Publications

2023

1. D. Sidorov, V. Muratov, A. Tynda and Yu. Yanitsky. Volterra black-box models identification methods: direct collocation vs least squares. Mathematics, 2023 (submitted).
2. L. R. Dreglea Sidorov, N. Sidorov and D. Sidorov. The linear Fredholm integral equations with functionals and parameters. Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica. 2023 (to appear)
3. J. Wan, F. Liu, Y. Li, Q. Liu, D. Sidorov. A Lossless Soft-Switching Boost Converter with Passive Auxiliary Circuit. IFAC-PapersOnLine. Vol. 56, Issue 2, 2023, pp. 441-446.
4. I. Postnikov, E. Samarkina, A. Penkovskii, V. Kornev and D. Sidorov. Modeling Unpredictable Behavior of Energy Facilities to Ensure Reliable Operation in a Cyber-Physical System. Energies, 2023, 16(19), 6960.
5. L. Song and D. Sidorov. Neural network fusion optimization for PV power forecasting. DYSC-2023 Conference Proceedings. 2023.
6. V. Muratov, D. Sidorov and A. Tynda. Volterra models identification using Chebishev polynomials. DYSC-2023 Conference Proceedings. 2023.
7. N.A. Sidorov and L.R.D. Dreglea Sidorov. Analytic construction of solution to integral equations with linear functionals and parameters. Technical Physics. (Springer), 2023
8. N. Sidorov, D. Sidorov and Y. Li. Basins of Attraction and Stability of Nonlinear Systems’ Equilibrium Points. Differential Equations and Dynamical Systems, 2023, 31(2), pp. 289–300.
9. N.A. Sidorov, L.R.D. Dreglea Sidorov. On the solution of Hammerstein integral equations with loads and bifurcation parameters. Bulletin of Irkutsk State University, Series Mathematics. 2023, vol. 43, p. 78-90.
10. S. Noeiaghdam, D. Sidorov, A. Dreglea. A novel numerical optimality technique to find the optimal results of Volterra integral equation of the second kind with discontinuous kernel, Applied Numerical Mathematics. vol. 186. 2023. 202-212.
11. D. Wang, Sh. Yang, K.-X. Guo, Y.-Y. Zhu, J. Sun, A. Dreglea, Y.-H. Gao, J. Yu. Computer-aided recognition and assessment of a porous bioelastomer in ultrasound images for regenerative medicine applications. Medicine in Novel Technology and Devices, 2023, 19, 100248
12. D. Raveendhra, R. Poojitha, B. L. Narasimharaju, A. Dreglea, F. Liu, D. Panasetsky, M. Patha, D. Sidorov. Part-I: State-of-the-Art technologies of Solar Powered DC Microgrid with Hybrid Energy Storage Systems-Architecture Topologies, Energies, 923:16(2). 2023. 1–23.
13. F. Liu, Q. Liu, Q. Tao, Y. Huang, D. Li and D. Sidorov. Deep reinforcement learning based energy management strategy concerning prediction intervals of wind power. International Journal of Electrical Power and Energy Systems. vol. 145. 2023. 108608.
14. F. Liu, H. Liu, Y. Li, D. Sidorov. Two relaxed quadratic function negative-determination lemmas: Application to time-delay systems. Automatica, vol. 147. 2023. 1–8.
15. T. Gruzdava, Y. Kochetov and D. Sidorov. Editorial for Special Issue on Mathematical Optimization Theory and Operations Research, International Journal of Artificial Intelligence, 2023, 21(2), pp. 36–38.

