An Approach for Assessing the Effectiveness of Multiple-Feature-Based SVM Method for Islanding Detection of Distributed Generation
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سال
: 2014شناسه الکترونیک: 10.1109/TIA.2014.2300135
کلیدواژه(گان): distributed power generation,power distribution protection,power system analysis computing,support vector machines,distributed generation,distribution grids,islanding detection,multifeature based SVM classification,network contingency,power distribution protection,power imbalance,support vector machines,vector surge,Feature extraction,Kernel,Rotors,Standards,Support vector machines,Training,Training data,Distributed generation,Distributed generation (DG),distribution system
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An Approach for Assessing the Effectiveness of Multiple-Feature-Based SVM Method for Islanding Detection of Distributed Generation
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| contributor author | Alam, Mohammad Rafiqul | |
| contributor author | Muttaqi, Kashem M. | |
| contributor author | Bouzerdoum, Abdesselam | |
| date accessioned | 2020-03-12T18:40:43Z | |
| date available | 2020-03-12T18:40:43Z | |
| date issued | 2014 | |
| identifier issn | 0093-9994 | |
| identifier other | 6712904.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/966562?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An Approach for Assessing the Effectiveness of Multiple-Feature-Based SVM Method for Islanding Detection of Distributed Generation | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8000387 | |
| subject keywords | distributed power generation | |
| subject keywords | power distribution protection | |
| subject keywords | power system analysis computing | |
| subject keywords | support vector machines | |
| subject keywords | distributed generation | |
| subject keywords | distribution grids | |
| subject keywords | islanding detection | |
| subject keywords | multifeature based SVM classification | |
| subject keywords | network contingency | |
| subject keywords | power distribution protection | |
| subject keywords | power imbalance | |
| subject keywords | support vector machines | |
| subject keywords | vector surge | |
| subject keywords | Feature extraction | |
| subject keywords | Kernel | |
| subject keywords | Rotors | |
| subject keywords | Standards | |
| subject keywords | Support vector machines | |
| subject keywords | Training | |
| subject keywords | Training data | |
| subject keywords | Distributed generation | |
| subject keywords | Distributed generation (DG) | |
| subject keywords | distribution system | |
| identifier doi | 10.1109/TIA.2014.2300135 | |
| journal title | Industry Applications, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 4 | |
| filesize | 663563 | |
| citations | 0 |