Effect of Working Fluids on the Performance of Ocean Thermal Energy Conversion Based Hybrid Systems Using Machine Learning Approach.

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Title: Effect of Working Fluids on the Performance of Ocean Thermal Energy Conversion Based Hybrid Systems Using Machine Learning Approach.
Authors: Kamfar, Hadi1, Shojaeian, Abolfazl2 ab.shojaeian@gmail.com, Seyf, Jaber Yousefi2, Hajialigol, Najmeh3
Source: Journal of Renewable Energy & Environment (JREE). Jul2025, Vol. 12 Issue 3, p21-35. 15p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 188226407
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Effect of Working Fluids on the Performance of Ocean Thermal Energy Conversion Based Hybrid Systems Using Machine Learning Approach.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Renewable+Energy+%26+Environment+%28JREE%29%22">Journal of Renewable Energy & Environment (JREE)</searchLink>. Jul2025, Vol. 12 Issue 3, p21-35. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=188226407
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.30501/jree.2025.491739.2193
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: Effect of Working Fluids on the Performance of Ocean Thermal Energy Conversion Based Hybrid Systems Using Machine Learning Approach.
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            NameFull: Kamfar, Hadi
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            NameFull: Shojaeian, Abolfazl
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            NameFull: Seyf, Jaber Yousefi
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            – D: 01
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              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 12
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