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Study on reliability improvement possibilities assuming probabilistic wind generation

contributor authorLvovs, A.
contributor authorPriedite, I.
date accessioned2020-03-12T21:50:27Z
date available2020-03-12T21:50:27Z
date issued2014
identifier other6960604.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1062359?show=full
formatgeneral
languageEnglish
publisherIEEE
titleStudy on reliability improvement possibilities assuming probabilistic wind generation
typeConference Paper
contenttypeMetadata Only
identifier padid8194333
subject keywordsformal specification
subject keywordsn genetic algorithms
subject keywordsn grammars
subject keywordsn program debugging
subject keywordsn software fault tolerance
subject keywordsn bug reports
subject keywordsn complex grammar based input
subject keywordsn faulty program
subject keywordsn field failure reproduction
subject keywordsn formal specification
subject keywordsn grammar-guided genetic programming
subject keywordsn in-house debugging
subject keywordsn legal inputs
subject keywordsn Grammar
subject keywordsn Instruments
subject keywordsn Production
subject keywordsn Search problems
subject keywordsn Sociology
subject keywordsn Statistics
subject keywordsn Trajectory
subject keywordsn Field failures
subject keywordsn failure reproduction
subject keywordsn genetic progr
identifier doi10.1109/ICST.2014.29
journal titlerobabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
filesize842086
citations0


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