2022

1. J. Cai, F. Liu, Z. Fan, D. Sidorov and M. K. Pathak, “EID-based Robust Controller Design of PV Grid-Connected System with Parameter Uncertainty,” 2022 41st Chinese Control Conference (CCC), 2022, pp. 5289-5293, doi: 10.23919/CCC55666.2022.9902129.
2. A. Tynda, D. Sidorov. Inverse problem for integral dynamical models with discontinuous kernels. Mathematics, 2022, 10, 3945.
3. R. Zou, T.Yang, F. Liu, Z. Fan and D. Sidorov. Stability and stabilization of delayed fuzzy systems via a novel quadratic polynomial inequality. Journal of the Franklin Institute, 2022, 359, 16, pp. 8758-8776.
4. N. Tomin, V. Shakirov, V.Kurbatsky, R.Muzychuk, E.Popova, D. Sidorov, A. Kozlov and D.Yang. A multi-criteria approach to designing and managing a renewable energy community. Renewable Energy (Elsevier), Vol. 199, November 2022, pp. 1153-1175.
5. A. Tynda, S. Noeiaghdam and D. Sidorov. Polynomial spline collocation method for solving weakly regular Volterra integral equations of the first kind. Bulletin of Irkutsk State University, Series Mathematics, 2022, 39, pp. 62–79.
6. I. Kim, B. Kim and D. Sidorov. Machine learning for energy systems optimization. Energies, 15(11), 2022, doi: 10.3390/en15114116
7. A. Domyshev and D. Sidorov. Optimization of the Structure of Power System Multi-Agent Control. IFAC-PapersOnLine, 2022, 55(9), pp. 250–255
8. N. Sidorov and D. Sidorov. Branching solutions of the Cauchy problem for nonlinear loaded differential equations with bifurcation parameters. Mathematics, 10, 2022 DOI: 10.3390/math10122134
9. N. Tomin, V. Shakorov, A. Kozlov, D. Sidorov, V. Kurbatsky, C. Rehtanz and E. Lora. Design and optimal energy management of community microgrids with flexible renewable energy sources. Renewable Energy (Elsevier), 2022, 183, 903-921, DOI: 10.1016/j.renene.2021.11.024
10. S. Noeiaghdam, M. A. F. Araghi and D. Sidorov. Dynamical strategy on homotopy perturbation method for solving second kind integral equations using the CESTAC method. Journal of Computational and Applied Mathematics (Elsevier), 411 (2022), DOI: 114226/10.3390/computation10050067
11. Q. Tao, L. Fang, D. Yang and D. Sidorov, Bidirectional Gated Recurrent Unit-Based Lower Upper Bound Estimation Method for Wind Power Interval Prediction. IEEE Transactions on Artificial Intelligence, (2022), doi: 10.1109/TAI.2021.3123928 (to appear).
12. F. Liu, H.Liu, Y.Li and D. Sidorov “Two relaxed quadratic function negative-determination lemmas: application to time-delay systems”. Automatica (IFAC), (2022), to appear.
13. Yu. Bulatov, A. Krukov, V. Sanko, K. Suslov and D. Sidorov. “A stochastic model for determining static stability margins in electric power systems”, Computation, 10 (5), 67, (2022).
14. S. Noeiaghdam and D. Sidorov. Application of the stochastic arithmetic to validate the results of nonlinear fractional model of HIV infection for Cd8+T-Cells. in Book Mathematical Analysis of Infectious Diseases. 1st Edition. Edts. Praveen Agarwal, Juan Nieto, Delfim Torres. Elsevier. 2022.
15. N. A. Sidorov and D.N. Sidorov. Branching solutions of the Cauchy problem for nonlinear loaded differential equations with bifurcation parameters. Mathematics, 2022 (submitted).
16. H. Liu, Y. Tang, Y. Pu, F. Mei and D. Sidorov. Short-term load forecasting of multi-energy in integrated energy system based on multivariate phase space reconstruction and support vector regression. Electric Power Systems Research (Elsevier), vol. 210, (2022), DOI: 10.1016/j.epsr.2022.108066

