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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3KN36M2
Repositorysid.inpe.br/plutao/2015/12.04.14.24
Last Update2015:12.10.17.40.06 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2015/12.04.14.24.18
Metadata Last Update2018:06.04.23.25.57 (UTC) administrator
DOI10.18086/eurosun.2014.09.01
ISBN9783981465938
Labellattes: 0638551133292550 2 LimaPereMart:2015:FoShSo
Citation KeyLimaPereMart:2015:FoShSo
TitleForecast of short-term solar irradiation in Brazil using numerical models and statistical post-processing
Year2015
Access Date2024, June 13
Secondary TypePRE CI
Number of Files1
Size3167 KiB
2. Context
Author1 Lima, Francisco José Lopes de
2 Pereira, Enio Bueno
3 Martins, Fernando Ramos
Resume Identifier1
2 8JMKD3MGP5W/3C9JH2E
Group1 CST-CST-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3 DGE-CEA-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 francisco.lopes@inpe.br
2 enio.pereira@inpe.br
3 fernando.martins@inpe.br
Conference NameEuroSun 2014
Conference LocationAix-les-Bains
Date2014
Pages1
Book TitleProceedings
Tertiary TypePaper
History (UTC)2015-12-04 14:24:18 :: lattes -> administrator ::
2018-06-04 23:25:57 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsSolar forecasting
Solar Energy
Solar Radiation
AbstractThis work aims at establishing a methodology to get reliable solar irradiation forecasts for the Brazilian Northeastern region by using WRF model together with statistical methods for post-processing data. The key issue is concerning how to deal with the diversity of typical climate features occurring in the region presenting the largest solar energy resource in Brazil. The solar irradiance forecasts for 24h in advance were obtained using the WRF model. In order to reduce uncertainties, cluster analysis technique was employed to find out areas presenting similar climate features. Comparison analysis between WRF model outputs and observational data were performed to evaluate the model skill in forecasting the surface solar irradiation. After all, post-processing of WRF outputs were performed using artificial neural networks and multiple regression methods in order to refine short-term solar irradiation forecasts.
AreaCST
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doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3KN36M2
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3KN36M2
Languageen
Target File1_lima.pdf
User Grouplattes
simone
Reader Groupadministrator
simone
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EU29DP
8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.45.21 4
URL (untrusted data)http://proceedings.ises.org/
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format issn lineage mark nextedition numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type volume
7. Description control
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