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ANALYSING THE ELECTRICITY LOAD AND PRODUCTION BY MEANS OF DIFFERENT MACHINE LEARNING METHODS: A CASE STUDY OF A MG SYSTEM.

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Title: ANALYSING THE ELECTRICITY LOAD AND PRODUCTION BY MEANS OF DIFFERENT MACHINE LEARNING METHODS: A CASE STUDY OF A MG SYSTEM.
Authors: Islam, Saiful1, saiful.islam@srh.de, Suaad, Amin2, Hartmann, Michael1, Rafajlovski, Goran1,3
Source: International Journal on Information Technologies & Security; 2024, Vol. 16 Issue 3, p101-110, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179603951
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PubType: Academic Journal
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  Data: ANALYSING THE ELECTRICITY LOAD AND PRODUCTION BY MEANS OF DIFFERENT MACHINE LEARNING METHODS: A CASE STUDY OF A MG SYSTEM.
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  Data: <searchLink fieldCode="AU" term="%22Islam%2C+Saiful%22">Islam, Saiful</searchLink><relatesTo>1</relatesTo>, <i>saiful.islam@srh.de</i><br /><searchLink fieldCode="AU" term="%22Suaad%2C+Amin%22">Suaad, Amin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Hartmann%2C+Michael%22">Hartmann, Michael</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Rafajlovski%2C+Goran%22">Rafajlovski, Goran</searchLink><relatesTo>1,3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+on+Information+Technologies+%26+Security%22">International Journal on Information Technologies & Security</searchLink>; 2024, Vol. 16 Issue 3, p101-110, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179603951
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 101
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      – TitleFull: ANALYSING THE ELECTRICITY LOAD AND PRODUCTION BY MEANS OF DIFFERENT MACHINE LEARNING METHODS: A CASE STUDY OF A MG SYSTEM.
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            NameFull: Islam, Saiful
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            NameFull: Suaad, Amin
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            NameFull: Hartmann, Michael
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            NameFull: Rafajlovski, Goran
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              Text: 2024
              Type: published
              Y: 2024
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              Value: 16
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              Value: 3
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            – TitleFull: International Journal on Information Technologies & Security
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