The science powering the analysis

The team’s sophisticated data-modelling tool is akin to a powerful AI chatbot – only on a much grander scale, employing significant processing power. Using it, the team can conduct fast, highly complex analysis on millions of data points, highlighting the consequences of multiple hypothetical scenarios.

In a short space of time, the model has the ability to answer extremely complicated questions on a given scenario. For instance, what is the difference in impact between switching to renewable power sources and encouraging people to drive less, as their charging behaviour changes with dynamic pricing.

The model is built on hard data to be as accurate as possible. Throughout the process, the team has rejected using hypothetical inputs. Instead, the model uses hourly data of California driving behaviour such as miles travelled or cars parked, and 25 years’ worth of highly detailed variables such as weather patterns and power generation.