dc.creatorTrindade
dc.creatorFernanda C. L.; Ochoa
dc.creatorLuis F.; Freitas
dc.creatorWalmir
dc.date2016
dc.date2017-11-13T13:50:49Z
dc.date2017-11-13T13:50:49Z
dc.date.accessioned2018-03-29T06:07:20Z
dc.date.available2018-03-29T06:07:20Z
dc.identifier978-1-5090-4303-3
dc.identifier2016 Ieee Innovative Smart Grid Technologies - Asia (isgt-asia). Ieee, p. 574 - 579, 2016.
dc.identifierWOS:000391851500097
dc.identifierhttp://ieeexplore.ieee.org/document/7796448/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329279
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366304
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionThe large volumes of data that will be produced by ubiquitous sensors and meters in future smart distribution networks represent an opportunity for the use of data analytics to extract valuable knowledge and, thus, improve Distribution Network Operator (DNO) planning and operation tasks. Indeed, applications ranging from outage management to detection of nontechnical losses to asset management can potentially benefit from data analytics. However, despite all the benefits, each application presents DNOs with diverse data requirements and the need to define an adequate approach. Consequently, it is critical to understand the different interactions among applications, monitoring infrastructure and approaches involved in the use of data analytics in distribution networks. To assist DNOs in the decision making process, this work presents some of the potential applications where data analytics are likely to improve distribution network performance and the corresponding challenges involved in its implementation.
dc.description574
dc.description579
dc.descriptionSao Paulo Research Foundation (FAPESP) [2015/02891-5, 2015/12260-2]
dc.descriptionNational Counsel of Technological and Scientific Development (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionIEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)
dc.descriptionNOV 28-DEC 01, 2016
dc.descriptionMelbourne, AUSTRALIA
dc.description
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relation2016 IEEE Innovative Smart Grid Technologies - ASIA (ISGT-ASIA)
dc.rightsfechado
dc.sourceWOS
dc.subjectData Analytics
dc.subjectDistribution Networks
dc.subjectOperation
dc.subjectPlanning
dc.titleData Analytics In Smart Distribution Networks: Applications And Challenges
dc.typeActas de congresos


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