CASE STUDY
Harnessing EV Intelligence for Smarter Load Management
February 18, 2026 | 12PM ET
This case study shows how Bidgely supported NV Energy in identifying EV customers targeting high on-peak chargers and shifting load through a managed charging journey. NV Energy started with a sample population of 20 241 customers and used EV Intelligence to identify 419 EV users (2%) narrow to 233 charging on-peak and ultimately focus on 103 high-value customers who contributed 63% of load-shifting potential. With targeted recruitment and telematics-based managed charging NV Energy achieved 3X higher kW/car than the average population and delivered ~1 kW/car over 20+ events—well above typical industry results (0.2–0.3 kW/car).
Target high-value EV chargers
Identify EV customers and on-peak behavior to focus recruitment where load-shifting impact is highest.
Manage charging with precision
Use telematics-based control plus peak-event alerts and incentives to shift load off-peak.
Deliver measurable grid value
Achieve significantly higher kW/car outcomes vs non-targeted approaches and industry benchmarks.
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