... decomposed into orthogonal basis functions using the Hilbert-Huang transform. The hybrid-genetic algorithm is applied to optimal training of the support vector machine and artificial neural network. The results of applying the 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 ...
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
