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Research Output Details
| Negnevitsky, M and Tomin, N and Panasetsky, D and Haeger, U and Voropai, N and Rehtanz, C and Kurbatsky, V, “A neural multi-agent-based approach for preventing blackouts in power systems”, Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART 2014), 6-8 March, Angers, France, pp. 565-570. ISBN 978-989-758-015-4 (2014) [Refereed Conference Paper] | |
| Data Type | Value |
|---|---|
| Type of Research | Applied Research |
| Research Division | Engineering |
| Research Group | Electrical engineering |
| Research Field | Electrical energy generation (incl. renewables, excl. photovoltaics) |
| Research Objective Division | Energy |
| Research Objective Group | Energy storage, distribution and supply |
| Research Objective Field | Energy systems and analysis |
| Visit Item on eCite | http://ecite.utas.edu.au/97651 |
| Digital Object Identifier | doi:10.5220/0004906505650570 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |