环境条件和训练算法对基于NARX的光伏板输出预测方法效率的影响

Q3 Engineering International Journal for Engineering Modelling Pub Date : 2020-01-01 DOI:10.31534/engmod.2020.3-4.ri.02f

Toufik Sebbagh, Ridha Kelaiaia, A. Kerboua, Abderrazak Metatla, A. Zaatri

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引用次数: 1

摘要

环境条件和训练算法对基于NARX的光伏面板输出预测方法效率的影响Toufik Sebbagh(1*)， Ridha Kelaiaia(1)， Adlen Kerboua(1)， Abderrazak Metatla(1)， Abdelouahab Zaatri(2) (1) LGMM实验室，20 ao大学1955 Skikda, Po B 26, Skikda, 21000，阿尔及利亚e-邮件:t.sebbagh@univ-skikda.dz (2) Constantine大学1,Constantine, 25000，阿尔及利亚

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Effect of Environmental Conditions and Training Algorithms on the Efficiency of a NARX Based Approach to Predict PV Panel Power Output

ENGINEERING MODELLING 33 (2020) 3-4, 27-44 27 Effect of Environmental Conditions and Training Algorithms on the Efficiency of a NARX Based Approach to Predict PV Panel Power Output Toufik Sebbagh(1*), Ridha Kelaiaia(1), Adlen Kerboua(1), Abderrazak Metatla(1), Abdelouahab Zaatri(2) (1) LGMM Laboratory, University of 20 Août 1955 Skikda, Po B 26, Skikda, 21000, ALGERIA e-mail: t.sebbagh@univ-skikda.dz (2) University of Constantine 1, Constantine, 25000, ALGERIA

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来源期刊

International Journal for Engineering Modelling Engineering-Mechanical Engineering

CiteScore

0.90

自引率

0.00%

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期刊介绍： Engineering Modelling is a refereed international journal providing an up-to-date reference for the engineers and researchers engaged in computer aided analysis, design and research in the fields of computational mechanics, numerical methods, software develop-ment and engineering modelling.