CLBPNN: A Hybrid Chaotic Levy-BPNN Algorithm for Enhanced Photovoltaic Parameter Identification.
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| Title: | CLBPNN: A Hybrid Chaotic Levy-BPNN Algorithm for Enhanced Photovoltaic Parameter Identification. |
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| Authors: | Qian, Jun1 JQn2016@163.com, Zhang, Hui1 zhanghui_nnn@163.com, Wang, Shun2 18913929898@163.com |
| Source: | Engineering Letters. May2026, Vol. 34 Issue 5, p1805-1815. 11p. |
| Subjects: | Back propagation, Global optimization, Mathematical optimization |
| Abstract: | To overcome limited global search and poor adaptability in photovoltaic parameter identification, this paper proposes a hybrid backpropagation neural network (CLBPNN) combining Tent chaotic mapping and Levy flight. The dual-enhanced framework boosts population diversity and escape from local optima, while neural networks refine local identification. Under a global-local optimization structure, the method improves accuracy and robustness. Experiments under varying conditions--such as temperature shifts, irradiation changes, and noise--verify CLBPNN's superior tracking and anti-interference performance, supporting efficient and intelligent PV system operation. [ABSTRACT FROM AUTHOR] |
| Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193453936 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CLBPNN: A Hybrid Chaotic Levy-BPNN Algorithm for Enhanced Photovoltaic Parameter Identification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qian%2C+Jun%22">Qian, Jun</searchLink><relatesTo>1</relatesTo><i> JQn2016@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hui%22">Zhang, Hui</searchLink><relatesTo>1</relatesTo><i> zhanghui_nnn@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shun%22">Wang, Shun</searchLink><relatesTo>2</relatesTo><i> 18913929898@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. May2026, Vol. 34 Issue 5, p1805-1815. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Back+propagation%22">Back propagation</searchLink><br /><searchLink fieldCode="DE" term="%22Global+optimization%22">Global optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To overcome limited global search and poor adaptability in photovoltaic parameter identification, this paper proposes a hybrid backpropagation neural network (CLBPNN) combining Tent chaotic mapping and Levy flight. The dual-enhanced framework boosts population diversity and escape from local optima, while neural networks refine local identification. Under a global-local optimization structure, the method improves accuracy and robustness. Experiments under varying conditions--such as temperature shifts, irradiation changes, and noise--verify CLBPNN's superior tracking and anti-interference performance, supporting efficient and intelligent PV system operation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193453936 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1805 Subjects: – SubjectFull: Back propagation Type: general – SubjectFull: Global optimization Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: CLBPNN: A Hybrid Chaotic Levy-BPNN Algorithm for Enhanced Photovoltaic Parameter Identification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qian, Jun – PersonEntity: Name: NameFull: Zhang, Hui – PersonEntity: Name: NameFull: Wang, Shun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1816093X Numbering: – Type: volume Value: 34 – Type: issue Value: 5 Titles: – TitleFull: Engineering Letters Type: main |
| ResultId | 1 |
