| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/47NL6MS | |||
| Repository | sid.inpe.br/mtc-m21d/2022/10.03.14.28 (restricted access) | |||
| Last Update | 2022:12.12.18.12.46 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/10.03.14.28.38 | |||
| Metadata Last Update | 2023:01.03.16.46.19 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| DOI | 10.1109/ICLP56858.2022.9942488 | |||
| ISBN | 978-166549024-5 | |||
| Citation Key | AlvesOMSFSSDP:2022:LiWaPr | |||
| Title | Lightning Warning Prediction with Multi-source Data  | |||
| Year | 2022 | |||
| Access Date | 2024, May 11 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 576 KiB | |||
| 2. Context | ||||
| Author | 1 Alves, Marcos A. 2 Oliveira, Bruno A. S. 3 Maia, Willian 4 Soares, Waterson S. 5 Ferreira, Douglas S. 6 Santos, Ana Paula Paes dos 7 Silvestrow, Fernando P. 8 Daher, Eugenio L. 9 Pinto Junior, Osmar | |||
| Resume Identifier | 1 2 3 4 5 6 7 8 9 8JMKD3MGP5W/3C9JJ2E | |||
| Group | 1 2 3 4 5 6 DIIAV-CGCT-INPE-MCTI-GOV-BR 7 8 9 DIIAV-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Universidade Federal de Minas Gerais (UFMG) 2 Universidade Federal de Minas Gerais (UFMG) 3 Universidade Federal de Minas Gerais (UFMG) 4 Vale S. A. 5 Instituto de Tecnologia Vale (ITV) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 FITEC Inovação Tecnológica 8 FITEC Inovação Tecnológica 9 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 marcosaalves@fitec.org.br 2 brunooliveira@fitec.org.br 3 willian.maia@vale.com 4 waterson.soares@vale.com 5 douglas.silva.ferreira@itv.org 6 ana.santos@inpe.br 7 fsilvestrow@fitec.org.br 8 edaher@fitec.org.br 9 osmar.pjr@uol.com | |||
| Conference Name | International Conference on Lightning Protection (ICLP), 36 | |||
| Conference Location | Cape Town | |||
| Date | 02-07 Oct. 2022 | |||
| Publisher | IEEE | |||
| History (UTC) | 2022-10-03 14:29:02 :: simone -> administrator :: 2022 2022-10-05 10:28:56 :: administrator -> simone :: 2022 2022-12-20 14:19:00 :: simone -> administrator :: 2022 2023-01-03 16:46:19 :: administrator -> simone :: 2022 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Lightning forecast machine learning symbolic artificial intelligence | |||
| Abstract | In this paper we describe a new methodology for generating real-time lightning warning prediction by using a reliable multi-source data. To do so, it was used two years of data covering 50km radius over three regions in Brazil. For 5-minutes intervals, it was evaluated three approaches: a rule-based model that monitors an area of radius greater than the protected area, a machine learning model that considers the amount of lightning that hit small nearby regions, and an integrated approach that combines the two above. The results achieved, on average, about 80% of false alarm ratio, when the model generated an alert but no lightning strikes the area, 14% of failures, opposite to the previous one, had lightning without alert, 1% of the total time operations had to be stopped because of alerts, and 9 minutes of lead time between the generation of the alert and there is a lightning strike. A multi-criteria decision method was used to rank the best method for each location. Rule-based and Integrated models were preferred according to the importance of each criterion for stakeholders. Each methodology has its advantages and they can be extended to other areas according to business needs. | |||
| Area | CST | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Lightning Warning Prediction... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | Lightning_Warning_Prediction_with_Multi-source_Data.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/46KUATE | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.57.30 3 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||