Bidgely

Webinar

How Dominion Energy SC Pinpoints High-Impact Homes for Energy Checkups

Abstract

Dominion Energy South Carolina (DESC) transformed its Home Energy Checkup program from broad-stroke targeting to a precision strategy. Using the Analytics Workbench (AWB), DESC moved beyond basic usage and square footage to analyze disaggregated, end-use data. By layering filters for inefficient electric heat, high “always on” usage, and lighting consumption, they isolated a prime customer segment. This new group boasts an average annual consumption of 25.8 MWh, a dramatic increase from the 15.8 MWh average on previous lists. This session details how this targeted approach aligns specific customer needs with program offerings like smart power strips and LED lighting.

Key Takeaways

  • Target End-Uses, Not Just Usage: Learn to analyze disaggregated data to identify specific opportunities, such as focusing on inefficient electric heat to address winter peak load.
  • Build a Precision Funnel: Discover how to layer multiple data filters—including appliance data, home characteristics, and past program participation—to dramatically increase the average energy consumption of your target pool.
  • Align Solutions with Data: See how to match specific customer consumption profiles with targeted measures, such as offering smart power strips to high “always on” users and direct LED installations for those with high lighting use.