Reinforcement learning based fractional fuzzy controller for photovoltaic systems-Reference-Cited by-同舟云学术

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Reinforcement learning based fractional fuzzy controller for photovoltaic systems

Published:2024-09 Issue: Volume:162 Page:111878
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sharifi Ali^ORCID,Delavari Hadi^ORCID

Publisher

Elsevier BV

Reference27 articles.

1. Solar photovoltaic energy optimization methods, challenges and issues: a comprehensive review;Al-Shahri;J. Clean. Prod.,2021

2. A review on the approaches employed for cooling PV cells;Maleki;Sol. Energy,2020

3. Experiential integral backstepping sliding mode controller to achieve the maximum power point of a PV system;Oubbati;Control Eng. Pract.,2020

4. A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions;Wasim;Energy Rep.,2022

5. An adaptive variable leaky least mean square control scheme for grid integration of a PV system;Bag;IEEE Trans. Sustain Energy,2020

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