Intelligent power management strategy of hybrid distributed generation system using artificial neural networks
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سال
: 2014شناسه الکترونیک: 10.1109/CICED.2014.6991878
کلیدواژه(گان): Area measurement,Biology,Electromagnetics,Frequency conversion,Hazards,Power grids,Risk management,EMF risk,advice,communication
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Intelligent power management strategy of hybrid distributed generation system using artificial neural networks
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date accessioned | 2020-03-12T20:29:30Z | |
date available | 2020-03-12T20:29:30Z | |
date issued | 2014 | |
identifier other | 6873846.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1016400 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Intelligent power management strategy of hybrid distributed generation system using artificial neural networks | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8140250 | |
subject keywords | Area measurement | |
subject keywords | Biology | |
subject keywords | Electromagnetics | |
subject keywords | Frequency conversion | |
subject keywords | Hazards | |
subject keywords | Power grids | |
subject keywords | Risk management | |
subject keywords | EMF risk | |
subject keywords | advice | |
subject keywords | communication | |
identifier doi | 10.1109/CICED.2014.6991878 | |
journal title | nnovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE | |
filesize | 533637 | |
citations | 0 |