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A New Approach to Load Shedding Prediction in GECOL Using Deep Learning Neural Network

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dc.contributor.authorAbusida, AM
dc.contributor.authorHancerliogullari, A
dc.date.accessioned2023-04-19T00:47:08Z
dc.date.available2023-04-19T00:47:08Z
dc.date.issued2022.01.01
dc.identifier.doi10.22937/IJCSNS.2022.22.3.28
dc.identifier.eissn
dc.identifier.endpage228
dc.identifier.issn1738-7906
dc.identifier.issue3
dc.identifier.startpage220
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000766697800003&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/11080
dc.identifier.volume22
dc.identifier.wosWOS:000766697800003
dc.relation.ispartofINTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY
dc.titleA New Approach to Load Shedding Prediction in GECOL Using Deep Learning Neural Network
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWosae5af6b3-51e2-4f4b-8892-c2da6b583d61
relation.isPublicationOfWos.latestForDiscoveryae5af6b3-51e2-4f4b-8892-c2da6b583d61

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