2021

1. N.A. Sidorov, A.I. Dreglea, D.N. Sidorov. Generalisation of the Frobenius formula in the theory of block operators on normed spaces. Mathematics. 2021. 9(13). 3066 DOI: 10.3390/math9233066
2. D.P. Zhurov. Modeling for Pointing of Imaging Atmospheric Cherenkov Telescopes in Taiga Experiment. South Ural State University Bulletin, Series «Mathematical Modelling, Programming & Computer Software». 2021. Vol. 14. No. 4. PP.106-111. DOI: 10.14529/mmp210409
3. Н. Balasundaram, S. Sathiamoorthy, S.S. Santra, R. Ali, V. Govindan, A. Dreglea, S. Noeiaghdam. Effect of Ventricular Elasticity Due to Congenital Hydrocephalus. Symmetry. 2021; 13(11):2087.
4. A. Vasiliev, Yu. Yasyukevich, A. Garashchenko, I. Edemskiy, A. Vesnin, D. Sidorov, “Computer vision for GNSS-based detection of the auroral oval boundary”, International Journal of Artificial Intelligence, 19:2, 2021.
5. T. Nguyen, N.T. Huong. Long Deep Learning Methods for Classification of Road Defects. International Journal of Artificial Intelligence (Q2) 2021, 19(1)
6. S. Noeiaghdam, D. Sidorov. Valid Implementation of the Fractional Order Model of Energy Supply-Demand System. In Communications in Computer and Information Science, vol 1476. 2021. Springer, Cham, DOI: 10.1007/978-3-030-86433-0_34
7. A. Domyshev, U.Häger, D. Panasetsky, D. Sidorov, P. Sopasakis, “Resilient Future Energy Systems: Smart Grids, Vehicle-to-Grid and Microgrids”, Solving Urban Infrastructure Problems Using Smart City Technologies. Handbook on Planning, Design, Development, and Regulation, eds. J. Vacca, Elsevier, 2021, 571-597.
8. A. Dreglea, A. Foley, U. Häger, D. Sidorov, N. Tomin, “Hybrid renewable energy systems, load and generation forecasting, new grids structure, and smart technologies”, Solving Urban Infrastructure Problems Using Smart City Technologies. Handbook on Planning, Design, Development, and Regulation, eds. J. Vacca, Elsevier, 2021, 475–484.
9. S. Noeiaghdam, D. Sidorov, A. Zamyshlyaeva, A. Tynda and A. Dreglea, “A valid dynamical control on the reverse osmosis system using the CESTAC method”, Mathematics, 9:1 (2021), 48 (Published online) , 17 pp.
10. S. Noeiaghdam, D. Sidorov, A.-M. Wazwaz, N. Sidorov, V. Sizikov, “The numerical validation of the Adomian decomposition method for solving Volterra integral equation with discontinuous kernels”, Mathematics, 2021, 260 , 16 pp.
11. D. Sidorov, I. Muftahov, A. Tynda, “Numerical solution of fractional Volterra integral equation with piecewise continuous kernel”, Journal of Physics: Conference Series, 1847 (2021), 012011 , 6 pp.
12. D.N. Karamov, D.N. Sidorov, I.R. Muftahov, A.V. Zhukov, F. Liu, “Optimization of isolated power systems with renewables and storage batteries based on nonlinear Volterra models for the specially protected natural area of lake Baikal”, Journal of Physics: Conference Series, 1847 (2021), 012037 , 11 pp.
13. I. Shushpanov, K. Suslov, P. Ilyushin, D. N. Sidorov, “Towards the Flexible Distribution Networks Design Using the Reliability Performance Metric”, Energies, 14:9 (2021), 6193 , 12 pp.
14. S. Noeiaghdam, D. Sidorov, “Integral Equations: Theories, Approximations, and Applications”, Symmetry, 13:8 (2021), 1402 , 5 pp. (Editorial)
15. S. S. Santra, H. Alotaibi, S. Noeiaghdam and D. Sidorov, “On nonlinear forced impulsive differential equations and canonical and non-canonical conditions”, Symmetry 13, no. 11: 2066.

2020

1. А. Kozlov, N. Tomin, D. Sidorov et al. Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems using Reinforcement Learning Techniques. Energies (MDPI) 2020, 13(10), 2632
2. S. Lin, F. Liu and A. Dreglea Mode Identification of Broad-band Oscillation Signal Based on Improved VMD Method. 2020 39th Chinese Control Conference (IEEE CCC), Shenyang, China, 2020, pp. 6162-6167
3. H. Nguyen, L. Nguyen, D. Sidorov and A. Dreglea. A robust approach to detect gas bubbles through images analysis. IDT (IOS Press) 2020, DOI: 10.3233/IDT-180130
4. Z. Zeng, Y. Li, Y. Cao, Y. Zhao, J. Zhong and D. Sidorov Block Chain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application (review article) Energies (MDPI) 2020, 13(4)
5. Q. Tao, F. Liu, and D. Sidorov Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution Advances in Intelligent Systems and Computing, Springer 2020.

2019

1. Basins of attraction and stability of nonlinear systems equilibrium points
   N. Sidorov, D. Sidorov and Y. Li,
   Differential Equations and Dynamical Systems Dec. 2019
2. Hybrid intelligent technique for voltage/VAR control in power systems
   N.V. Tomin et al IET Generation, Transmission & Distribution Vol. 13, Issue 20, Nov. 2019
3. Fingerprints Classification through Image Analysis and Machine Learning Method
   T.H. Nguyen, T. L. Nguyen
   Algorithms. Vol. 12, Issue 12, Dec. 2019 (accepted)
4. Control of accuracy on Taylor-collocation method for load leveling problem
   S. Noeiaghdam, D. Sidorov, I. Muftahov and A. Zhukov
   Известия Иркутского государственного университета. Серия математика. 2019 (submitted)
5. Deep Reinforcement Learning for Energy Microgrids Management Considering Flexible Energy Sources
   N. Tomin, A. Zhukov, and A. Domyshev
   FREPS 2019, Vol. 117, DOI: 10.1051/epjconf/201921701016
6. Prediction of the power shortage in the electric power system by means of regression analysis by machine learning methods
   D. Boyarkin, D. Krupenev and D. Iakubobsky
   International Conference of Young Scientists on Energy Systems Research 2019,
   E3S Web of Conferences 114, 03003 (2019), DOI: 10.1051/e3sconf/201911403003
7. A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
   D. Sidorov, I. Muftahov, D. Karamov, N. Tomin, D. Panasetsky, A. Dreglea, F. Liu and A. Foley
   IEEE Transactions on Industrial Informatics, Aug. 2019, DOI:10.1109/TII.2019.2932453
8. Air Pollution Forecasting using a Deep Learning Model based on 1D Convnets and Bidirectional GRU
   Qing Tao, Fang Liu, Yong Li and Denis Sidorov
   IEEE Access, Vol. 7, 2019, DOI:10.1109/ACCESS.2019.2921578
9. Energy balancing using charge/discharge storages control and load forecasts in a renewable-energy-based grids
   D. Sidorov, Q. Tao, I. Muftahov, A. Zhukov, D. Karamov, A. Dreglea and F. Liu
   Proc. of 38th China Control Conference, Guangzhou, China 2019
10. Impacts of earthquakes on energy security in the Eurasian Economic Union: resilience of the electricity transmission networks in Russia, Kazakhstan, and Kyrgyzstan
    Dmitrii Iakubovskii, Nadejda Komendantova, Elena Rovenskaya, Dmitry Krupenev and Denis Boyarkin
    Geosciences, 2019, Vol. 9, No. 1, 54.
11. ROC analysis for classification of road defects
    Huong Thu Nguyen and Long The Nguyen
    BRAIN Journal (SCI), 2019, Vol. 10, No. 2, pp. 65-73.

2018

1. A uniform fault identification and location method of integrated energy systems
   Junjie Zhong, Yong Li, Yijia Cao, Denis Sidorov and Daniil Panasetsky
   Energy Systems Research, 2018, Vol. 1, No. 2, pp.14-24.
2. Integral equations in identification of external force and heat source density dynamics
   A.I. Dreglea and N.A. Sidorov
   Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica BASM n.3(88), 2018.
3. Irregular linear systems of PDEs with the conditions on solutions’ projections
   N.A. Sidorov
   arXiv > Mathematics > Analysis of PDEs > arXiv:1812.09694
4. Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control
   F. Gao, F. Liu and D.N. Sidorov
   ISCIIA and ITCA 2018 — 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications
5. Machine learning in electric power systems adequacy assessment using Monte-Carlo method
   D.A. Boyarkin, D.S. Krupenev and D.V. Iakubovskii
   Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software, 2018, 11(4), pp. 146-153, DOI:10.14529/mmp180411
6. Random Forest, Support Vector Regression and Gradient Boosting Methods for Ionosphere Total Electron Content Nowcasting Problem at Mid-Latitudes
   A. Zhukov, D. Sidorov, A. Mylnikova and Y. Yasyukevich
   Proceedings of 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC) 2018. DOI: 10.23919/URSI-AT-RASC.2018.8471588
7. Control of accuracy on Taylor-collocation method to solve the weakly regular Volterra integral equations of the first kind by using the CESTAC method
   Samad Noeiaghdam, Denis Sidorov, Valery Sizikov
   arXiv, Mathematics: Numerical Analysis: arXiv:1811.09802
8. Parameter estimation of electromechanical oscillation based on a constrained EKF and C&I-PSO
   Y. Sun, Y. Wang, L. Bai, Y. Hu, D. Sidorov, D. Panasetsky
   Energies. 2018. No. 11(8), p.1-15
9. Комплекс интеллектуальных средств раннего выявления и предотвращения возникновения системных аварий в энергообъединенияx
   Н.И. Воропай, Д.Н. Ефимов, А.В. Жуков, В.Г. Курбацкий, А.Б. Осак, Д.А. Панасецкий, Д.Н. Сидоров, Н.В. Томин
   Автоматика и телемеханика. 2018. No. 9, 16 p.
10. The Charge and Discharge Integrated Management Mode of EVs with Financial Incentive Mechanism
    S. Zhai, Y. Sun, D. Sidorov and D. Panasetsky
    Proceedings of IEEE PES POWERCON Conference, 6-8 Nov. 2018, Guangzhou, China, pp. 1265-1261, DOI:10.1109/POWERCON.2018.8601685
11. Machine Learning Methodology for Ionosphere Total Electron Content Nowcasting
    Aleksei Zhukov, Denis Sidorov, Anna Mylnikova, Yury Yasyukevich
    International Journal of Artificial Intelligence. 2018. Vol. 16, No. 1, p. 144-157.
12. Области притяжения точек равновесия нелинейных систем: устойчивость, ветвление и разрушение решений
    Н.А. Сидоров, Д.Н. Сидоров, Ю. Ли
    Изв. Иркутского гос. ун-та. Сер. Математика, 2018. Vol. 23, c. 46-63.
13. Численный метод решения систем нелинейных интегральных уравнений Вольтерра I рода с разрывными ядрами
    А. Н. Тында, Д. Н. Сидоров, И. Р. Муфтахов
    Журнал Средневолжского математического общества. 2018. Vol. 20, No. 1/2, c. 55-63.
14. Robust Approach to Detection of Bubbles Based on Images Analysis
    Huong T. Nguyen, Long T. Nguyen, Aliona I. Dreglea
    International Journal of Artificial Intelligence. 2018. Vol. 16, No. 1, p. 167-177.
15. On-Line Power Systems Security Assessment Using Data Stream Random Forest Algorithm Modification
    A. Zhukov, N. Tomin, D. Sidorov, V. Kurbatsky, D. Panasetsky
    Innovative Computing, Optimization and Its Applications: Modelling and Simulations, v. 741,
    Studies in Computational Intelligence, eds. Zelinka, I., Vasant, P., Duy, V.H., Dao, T.T., Springer Ac. Publ. AG, Berlin/Heidelberg, 2018, 20-37

