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

Rob J Hyndman; Xueqin Amy Liu; Pierre  Pinson

doi:10.1109/MPE.2018.2801441

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 publication › Article

12 Citations (Scopus)

521 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 language	English
Pages	18-25
Number of pages	8
Volume	16
No.	3
Specialist publication	IEEE Power & Energy Magazine
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
DOIs	https://doi.org/10.1109/MPE.2018.2801441
Publication status	Published - 19 Apr 2018

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10.1109/MPE.2018.2801441Licence: Unspecified

Visualizing Big Energy Data
© 2018 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.2 MBLicence: Unspecified

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Xueqin Amy Liu
- x.liu@qub.ac.uk
Person: Academic

Cite this

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