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A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions

Author:
Bonanno, F. , Capizzi, G. , Sciuto, G.L. , Napoli, C. , Pappalardo, G. , Tramontana, E.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/eScience.2014.44
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1015629
Keyword(s): Communities,Correlation,Engines,Estimation,Generators,Monitoring,Runtime,Scientific Workflows,Workflow Simulation,Workload Archive,Workload Profiling and Characterization
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    A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions

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date accessioned2020-03-12T20:28:02Z
date available2020-03-12T20:28:02Z
date issued2014
identifier other6872127.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1015629?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleA novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions
typeConference Paper
contenttypeMetadata Only
identifier padid8139329
subject keywordsCommunities
subject keywordsCorrelation
subject keywordsEngines
subject keywordsEstimation
subject keywordsGenerators
subject keywordsMonitoring
subject keywordsRuntime
subject keywordsScientific Workflows
subject keywordsWorkflow Simulation
subject keywordsWorkload Archive
subject keywordsWorkload Profiling and Characterization
identifier doi10.1109/eScience.2014.44
journal titleower Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium o
filesize1035721
citations2
contributor rawauthorBonanno, F. , Capizzi, G. , Sciuto, G.L. , Napoli, C. , Pappalardo, G. , Tramontana, E.
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