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Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence

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  • Sebastien Houde, Annika Todd, Anant Sudarshan, June A. Flora , and K. Carrie Armel

Abstract

Real-time information feedback delivered via technology has been reported to produce up to 20 percent declines in residential energy consumption. There are however large differences in estimates of the effect of real-time feedback technologies on energy use. In this study, we conduct a field experiment to obtain an estimate of the impact of a real-time feedback technology. Access to feedback leads to an average reduction in household electricity consumption of 5.7 percent. Significant declines persist for up to four weeks. In examining time of day reduction effects, we find that the largest reductions were observed initially at all times of the day but as time passes, morning and evening intervals show larger reductions. We find no convincing evidence that household characteristics explain heterogeneity in our treatment effects; we examine demographics, housing characteristics and psychological variables.

Suggested Citation

  • Sebastien Houde, Annika Todd, Anant Sudarshan, June A. Flora , and K. Carrie Armel, 2013. "Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  • Handle: RePEc:aen:journl:ej34-1-04
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    References listed on IDEAS

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    1. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    2. Dora L. Costa & Matthew E. Kahn, 2013. "Energy Conservation “Nudges” And Environmentalist Ideology: Evidence From A Randomized Residential Electricity Field Experiment," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 680-702, June.
    3. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    4. Ian Ayres & Sophie Raseman & Alice Shih, 2009. "Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage," NBER Working Papers 15386, National Bureau of Economic Research, Inc.
    5. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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    • F0 - International Economics - - General

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