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Identification of pre-emergency states in the electric power system on the basis of machine learning technologies

... proposes a concept of an intelligent system for early detection of pre-emergency state in electric power system as an option of preventive operation and emergency control. The main goal of such a system is to early warn and prevent dangerous states and emergency situations before they lead to a system blackout. Consideration is given to a construction principle of systems for security monitoring and assessment on the basis of machine learning algorithms. The feasibility of the approach in a proof-of-concept ...

Теги: artificial intelligence , electric power systems , intelligent control , intelligent systems , learning algorithms , learning systems , construction principle , emergency control , emergency situation , emerge
Раздел: ИСЭМ СО РАН


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