2017

1. Numeric solution of Volterra integral equations of the first kind with discontinuous kernels
   I. Muftahov, A. Tynda, D. Sidorov
   Journal of Computational and Applied Mathematics. 2017. Vol. 313, p. 119-128.
2. Определение положения источников на черенковской камере телескопа TAIGA-IACT по снимкам с CCD-камеры
   Д.П. Журов, О.А. Гресс, Д.Н. Сидоров
   Информационные технологии в моделировании и управлении: подходы, методы, решения. Сборник научных статей I Всероссийской научной конференции : 12-14 декабря 2017 г., Тольятти, ТГУ, В двух частях. Ч.1 – Тольятти : ТГУ ПМиИ, 2017. – с.100-109.
3. Machine Learning in Electric Power Systems Adequacy Assessment Using Monte-Carlo Method
   D. Boyarkin, D. Krupenev, D. Iakubovskiy, D. Sidorov
   Proceedings of International IEEE Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON 2017), Novosibirsk, Russia, 18-22 Sept. 2017), 201 – 205
4. Ensemble Methods of Classification for Power Systems Security Assessment
   A. Zhukov, N. Tomin, V. Kurbatsky, D. Sidorov, D. Panasetsky, A.Foley,
   Applied Computing and Informatics (Elsevier), 2017, 1 – 23
5. Российско-Китайский семинар «Математическое моделирование электроэнергетических систем на возобновляемых источниках энергии и изолированные гибридные системы электроснабжения»
   Д.Н. Сидоров, Ю. Ли
   Изв. ИГУ. Сер. математика. 2017. Т. 21, с. 121-126.
6. Machine Learning Algorithms Application to Road Defects Classification
   T.H. Nguyen, T.L. Nguyen, D.N. Sidorov, A.I. Dreglea
   International journal on Intelligent Decision Technologies accepted (2018)
7. Скелетные разложения линейных операторов в теории нерегулярных систем с частными производными
   Н.А. Сидоров, Д.Н. Сидоров
   Изв. Иркутского гос. ун-та. Сер. Математика, 20 (2017), 75–95
8. Development of Automatic Intelligent System for On-Line Voltage Security Control of Power Systems
   N.Tomin, A.Zhukov, V. Kurbatsky, D. Sidorov, M. Negnevitsky
   Proc. of 12th IEEE PowerTech Conf. 8-22 June 2017, Manchester, UK, ind. IEEE Xplore
9. Solution of irregular systems of partial differential equations using skeleton decomposition of linear operators
   D.N. Sidorov, N.A. Sidorov
   Vestn. YuUrGU. Ser. Matem. modelirovanie i programmirovanie 10:2 (2017), 63–73
10. Random Forest Based Approach for Concept Drift Handling
    A.V. Zhukov, D.N. Sidorov and A.M. Foley
    Communications in Computer and Information Science J. 2017, Vol. 661, pp. 1-9. DOI: 10.1007/978-3-319-52920-27
11. A modular multilevel converter type solid state transformer with internal model control method
    Yong Li, Jiye Han, Yijia Cao, Yunxuan Li, Jiamin Xiong, Denis Sidorov, Daniil Panasetsky
    International Journal of Electrical Power & Energy Systems, 2017, Vol. 85, 153–163 DOI: 10.1016/j.ijepes.2016.09.001

