Identifying and estimating solar cell parameters using an enhanced slime mould algorithm

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Identifying and estimating solar cell parameters using an enhanced slime mould algorithm

This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). The first modification was an arbitrary average position among the new individual position...

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Bibliographic Details
Main Authors:	Logeswaary, Devarajah, Mohd Ashraf, Ahmad, Jui, Julakha Jahan
Format:	Article
Language:	English English English
Published:	Elsevier 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/41541/ http://umpir.ump.edu.my/id/eprint/41541/2/Identifying%20and%20estimating%20solar%20cell%20parameters.pdf http://umpir.ump.edu.my/id/eprint/41541/9/Identifying%20and%20estimating%20solar%20cell%20parameters%20using%20an%20enhanced%20slime%20mould%20algorithm_ABST.pdf http://umpir.ump.edu.my/id/eprint/41541/10/Identifying%20and%20estimating%20solar%20cell%20parameters%20using%20an%20enhanced%20slime%20mould%20algorithm.pdf

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