Photovoltaic Panels Classification Using Isolated and Transfer Learned Deep Neural Models Using Infr...
Photovoltaic Panels Classification Using Isolated and Transfer Learned Deep Neural Models Using Infrared Thermographic Images
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Defective PV panels reduce the efficiency of the whole PV string, causing loss of investment by decreasing its efficiency and lifetime. In this study, firstly, an isolated convolution neural model (ICNM) was prepared from scratch to classify the infrared images of PV panels based on their health, i.e., healthy, hotspot, and faulty. The ICNM occupie...
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Photovoltaic Panels Classification Using Isolated and Transfer Learned Deep Neural Models Using Infrared Thermographic Images
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TN_cdi_doaj_primary_oai_doaj_org_article_fbbac52ea74e4350b8c9f721e6d57fee
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fbbac52ea74e4350b8c9f721e6d57fee
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21165668
