TY - JFULL AU - Wael M. El-Mamlouk and Metwally A. El-Sharkawy and Hossam. E. Mostafa PY - 2009/10/ TI - Testing the Accuracy of ML-ANN for Harmonic Estimation in Balanced Industrial Distribution Power System T2 - International Journal of Electrical and Computer Engineering SP - 1720 EP - 1727 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/9322 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 33, 2009 N2 - In this paper, we analyze and test a scheme for the estimation of electrical fundamental frequency signals from the harmonic load current and voltage signals. The scheme was based on using two different Multi Layer Artificial Neural Networks (ML-ANN) one for the current and the other for the voltage. This study also analyzes and tests the effect of choosing the optimum artificial neural networks- sizes which determine the quality and accuracy of the estimation of electrical fundamental frequency signals. The simulink tool box of the Matlab program for the simulation of the test system and the test of the neural networks has been used. ER -