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An Approach for Assessing the Effectiveness of Multiple-Feature-Based SVM Method for Islanding Detection of Distributed Generation

contributor authorAlam, Mohammad Rafiqul
contributor authorMuttaqi, Kashem M.
contributor authorBouzerdoum, Abdesselam
date accessioned2020-03-12T18:40:43Z
date available2020-03-12T18:40:43Z
date issued2014
identifier issn0093-9994
identifier other6712904.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/966562?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Approach for Assessing the Effectiveness of Multiple-Feature-Based SVM Method for Islanding Detection of Distributed Generation
typeJournal Paper
contenttypeMetadata Only
identifier padid8000387
subject keywordsdistributed power generation
subject keywordspower distribution protection
subject keywordspower system analysis computing
subject keywordssupport vector machines
subject keywordsdistributed generation
subject keywordsdistribution grids
subject keywordsislanding detection
subject keywordsmultifeature based SVM classification
subject keywordsnetwork contingency
subject keywordspower distribution protection
subject keywordspower imbalance
subject keywordssupport vector machines
subject keywordsvector surge
subject keywordsFeature extraction
subject keywordsKernel
subject keywordsRotors
subject keywordsStandards
subject keywordsSupport vector machines
subject keywordsTraining
subject keywordsTraining data
subject keywordsDistributed generation
subject keywordsDistributed generation (DG)
subject keywordsdistribution system
identifier doi10.1109/TIA.2014.2300135
journal titleIndustry Applications, IEEE Transactions on
journal volume50
journal issue4
filesize663563
citations0


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