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Energy Big Data Analytics and Security: Challenges and Opportunities
University of New South Wales, Canberra.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
Number of Authors: 22016 (English)In: IEEE Transactions on Smart Grid, ISSN 1949-3053, E-ISSN 1949-3061, Vol. 7, no 5, p. 2423-2436Article in journal (Refereed) Published
Abstract [en]

The limited available fossil fuels and the call for sustainable environment have brought about new technologies for the high efficiency in the use of fossil fuels and introduction of renewable energy. Smart grid is an emerging technology that can fulfill such demands by incorporating advanced information and communications technology (ICT). The pervasive deployment of the advanced ICT, especially the smart metering, will generate big energy data in terms of volume, velocity, and variety. The generated big data can bring huge benefits to the better energy planning, efficient energy generation and distribution. As such data involve end users’ privacy and secure operation of the critical infrastructure, there will be new security issues. This paper is to survey and discuss new findings and developments in the existing big energy data analytics and security. Several taxonomies have been proposed to express the intriguing relationships of various variables in the field.

Place, publisher, year, edition, pages
2016. Vol. 7, no 5, p. 2423-2436
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-12479DOI: 10.1109/TSG.2016.2563461ISI: 000391722100026Scopus ID: 2-s2.0-84984631748Local ID: ba21e566-5c1b-4e1a-9269-da96f7f73d69OAI: oai:DiVA.org:ltu-12479DiVA, id: diva2:985430
Note

Validerad; 2016; Nivå 2; 20160620 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Vasilakos, Athanasios

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