The smart grid's data generating potentials

Marco Aiello, Giuliano Andrea Pagani

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

21 Citations (Scopus)

Abstract

The Smart Grid is the vision underlying the evolution the power grid is currently undergoing. Its pillars are increased efficiency, self-healing, operation automation, and renewable energy integration obtained through real-time control and digitalization of the infrastructure. Thus, an important ingredient-if not the main one-is information technology support for power transmission and distribution. Given the size of the power grid, its pervasiveness, and the need for its availability, it is easy to imagine that any serious ICT infrastructure dealing with it will have to manage a great deal of rapidly forming data. Now the question is whether the amount, diversity, and uses of such data put the smart grid in the category of Big Data applications, followed by the natural question of what is the value of such data. To provide an initial answer to this question, we analyze the current state of data generation of the Dutch grid, its evolution towards a smart grid, and a future realistic scenario. The scenario considered shows that the amount of data generated is comparable to some of today's social media and 'classic' Big Data examples.

Original languageEnglish
Title of host publicationFedCSIS 2014
Subtitle of host publicationProceedings of the 2014 Federated Conference on Computer Science and Information Systems
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages9-16
Number of pages8
ISBN (Electronic)9788360810583, 9788360810576
DOIs
Publication statusPublished - 21 Oct 2014
Externally publishedYes
Event2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014 - Warsaw, Poland
Duration: 7 Sep 201410 Sep 2014

Publication series

NameAnnals of computer science and information systems
PublisherPolish Information Processing Society
Volume2
ISSN (Electronic)2300-5963

Other

Other2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014
CountryPoland
CityWarsaw
Period7/09/1410/09/14

Keywords

  • Big Data
  • power systems
  • smart grid

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