Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913548328763392 |
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| author | Mandati, Reddy Chen, Po-Chen Anderson, Vladyslav Sapkota, Bishwa Warren, Michael Jarrell Besharati, Bobby Agarwal, Ankush Johnston III, Samuel |
| author_facet | Mandati, Reddy Chen, Po-Chen Anderson, Vladyslav Sapkota, Bishwa Warren, Michael Jarrell Besharati, Bobby Agarwal, Ankush Johnston III, Samuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12056 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location Mandati, Reddy Chen, Po-Chen Anderson, Vladyslav Sapkota, Bishwa Warren, Michael Jarrell Besharati, Bobby Agarwal, Ankush Johnston III, Samuel Databases Computers and Society 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. |
| title | Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location |
| topic | Databases Computers and Society |
| url | https://arxiv.org/abs/2410.12056 |