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Predicting Power Consumption of Cryogenic Compressors using Multiple Linear Regression in Machine Learning.

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Title: Predicting Power Consumption of Cryogenic Compressors using Multiple Linear Regression in Machine Learning.
Authors: Hashim, Muhammad Fikri1, Zulkafli, Nur Izyan1, nurizyan@utem.edu.my, Sulaima, Mohamad Fani2, Jali, Mohd Hafiz2, Izzuddin, Tarmizi Ahmad2, Jayiddin, Nur Saleha3, Lasin, Azmi Md3, Iskandar, M. Tarmidzi3
Source: CET Journal - Chemical Engineering Transactions; 2025, Vol. 122, p235-240, 6p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191688026
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting Power Consumption of Cryogenic Compressors using Multiple Linear Regression in Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22CET+Journal+-+Chemical+Engineering+Transactions%22">CET Journal - Chemical Engineering Transactions</searchLink>; 2025, Vol. 122, p235-240, 6p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191688026
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      – Type: doi
        Value: 10.3303/CET25122040
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 235
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      – TitleFull: Predicting Power Consumption of Cryogenic Compressors using Multiple Linear Regression in Machine Learning.
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            NameFull: Hashim, Muhammad Fikri
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            NameFull: Zulkafli, Nur Izyan
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            NameFull: Sulaima, Mohamad Fani
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            NameFull: Izzuddin, Tarmizi Ahmad
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            NameFull: Jayiddin, Nur Saleha
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            NameFull: Lasin, Azmi Md
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              Text: 2025
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              Value: 122
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            – TitleFull: CET Journal - Chemical Engineering Transactions
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