Electric Vehicle Identification Solution
Identify location of electric vehicles on the grid using machine learning
The Problem
- Electric vehicle (EV) charging impacts the grid causing potentially dangerous service transformer overloads
- There is no easy way for utilities to identify these locations
- Need to know who has electric vehicles so that customer programs can be more targeted
Why Fractal
Fractal delivered an EV identification app in a single business quarter.
Machine learning used to analyze utility electric meter data and create statistically significant “EV identifiers”.
Fractal performance enables application to run in real-time and identify charging events as they occur.
SOLUTION
- Electric meter data evaluated for back years and current months to identify load profiles indicative of EV charging
- Utility was able to make much more accurate forecasts of electric demand for EVs
- Distribution grid hot spots identified and service transformer failures avoided
Impact
Prevented service transformer failures by identifying distribution hot spots and proactively upgrading transformers.
Utility was able to more aggressively roll out EV and distributed generation programs.