@inproceedings{f4cc789f44f441b59d7d604274b7657d,
title = "Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction",
abstract = "Photovoltaic cell modeling using 5-parameter cells are considered simple but less-accurate compared to the 8parameter models. Different optimization techniques have been proposed for the optimization and extraction of these unknown cell parameters. However, most of these techniques suffer some limitations that reduce their performances. In this paper, four different optimization techniques were compared under different cell temperatures to determine the most effective technique for the optimization of solar cell parameters. Findings show that shuffled frog leaping algorithm exhibited the best performance and can be suggested for the accurate extraction of photovoltaic cell parameters under different cell temperatures.",
keywords = "Invasive weed optimization, Memetic algorithm, Shuffled Frog leaping algorithm, Simulated annealing, Solar cell, Whale algorithm, and swarm intelligence, machine learning",
author = "Farayola, {Adedayo M.} and Yanxia Sun and Ahmed Ali",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 ; Conference date: 15-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "15",
doi = "10.1109/ITMS51158.2020.9259311",
language = "English",
series = "2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Janis Grabis and Andrejs Romanovs and Galina Kulesova",
booktitle = "2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings",
address = "United States",
}
