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Behavioral Study of Personalized Automated Demand Response in Workplaces

Author

Listed:
  • Takanori Ida
  • Naoya Motegi
  • Yoshiaki Ushifusa

Abstract

This study conducts a quasi-randomized controlled trial in a workplace with personalized lighting control and investigates the impact of automated demand responses on employees. To meet this objective, we set up four treatment groups: opt-in performance incentive, opt-in fixed incentive, opt-out performance incentive, and opt-out fixed incentive. Then, we estimate the average treatment effects (intent-to-treat and treatment-on-treated) of demand response. The results reveal a significant reduction in electricity consumption during peak hours for all four treatment groups.

Suggested Citation

  • Takanori Ida & Naoya Motegi & Yoshiaki Ushifusa, 2016. "Behavioral Study of Personalized Automated Demand Response in Workplaces," Discussion papers e-16-010, Graduate School of Economics , Kyoto University.
  • Handle: RePEc:kue:epaper:e-16-010
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    References listed on IDEAS

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    1. Koichiro ITO & Takanori IDA & Makoto TANAKA, 2015. "The Persistence of Moral Suasion and Economic Incentives: Field experimental evidence from energy demand," Discussion papers 15014, Research Institute of Economy, Trade and Industry (RIETI).
    2. Abadie, Alberto & Gay, Sebastien, 2006. "The impact of presumed consent legislation on cadaveric organ donation: A cross-country study," Journal of Health Economics, Elsevier, vol. 25(4), pages 599-620, July.
    3. Raymond S. Hartman & Michael J. Doane & Chi-Keung Woo, 1991. "Consumer Rationality and the Status Quo," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(1), pages 141-162.
    4. Takanori Ida & Wenjie Wang, 2014. "A Field Experiment on Dynamic Electricity Pricing in Los Alamos:Opt-in Versus Opt-out," Discussion papers e-14-010, Graduate School of Economics Project Center, Kyoto University.
    5. Frank A. Wolak, 2011. "Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 83-87, May.
    6. Brown, Zachary & Johnstone, Nick & Haščič, Ivan & Vong, Laura & Barascud, Francis, 2013. "Testing the effect of defaults on the thermostat settings of OECD employees," Energy Economics, Elsevier, vol. 39(C), pages 128-134.
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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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