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Big data from smart grids
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0001-8504-494X
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Signal Processing group, Chalmers University of Technology.
2018 (English)In: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017: proceedings, New York: Institute of Electrical and Electronics Engineers (IEEE), 2018Conference paper, Published paper (Refereed)
Abstract [en]

This paper gives a general introduction to “Big Data” in general and to Big Data in smart grids in particular. Large amounts of data (Big Data) contains a lots of information, however developing the analytics to extract such information is a big challenge due to some of the particular characteristics of Big Data. This paper investigates some existing analytic algorithms, especially deep learning algorithms, as tools for handling Big Data. The paper also explains the potential for deep learning application in smart grids.

Place, publisher, year, edition, pages
New York: Institute of Electrical and Electronics Engineers (IEEE), 2018.
Series
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-68183DOI: 10.1109/ISGTEurope.2017.8260155ISI: 000428016500064Scopus ID: 2-s2.0-85046278444ISBN: 978-1-5386-1953-7 (electronic)OAI: oai:DiVA.org:ltu-68183DiVA, id: diva2:1195346
Conference
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Torino, Italy, 26-29 Sept. 2017
Available from: 2018-04-05 Created: 2018-04-05 Last updated: 2018-05-14Bibliographically approved

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Citation style
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  • Other locale
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Output format
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