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1,000 EVs driving 13% of peak demand

Brief

NV Energy applied AI-powered, adaptive precision targeting to convert EV usage insight into measurable grid value: it flagged 1,000 high-impact EVs (≈2% of detected owners) accounting for 13% of peak charging load, identified zip codes with up to 80% EV load growth, doubled-plus program signups via one campaign, and delivered ~3× kW/car improvements in its managed charging program.

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How NV Energy uses adaptive targeting to turn EV insight into measurable grid impact

1000 EVs driving 13% of peak demand

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Hi Spencer,How do modern utilities find and recruit the right customers when load, adoption, and grid conditions are constantly changing?NV Energy is a leading example of how utilities are continuously adapting and using AI-powered precision targeting and recruitment to engage, communicate value in personalized ways, and identify EV hot spots as real-world conditions evolve. Don't miss the Februray 26 webinar: NV Energy Project Manager for Electrification Raheel Sadiq will shares how the utility has used AI-powered EV intelligence to:

1. Identify 1,000 EVs (2% of all EV owners detected) responsible for 13% of peak charging demand

2. Uncover zip codes experiencing up to 80% EV load growth

3. 2X+ program registrations through a single targeted campaign

More than an EV case study, this session presents a repeatable blueprint for how utilities can align technology, customer engagement, and cross-functional teams to deliver measurable grid value and program ROI under constant change. | Save Your Seat

Want a preview? Hear from Raheel in this 3-minute interview from Bidgely’s EmPOWER AI event series.

Then dive into this related case about how NV Energy used EV intelligence to 3X the overall kW/car gains for its managed charging program compared to the average population.

Read the Case Study

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