Close up of an electric vehicle being recharged. Credit: Kindel Media
One day, the demand for electricity to charge electric vehicles may overwhelm the power grid, unless the electricity sector is prepared for the challenge.
With a growing fleet of EVs on the road, grid planners depend on accurate estimates of charging patterns to calculate electricity demand. A team of researchers at Stanford University assembled a scalable probabilistic model for charging demand that can be applied to a flexible array of populations and account for a wide range of factors. Within California, the model found that by 2030—in a scenario …
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