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Hybrid genetic algorithms for forecasting power systems state variables

... developed approach for the short-term forecasts of active power flows in the electric networks are presented. The best efficiency of proposed approach is demonstrated on real retrospective data of active power flow forecast using the hybrid-genetic support vector machine algorithm empowered with the Hilbert-Huang transform. © 2013 IEEE. входит

Теги: active power flow , ann , hilbert huang transforms , hybrid genetic algorithms , orthogonal basis function , short-term forecasts , simulated annealing algorithms , support vector machine algorithm , circuit
Раздел: ИСЭМ СО РАН


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