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Medium-Voltage Distribution (Predictive)
L o a d i n g
Owner
Facebook - view all
Update frequencyunknown
Last updatedalmost 2 years ago
Overview

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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Files
  • Cote D'Ivoire - Medium Voltage Distribution (geotiff)

  • Cote D'Ivoire - Medium Voltage Distribution (CSV)

  • Democratic Republic of Congo - Medium Voltage Distribution (geotiff)

  • Democratic Republic of Congo - Medium Voltage Distribution (CSV)

  • Malawi - Medium Voltage Distribution (geotiff)

  • Malawi - Medium Voltage Distribution (CSV)

  • Nigeria - Medium Voltage Distribution (geotiff)

  • Nigeria - Medium Voltage Distribution (csv)

  • Uganda - Medium Voltage Distribution (geotiff)

  • Uganda - Medium Voltage Distribution (CSV)

  • Zambia - Medium Voltage Distribution (geotiff)

  • Zambia - Medium Voltage Distribution (CSV)