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Modeling and control of flexible HEV charging station upgraded with flywheel energy storage

Author:
Dragicevic, T. , Shafiee, Q. , Dan Wu , Lexuan Meng , Vasquez, J.C. , Guerrero, J.M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICCCNT.2014.6963042
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/987977
Keyword(s): computational complexity,pattern clustering,AGNES,DBSCAN,MMACA,atomic nucleus set,density clustering algorithms,hierarchical clustering algorithm,initial cluster centers,k-center,k-means algorithm,large-scale numerical data calculation,local noise atomic concentration,multilayer multicenter atom set cohesion clustering algorithm,partition clustering algorithms,separation degree,space complexity,time complexity,Atomic layer deposition,Atomic measurements,Clustering algorithms
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    Modeling and control of flexible HEV charging station upgraded with flywheel energy storage

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date accessioned2020-03-12T19:44:04Z
date available2020-03-12T19:44:04Z
date issued2014
identifier other6808864.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/987977
formatgeneral
languageEnglish
publisherIEEE
titleModeling and control of flexible HEV charging station upgraded with flywheel energy storage
typeConference Paper
contenttypeMetadata Only
identifier padid8104063
subject keywordscomputational complexity
subject keywordspattern clustering
subject keywordsAGNES
subject keywordsDBSCAN
subject keywordsMMACA
subject keywordsatomic nucleus set
subject keywordsdensity clustering algorithms
subject keywordshierarchical clustering algorithm
subject keywordsinitial cluster centers
subject keywordsk-center
subject keywordsk-means algorithm
subject keywordslarge-scale numerical data calculation
subject keywordslocal noise atomic concentration
subject keywordsmultilayer multicenter atom set cohesion clustering algorithm
subject keywordspartition clustering algorithms
subject keywordsseparation degree
subject keywordsspace complexity
subject keywordstime complexity
subject keywordsAtomic layer deposition
subject keywordsAtomic measurements
subject keywordsClustering algorithms
identifier doi10.1109/ICCCNT.2014.6963042
journal titleulti-Conference on Systems, Signals & Devices (SSD), 2014 11th International
filesize2113437
citations0
contributor rawauthorDragicevic, T. , Shafiee, Q. , Dan Wu , Lexuan Meng , Vasquez, J.C. , Guerrero, J.M.
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