A suite of intelligent tools for early detection and prevention of blackouts in power interconnections

DOI10.1134/S0005117918100016zbMath1407.93295MaRDI QIDQ1716745

D. N. Efimov, D. A. Panasetsky, A. B. Osak, N. I. Voropai, Victor Grigorevich Kurbatsky, Alekseĭ Vital'evich Zhukov, Nikita Viktorovich Tomin, Denis Nikolaevich Sidorov

Publication date: 5 February 2019

Published in: Automation and Remote Control (Search for Journal in Brave)

zbMATH Keywords

machine learningelectric power systems\(L\)-indexvoltage collapseagent modelingemergency automatics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Control/observation systems governed by partial differential equations (93C20) Stochastic programming (90C15) Application models in control theory (93C95) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (1)

The concept of constructing an artificial dispatcher intelligent system based on deep reinforcement learning for the automatic control system of electric networks

Cites Work

• Random Forests and Kernel Methods
• Modification of Random Forest Based Approach for Streaming Data with Concept Drift
• Extremely randomized trees

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