Severina Y.D., Shakirov V.A., Takashvili L.N. Modeling the development of energy systems of remote areas in the context of the energy transition // Energy Systems Research. Vol.7. No.4. 2024. P.38-48. DOI: 10.25729/esr.2024.04.0005
Ivanova I.Y., Shakirov V.A., Ivanov R.A. Feasibility of Connecting Consumers in Isolated Communities to the Irkutsk Power System // Energy Systems Research. Vol.7. No.4. 2024. P.65-70. DOI: 10.25729/esr.2024.04.0008
Stennikov V.A., Tashlykova V.B., Barakhtenko E.A., Sokolov D.V. Expansion of the Prosumer's Heating System in the Context of the Transition to Carbon-Free Energy // Energy Systems Research. Vol.7. No.4. 2024. P.59-64. DOI: 10.25729/esr.2024.04.0007
Stennikov V.A., Golovshchikov V.O., Penkovsky A.V., Osak A.B. Ranges of Cost-effectiveness of Alternative Energy Carriers for Heating Residential Buildings and Social Facilities // Energy Systems Research. Vol.7. No.4. 2024. DOI: 10.25729/esr.2024.04.0012
Vasiliev I. , Gruzdeva T. , Barkova M. , Boyarkin D. , Iakubovskii D. On Active-Set Methods for Quadratic Problems with Positive Semidefinite Matrices // Communications in Computer and Information Science. Vol.2239 CCIS. 2024. P.46-58. ISBN (print): 978-303173364-2. DOI: 10.1007/978-3-031-73365-9_3
Guo W. , Liu F. , Wang Y. , Sidorov D. , Wu J. Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems under False Data Injection Attacks // IEEE Transactions on Industrial Informatics. 2024. DOI: 10.1109/TII.2024.3514185
Noeiaghdam S. , Sidorov D.N. , Dreglea A.I. Fuzzy Volterra Integral Equations with Piecewise Continuous Kernels: Theory and Numerical Solution; [Нечеткие интегральные уравнения Вольтерра с кусочно-непрерывными ядрами: теория и численное решение] // Bulletin of Irkutsk State University, Series Mathematics. Vol.50. 2024. P.36-50. DOI: 10.26516/1997-7670.2024.50.36
DAO M.H., LIU F., Sidorov D.N. Kolmogorov–Arnold Neural Networks Technique for the state of charge estimation for li-ion batteries // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. Vol.17. No.4. 2024. P.22-31. DOI: 10.14529/mmp240402
Solodusha S.V. Anatoly Solomonovich Apartsyn. Scientific Heritage; [Анатолий Соломонович Апарцин. Научное наследие] // Bulletin of Irkutsk State University, Series Mathematics. Т.50. 2024. C.170-179. DOI: 10.26516/1997-7670.2024.50.170
Skvortsov I.V. , Shemakhin A.Y. , Danilov I.Y. , Gaskova D.A. Prediction of Characteristics of Inductive Coupled Radio Frequency Discharge at Low Pressure in One-Dimensional Approximation Using Neural Network Approach // High Energy Chemistry. Vol.58. No.Suppl 3. 2024. 3 p. DOI: 10.1134/S0018143924701273
Modeling the development of energy systems of remote areas in the context of the energy transition
Библиографическая ссылка
Feasibility of Connecting Consumers in Isolated Communities to the Irkutsk Power System
Библиографическая ссылка
Expansion of the Prosumer's Heating System in the Context of the Transition to Carbon-Free Energy
Библиографическая ссылка
Ranges of Cost-effectiveness of Alternative Energy Carriers for Heating Residential Buildings and Social Facilities
Библиографическая ссылка
On Active-Set Methods for Quadratic Problems with Positive Semidefinite Matrices
Библиографическая ссылка
Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems under False Data Injection Attacks
Библиографическая ссылка
Fuzzy Volterra Integral Equations with Piecewise Continuous Kernels: Theory and Numerical Solution; [Нечеткие интегральные уравнения Вольтерра с кусочно-непрерывными ядрами: теория и численное решение]
Библиографическая ссылка
Kolmogorov–Arnold Neural Networks Technique for the state of charge estimation for li-ion batteries
Библиографическая ссылка
Anatoly Solomonovich Apartsyn. Scientific Heritage; [Анатолий Соломонович Апарцин. Научное наследие]
Библиографическая ссылка
Prediction of Characteristics of Inductive Coupled Radio Frequency Discharge at Low Pressure in One-Dimensional Approximation Using Neural Network Approach
Библиографическая ссылка
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