Voltage stability factor prediction in power system using artificial neural network / Norlida Musa
This thesis presents the applications of artificial neural network (ANN) to predict the voltage stability level of power system network. Two types of neural network have been used i.e. Back-propagation and Radial Basis Function Network. Both ANN models developed have three layers i.e. input layer, h...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
1998
|
| Online Access: | https://ir.uitm.edu.my/id/eprint/103431/1/103431.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|