An artificial neural-net based method for predicting power system voltage harmonics

A novel method for predicting power system voltage harmonics with an artificial neural network is presented. The method is based on the backpropagation learning technique for feedforward neural networks. The promise of the proposed method in harmonics prediction is shown. In order to demonstrate its effectiveness, the proposed method is applied to voltage harmonics observed through a personal computer based measurement system and the performance is compared with that of conventional methods. >

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