Resilience of socio-ecological and energy systems
Intelligent information technologies for risk assessment of natural and technogenic threats
Bibliographic Data
| ID | 22188215 |
|---|---|
| Authors | Lyudmila Massel, Liudmila Massel (0000-0002-9088-9012, Melentiev Energy Systems Institute), Nadejda Komendantova (0000-0003-2568-6179, International Institute for Applied Systems Analysis), Aleksei Massel (0000-0002-0351-0415, Melentiev Energy Systems Institute), Anna Tsvetkova (0000-0002-5575-5625), A B Tsvetkova (Saint Petersburg Mining University), Konstantin Zaikov (0000-0001-6479-416X, Northern (Arctic) Federal University), Oksana Marinina (0000-0002-7950-197X, Saint Petersburg Mining University) |
| Year | 2024 |
| Volume | 8 |
| Issue | 7 |
| Pages | 4700 |
| Publication date | 2024-07-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd.v8i7.4700 |
| OpenAlex | W4401150150 |
| Language | EN |
| References cited | 2 |
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
Biology · Business · Computer security · Ecological systems theory · Environmental planning · Environmental resource management · Geography · Risk assessment · Computer Science · Economic and Technological Systems Analysis · Environmental Science · Ecology
| Highly cited | No |
|---|