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Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems.

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Title: Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems.
Authors: Bermeo-Ayerbe, Miguel Angel1,2, miguel.angel.bermeo@upc.edu, Ocampo-Martinez, Carlos1, carlos.ocampo@upc.edu, Diaz-Rozo, Javier2, jdiaz@ainguraiiot.com
Source: Energy; Jan2022:Part B, Vol. 238, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 153598749
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.energy.2021.121691
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems.
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            NameFull: Bermeo-Ayerbe, Miguel Angel
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            NameFull: Ocampo-Martinez, Carlos
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            NameFull: Diaz-Rozo, Javier
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            – D: 05
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              Text: Jan2022:Part B
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              Y: 2022
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              Value: 238
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