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IJSTR >> Volume 9 - Issue 12, December 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Neural Network Prediction Parameters Quality Of Electrical Energy

[Full Text]

 

AUTHOR(S)

Huthaifa A. Al_Issa, Mohammad Qawaqzeh, O. Oleksandr Miroshnyk, Oleksandr Savchenko, Irina Trunova

 

KEYWORDS

neural network, forecasting, quality electrical energy.

 

ABSTRACT

A method for predicting physical parameters is proposed. The apparatus is considered and an analysis is made of the need to use a neural network for the problem of predicting the quality of electrical energy. The analysis and the structure of neural networks, which are expedient for using for the estimation and forecasting of the quality of electric energy, are chosen. Neural network models are constructed to calculate additional indicators of the quality of electrical energy. Also mathematical expressions for the description of neural networks and their work are given.

 

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