@article{(Open Science Index):https://publications.waset.org/pdf/9322,
	  title     = {Testing the Accuracy of ML-ANN for Harmonic Estimation in Balanced Industrial Distribution Power System},
	  author    = {Wael M. El-Mamlouk and  Metwally A. El-Sharkawy and  Hossam. E. Mostafa},
	  country	= {},
	  institution	= {},
	  abstract     = {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
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.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {1721 - 1727},
	  ee        = {https://publications.waset.org/pdf/9322},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},