DocumentCode
3636036
Title
Application of artificial neural networks for estimation of some quantities in electrical networks
Author
Zbigniew Wacławek
Author_Institution
Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Poland
fYear
2010
fDate
5/1/2010 12:00:00 AM
Firstpage
148
Lastpage
150
Abstract
A method to estimate power quality parameters using artificial neural network is presented. This method, useful when the full and exact information about the low voltage network parameters and consumer structure isn´t available, is illustrated by the estimation of the voltage drop. Various kinds of neural networks were tested to select the best ones. Computer simulation results confirm validity of proposed solution.
Keywords
"Artificial neural networks","Testing","Low voltage","Vectors","Parameter estimation","Power quality","Computer simulation","Economic forecasting","Backpropagation algorithms","Customer service"
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
Print_ISBN
978-1-4244-5370-2
Type
conf
DOI
10.1109/EEEIC.2010.5489952
Filename
5489952
Link To Document