Visualizing big energy data

Rob J. Hyndman, Xueqin Amy Liu, Pierre Pinson

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Visualization is a crucial component of data analysis. It is always a good idea to plot the data before fitting models, making predictions, or drawing conclusions. As sensors of the electric grid are collecting large volumes of data from various sources, power industry professionals are facing the challenge of visualizing such data in a timely fashion. In this article, we demonstrate several data-visualization solutions for big energy data through three case studies involving smart-meter data, phasor measurement unit (PMU) data, and probabilistic forecasts, respectively.
Original languageEnglish
JournalI E E E Power & Energy Magazine
Volume16
Issue number3
Pages (from-to)18-25
ISSN1540-7977
DOIs
Publication statusPublished - 2018

Keywords

  • Phasor measurement units
  • Data visualization
  • Data analysis
  • Principal component analysis
  • Smart meters
  • Data models
  • Probability distribution
  • Big Data

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