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1 Ergebnisse
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نموذج لمراقبة أداء الطاقة الشمسية الكهروضوئية والتنبؤ الإحص..:
Kumaravel, G.
;
Kirthiga, S.
;
Al Shekaili, Mohammed Mahmood Hamed
.
Baghdad Science Journal. 21 (2024) 5(SI) - p. 1868 , 2024
Link:
https://doi.org/10.21123/bsj.2024.10736
RT Journal T1
نموذج لمراقبة أداء الطاقة الشمسية الكهروضوئية والتنبؤ الإحصائي باستخدام الشبكة العصبية متعددة الطبقات والذكاء الاصطناعي; A Solar Photovoltaic Performance Monitoring and Statistical Forecasting Model Using a Multi-Layer Feed-Forward Neural Network and Artificial Intelligence
UL https://suche.suub.uni-bremen.de/peid=cr-10.21123_bsj.2024.10736&Exemplar=1&LAN=DE A1 Kumaravel, G. A1 Kirthiga, S. A1 Al Shekaili, Mohammed Mahmood Hamed A1 AL Othmani, Qais Hamed Saif Abdullah PB College of Science for Women, University of Baghdad YR 2024 SN 2411-7986 SN 2078-8665 JF Baghdad Science Journal VO 21 IS 5(SI) SP 1868 LK http://dx.doi.org/https://doi.org/10.21123/bsj.2024.10736 DO https://doi.org/10.21123/bsj.2024.10736 SF ELIB - SuUB Bremen
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