Short-Term Photovoltaic Power Prediction Based on SCC-CEEMDAN-HO-BiLSTM.

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Bibliographic Details
Title: Short-Term Photovoltaic Power Prediction Based on SCC-CEEMDAN-HO-BiLSTM.
Authors: Liang, Jianwei1, Yue, Jie1, Xin, Yanli2, yanlixin@gpnu.edu.cn, Pan, Shuxin1, Tian, Jiaming1, Sun, Jingxuan1
Source: Progress in Electromagnetics Research C; 2026, Vol. 164, p58-68, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 191361184
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PubType: Academic Journal
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  Data: Short-Term Photovoltaic Power Prediction Based on SCC-CEEMDAN-HO-BiLSTM.
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  Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>; 2026, Vol. 164, p58-68, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191361184
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        Value: 10.2528/PIERC25101401
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 58
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      – TitleFull: Short-Term Photovoltaic Power Prediction Based on SCC-CEEMDAN-HO-BiLSTM.
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            NameFull: Yue, Jie
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            NameFull: Xin, Yanli
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            NameFull: Tian, Jiaming
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 164
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            – TitleFull: Progress in Electromagnetics Research C
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