Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3954
DC FieldValueLanguage
dc.contributor.authorNtlela, Simphiwe A.en_US
dc.contributor.authorDavidson, Innocent E.en_US
dc.date.accessioned2022-04-28T14:09:52Z-
dc.date.available2022-04-28T14:09:52Z-
dc.date.issued2022-01-25-
dc.identifier.citationNtlela, S.A. and Davidson, I.E. 2022. Solar irradiation forecasting for the city of Durban using time series analysis. Presented at: 2022 30th Southern African Universities Power Engineering Conference (SAUPEC). doi:10.1109/saupec55179.2022.9730711en_US
dc.identifier.isbn9781665468879-
dc.identifier.urihttps://hdl.handle.net/10321/3954-
dc.description.abstractAs a result of the country's rich solar resources, local and international investors have grown interested in the solar energy industry. The country has sufficient renewable energy resources that can be exploited to generate electricity. Solar power has exposed achievement in the area of electric power generation. The fuel that powers solar energy is Light from the sun and solar radiation. As a substitute for fossil fuel-based energy, renewable energy plays a vital role in developing countries such as those in Africa, Asia, and Latin America. Published publications related to this topic often use mathematical models to model the solar resources instead of measurements. The most preferable data is measured since the effects of weather and pollution are included. The commissioning of regional networks for monitoring solar stations in southern Africa has established a unique source for sun strength measurements in Southern Africa. This study presents sun strength measurements from the solar station in southern Africa Universities Radiometric Network (SAURAN) is compared with NASA data.en_US
dc.format.extent5 pen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSolar assessmenten_US
dc.subjectRadiometry dataen_US
dc.subjectRenewable energyen_US
dc.subjectSolar radiationen_US
dc.titleSolar irradiation forecasting for the city of Durban using time series analysisen_US
dc.typeConferenceen_US
dc.date.updated2022-04-16T03:55:10Z-
dc.relation.conference2022 30th Southern African Universities Power Engineering Conference (SAUPEC)en_US
dc.identifier.doi10.1109/saupec55179.2022.9730711-
local.sdgSDG07-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference-
item.languageiso639-1en-
Appears in Collections:Research Publications (Engineering and Built Environment)
Files in This Item:
File Description SizeFormat
Ntlela_Davidson_2022.pdfArticle697.58 kBAdobe PDFView/Open
Show simple item record

Page view(s)

276
checked on Dec 22, 2024

Download(s)

528
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.