Resilience of socio-ecological and energy systems: Intelligent information technologies for risk assessment of natural and technogenic threats

Lyudmila Massel, Nadejda Komendantova, Aleksei Massel, Anna Tsvetkova, Konstantin Zaikov, Oksana Marinina

Article ID: 4700
Vol 8, Issue 7, 2024

VIEWS - 173 (Abstract) 86 (PDF)

Abstract


A method for studying the resilience of energy and socio-ecological systems is considered; it integrates approaches developed at the International Institute of Applied Systems Analysis and the Melentyev Institute of Energy Systems (MESI) of the Siberian Branch of the Russian Academy of Sciences. The article discusses in detail the methods of using intelligent information technologies, in particular semantic technologies and knowledge engineering (cognitive probabilistic modeling), which the authors propose to use in assessing the risks of natural and man-made threats to the resilience of the energy sector and social and ecological systems. More attention is paid to the study and adaptation of the integral indicator of quality of life, which makes it possible to combine these interdisciplinary studies.


Keywords


risk assessment; the quality of life; energy and environmental safety; ontology; cognitive and probabilistic modeling; Bayesian Belief Network; machine learning

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References


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DOI: https://doi.org/10.24294/jipd.v8i7.4700

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