You’re running late for the final 45-minute interview for your new developer position, your brand-new EV’s battery is down to 15%, and if you don’t pick up your five-year-old at daycare on time today, it’ll cost you big time. So where’s the closest charging point? And why the heck did they put it over there?

This session will take a look at new realities that Smart Cities and the coming re-electrification movement will bring to our world as we transition to EVs. I’ll show how Machine Learning, Analytics, and GIS toolsets can be deployed to determine optimal placement of charging stations based on publicly-available data, as well as provide users the capability to quickly locate the closest and best charge point for their needs at the time.

Through presentations and online demonstrations, this session will:
• Use Oracle machine learning algorithms and analytics to figure out which types of charging stations should be placed optimally to benefit EV owners
• Leverage APEX’s map region to display where those stations should be placed and what coverage and capacity they’re likely to provide
• Demonstrate a simple mobile application to help EV drivers to locate the right charger for their immediate recharging needs