Electrical Distribution Grid Maps

Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra

Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again.

Resolution: geotiff is provided at Bing Tile Level 20

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This dataset updates: Never

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Activity

HDX Data Manager updated the dataset Electrical Distribution Grid Maps 2 months ago
Nicole Fulk updated the dataset Electrical Distribution Grid Maps 4 months ago
Nicole Fulk updated the dataset Electrical Distribution Grid Maps 4 months ago
Nicole Fulk updated the dataset Medium-Voltage Distribution (Predictive) 4 months ago
Kareem Elbayar updated the dataset Medium-Voltage Distribution (Predictive) 5 months ago
Kareem Elbayar added the resource electrical_grid_cote_divoire_15.csv to the dataset Medium-Voltage Distribution (Predictive) 5 months ago
Kareem Elbayar created the dataset Medium-Voltage Distribution (Predictive) 5 months ago

Data and Resources
Metadata

Source	Facebook
Contributor	Facebook
Date of Dataset	Jan 24, 2019
Expected Update Frequency	Never
Location
Visibility	Public
License	Creative Commons Attribution
Methodology
Caveats / Comments
Tags	electricity energy access