Log in to save to my catalogue

Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e91c40014a74a1fa8203f05c80931b1

Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

About this item

Full title

Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

Author / Creator

Publisher

Les Ulis: EDP Sciences

Journal title

E3S web of conferences, 2023-01, Vol.423, p.1009

Language

English

Formats

Publication information

Publisher

Les Ulis: EDP Sciences

More information

Scope and Contents

Contents

Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the power generation of PV. This paper discusses the fact...

Alternative Titles

Full title

Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e91c40014a74a1fa8203f05c80931b1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e91c40014a74a1fa8203f05c80931b1

Other Identifiers

ISSN

2267-1242,2555-0403

E-ISSN

2267-1242

DOI

10.1051/e3sconf/202342301009

How to access this item