Evolve Energy uses machine learning to predict the carbon intensity of the energy grid.
Through its app, it then automatically adjusts its users’ energy use to be higher during cheaper and lower-impact times. For example, when Evolve predicts a windy, sunny morning but a cloudy, calm afternoon, it makes sure you charge your electric car in the morning when there’s lots of solar and wind energy available. Seth Colaner for VentureBeat
The technology includes pulling in real-time data, like how and when customers are using electricity, ambient temperatures, time of day, duration, patterns in preferences and behaviors, and so on. … Based on that data, Evolve Energy runs a recommendation engine that tells customers what it’s going to do for them. Customers can override the recommendations if they choose, and the app will instantly inform them what the resultant costs will be. It’s a balance, Lee said, involving transparency, control, and feedback.
Evolve can do all this because, instead of selling customers power at a flat rate like other power companies do, it resells power at wholesale prices, in 5-minute increments without charging a markup. Instead, it makes money by charging a $10/month fee for its app and predictive technology. CEO Michael Lee: “And by doing that, we are now aligning our interests for our customers to no longer sell them … electricity, but to become an advisor to our customers.” I love this alignment of incentives, and it’ll be exciting to see products like Evolve spread to other regions. (They’re currently only in Texas.) Check out Evolve Energy’s website
for more details about how it works
and how it helps decrease carbon emissions
is a nonprofit alternative, though it’s slightly less consumer-facing.)