EVFinder Advanced AI and Machine Learning

Identify EVs in AMI Data
Advanced AI and Machine Learning Algorithms

How it Works

EVFinder's^SM advanced artificial intelligence and machine learning algorithms detect EV charging in your utility's territory. The algorithms are trained and validated using real-world charging data for different climates, EV stock, and driving patterns. The complexity of each home's electricity usage requires extensive experience to avoid prediction error– experience Sagewell has. Use EVFinder^SM to locate EVs and maximize LCFS credits, increase EV program enrollment, identify targets for EV marketing, and assess localized impacts to the distribution network.

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EVFinder^SM has a variety of uses that can help your utility.
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Identify EVs that contribute the most to peak poad

Determine if a load management program in necessary and target the drivers who are most impactful for enrollment.

Analyze EV concentration and potential distribution impacts

Find load concentration risks and consider transformer upgrades. Identify areas that require additional investment.

Promote existing EV programs to non-participating drivers

Find and target the EV drivers who have yet to enroll in TOU rates, demand response, and other EV programs.

Identify drivers likely to purchase EVs for marketing

Want to increase EV adoption in your territory? Select the best candidates for a successful marketing program.