Integration of Research on Resilience of Energy and Socio-Ecological Systems Using Artificial Intelligence Methods
Resilience research of the of energy and socio-ecological systems are becoming more and more relevant, since in the first place are not only issues of the stability of these systems (sustainability), but questions resilience as possibility and speed of the return of these systems to a stable state after disturbances, which these systems are exposed. Resilience is the ability of a system to return to an equilibrium state after a temporary disturbance; the faster it returns to balance and the less it loses, the more stable it is. The level of resilience is proportional to the speed of returning back (recovery). According to the ecological approach, resilience is a measure of the constancy of ecosystems and their ability to adapt to changes and disturbances and still maintain the same relationships between a population or a state. The novelty of the proposed approach is determined, firstly, by the integration of resilience research of energy and socio-ecological systems using the concept of “quality of life”; secondly, the use of the concept of situational management in resilience research in the formation of control actions to return systems to a stable state after disturbances; third, the integration of qualitative methods (based on semantic and predictive modeling) and quantitative methods (based on mathematical modeling) in resilience research. © 2022, Springer Nature Switzerland AG.
Библиографическая ссылка
Massel L.V., Massel A.G., Pesterev D.V. Integration of Research on Resilience of Energy and Socio-Ecological Systems Using Artificial Intelligence Methods // Communications in Computer and Information Science. Vol.1539 CCIS. 2022. P.107-119. ISBN (print): 9783030954932. DOI: 10.1007/978-3-030-95494-9_9
