Gal'Perova E., Gal'Perov V. Modeling the active consumer behavior based on the agent approach // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482157. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482157
Tiuriumin V., Massel A. Integration of situation semantic models based on ontology system // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482232. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482232
Massel L., Kuzmin V. Situation calculus application in tasks of intelligent decision-making support // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482131. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482131
Kopaygorodsky A. Ontology-based decision support system for forecasting of energy infrastructure development // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482172. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482172
Gaskova D., Massel A. Intelligent system for risk identification of cybersecurity violations in energy facility // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482229. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482229
Liu F., Xu Z., Liu L., Yang F., Sidorov D. A Robust Active Disturbance Rejection Controller Design for LFC in Two-area Power System // Chinese Control Conference, CCC. Vol.2018-July. ID: 8483944. 2018. P.8858-8863. ISBN (print): 9789881563941. DOI: 10.23919/ChiCC.2018.8483944
Zhang Y., Sun Y., Wu X., Sidorov D., Panasetsky D. Economic Dispatch in Smart Grid Based on Fully Distributed Consensus Algorithm with Time Delay // Chinese Control Conference, CCC. Vol.2018-July. ID: 8483557. 2018. P.2442-2446. ISBN (print): 9789881563941. DOI: 10.23919/ChiCC.2018.8483557
Feoktistov A., Sidorov I., Tchernykh A., Edelev A., Zorkalzev V., Kostromin R., Gorsky S., Bychkov I., Avetisyan A. Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment // Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018. ID: 8514450. P.909-916. ISBN (print): 9781538678787. DOI: 10.1109/HPCS.2018.00145
Voropai N., Trufanov V., Khanaev V. Load management possibilities of electric vehicles when expansion planning of electric power systems // IOP Conference Series: Earth and Environmental Science. Vol.188. No.1. ID: 012016. 2018. DOI: 10.1088/1755-1315/188/1/012016
Boyarkin D.A., Krupenev D.S., Iakubovskii D.V. Machine learning in electric power systems adequacy assessment using Monte-Carlo method // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. Vol.11. No.4. 2018. P.146-153. DOI: 10.14529/mmp180411
Modeling the active consumer behavior based on the agent approach
Библиографическая ссылка
Integration of situation semantic models based on ontology system
Библиографическая ссылка
Situation calculus application in tasks of intelligent decision-making support
Библиографическая ссылка
Ontology-based decision support system for forecasting of energy infrastructure development
Библиографическая ссылка
Intelligent system for risk identification of cybersecurity violations in energy facility
Библиографическая ссылка
A Robust Active Disturbance Rejection Controller Design for LFC in Two-area Power System
Библиографическая ссылка
Economic Dispatch in Smart Grid Based on Fully Distributed Consensus Algorithm with Time Delay
Библиографическая ссылка
Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment
Библиографическая ссылка
Load management possibilities of electric vehicles when expansion planning of electric power systems
Библиографическая ссылка
Machine learning in electric power systems adequacy assessment using Monte-Carlo method
Библиографическая ссылка
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