Using AI-enhanced geospatial estimates to monitor electricity consumption.
Everybody agrees electricity consumption is an important indicator of access quality. But historically, we’ve never had a way to measure it. We haven’t had consumption data in every country — or consistently year after year. All we’ve been able to track is whether people have a first electricity connection, a far cry from the granularity we need.
Measuring consumption would allow us to track how much electricity people actually use, and whether they’re consuming electricity at higher, more productive levels.
We built Open Energy Tracking, a tool that uses geospatial, machine learning-trained data to measure a population’s annual electricity consumption. The platform estimates the population at each of the five tiers of the World Bank’s Multi-Tier Framework. For the first time, we know not just whether people are connected to power, but how much electricity they actually use — and whether they are moving up the ladder over time.
Check out the interactive platform: OpenEnergyTracking.org
A snapshot of the data available on the Open Energy Tracking platform.
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