Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based...
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy resources is still a major drawback for these technologies. In this study, eight different artificial intelligence (AI) models namely; convolutional neural network (CNN), artificial neural network (ANN), long short-t...
Alternative Titles
Full title
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d34466a1e2904d408f2e035afb335033
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d34466a1e2904d408f2e035afb335033
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-13652-w
