| contributor author | Greenwood, David Michael | |
| contributor author | Taylor, Philip Charles | |
| date accessioned | 2020-03-13T00:33:20Z | |
| date available | 2020-03-13T00:33:20Z | |
| date issued | 2014 | |
| identifier issn | 1751-8687 | |
| identifier other | 6985774.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1150946?show=full | |
| format | general | |
| language | English | |
| publisher | IET | |
| title | Unlocking the benefits of real-time thermal ratings through probabilistic power network planning | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8334429 | |
| subject keywords | power distribution planning | |
| subject keywords | power system security | |
| subject keywords | power transmission planning | |
| subject keywords | probability | |
| subject keywords | RTTR | |
| subject keywords | demand side management | |
| subject keywords | distributed generator | |
| subject keywords | electrical conductor | |
| subject keywords | energy storage | |
| subject keywords | power outage | |
| subject keywords | probabilistic power network planning | |
| subject keywords | real-time thermal rating | |
| subject keywords | real-time weather condition | |
| subject keywords | security | |
| identifier doi | 10.1049/iet-gtd.2014.0043 | |
| journal title | Generation, Transmission & Distribution, IET | |
| journal volume | 8 | |
| journal issue | 12 | |
| filesize | 923594 | |
| citations | 0 | |
