GridMapping

By wangzhecheng

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GridMapping reviews and mentions

Posts with mentions or reviews of GridMapping. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-18.
  • New to OpenStreetMaps - Power Layer - Educational Purposes - Any tips on style format?
    7 projects | /r/openstreetmap | 18 Nov 2023
    GridMapping: https://github.com/wangzhecheng/GridMappinghttps://www.nature.com/articles/s41467-023-39647-3Detailed 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 lacking. In this work, we develop a machine-learning-based framework to map both overhead and underground distribution grids using widely-available multi-modal data including street view images, road networks, and building maps. Benchmarked against the utility-owned distribution grid map in California, our framework achieves > 80% precision and recall on average in the geospatial mapping of grids. The framework developed with the California data can be transferred to Sub-Saharan Africa and maintain the same level of precision without fine-tuning, demonstrating its generalizability. Furthermore, our framework achieves a R2 of 0.63 in measuring the fraction of underground power lines at the aggregate level for estimating grid exposure to wildfires. We offer the framework as an open tool for mapping and analyzing distribution grids solely based on publicly-accessible data to support the construction and maintenance of reliable and clean energy systems around the world.

Stats

Basic GridMapping repo stats
1
13
3.8
about 1 year ago

wangzhecheng/GridMapping is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of GridMapping is Jupyter Notebook.


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