....1109/PTC.2013.6652215 A problem of forecasting state variables of electric power system is studied. The paper suggests data-driven adaptive approach based on hybrid-genetic algorithm which combines the advantages of genetic algorithm and simulated annealing algorithm. The input signal is 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 ...
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
