | Khalyasmaa, A. I.; Dmitriev, S. A.; Kokin, S. E.; Eroshenko, S. A. |
| 2020 | The impact of data filtration on the accuracy of multiple time-domain forecasting for photovoltaic power plants generation | Eroshenko, S. A.; Khalyasmaa, A. I.; Snegirev, D. A.; Dubailova, V. V.; Romanov, A. M.; Butusov, D. N. |
| 2020 | Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting | Matrenin, P. V.; Manusov, V. Z.; Khalyasmaa, A. I.; Antonenkov, D. V.; Eroshenko, S. A.; Butusov, D. N. |
| 2020 | Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning | Khalyasmaa, A. I.; Eroshenko, S. A.; Tashchilin, V. A.; Ramachandran, H.; Chakravarthi, T. P.; Butusov, D. N. |
| 2020 | Vibration problem solution of high-capacity hydropower units | Khalyasmaa, A. I.; Sultonov, S. M.; Ahyoev, J. S.; Bahovadinov, A. H. |
| 2013 | Интегральная оценка электрических подстанций с помощью методов искусственных нейронных сетей на основе данных технической диагностики | Хальясмаа, А. И.; Khalyasmaa, A. I. |
