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An Integrated Framework of Feature Engineering and Machine Learning for Large-Scale Energy Anomaly Detection.

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Title: An Integrated Framework of Feature Engineering and Machine Learning for Large-Scale Energy Anomaly Detection.
Authors: Buaprakhong, Thanyapisit1, Sithisint, Varintorn1, Phusaensaart, Awirut1, Wilke, Sinthon1, Boonchuntuk, Thatsamaphon1, Ganokratanaa, Thittaporn1, thittaporn.gan@kmutt.ac.th, Ketcham, Mahasak2
Source: Energy Engineering; 2026, Vol. 123 Issue 3, p1-35, 35p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192156329
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: An Integrated Framework of Feature Engineering and Machine Learning for Large-Scale Energy Anomaly Detection.
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  Data: <searchLink fieldCode="JN" term="%22Energy+Engineering%22">Energy Engineering</searchLink>; 2026, Vol. 123 Issue 3, p1-35, 35p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192156329
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.32604/ee.2026.069004
    Languages:
      – Code: eng
        Text: English
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        PageCount: 35
        StartPage: 1
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      – TitleFull: An Integrated Framework of Feature Engineering and Machine Learning for Large-Scale Energy Anomaly Detection.
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            NameFull: Buaprakhong, Thanyapisit
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            NameFull: Sithisint, Varintorn
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            NameFull: Phusaensaart, Awirut
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            NameFull: Wilke, Sinthon
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            NameFull: Boonchuntuk, Thatsamaphon
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            NameFull: Ganokratanaa, Thittaporn
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            NameFull: Ketcham, Mahasak
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            – D: 01
              M: 03
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: Energy Engineering
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