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Application of soft sensor modeling based on SSA-CNN-LSTM in solar thermal power collection subsystem.

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Title: Application of soft sensor modeling based on SSA-CNN-LSTM in solar thermal power collection subsystem.
Authors: Xiaojuan, LU1, luxj@mail.lzjtu.cn, Yaohui, ZHANG1, Duojin, FAN2, Linggang, KONG2, Zhiyong, ZHANG2
Source: Journal of Measurement Science & Instrumentation; Dec2025, Vol. 16 Issue 4, p505-514, 10p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 190833609
AccessLevel: 2
PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Measurement+Science+%26+Instrumentation%22">Journal of Measurement Science & Instrumentation</searchLink>; Dec2025, Vol. 16 Issue 4, p505-514, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190833609
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        Value: 10.62756/jmsi.1674-8042.2025049
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 505
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      – TitleFull: Application of soft sensor modeling based on SSA-CNN-LSTM in solar thermal power collection subsystem.
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            NameFull: Xiaojuan, LU
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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