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arXiv · 2410.12056

Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location

Reddy Mandati·Po-Chen Chen·Vladyslav Anderson·Bishwa Sapkota·Michael Jarrell Warren·Bobby Besharati·Ankush Agarwal·Samuel Johnston III
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Abstract

Understanding the exact fault location in the post-event analysis is the key to improving the accuracy of outage management. Unfortunately, the fault location is not generally well documented during the restoration process, creating a big challenge for post-event analysis. By utilizing various data source systems, including outage management system (OMS) data, asset geospatial information system (GIS) data, and vehicle location data, this paper creates a novel method to pinpoint the outage location accurately to create additional insights for distribution operations and performance teams during the post-event analysis.

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Reddy Mandati, Po-Chen Chen, Vladyslav Anderson, Bishwa Sapkota, Michael Jarrell Warren, Bobby Besharati, Ankush Agarwal, Samuel Johnston III. 2024-10-15. Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location. https://arxiv.org/abs/2410.12056

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