Predicting Weather-Associated Impacts in Outage Management Utilizing the GIS Framework Conference Paper

abstract

• 2015 IEEE. Weather-related impacts are at the top of all outage causes. Yet, traditional outage management (OM) approaches do not integrate all available and relevant weather-associated data automatically. This paper presents a predictive method that correlates different weather-associated data layers to provide predictive OM process implemented using the geographic information systems (GIS) framework. Examples for both transmission and distribution OM are demonstrated using vegetation, wind, and power system data in ArcGIS.

name of conference

• 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)

authors

• Goldberg, Daniel
• Kezunovic, Mladen

published proceedings

• 2015 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LATAM)

author list (cited authors)

• Chen, P., Dokic, T., Stokes, N., Goldberg, D. W., & Kezunovic, M.

citation count

• 15

complete list of authors

• Chen, Po-Chen||Dokic, Tatjana||Stokes, Nicholas||Goldberg, Daniel W||Kezunovic, Mladen

publication date

• October 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Data Analytics
• Distribution Systems
• Fault Location
• Geographic Information Systems
• Geospatial Analysis
• Meteorology
• Outage Management
• Smart Grids
• Transmission Systems.

Digital Object Identifier (DOI)

• 10.1109/isgt-la.2015.7381191

International Standard Book Number (ISBN) 13

• 9781467366052

start page

• 417

end page

• 422

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fisgt-la.2015.7381191