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A Novel Predictive Control Approach Based on Hybrid Deep Learning Algorithm for Photovoltaic Power Forecasting in Microgrid.

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Title: A Novel Predictive Control Approach Based on Hybrid Deep Learning Algorithm for Photovoltaic Power Forecasting in Microgrid.
Authors: Kakeu, Vinny Junior Foba1, kakeuvinny@gmail.com, Souhe, Felix Ghislain Yem1,2, Eke, Samuel1,3, Mbey, Camille Franklin1, Boum, Alexandre Teplaira1, Mishra, Pramita, pmishra@wiley.com
Source: Journal of Electrical & Computer Engineering; 7/22/2026 6, Vol. 2026, p1-23, 23p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A Novel Predictive Control Approach Based on Hybrid Deep Learning Algorithm for Photovoltaic Power Forecasting in Microgrid.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electrical+%26+Computer+Engineering%22">Journal of Electrical & Computer Engineering</searchLink>; 7/22/2026 6, Vol. 2026, p1-23, 23p
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      – Type: doi
        Value: 10.1155/jece/1560939
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: A Novel Predictive Control Approach Based on Hybrid Deep Learning Algorithm for Photovoltaic Power Forecasting in Microgrid.
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            NameFull: Kakeu, Vinny Junior Foba
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            NameFull: Souhe, Felix Ghislain Yem
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            NameFull: Boum, Alexandre Teplaira
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              M: 07
              Text: 7/22/2026 6
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              Y: 2026
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