INDUSTRY ANALYSIS
SEPA Insight Brief: AI for Transportation Electrification
As EV adoption accelerates, utilities need smarter tools to manage new demand. This brief outlines how AI-driven analysis of AMI data enables EV detection, targeted charging programs, and more accurate load forecasting for transportation electrification.
Identify EV load, enable managed charging, and plan confidently for rapid transportation electrification.
Electric vehicle adoption is rapidly accelerating, creating both challenges and opportunities for utilities. As transportation electrification grows, utilities are turning to AI to better detect EVs, understand charging behavior, and design more effective programs. This brief explores how AI—particularly deep learning applied to AMI data—can support EV planning and program design. It highlights real-world examples from two North American utilities using machine learning insights to guide investments, improve grid planning, and streamline operations. Developed by SEPA in partnership with Bidgely, the resource introduces how AI works, where it adds value in electrification strategies, and key considerations for utilities evaluating AI tools—along with a glossary of essential AI and EV terms. Download the publication to learn how AI can help utilities prepare the grid for the EV transition.
Plan for Electrification Without Guesswork
Anticipate EV and heat pump adoption using measured usage patterns, not projections alone.
Support EV Growth Without Overbuilding Infrastructure
Use EV detection and charging insights to plan infrastructure upgrades more efficiently.
Forecast Peak Demand With Appliance-Level Insight
Improve peak forecasts by understanding how EVs, HVAC, and heat pumps shape system demand.
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