Visualizing big energy data: solutions for this crucial component of data analysis

Rob J. Hyndman, Xueqin Amy Liu, Pierre Pinson

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

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
Pages (from-to)18-25
Number of pages8
JournalIEEE Power and Energy Magazine
Volume16
Issue number3
DOIs
Publication statusPublished - 1 May 2018

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