Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data.

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Title: Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data.
Authors: Ata, Mohamed Maher1 (AUTHOR) momaher@zewailcity.edu.eg, Osama, Shorok2 (AUTHOR), Ibraheem, Mai Ramadan3 (AUTHOR), Abas, Ahmed R.2 (AUTHOR)
Source: Scientific Reports. 3/21/2026, Vol. 16 Issue 1, p1-28. 28p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 3/21/2026, Vol. 16 Issue 1, p1-28. 28p.
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        Value: 10.1038/s41598-026-41571-7
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        Text: English
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      – TitleFull: Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data.
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