GridKit
GridKit is an power grid extraction toolkit (by bdw)
GridMapping
By wangzhecheng
GridKit | GridMapping | |
---|---|---|
1 | 1 | |
72 | 13 | |
- | - | |
10.0 | 3.8 | |
over 4 years ago | about 1 year ago | |
PLpgSQL | Jupyter Notebook | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GridKit
Posts with mentions or reviews of GridKit.
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?
GridKit - https://github.com/bdw/GridKitGridKit uses spatial and topological analysis to transform map objects from OpenStreetMap into a network model of the electric power system. It has been developed in the context of the SciGRID project at the Next Energy research institute, to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in SciGRID. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.
GridMapping
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?
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.
What are some alternatives?
When comparing GridKit and GridMapping you can also consider the following projects:
GridTool - Convert OpenStreetMap grid data
SOFTX-D-22-00275 - Convert OpenStreetMap grid data
transnet - Transmission System Network Inference
gridfinder - Algorithm for guessing MV grid location based on NTL
earth-osm - Python tool to extract large-amounts of OpenStreetMap data