Power system harmonics prediction with an artificial neural network
Haruki Mori, S. Suga · 1991
Describe an artificial neural net (ANN) based approach to prediction of power system harmonic voltages. The effectiveness of recurrent neural networks is examined. Recurrent neural networks have the advantage of being able to consider the dynamics of a time series, unlike the conventional feedforward ANN. Four recurrent neural networks are applied to prediction of the fifth harmonic voltage. A comparison is made of the four recurrent network models from the standpoint of accuracy and computational efforts.>