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.
|Number of pages||8|
|Specialist publication||IEEE Power & Energy Magazine|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication status||Published - 19 Apr 2018|
Hyndman, R. J., Liu, X. A., & Pinson, P. (2018). Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis. IEEE Power & Energy Magazine, 16(3), 18-25. https://doi.org/10.1109/MPE.2018.2801441