Department of Artificial Intelligence Systems in Energy 10
The department was created on January 1, 2020 (order No. 61 dated December 30, 2019) on the basis of the Laboratory of Information Technologies in the Energy Industry, the duties of the head. department performs chief researcher Massel Ludmila Vasilievna.
The main scientific directions of the department:
1. Methods and technologies of semantic (ontological, cognitive, event and probabilistic) modeling, visual analytics and cognitive graphics for intelligent decision support in the energy sector.
2. Methods for constructing an ontological knowledge space in the field of energy and knowledge management technology.
3. Methods and technologies for supporting collective expert activities, BigData technologies (processing of large amounts of data).
4. Methods for constructing multi-agent systems for energy research and agent-service technologies.
5. Machine learning methods and technological solutions developed with their use.
6. Methods of cyber-situational awareness of energy facilities, technologies and software tools for threat analysis and cybersecurity risk assessment.
7. Methods for constructing and implementing digital twins of energy facilities and smart digital twins of energy systems and the fuel and energy complex in general.
8. Methods for integrating studies of sustainability (resilience) of energy and socio-ecological systems using the quality of life as an integration factor.
9. Methods for building an IT infrastructure for system research in the energy sector and developing intelligent systems for managing the development and operation of energy systems based on digital twins.
Projects carried out in the department:
1. Project according to the state task of ISEM SB RAS, no. registration АААА-А21-121012090007-7, subject (draft) No. FWEU-2021-0007 (2021-2025). "Methodology for building an IT infrastructure for the development of intelligent control systems for the development and operation of energy systems", leader Massel L.V.
Priority direction of the Russian Academy of Sciences "Transition to advanced digital, intelligent production technologies, robotic systems, new materials and design methods, creation of systems for processing large amounts of data, machine learning and artificial intelligence"
2. Project according to the state task of ISEM SB RAS, no. registration АААА-А17-117030310444-2, subject (draft) No. 0349-2016-0005 (2017-2020). Project No. III.17.2.1b "Problems of development, adaptation and application of intelligent information and telecommunication technologies in integrated intelligent energy systems", leader Massel L.V.
Program III.17.2. Intelligent information and communication technologies in the energy sector, priority area III.17. Fundamentals of effective development and functioning of energy systems on a new technological basis in the context of globalization, including the problems of energy security, energy conservation and rational development of natural energy resources.
Projects supported by RFBR grants:
· Project of the Russian Science Foundation No. 22-21-00841 (2022-2023) “Adaptation and development of methods and tools for situational management and artificial intelligence for research on the sustainability of energy and environmental systems” - head, Doctor of Technical Sciences. L.V. Massel.
· RSF project 23-21-00382 (2023-2024) "Development and integration of methods and technologies for building digital twins of energy facilities (on the example of renewable energy sources)" - head Ph.D. A.G. Massel;
· RFBR project No. 20-07-00994 (2020-2022) "Methods and models for supporting collective expert decisions on the strategic innovative development of the energy infrastructure of the Russian Federation using Big Data technology" - head Ph.D. Kopaygorodsky A.N.
Project No. 20-07-00195 (2020-2022) “Methods for constructing an ontological knowledge space for intelligent decision support in energy and ecology, taking into account the quality of life” - head Ph.D. Vorozhtsova T.N.
Project No. 19-37-50070 (2020) “Methods and models for building an intelligent system of a semiotic type to support decision-making in the energy and ecology” (Competition Mol_nr “Mobility”), Spanish. graduate student Kuzmin V.R., head Ph.D. Zagorulko Yu.A. (ISI SB RAS, Novosibirsk)
EAPI-RFBR international project No. 18-57-81001 (2018-2020), "Methods and technologies for assessing the impact of energy on the geoecology of the region", carried out jointly with Armenia and Belarus (Institute of Energy of the National Academy of Sciences of Belarus and Technical University, Yerevan, Armenia) under supported by a grant from the Eurasian Association for the Support of Scientific Research (EASI) (in Russia, its powers are delegated by the Russian Foundation for Basic Research) – head, Doctor of Technical Sciences L.V. Massel.
· RFBR project No. 19-07-00351 (2019-2021) "Methods and intelligent technologies for the scientific justification of strategic decisions on the digital transformation of the energy sector" - head Dr.Sc. d.t.s. L.V. Massel.
