Household characteristics associated with smart-meter interval data viewership: Evidence from the U.S. residential energy consumption survey

Advanced metering infrastructure (AMI) in the U.S. has increased in the last decade and provides an important link between customers, their load, and the grid. Smart meters are an essential component in that link. However, little is known about the households that engage with their household energy interval data. We extend the previous literature on smart meters by examining the household characteristics associated with viewing smart-meter interval data and its association with annual household electricity use. Using data from the U.S. Energy Information Administration's Residential Energy Consumption Survey (RECS) for 2015 and 2020, we find that household characteristics consistently associated with smart-meter data viewership across both survey waves include having internet access at ho*Corresponding author Email: me, solar generation, and the number of electronic devices. Appliance stock characteristics commonly associated with higher household electricity consumption (e.g. electric space heating, and electric vehicle ownership) are generally not strongly associated with smart-meter viewership. Among households with smart meters, viewership is associated with lower annual electricity use for households with electric space heating relative to households without electric space heating, although this association is less precise in 2020. We conclude with a discussion of implications for utility policymakers, focusing on strategies to increase customer engagement with AMI data and the importance of considering household heterogeneity when designing dynamic pricing and demand-side management programs.

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Publication Details

Journal
Utilities Policy
Published
2026-08-20
DOI
https://doi.org/10.1016/j.jup.2026.102312
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Household characteristics associated with smart-meter interval data viewership: Evidence from the U.S. residential energy consumption survey

Adrienne Ohler, Michael Sykuta
Utilities Policy
Smart Grid Energy Management
article

Household characteristics associated with smart-meter interval data viewership: Evidence from the U.S. residential energy consumption survey

Adrienne Ohler, Michael Sykuta
article en

Abstract

Advanced metering infrastructure (AMI) in the U.S. has increased in the last decade and provides an important link between customers, their load, and the grid. Smart meters are an essential component in that link. However, little is known about the households that engage with their household energy interval data. We extend the previous literature on smart meters by examining the household characteristics associated with viewing smart-meter interval data and its association with annual household electricity use. Using data from the U.S. Energy Information Administration's Residential Energy Consumption Survey (RECS) for 2015 and 2020, we find that household characteristics consistently associated with smart-meter data viewership across both survey waves include having internet access at ho*Corresponding author Email: me, solar generation, and the number of electronic devices. Appliance stock characteristics commonly associated with higher household electricity consumption (e.g. electric space heating, and electric vehicle ownership) are generally not strongly associated with smart-meter viewership. Among households with smart meters, viewership is associated with lower annual electricity use for households with electric space heating relative to households without electric space heating, although this association is less precise in 2020. We conclude with a discussion of implications for utility policymakers, focusing on strategies to increase customer engagement with AMI data and the importance of considering household heterogeneity when designing dynamic pricing and demand-side management programs.

Utilities PolicyVol. 103
University of Missouri (US)
University of Missouri
Affordable and clean energy
Openalex Percentile: Top 19%
Smart Grid Energy Management
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Household characteristics associated with smart-meter interval data viewership: Evidence from the U.S. residential energy consumption survey — Adrienne Ohler, Michael Sykuta · Utilities Policy (2026) | TGRS Research Map | TGRS