2016

1. Идентификация динамики изменения внешней силы при моделировании колебаний струны с закрепленными концами
   А.И.Дрегля, Н.А.Сидоров
   Аналитические и численные методы моделирования естественно-научных и социальных проблем : материалы XI Междунар. науч.-техн. конф. (г. Пенза, Россия, 6–9 декабря 2016 г.) / под ред. д-ра физ.-мат. наук, проф. И. В. Бойкова. – Пенза : Изд-во ПГУ, 2016. – С. 125-129
2. Modeling and operating characteristic analysis of MMC-SST based shipboard power system
   Jiamin Xiong, Yong Li, Yijia Cao, Daniil Panasetsky and Denis Sidorov
   2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 28-32. doi: 10.1109/APPEEC.2016.7779464
3. Development of computional intelligence-based algorithms of preventing voltage collapse in power systems with a complex multi-loop structure
   N. Voropai, N. Tomin, V. Kurbatsky, D. Panasetsky, D. Sidorov and A. Zhukov
   2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 1-5. doi: 10.1109/APPEEC.2016.7827553
4. Decentralized multi-agent algorithm for voltage control
   D. Panasetsky, N. Tomin, D. Sidorov, V. Kurbatsky and A. Osak
   2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 852-856. doi: 10.1109/APPEEC.2016.7779615
5. Short-term wind power forecasting based on T-S fuzzy model
   Fang Liu, Ranran Li, Yong Li, Yijia Cao, Daniil Panasetsky and Denis Sidorov
   2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 414-418. doi: 10.1109/APPEEC.2016.7779537
6. Nonclassic boundary value problems in the theory of irregular systems of equations with partial derivatives
   N.A. Sidorov and D.N. Sidorov
   arXiv (Analysis of PDEs Subj.) 2016, arXiv:1610.02673 [math.AP]
7. A Combined Work Optimization Technology under Resource Constraints with an Application to Road Repair
   A.A. Lempert, D.N. Sidorov, A.V. Zhukov and G.L. Nguyen
   Automation and Remote Control (Springer) 2016, Vol. 77, No. 11, pp.1883-1893.
8. A Robust Approach for Road Pavement Defects Detection & Classification
   Huong Thu Nguyen, Long Nguyen, Denis Sidorov
   Journal of Computational and Engineering Mathematics 2016, Vol. 3, No. 3. DOI: 10.14529/jcem160305
9. A Controllably Inductive Filtering Method with Transformer-Integrated Linear Reactor for Power Quality Improvement of Shipboard Power System
   Y. Li, Y. Peng, D. Sidorov, D. Panasetsky, Ch. Liang, L. Luo and Y. Cao.
   IEEE Transaction on Power Delivery, 2016, Issue 99, DOI: 10.1109/TPWRD.2016.2574316
10. О регуляризации по Лаврентьеву интегральных уравнений первого рода в пространстве непрерывных функций
    И.Р. Муфтахов, Д.Н. Сидоров, Н.А. Сидоров
    Известия Иркутского государственного университета, Серия «Математика», т.15, с.62-77.
    (2016)
11. Generalized quadrature for solving singular integral equations of Abel type in application to infrared tomography
    Valery Sizikov, Denis Sidorov
    Applied Numerical Mathematics, Volume 106, August 2016, Pages 69-78
    (2016)
12. A Controllably Inductive Filtering Method with Transformer-Integrated Linear Reactor for Power Quality Improvement of Shipboard Power System
    Y. Li, Y. Peng, D. Sidorov, D. Panasetsky, Ch. Liang, L. Luo and Y. Cao
    Submitted to IEEE Transaction on Power Delivery (2016)
13. О роли уравнений Вольтерра в обратной задаче теплопроводности с нелокальным граничным условием
    И.Р. Муфтахов, Д.Н. Сидоров, А.И. Дрегля. Математическое и компьютерное моделирование естественно-научных и социальных проблем материалы X Международной научно-технической конференции молодых специалистов, аспирантов и студентов. Ред. И. В. Бойков. 2016. С. 15-19. DOI: 10.13140/RG.2.1.3897.6888.
14. On road defects detection and classification
    Thu Huong Nguyen and Aleksei Zhukov
    Presented to 5th AIST Conference (2016)
15. Random Forest Based Approach for Concept Drift Handling
    Aleksei Zhukov, Denis Sidorov, Aoife Foley, and Adele Marshall
    Submitted to 5th AIST Conference (2016) arXiv Version
16. Solvability and Numerical Solutions of Systems of Nonlinear Volterra Integral Equations of 1st kind with Piecewise Continuous Kernels
    Denis Sidorov, Ildar Muftahov
    Vestnik YuUrGU. Ser. Mat. Model. Progr. DOI: 10.13140/RG.2.1.4942.3447 (2016)
17. Ensemble Methods of Classification for Power Systems Security Assessment
    Alexei Zhukov, Victor Kurbatsky, Nikita Tomin, Denis Sidorov, Daniil Panasetsky, Aoife Foley
    arXiv: Artificial Intelligence (cs.AI); Learning (cs.LG), arXiv:1601.01675 [cs.AI] (2016)

