Intelligent power management strategy of hybrid distributed generation system using artificial neural networks
| 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?show=full | |
| 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 |
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