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• W2897572404 abstract "We propose a suite of intelligent tools based on the integration of methods of agent modeling and machine learning for the improvement of protection systems and emergency automatics. We propose an online approach to the assessment and management of dynamic security of electric power systems (EPS) with the use of a streaming modification of the random forest algorithm. The suite allows to recognize dangerous modes of complex closed-loop EPS, preventing the risk of emergencies on early stages. We show results of experimental tests on IEEE test systems." @default.
• W2897572404 created "2018-10-26" @default.
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• W2897572404 date "2018-01-01" @default.
• W2897572404 modified "2023-09-27" @default.
• W2897572404 title "A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections" @default.
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• W2897572404 doi "https://doi.org/10.31857/s000523100001845-3" @default.
• W2897572404 hasPublicationYear "2018" @default.
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