Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/CVPR.2014.472
کلیدواژه(گان): Adaptation models,n Computational modeling,n Deformable models,n Detectors,n Face detection,n Standards,n Training
کالکشن
:
-
آمار بازدید
Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms
Show full item record
contributor author | Farag, Hany E.Z. | |
contributor author | El-Saadany, Ehab F. | |
date accessioned | 2020-03-12T22:54:25Z | |
date available | 2020-03-12T22:54:25Z | |
date issued | 2014 | |
identifier other | 7028929.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1098719 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8240025 | |
subject keywords | Adaptation models | |
subject keywords | n Computational modeling | |
subject keywords | n Deformable models | |
subject keywords | n Detectors | |
subject keywords | n Face detection | |
subject keywords | n Standards | |
subject keywords | n Training | |
identifier doi | 10.1109/CVPR.2014.472 | |
journal title | nnovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES | |
filesize | 242001 | |
citations | 0 |