1. Pashchenko, A. F., & Rassadin, Y. M. (2022). Microclimate Monitoring System Design for the Smart Grid Analysis and Constructive Parameters Estimation. IFAC-PapersOnLine, 55(9), 479-484. https://doi.org/10.1016/j.ifacol.2022.07.083
  2. Goubko, M. V., & Shushko, N. I. (2022). Approximate Dynamic Programming Decompositions for Economic Dispatch in Microgrids. IFAC-PapersOnLine, 55(9), 262-267. https://doi.org/10.1016/j.ifacol.2022.07.046
  3. Bazenkov, N. I., Dushin, S. V., Goubko, M. V., Korepanov, V. O., Rassadin, Y. M., Sereda, L. A., & Shinkaryuk, A. G. (2022). An Office Building Power Consumption Dataset for Energy Grid Analysis and Control Algorithms. IFAC-PapersOnLine, 55(9), 111-116. https://doi.org/10.1016/j.ifacol.2022.07.020
  4. Pikina G.A., Pashchenko A.F., Kulikiv A.S. Developing a Method for Determining the Dynamic Characteristics of Heat Exchangers with Cross-Flowing Stream / IFAC-PapersOnLine. М.: Elsevier, 2022. V. 55-9. P. 543-548. https://doi.org/10.1016/j.ifacol.2022.07.094
  5. Gulyaev S.V., Pashchenko F.F., Pashchenko A.F., An B.T. and Hieu T.D. Energy — efficient resource — saving control system in gas production and gas transportation / IOP Conference Series: Earth and Environmental Science. Bristol, UK: IOP, 2022. V.1045 Iss.1. https://doi.org/10.1088/1755-1315/1045/1/012052
  6. Y. Rassadin and A. Pashchenko, «Time Delay Estimation for Indoor Temperature Prediction by Weather Conditions,» 2022 15th International Conference Management of large-scale system development (MLSD), Moscow, Russian Federation, 2022, pp. 1-5, https://doi.org/10.1109/MLSD55143.2022.9934172.
  7. Pashchenko A.F., Tordiya M.D. Genetic Algorithm Based Approach for Optimal Scheduling Problem in Agricultural Industry / Proceedings of the 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2022. С. 342-346.
  8. Rassadin, Y. M., Dushin, S. V. Efficient Wireless Data Collection System Based on LoRaWAN Technology and Distributed Computation Approach / Proceedings of the 23rd International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2020, Moscow). М.: Springer, Cham, 2020. Vol. 1337. P. 510-520. https://doi.org/10.1007/978-3-030-66242-4_40
  9. Пащенко А.Ф., Тордия М.Д., Хижинская Л.Д. Обзор современных подходов к задачам выбора информативных признаков // Датчики и системы. 2020. №12. С. 16-26.
  10. Bazenkov, N. I., Boldyshev, B. A., Dushin, S. V., Frolov, S. A., Goubko, M. V., Korepanov, V. O., & Sereda, L. A. (2019, November). Intensive data collection system for smart grid and smart building research. In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA) (pp. 411-415). IEEE. https://doi.org/10.1109/SUMMA48161.2019.8947469
  11. Dushin, S.V., Frolov, S.A. (2019). Distributed Data Compression Algorithm for Low-Power Wide-Area Networks. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Communications in Computer and Information Science, vol 1141. Springer, Cham. https://doi.org/10.1007/978-3-030-36625-4_14
  12. Pashchenko F.F., Kudinov Yu.I., Pashchenko A.F., Duvanov E.S. Fuzzy Quadratic Control of Thermal Object / Proceedings of the 1st International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2019, Lipetsk). Липецк: IEEE, 2019. https://doi.org/10.1109/summa48161.2019.8947607
  13. Bazenkov N., Goubko M. (2018) Advanced Planning of Home Appliances with Consumer’s Preference Learning. In: Kuznetsov S., Osipov G., Stefanuk V. (eds) Artificial Intelligence. RCAI 2018. Communications in Computer and Information Science, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-00617-4_23