Geospatial Information System Interest Group
A Technology Transfer Outreach Effort of the EPRI IntelliGrid Program
July 24th, 2014
Geolocating Underground Utility Infrastructure
May 22nd, 2014
Creating Distribution Boundaries Using Computational Geometry & Meteorological Mesonet – Better Predictions for Storm Damage
April 10th, 2014
Utilizing Low Cost GIS Technology – Open Maps and Apps
March 11th, 2014
GIS 2025: What does the industry hold for us and how can we prepare?
September 26, 2013
Webcast on Estimating the Spatial Distribution of Power Outages during Hurricanes for Risk Management
August 29, 2013
Webcast on Field Force Data Visualization, GIS Data Correction, and IDMS
March 7, 2013
Union Power Dashboard and PSNH Importance of GIS Data
February 7, 2013
Real Time Situational Awareness and Historical Analysis Leveraging GIS at Burlington Hydro
- View All Webcasts
- For more information, contact
John Simmins at EPRI.
Purpose of the GIS Interest Group
The GIS Interest Group is a forum for utilities to share experiences, talk about tools and techniques and explore research topics. EPRI provides this forum without charge (you do not even have to be an EPRI member to participate) as a service to the industry and to promote the importance of good GIS data.
With the advent of AMI, DMS, and the Smart Grid, distribution companies can no longer ignore poor data quality. In many cases, utilities are finding that their capital intensive Smart Grid investments are not yielding anticipated benefits simply because the utility does not have an adequately accurate representation of the distribution system. In more extreme cases, the safety of employees and the public has been compromised due to misrepresented facilities in the GIS.
GIS quality issues are primarily related to:
- Gaps, e.g. certain key data is missing;
- Redundancies with other systems, e.g. data is captured in many systems and it is inconsistent or requires duplicate data entry to update;
- Lack of currency with system “as-built”, e.g. untimely work order completion / backlog;
- Inaccuracies with the field, e.g. GIS has data but does not represent the actual system in the field;
- Inaccurate or unavailable land-base, e.g. varying degrees of accuracy of land-base data based on the source;
- Customer to transformer connectivity by phase is in doubt; and
- GIS model itself allows for “bad” data.
The GIS Interest Group will explore methods of improving GIS data quality by sharing with each other and participating in EPRI sponsored research.
Who Should Participate
Anyone who works with GIS or depends on GIS data
Schedule of Upcoming Webcasts