RETRACTED: Artificial neural networks applications in wind energy systems: a review

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2015.04.166 ◽

2015 ◽

Vol 49 ◽

pp. 534-562 ◽

Author(s):

Rasit Ata

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Energy ◽

Energy Systems ◽

Artificial Neural ◽

Wind Energy Systems

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Retraction notice to “Artificial neural networks applications in wind energy systems: A review” [Renew Sustain Energy Rev (2015) 534−62]

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2018.01.003 ◽

2018 ◽

Vol 84 ◽

pp. 173

Author(s):

Rasit Ata

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Energy ◽

Energy Systems ◽

Artificial Neural ◽

Retraction Notice ◽

Wind Energy Systems

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Artificial neural networks as the data ruling components of future intelligent energy systems

MATEC Web of Conferences ◽

10.1051/matecconf/201714101049 ◽

2017 ◽

Vol 141 ◽

pp. 01049

Author(s):

Anna Buran ◽

Maksim Denisov

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Energy Systems ◽

Artificial Neural

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An application of artificial neural networks to assessment of the wind energy potential in Libya

2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) ◽

10.1109/setit.2016.7939904 ◽

2016 ◽

Author(s):

Hakan Kutucu ◽

Ayad Almryad

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Energy ◽

Energy Potential ◽

Wind Energy Potential ◽

Artificial Neural

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Wind Energy Conversion Systems and Artificial Neural Networks: Role and Applications

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) ◽

10.1109/isgt-asia.2019.8881404 ◽

2019 ◽

Author(s):

Jaber Alshehri ◽

Ahmed Alzahrani ◽

Muhammad Khalid

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Energy ◽

Energy Conversion ◽

Wind Energy Conversion ◽

Wind Energy Conversion Systems ◽

Energy Conversion Systems ◽

Artificial Neural

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Optimal Estimation of Solar Radiation on Flat Surfaces for the Design of Energy Systems using Artificial Neural Networks

2019 IEEE Sciences and Humanities International Research Conference (SHIRCON) ◽

10.1109/shircon48091.2019.9024856 ◽

2019 ◽

Author(s):

Franklin Alfredo Cabezas Huerta ◽

Fermin Rafael Cabezas Soldevilla ◽

Alexi Delgado ◽

Ch. Carbajal

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Solar Radiation ◽

Energy Systems ◽

Optimal Estimation ◽

Flat Surfaces ◽

Artificial Neural

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Applications of Artificial Neural Networks With Input and output Degradation data for Renewable Energy Systems Fault Prognosis

10.1109/irec52758.2021.9624894 ◽

2021 ◽

Author(s):

Arij Nasfia Hayder ◽

Lotfi Saidi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Renewable Energy ◽

Energy Systems ◽

Renewable Energy Systems ◽

Degradation Data ◽

Input And Output ◽

Fault Prognosis ◽

Artificial Neural

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Artificial neural networks in renewable energy systems applications: a review

Renewable and Sustainable Energy Reviews ◽

10.1016/s1364-0321(01)00006-5 ◽

2001 ◽

Vol 5 (4) ◽

pp. 373-401 ◽

Author(s):

Soteris A. Kalogirou

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Renewable Energy ◽

Energy Systems ◽

Renewable Energy Systems ◽

Artificial Neural

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Applications of artificial neural-networks for energy systems

Applied Energy ◽

10.1016/s0306-2619(00)00005-2 ◽

2000 ◽

Vol 67 (1-2) ◽

pp. 17-35 ◽

Author(s):

Soteris A. Kalogirou

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Energy Systems ◽

Artificial Neural

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A new MATLAB/Simulink model of triple-junction solar cell and MPPT based on artificial neural networks for photovoltaic energy systems

Ain Shams Engineering Journal ◽

10.1016/j.asej.2015.03.001 ◽

2015 ◽

Vol 6 (3) ◽

pp. 873-881 ◽

Author(s):

Hegazy Rezk ◽

El-Sayed Hasaneen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Triple Junction ◽

Energy Systems ◽

Matlab Simulink ◽

Photovoltaic Energy ◽

Junction Solar Cell ◽

Simulink Model ◽

Artificial Neural

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Daily Average Wind Energy Forecasting Using Artificial Neural Networks

Procedia Engineering ◽

10.1016/j.proeng.2017.02.474 ◽

2017 ◽

Vol 181 ◽

pp. 829-836 ◽

Author(s):

Cristian-Dragos Dumitru ◽

Adrian Gligor

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Energy ◽

Energy Forecasting ◽

Daily Average ◽

Average Wind ◽

Artificial Neural

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