Grid Insights - Electric Vehicle Disaggregation
The Electric Vehicle (EV) Disaggregation subject area contains insights to help users forecast future electricity demand more efficiently and estimate the additional load that will be placed on the grid. This data can allow you to identify periods of high demand to prevent blackouts and plan for additional charging infrastructure and upgrades to the grid to ensure it can handle the increased demand.
You can also use this data to analyze detailed EV consumption patterns, including the breakdown of EV versus non-EV energy usage at individual service points. This in turn can enable you to develop pricing plans that encourage customers to charge their EVs during off-peak hours, reducing peak demand and improving grid efficiency; or to send tailored information and support to customers to help them make more informed decisions about their EV charging habits.
Answer questions like these:
- What are the monthly trends in EV usage across service points?
- How does EV energy consumption compare to non-EV energy consumption at each service point?
- How does EV usage distribution differ between daytime (6 AM - 6 PM) and nighttime (6 PM - 6 AM) hours?
- Which service points exhibit the highest levels of EV usage, and what are the primary charger types (L1 or L2) at these locations?