2015

1. Perturbation Theory and the Banach – Steinhaus Theorem for Regularization of the Linear Equations of the First Kind
   N. A. Sidorov, D. N. Sidorov, I. R. Muftahov
   The Bul. of ISU. Ser. Maths., Vol. 14. P. 82—99 (2015)
2. Numerical Solution of Volterra Integral Equations of the First Kind with Discontinuous Kernels
   I. Muftahov, A. Tynda, D. Sidorov
   arXiv: Numerical Analysis (math.NA), arXiv:1507.06484 [math.NA] (2015)
3. Generalized Quadrature for Solving Singular Integral Equations of Abel Type in Application to Infrared Tomography
   Valery Sizikov, Denis Sidorov
   arXiv: Numerical Analysis (math.NA), arXiv:1509.02586 [math.NA] (2015)
4. Random Forest Based Model for Preventing Large-Scale Emergencies in Power Systems
   N. Tomin, A. Zhukov, D. Sidorov, V. Kurbatsky, D. Panasetsky, V. Spiryaev
   Intl. Journal of Artificial Intelligence, 13:1 (2015), 221–228
5. On Perturbation Method for the First Kind Equations: Regularization & Application
   I. R. Muftahov, D. N. Sidorov, N. A. Sidorov
   Vestnik YuUrGU. Ser. Mat. Model. Progr., 8:2 (2015), 69–80

2014

1. Forecasting Nonstationary Time Series Based on Hilbert–Huang Transform and Machine Learning
   V. G. Kurbatsky, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin
   Avtomat. i Telemekh., 2014, no. 5, 143–158
2. On one Integral Volterra Model of Developing Dynamical Systems
   E. V. Markova, D. N. Sidorov
   Automation and Remote Control, 2014, no. 3, 3–13
3. Power System Parameters Forecasting Using Hilbert–Huang Transform and Machine Learning
   V. G. Kurbatsky, V. A. Spiryaev, N. V. Tomin, P. Leahy, D. N. Sidorov, A. V. Zhukov
   IIGU Ser. Matematika, 9 (2014), 75–90
4. On the Solvability of a Class of Volterra Operator Equations of the First Kind with Piecewise Continuous Kernels
   N. A. Sidorov, D. N. Sidorov
   Mat. Zametki, 96:5 (2014), 773–789
5. A Hybrid Wind Speed Forecasting Strategy Based on Hilbert-Huang Transform and Machine Learning Algorithms N. Tomin, D. Sidorov, V. Kurbatsky, V. Spiryaev, A. Zhukov, P. Leahy Power System Technology (POWERCON), 2014 IEEE International Conference on, vol. 1 (2014), 2980–298
6. Numerical Solution of Volterra Integral Equations of the First Kind with Piecewise Continuous Kernel
   D. N. Sidorov, A. N. Tynda, I. R. Muftahov
   Vestnik YuUrGU. Ser. Mat. Model. Progr., 7:3 (2014), 107–115
7. Generalized solution to the Volterra equations with piecewise continuous kernels
   D.N. Sidorov Bull. Malays. Math. Sci. Soc.(2), 2014

2013

1. Solvability of systems of integral Volterra equations of the first kind with piecewise continuous kernels
   D. N. Sidorov
   Izv. Vyssh. Uchebn. Zaved. Mat., 2013, no. 1, 62–72

