Optimal power control in Renewable Energy sources using Intelligence algorithm.

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第一作者： Sakthivel,S

第一单位： Department of Electronics and Communication Engineering, Suguna College of Engineering, Nehru Nagar, Coimbatore, Tamilnadu, 641014, India.

作者： Sakthivel,S ^[1] ; Dr Giftson,Samuel G ^[2]

作者单位： Department of Electronics and Communication Engineering, Suguna College of Engineering, Nehru Nagar, Coimbatore, Tamilnadu, 641014, India. ^[1] Department of Electrical and Electronics Engineering, Sir Issac Newton College of Engineering and Technology, Pappakoil , Nagapattinam, Tamilnadu, 611102, India. ^[2]

关键词 Adaptive neuro-fuzzy inference system Artificial neural network Hybrid renewable energy system Sliding mode control Xilinx power management system

DOI 10.1016/j.heliyon.2023.e19724

PMID 37809721

发布时间 2023-10-30

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Heliyon

2023年9卷9期

e19724页

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Optimal power control in Renewable Energy sources using Intelligence algorithm.

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Optimal power control in Renewable Energy sources using Intelligence algorithm.

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