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Ember has been experimenting with using artificial intelligence (AI) to expand the scale, depth and usability of our analytical work. AI allows us to move faster from a research question to a working analytical tool, but more importantly it helps us test more scenarios, combine more datasets and generate more granular insights before committing to a full build. Here, we’d like to share the behind the scenes of this work, with one recent example: the Solar + Battery Atlas.
“Solar and batteries are part of the same technology revolution we’re seeing in artificial intelligence. As the Northern Hemisphere marks the summer solstice this week, it seems like a fitting moment to share this beta tool that showcases how 24/7 solar is already cost-effective in much of the world.” —Daan Walter,Principal
Case study: Solar + Battery Atlas
The Ember Futures team has been using AI to develop a prototype data tool that shows how round-the-clock solar is a reality for much of the world, building on our analysis from last year.
