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Optimal Training of Artificial Neural Networks to Forecast Power System State Variables., , , and . IJEOE, 3 (1): 65-82 (2014)Application of artificial intelligence technologies for monitoring large power interconnections., and . ICNC, page 1360-1365. IEEE, (2010)A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections., , , , , , , and . Automation and Remote Control, 79 (10): 1741-1755 (2018)Preventing Large-Scale Emergencies in Modern Power Systems: AI Approach., , and . JACIII, 18 (5): 714-727 (2014)Neural Multi-agent-based Approach for Preventing Blackouts in Power Systems., , , , , , and . ICAART (1), page 565-570. SciTePress, (2014)Smart Control in the Russian Electric Power System., , , and . SMARTGREENS, page 133-136. SciTePress, (2012)Ensemble Methods of Classification for Power Systems Security Assessment., , , , , and . CoRR, (2016)Operating conditions forecasting for monitoring and control of electric power systems., , , , , and . ISGT Europe, page 1-7. IEEE, (2010)A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations., , , , , , , and . CoRR, (2019)Smart Technologies in Emergency Control of Russia's Unified Energy System., , , , , , , , and . IEEE Trans. Smart Grid, 4 (3): 1732-1740 (2013)