Bychkov I.V., Oparin G.A., Feoktistov A.G., Sidorov I.A., Gorsky S.A., Kostromin R.O., Edelev A.V. Subject-oriented computing environment for solving large-scale problems of energy security research // Journal of Physics: Conference Series. Vol.1368. No.5. ID: 052030. 2019. DOI: 10.1088/1742-6596/1368/5/052030 We represent a new approach to the development and use of a subject-oriented heterogeneous distributed computing environment for solving large-scale problems of energy security research. Both...
Теги: application programs , multi agent systems , nanotechnology , collaborative application , computing environments , computing resource , continuous integrations , distributed computing environment , heterogeneMassel L.V., Kuzmin V.R. "Situation polygon" as an intelligent environment for strategic decision-making support in development of Russian energy sector // Procedia Computer Science. Vol.156. 2019. P.308-318. DOI: 10.1016/j.procs.2019.08.207 For justification and support of strategic decisions, it is feasible to use intelligent information technologies. For development of intelligent environments for strategic decision-making support on development of Russian energy sector, we propose...
Теги: decision-making , intelligent decision-making support system , semantic modelling , situation polygon , geometry , intelligent agents , multi agent systems , semantics , energy sector , intelligent decision making , intelligent environment , strategic decision makinMayorov G., Stennikov V., Barakhtenko E. Application of the multiagent approach to the research of integrated energy supply systems // E3S Web of Conferences. Vol.114. ID: 01006. 2019. DOI: 10.1051/e3sconf/201911401006 The current technological infrastructure in the electricity, heat, cold, and gas supply, as a rule, is formed and controlled separately by local systems and tasks. The traditionally considered energy systems unite large energy sources, such as hydroelectric power station, combined...
Теги: complex networks , energy policy , hydroelectric power , hydroelectric power plants , multi agent systems , advanced technology , energy supplies , energy supply system , hydroelectric power station , integratVoropai N., Kurbatsky V., Tomin N., Efimov D., Kolosok I. Intelligent control and protection of power systems in the Russian cities // SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. 2019. P.19-29. ISBN (print): 9789897583735. A distinctive feature of the energy system development in Russian megalopolises is the need for a comprehensive approach to the problem of making the network intelligent. The paper presents the following contributions:...
Теги: artificial intelligence , control , power grid , protection , russia , smart cities , control engineering , electric power system protection , electric power transmission networks , green computing , intelligent agents , learning systems , multi agent systems , powerFeoktistov A., Gorsky S., Sidorov I., Kostromin R., Edelev A., Massel L. Orlando tools: Energy research application development through convergence of grid and cloud computing // Communications in Computer and Information Science. Vol.965. 2019. P.289-300. ISBN (print): 9783030058067. DOI: 10.1007/978-3-030-05807-4_25 The paper addresses the relevant problem related to the development of scientific applications (applied software packages) to solve large-scale problems in heterogeneous distributed...
Теги: cloud , energy research , grid , scientific application , application programs , cloud computing , clouds , energy security , multi agent systems , distributed applications , distributed computing environment , grid and cloud computing , hybriBychkov I.V., Feoktistov A.G., Sidorov I.A., Edelev A.V., Gorsky S.A., Kostromin R.O. Machine learning in a multi-agent system for distributed computing management // CEUR Workshop Proceedings. Vol.2212. 2018. P.89-97. http://ceur-ws.org/Vol-2212/paper12.pdf We address the relevant problem of machine learning in a multi-agent system for distributed computing management. We propose a new approach to the agent learning in the system for managing job flows of scalable applications in a heterogeneous...
Теги: learning systems , multi agent systems , nanotechnology , distributed computing environment , energy development , high-performance computing clusters , job classification , parameter adjustments , parameterPanasetsky D., Tomin N., Sidorov D. et al. Decentralized multi-agent algorithm for voltage control // Asia-Pacific Power and Energy Engineering Conference, APPEEC. Vol.Decem. 2016. P.852-856. ISBN 9781509054183. DOI: 10.1109/APPEEC.2016.7779615. In recent years, due to liberalization, power systems are being operated closer and closer to their limits. At the same time, they have increased in size and complexity. Both factors increase the risk of major power outages and blackouts. Most of the existing...
Теги: automatic voltage control , emergency control , multi-agent systems , power system control , reactive power control , fault tolerance , multi agent systems , power control , reactive power , software agents , voltage control , development and testing , multi-agent alPanasetsky D., Tomin N., Voropai N., Kurbatsky V., Zhukov A., Sidorov D. Development of software for modelling decentralized intelligent systems for security monitoring and control in power systems // Proc. of Int. Conf. IEEE Power Tech, Eindhoven, Netherlands. 2015. 1 p. ISBN (print): 9781479976. DOI: 10.1109/PTC.2015.7232553 With rapidly increasing complexity of power grids in Europe, North America and Asia, liberalization of electricity markets and increasing penetration of renewable energy...
Теги: artificial intelligence , electric power system control , electric power system security , intelligent agents , intelligent systems , learning systems , matlab , monitoring , multi agent systems , power contro
