Company-reported · controlled behavioral studies
NRGsurf for retail EV charging
Make more of the charging network you already own.
NRGsurf combines automated asset response with adaptive behavioral interventions, so retailers can evaluate more reliable flexibility and better charging-network economics.
Optional offer · next visit
“Charge at Site B tomorrow 2–4 pm and get a reward.”
The opportunity
Your charging network is part of your energy system.
What matters is not only how many chargers are installed, but when demand arrives, what each site can support and whether customer choice can follow energy conditions. Value depends on each retailer's sites, tariffs, customers and systems.
- 01
Energy cost
Charge smarter
Lower-cost charging windows, site peak management and better use of on-site solar, subject to tariffs and operating limits.
- 02
Customer
Engage drivers
Test relevant discounts, loyalty rewards or information that may influence when and where drivers choose to charge.
- 03
Flexibility
Evaluate flexibility value
Assess whether eligible demand-response programs or existing flexible assets could add net value.
How NRGsurf works
Asset intelligence + behavioral response. One flexibility decision.
NRGsurf complements charging-management, energy-management and customer-engagement systems. Prediction informs the decision; it is one component, not the whole product.
Site context
Loads · tariffs · charging patterns · asset status · operating limits
Automated asset response
What controllable charging, storage and other eligible assets can contribute.
Adaptive behavioral interventions
Which timing, location or incentive options may influence voluntary future choices.
NRGsurf decision layerExpected flexibility → recommended action
- Prediction
- Intervention selection
- Asset coordination
Execute
Through existing control and engagement channels
Measure
Expected vs observed response
Learn
Update the next decision
Conceptual architecture. Data access, execution rights and integrations are scoped with each operator.
Retail applications
Three opportunities to test.
Public fast charging offers little flexibility once a session has started. These cases focus on future time and location decisions; any control must preserve safety, consent, service quality and technical limits.
- 01
A better time to charge
When a more favorable window is available, test whether an offer shifts future visits without compromising convenience.
- 02
A better location
Where nearby sites differ in utilization, explore whether drivers with a choice respond to a location-based incentive.
- 03
Alignment with local energy
Coordinate suitable charging demand with on-site solar, storage and site loads, where assets and permissions allow.
Experience
From behavioral research to real charging infrastructure.
NRGsurf combines behavioral energy research with hands-on experience developing EV charging management software.
Behavioral research
Experimental work on how EV drivers respond to charging choices, prices and incentives.
Charging engineering
Hands-on development of OCPP-based charging management, RFID authentication, charging-session visibility and operator workflows.
Energy optimization
Research and development spanning smart-meter data, forecasting and interventions to coordinate flexible demand.
Experience spans research, development and testing; it does not imply that all components are commercially deployed.
Why behavioral intelligence matters
The same offer does not work for everyone.
Charging records show what already happened at a site. Controlled behavioral experiments ask what people weigh when they decide when, where or whether to charge — charging preferences, prices and incentives. NRGsurf brings that evidence into decisions about existing flexible assets.
This is a research result versus offering everyone the same incentive. It is not a retail EV charging outcome or a promise of future savings.
Bounded feasibility assessment
Start with one decision worth improving.
- 01
Understand
Pick one or two candidate sites, define the objective and map data, constraints and permissions.
- 02
Model
Assess automated response and behavioral interventions against the current operating baseline.
- 03
Validate
If the case is credible, design a controlled test of response, customer experience and net value.
Exploratory. No deployment, timeline or financial result is implied.
NRGsurf for retail EV charging
Explore what your network could do next.
Tell us which sites, constraints or customer decisions matter most, and we'll discuss whether a focused assessment makes sense.