Energy Allies worked with data scientists at MIT and Stanford to develop a machine-learning model to predict the likelihood of an individual defaulting on their utility bill — EnergyScore.
EnergyScore was designed to be a more equitable and accurate qualification metric to FICO scores, which are currently used to underwrite customers for residential solar and energy efficiency products. Close to half of Americans have subprime credit scores or are credit invisible, dramatically limiting participation in renewable energy programs. The energy democracy movement works to decentralize the energy system by centering communities in the access and ownership of clean and affordable local energy.
There’s no time to waste when it comes to expanding access to clean energy, and we hope to share our patent-pending EnergyScore product with commercial, government and nonprofit organizations looking for an equitable alternative to FICO scores for the energy sector.