Transforming TOU Adoption
When utilities introduce time-of-use (TOU) rates, customers are often grouped into two categories: those who will naturally save under the new rate and those who will struggle to benefit. In this video, Bidgely Chief Product Officer Ted Nielsen explains how appliance-level energy disaggregation reveals a critical third group - customers who can achieve meaningful savings with a few simple changes in when and how they use energy.
Watch the video to see how AI-powered energy insights support every stage of the TOU journey:
- Identify potential savers by using behind-the-meter insights to move beyond traditional demographic or usage segmentation.
- Drive behavioral shifts with targeted rate education and personalized guidance tailored to each households appliance usage.
- Prevent bill shock by measuring real load shifting and customer outcomes through post-enrollment analytics.
Make Time-of-Use Rates Work for Customers and the Grid
Design TOU programs informed by real customer behavior to drive participation and load shifting.
Improve Program Performance With Precision Targeting
Identify customers most likely to participate so you can drive higher enrollment, lower cost per kWh, and stronger results.
Deliver Demand Programs That Actually Flex
Identify and activate flexible load to ensure a more reliable response during peak grid events.
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