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Machine Learning for Geothermal Energy Systems: Prediction, Optimization, and Physics-Informed Hybrid Methods.

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Bibliographic Details
Title: Machine Learning for Geothermal Energy Systems: Prediction, Optimization, and Physics-Informed Hybrid Methods.
Authors: Zhang, Qingjun1,2 (AUTHOR), Gou, Li2,3,4 (AUTHOR), Xu, Lingling1,2,3 (AUTHOR)
Source: Energies (19961073). Jul2026, Vol. 19 Issue 13, p3193. 25p.
Database: Academic Search Ultimate
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An: 195441430
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  Data: Machine Learning for Geothermal Energy Systems: Prediction, Optimization, and Physics-Informed Hybrid Methods.
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2026, Vol. 19 Issue 13, p3193. 25p.
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        Value: 10.3390/en19133193
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 3193
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      – TitleFull: Machine Learning for Geothermal Energy Systems: Prediction, Optimization, and Physics-Informed Hybrid Methods.
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            NameFull: Zhang, Qingjun
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            NameFull: Gou, Li
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              Text: Jul2026
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              Y: 2026
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