Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis

Rob J Hyndman, Xueqin Amy Liu, Pierre Pinson

Research output: Contribution to specialist publicationArticle

9 Citations (Scopus)
466 Downloads (Pure)

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
Pages18-25
Number of pages8
Volume16
No.3
Specialist publicationIEEE Power & Energy Magazine
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIs
Publication statusPublished - 19 Apr 2018

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