Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications

dc.contributor.author Kezunovic, Mladen
dc.contributor.author Obradovic, Zoran
dc.contributor.author Djokic, Tatjana
dc.contributor.author Roychoudhury, Shoumik
dc.date.accessioned 2017-12-28T01:05:57Z
dc.date.available 2017-12-28T01:05:57Z
dc.date.issued 2018-01-03
dc.description.abstract This paper describes a Weather Impact Model (WIM) capable of serving a variety of predictive applications ranging from real-time operation and day-ahead operation planning, to asset and outage management. The proposed model is capable of combining various weather parameters into different weather impact features of interest to a specific application. This work focuses on the development of a universal weather impacts model based on the logistic regression embedded in a Geographic Information System (GIS). It is capable of merging massive data sets from historical outage and weather data, to real-time weather forecast and network monitoring measurements, into a feature known as weather hazard probability. The examples of the outage and asset management applications are used to illustrate the model capabilities.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.346
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50234
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Resilient Networks
dc.subject Weather predictions; outage management; asset management; data analytics
dc.title Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications
dc.type Conference Paper
dc.type.dcmi Text
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
paper0347.pdf
Size:
1.39 MB
Format:
Adobe Portable Document Format
Description: