SurplusMap uses machine learning to build more places to charge your EV
Luis de Ita Maubant
CEO & Co-founder
Across the globe, the transition to electric vehicles (EVs) is gaining momentum. For a seamless shift, governments and energy companies need strategic tools to plan essential charging infrastructure. Enter SurplusMap, an innovative Norway-based company leveraging spatial analytics to accelerate the adoption of renewable energy.
What role can AI play to accelerate impact?
SurplusMap recognized a key hurdle to EV adoption: insufficient and inconveniently located charging stations. To address this, they teamed up with Google as part of a new initiative by the Startups for Sustainable Development program. This initiative fosters partnerships with impact startups like SurplusMap, harnessing the power of innovation to tackle the climate crisis and aligns with the UN’s Sustainable Development Goals.
The collaboration yielded a groundbreaking machine learning (ML) model. This powerful tool integrates vast datasets on road networks, traffic patterns, points of interest, and more. By analyzing this wealth of information, it pinpoints the optimal locations for new EV chargers, streamlining infrastructure planning and ensuring convenient charging access for drivers. This data-driven approach is what's making SurplusMap's solution so valuable to governments and energy companies.
“With the help of the Google team, we built an ML model to predict utilization rates for EV chargers. This new feature is proving invaluable for our potential customers," says SurplusMap CEO and co-founder, Luis de Ita Maubant.