2012

1. Volterra Integral Equations of the First Kind with Piecewise Continuous Kernels in the Theory of Evolving Systems Modeling
   E. V. Markova, D. N. Sidorov
   IIGU Ser. Matematika, 5:2 (2012), 31–45
2. Solution to the Volterra equations of the 1st kind with discontinuous kernels in the class of generalized functions
   D. N. Sidorov
   IIGU Ser. Matematika, 5:1 (2012), 80–95
3. Successive approximations to solutions of nonlinear equations with vector parameter in the irregular case
   N. A. Sidorov, D. N. Sidorov, R. Yu. Leont’ev
   Sib. Zh. Ind. Mat., 15:1 (2012), 132–137
4. On successive approximations of solutions of a singular Cauchy problem
   N. A. Sidorov, D. N. Sidorov
   Trudy Inst. Mat. i Mekh. UrO RAN, 18:2 (2012), 238–244
5. Solution to the Volterra Integral Equations of the First Kind with Discontinuous Kernels
   D. N. Sidorov
   Vestnik YuUrGU. Ser. Mat. Model. Progr., 2012, no. 12, 44–52

2011

1. On the neural network approach for forecasting of nonstationary time series on the basis of the Hilbert–Huang transform
   V. G. Kurbatskii, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin
   Avtomat. i Telemekh., 2011, no. 7, 58–68
2. Generalized solutions in the problem of dynamical systems modeling by Volterra polynomials
   D. N. Sidorov, N. A. Sidorov
   Avtomat. i Telemekh., 2011, no. 6, 127–132
3. Hybrid model for short-term forecasting in electric power system
   V. Kurbatsky, D. Sidorov, N. Tomin, V. Spiryaev
   International Journal of Machine Learning and Computing 1 (2), 2011, 138-147
4. Method of monotone majorants of the theory of nonlinear Volterra equations
   D. N. Sidorov
   IIGU Ser. Matematika, 4:1 (2011), 109–117
5. Non-stationary Autoregressive Model for On-line Detection of Inter-area Oscillations in Power Systems
   V. Smidl, D. Sidorov, D. Panasetsky
   IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, NY, 2010
6. Small solutions of nonlinear differential equations near branching points
   N. A. Sidorov, D. N. Sidorov
   Izv. Vyssh. Uchebn. Zaved. Mat., 2011, no. 5, 53–61

2010

1. Branching solutions of nonlinear differential equations of n-th order
   N. A. Sidorov, D. N. Sidorov
   IIGU Ser. Matematika, 3:1 (2010), 92–103
2. Solving the Hammerstein integral equation in the irregular case by successive approximations
   N. A. Sidorov, D. N. Sidorov
   Sibirsk. Mat. Zh., 51:2 (2010), 404–409

2009

1. Melt spinning process modeling: existence of nonlinear PDE systems’ analytical solution
   A. Dreglea, D.N. Sidorov
   Thermal Processes in Engineering 11, (2009), 500-512
2. Generalized solutions to integral equations in the problem of identification of nonlinear dynamic models
   N. A. Sidorov, D. N. Sidorov
   Avtomat. i Telemekh., (2009), no. 4, 41–47

2008

1. Automatic defects classification with p-median clustering technique
   D. Sidorov, W. S. Wei, I. Vasilyev, S. Salerno
   Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
   (2008), 775 — 780

2007

1. Cluster analysis application to automatic flaw detection
   I. L. Vasiliev, D. N. Sidorov
   Probl. Upr., 2007, no. 4, 36–42

2005

1. Generalized solutions of Volterra integral equations of the first kind
   M. V. Falaleev, N. A. Sidorov, D. N. Sidorov
   Lobachevskii J. Math., 20 (2005), 47–57

2002

1. Removing Moiré from Degraded Video Archives
   D. N. Sidorov, A. C. Kokaram
   In XIth European Conference in Signal Processing (EUSIPCO 2002). September, Vol. 1, 24-26
2. Modelling of nonlinear dynamic systems by Volterra series approach method: Identification and applications. D. N. Sidorov. In the monograph Attractors, signals, and synergetics, edt. W. Klonowski, Pabst. Sci., (2002), 276–281
3. Suppression of Moiré Patterns via Spectral Analysis
   D. N. Sidorov, A. C. Kokaram
   In SPIE Proc. Visual Communications and Image Processing., Vol. 4671 (2002), 895–906

2000

1. Modeling of Nonlinear Time-dependent Dynamical Systems by Volterra Series: Identification and Applications
   D. N. Sidorov
   Sib. Zh. Ind. Mat., 3:1 (2000), 182–194