TY - JOUR
T1 - Visualizing big energy data
T2 - solutions for this crucial component of data analysis
AU - Hyndman, Rob J.
AU - Liu, Xueqin Amy
AU - Pinson, Pierre
PY - 2018/5/1
Y1 - 2018/5/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045973154&partnerID=8YFLogxK
U2 - 10.1109/MPE.2018.2801441
DO - 10.1109/MPE.2018.2801441
M3 - Article
AN - SCOPUS:85045973154
SN - 1540-7977
VL - 16
SP - 18
EP - 25
JO - IEEE Power and Energy Magazine
JF - IEEE Power and Energy Magazine
IS - 3
ER -
