IEEE/PES General Meeting 2015
Panel session: Experiences and System Requirements for Power Quality
Data Analytics
Chair: Thomas Cooke, EPRI
There are several factors that contribute to successful power quality data
analytics:
- How the data is obtained and formatted.
- The processing capability and efficiency of algorithms.
- The ease and effectiveness of the analytics in translating large sums
of data to produce quick and meaningful power quality information.
This panel will share experiences and discuss information related to these
factors, as well as proposed methods to enhance power quality analytics for
the future smart grid.
PRESENTATIONS AND PANELISTS:
15PESGM1600: Data Validation and Lessons Learned from a North American Power
Quality Study
W. SUNDERMAN, EPRI
15PESGM1599:
Sensor Accuracy and Data Management Issues
J. MEYER, Technical University of Dresden
15PESGM1601: Monitoring System Requirements
J. WISCHKAEMPER, Texas A&M University
15PESGM1602: Open Source Tools for Automated Analytics and Data Validation
F. ELMENDORF, Grid Protection Alliance
15PESGM1598:
Condensing Data and Visualization Analytics
T. COOKE, EPRI