Data analytics for transmission and distribution

Victoria M. Catterson, Stephen D. J. McArthur

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

With more sources of monitoring coming on-line, manual analysis of the raw data becomes increasingly infeasible. Data analytics can provide the toolset for automated decision support for utility engineers, helping to unlock the potential of network data. This chapter will focus on when and how data analytics can support transmission and distribution engineers in various job functions. Some particular applications are considered first, highlighting what role analytics can play and how this benefits the utility. Then, the enabling technologies for data analytics are discussed, exploring the links with fields such as data science and Big Data. Finally, the chapter concludes with various case studies of transmission and distribution data analytics in practice, and draws out some key design and deployment challenges overcome in each case.
Original languageEnglish
Title of host publicationSmart Grid Handbook
EditorsChen-Ching Liu, Stephen McArthur, Seung-Jae Lee
Place of PublicationChichester, West Sussex
Pages1487-1505
Number of pages19
Volume3
Publication statusPublished - 15 Jul 2016

Keywords

  • smart power grids
  • data analytics
  • data science

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