An advanced intelligent MPPT control strategy based on the imperialist competitive algorithm and artificial neural networks-Reference-Cited by-同舟云学术

An advanced intelligent MPPT control strategy based on the imperialist competitive algorithm and artificial neural networks

Published:2023-02-20 Issue: Volume: Page:
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Ncir Noamane^ORCID,El Akchioui Nabil

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-023-00838-y.pdf

Reference75 articles.

1. Abdollahi M, Isazadeh A, Abdollahi D (2013) Imperialist competitive algorithm for solving systems of nonlinear equations. Comput Math Appl 65(12):1894–1908

2. Al-Shahri OA, Ismail FB, Hannan M et al (2021) Solar photovoltaic energy optimization methods, challenges and issues: a comprehensive review. J Clean Prod 284(125):465

3. Al-Showany EFA (2016) The impact of the environmental condition on the performance of the photovoltaic cell. Am J Energy Eng 4(1):1–7

4. Alonso-Montesinos J, Ballestrín J, López G et al (2021) The use of ANN and conventional solar-plant meteorological variables to estimate atmospheric horizontal extinction. J Clean Prod 285(125):395

5. AlZubaidi AA, Khaliq LA, Hamad HS et al (2022) MPPT implementation and simulation using developed P&O algorithm for photovoltaic system concerning efficiency. Bull Electr Eng Inform 11(5):2460–2470

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