Simulation and forecasting of power by energy harvesting method in photovoltaic panels using artificial neural network-Reference-Cited by-同舟云学术

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Simulation and forecasting of power by energy harvesting method in photovoltaic panels using artificial neural network

Published:2024-02 Issue: Volume:222 Page:120017
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Demir Hasan^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Frequent faults on the DC side in photovoltaic ssystems;Demir,2020

2. A.E. Cosgun, H. Demir, The experimental study of dust effect on solar panel efficiency, J. Polytech. 25 (n.d.) 1429–1434. https://doi.org/10.2339/politeknik.903989.

3. The potential of Agrivoltaic systems in Turkey;Cosgun;Energy Rep.,2021

4. Evaluation of PV panel power loss using gabor filter bank;Karadag;Trait. Signal.,2022

5. Online Fault diagnosis for photovoltaic modules based on probabilistic neural network;Chen;Eur. J. Electr. Eng.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid firefly algorithm–neural network for battery remaining useful life estimation;Clean Energy;2024-08-27

2. Cascade-Forward, Multi-Parameter Artificial Neural Networks for Predicting the Energy Efficiency of Photovoltaic Modules in Temperate Climate;Applied Sciences;2024-03-26

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