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Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Ac...

Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Ac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3181744419

Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation

About this item

Full title

Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2025-03, Vol.17 (6), p.2718

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study presents a comparative analysis of various optimization algorithms—Differential Evolution (DE), Particle Swarm Optimization (PSO), Arithmetic Optimization Algorithm (AOA), and Hippopotamus Optimization Algorithm (HOA)—for parameter identification in photovoltaic (PV) models. By utilizing RTC France solar cell data, we demonstrate that ac...

Alternative Titles

Full title

Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3181744419

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3181744419

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su17062718

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