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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/4873UQK
Repositorysid.inpe.br/plutao/2022/12.12.17.27.53   (restricted access)
Last Update2022:12.15.18.37.26 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2022/12.12.17.27.54
Metadata Last Update2023:01.03.16.52.57 (UTC) administrator
DOI10.1016/j.seja.2022.100019
ISSN2667-1131
Labellattes: 4747919070495468 3 JuncklausMartinsCMLMVRM:2022:SyReNo
Citation KeyMartinsCMCBVRM:2022:SyReNo
TitleSystematic review of nowcasting approaches for solar energy production based upon ground-based cloud imaging
Year2022
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2034 KiB
2. Context
Author1 Martins, Bruno Juncklaus
2 Cerentini, Allan
3 Mantelli Neto, Sylvio Luiz
4 Chaves, Thiago Zimmermann Loureiro
5 Branco, Nicolas Moreira
6 Von Wangenheim, Aldo
7 Rüther, Ricardo
8 Marian Arrais, Juliana
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJ9K
Group1
2
3 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de Santa Catarina (UFSC)
2 Universidade Federal de Santa Catarina (UFSC)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de Santa Catarina (UFSC)
5 Universidade Federal de Santa Catarina (UFSC)
6 Universidade Federal de Santa Catarina (UFSC)
7 Universidade Federal de Santa Catarina (UFSC)
8 Universidade Federal de Santa Catarina (UFSC)
Author e-Mail Address1 bruno.juncklaus@posgrad.ufsc.br
2 allan.cerentini@posgrad.ufsc.br
3 sylvio@lepten.ufsc.br
4 thiago.zlc@grad.ufsc.br
5 nicolas.branco@posgrad.ufsc.br
6 aldo.vw@ufsc.br
7 ricardo.ruther@ufsc.br
8 juliana.arrais@posgrad.ufsc.br
JournalSolar Energy Advances
Volume2
Pages100019
History (UTC)2022-12-15 18:38:10 :: lattes -> administrator :: 2022
2023-01-03 16:52:57 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsNowcasting
clouds
Solar Energy
Image Processing
Ground
Photovoltaic
AbstractNowcasting of solar energy considering clouds is important for photovoltaic solar plants and distributed systems. Clouds present a challenge for modeling, due to constant changes in shape and size, and are dependent on local atmospheric conditions. Several methods are being used for the automatic assessment of clouds from the surface to predict solar power generation, assisted by camera, side sensors, etc. During our research we did not find a Systematic Literature Review on this topic. This review is intended to search the related scientific articles to find the state of the art in the area from the period of 20112020. We found 65 articles to review after the metaanalysis. We look for the main short-term forecasting methods used. The majority of articles rely on classical statistics approaches based on historical data. Yet recent articles show that this trend might be shifting towards Machine Learning approaches. Our analysis shows that most articles found are based on images captured by fish-eye lenses using a single camera. The most common forecasting techniques are Artificial Neural Networks and Convolutional Neural Networks, with the root mean squared error being the most predominant error metric used for model validation among both classical and Machine Learning approaches.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Systematic review of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target File1-s2.0-S2667113122000079-main.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.00.44 2
sid.inpe.br/bibdigital/2022/04.03.22.23 2
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
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