Optimising E-Mobility Solutions with Data Science
How to Measure the Impact of Electric Vehicles on Electricity Demand
September 24, 2020
Optimising E-Mobility Solutions with Data ScienceDownload Whitepaper
Leveraging geospatial data is crucial for companies that want to bolster their digital strategy. Whether it’s to win the race to build autonomous vehicles, to gain a competitive edge by locating potential customers or to optimise e-mobility solutions, the combination of Artificial Intelligence and Geographic Information Systems (“GIS”) has revolutionised the way that companies make decisions.
The volume of location-based data has grown exponentially in the last decade, generated by multiple sources such as smartphones, IoT sensors and drones. In our ever-growing digital world, geographic data science is indispensable for companies that want to leverage their data – scientists indicate that up to 80% of all data is currently georeferenced.
Our UK Data Science team are experts in using data science methods to analyse and visualise spatial data, with particular experience in e-mobility. We use advanced data science techniques to find the optimal location to install electric vehicle chargers, given the spatial distribution of charging demand across a city or region.
As many companies and individuals turn towards clean energy solutions, the global electric vehicle (“EV”) fleet will continue to expand significantly in the years to come. In its 2020 Electric Vehicle Outlook report1, BNEF outlines that the size of the global EV fleet will rise from 8.5 million in 2020 to 116 million in 2030. The EV share of new car sales will go from 10% of global passenger vehicle sales in 2025 to 28% in 2030, and then to 58% in 2040.