See the EV-driven future – and plan for it
Identify future grid infrastructure needs by simulating the effects of new EV loads, helping planners make informed investment decisions.
Evaluating future EV impacts is slow and complex, but upgrades can't wait
Identify the most efficient path to serve EV demand
Visualize
Map and analyze EV behavior across the grid to better understand how charging patterns impact upline equipment.
Analyze
Simulate EV adoption and evaluate impacts on upline equipment. Identify how active managed charging and behavioral programs affect the timing of future upgrades.
Prioritize
Pinpoint at-risk equipment and focus resources on upgrades that ensure a reliable and efficient grid.
RAPID INSIGHTS
24/7 analysis for in-the-moment insights
Our platform offers an always-on approach to planning insights so utility leaders can make fast, informed decisions. With planning insights at every feeder, recloser, and service transformer, system planners can optimize capital budgets while ensuring reliability.
TIMING IS EVERYTHING
The right network upgrades at the right time
Identify high-risk areas and make informed decisions to more wisely spend limited capital and operating budgets, leveraging the flexibility of distributed energy resources to prolong the life of equipment and avoid early upgrades.
Identifying the EV Tipping Point
AES Indiana collaborated with Camus to understand the inflection point for residential EV adoption when grid-optimized managed EV charging would provide net benefits for all AES customers.
"Visibility into how customer resources are impacting our grid is the first step in addressing challenges and creating opportunities. Our partnership with Camus has enabled us to identify capital flexibility that we can use to enhance grid-wide reliability and affordability. By understanding our own tipping point, we are able to transform investments into broader grid improvements that deliver long-term value for all of our customers."
Explore our other grid orchestration solutions
simulation