RFBR project No. 18-07-00714 (2018-2020) “Methods for constructing dynamic fuzzy cognitive models and technologies for their application for software
The main scientific directions of the department:
1. Methods and technologies of semantic (ontological, cognitive, event and probabilistic) modeling, visual analytics and cognitive graphics for intelligent decision support in the energy sector.
2. Methods for constructing an ontological knowledge space in the field of energy and knowledge management technology.
3. Methods and technologies for supporting collective expert activities, BigData technologies (processing of large amounts of data).
4. Methods for constructing multi-agent systems for energy research and agent-service technologies.
5. Machine learning methods and technological solutions developed with their use.
6. Methods of cyber-situational awareness of energy facilities, technologies and software tools for threat analysis and cybersecurity risk assessment.
7. Methods for constructing and implementing digital twins of energy facilities and smart digital twins of energy systems and the fuel and energy complex in general.
8. Methods for integrating studies of sustainability (resilience) of energy and socio-ecological systems using the quality of life as an integration factor.
9. Methods for building an IT infrastructure for system research in the energy sector and developing intelligent systems for managing the development and operation of energy systems based on digital twins.
Projects carried out in the department:
1. Project according to the state task of ISEM SB RAS, no. registration АААА-А21-121012090007-7, subject (draft) No. FWEU-2021-0007 (2021-2025). "Methodology for building an IT infrastructure for the development of intelligent control systems for the development and operation of energy systems", leader Massel L.V.
Priority direction of the Russian Academy of Sciences "Transition to advanced digital, intelligent production technologies, robotic systems, new materials and design methods, creation of systems for processing large amounts of data, machine learning and artificial intelligence"
2. Project according to the state task of ISEM SB RAS, no. registration АААА-А17-117030310444-2, subject (draft) No. 0349-2016-0005 (2017-2020). Project No. III.17.2.1b "Problems of development, adaptation and application of intelligent information and telecommunication technologies in integrated intelligent energy systems", leader Massel L.V.
Program III.17.2. Intelligent information and communication technologies in the energy sector, priority area III.17. Fundamentals of effective development and functioning of energy systems on a new technological basis in the context of globalization, including the problems of energy security, energy conservation and rational development of natural energy resources.
Projects supported by RFBR grants:
· Project of the Russian Science Foundation No. 22-21-00841 (2022-2023) “Adaptation and development of methods and tools for situational management and artificial intelligence for research on the sustainability of energy and environmental systems” - head, Doctor of Technical Sciences. L.V. Massel.
· RSF project 23-21-00382 (2023-2024) "Development and integration of methods and technologies for building digital twins of energy facilities (on the example of renewable energy sources)" - head Ph.D. A.G. Massel;
· RFBR project No. 20-07-00994 (2020-2022) "Methods and models for supporting collective expert decisions on the strategic innovative development of the energy infrastructure of the Russian Federation using Big Data technology" - head Ph.D. Kopaygorodsky A.N.
Project No. 20-07-00195 (2020-2022) “Methods for constructing an ontological knowledge space for intelligent decision support in energy and ecology, taking into account the quality of life” - head Ph.D. Vorozhtsova T.N.
Project No. 19-37-50070 (2020) “Methods and models for building an intelligent system of a semiotic type to support decision-making in the energy and ecology” (Competition Mol_nr “Mobility”), Spanish. graduate student Kuzmin V.R., head Ph.D. Zagorulko Yu.A. (ISI SB RAS, Novosibirsk)
EAPI-RFBR international project No. 18-57-81001 (2018-2020), "Methods and technologies for assessing the impact of energy on the geoecology of the region", carried out jointly with Armenia and Belarus (Institute of Energy of the National Academy of Sciences of Belarus and Technical University, Yerevan, Armenia) under supported by a grant from the Eurasian Association for the Support of Scientific Research (EASI) (in Russia, its powers are delegated by the Russian Foundation for Basic Research) – head, Doctor of Technical Sciences L.V. Massel.
· RFBR project No. 19-07-00351 (2019-2021) "Methods and intelligent technologies for the scientific justification of strategic decisions on the digital transformation of the energy sector" - head Dr.Sc. d.t.s. L.V. Massel.
RFBR project No. 18-07-00714 (2018-2020) “Methods for constructing dynamic fuzzy cognitive models and technologies for their application for software
