Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data
Abstract Detailed and location-aware distribution grid information is a prerequisite for various power system applications such as renewable energy integration, wildfire risk assessment, and infrastructure planning. However, a generalizable and scalable approach to obtain such information is still l...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-39647-3 |