An efficient maximum power point tracking in hybrid solar and wind energy system: A combined MDA-RNN technique-Reference-Cited by-同舟云学术

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An efficient maximum power point tracking in hybrid solar and wind energy system: A combined MDA-RNN technique

Published:2019-10-25 Issue:4 Volume:37 Page:5495-5514
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Nair Shyni P.¹,Mary Linda M.²

Affiliation:

1. Research Scholar, Electrical and Electronics Engineering Department, Ponjesly College of Engineering, Nagercoil, India

2. Professor and Head of the Department, Electrical and Electronics Engineering Department, Ponjesly College of Engineering, Nagercoil, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference48 articles.

1. A prediction model-guided jaya algorithm for the PV system maximum power point tracking;Huang;IEEE Transactions on Sustainable Energy,2018

2. A reduced voltage range global maximum power point tracking algorithm for photovoltaic systems under partial shading conditions;Furtado;IEEE Transactions on Industrial Electronics,2018

3. Design guidelines for multiloop perturbative maximum power point tracking algorithms;Kivimaki;IEEE Transactions on Power Electronics,2018

4. High performance of maximum power point tracking using ant colony algorithm in wind turbine;Mokhtari;Renewable Energy,2018

5. MPPT control of wind turbines by direct adaptive fuzzy-PI controller and using ANN-PSO wind speed estimator;Sabzevari;Journal of Renewable and Sustainable Energy,2017

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4. An improved intelligent technique for maximum power point tracking under partial shading conditions of photo voltaic system;Journal of Intelligent & Fuzzy Systems;2022-11-11

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