Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/1816
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Šutić D. | en |
dc.contributor.author | Varga, Ervin | en |
dc.date.accessioned | 2019-09-23T10:17:57Z | - |
dc.date.available | 2019-09-23T10:17:57Z | - |
dc.date.issued | 2018-01-05 | en |
dc.identifier.isbn | 9781538630723 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/1816 | - |
dc.description.abstract | © 2017 IEEE. We propose an architecture that aims to improve the execution times of compute intensive calculations that are part of prominent power system analysis functions. The approach uses the distributed framework Apache Spark to target the common problems in linear algebra, like the solving of a matrix equation, that increase the complexity of said functions. Our analysis focuses on the load flow study as a common and important procedure that could benefit from distributed computing. | en |
dc.relation.ispartof | 2017 25th Telecommunications Forum, TELFOR 2017 - Proceedings | en |
dc.title | Apache spark as distributed middleware for power system analysis | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/TELFOR.2017.8249455 | en |
dc.identifier.scopus | 2-s2.0-85045845032 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85045845032 | en |
dc.relation.lastpage | 4 | en |
dc.relation.firstpage | 1 | en |
dc.relation.volume | 2017-January | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
6
checked on May 3, 2024
Page view(s)
35
Last Week
5
5
Last month
8
8
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.