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Commercial and Industrial Demand Response Under Mandatory Time-of-Use Electricity Pricing

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  • Katrina Jessoe
  • David Rapson

Abstract

type="main"> This paper is the first to evaluate the impact of a large-scale field deployment of mandatory time-of-use (TOU) pricing on the energy use of commercial and industrial firms. The regulation imposes higher prices during hours when electricity is generally more expensive to produce. We exploit a natural experiment that arises from the rules governing the program to present evidence that TOU pricing induced negligible change in overall usage, peak usage and peak load. As such, economic efficiency was not increased. Bill levels and volatility exhibit minor shifts, suggesting that concerns about increased expenditure and customer risk exposure have been overstated.

Suggested Citation

  • Katrina Jessoe & David Rapson, 2015. "Commercial and Industrial Demand Response Under Mandatory Time-of-Use Electricity Pricing," Journal of Industrial Economics, Wiley Blackwell, vol. 63(3), pages 397-421, September.
  • Handle: RePEc:bla:jindec:v:63:y:2015:i:3:p:397-421
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    Cited by:

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    5. van Zoest, Vera & El Gohary, Fouad & Ngai, Edith C.H. & Bartusch, Cajsa, 2021. "Demand charges and user flexibility – Exploring differences in electricity consumer types and load patterns within the Swedish commercial sector," Applied Energy, Elsevier, vol. 302(C).
    6. Kim, Min-Jeong, 2017. "A field study using an adaptive in-house pricing model for commercial and industrial customers in Korea," Energy Policy, Elsevier, vol. 102(C), pages 189-198.
    7. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
    8. Zhaohua Wang & Bin Lu & Bo Wang & Yueming (Lucy) Qiu & Han Shi & Bin Zhang & Jingyun Li & Hao Li & Wenhui Zhao, 2023. "Incentive based emergency demand response effectively reduces peak load during heatwave without harm to vulnerable groups," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Hye Yoon Song & Gyu Sub Lee & Yong Tae Yoon, 2019. "Optimal Operation of Critical Peak Pricing for an Energy Retailer Considering Balancing Costs," Energies, MDPI, vol. 12(24), pages 1-20, December.
    10. Parag, Yael, 2021. "Which factors influence large households’ decision to join a time-of-use program? The interplay between demand flexibility, personal benefits and national benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    11. Nicolas Astier, 2021. "Second‐best pricing for incomplete market segments: Application to electricity pricing," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(6), pages 1287-1311, December.
    12. Hunt Allcott & Christopher Knittel, 2019. "Are Consumers Poorly Informed about Fuel Economy? Evidence from Two Experiments," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 1-37, February.
    13. Mar Reguant, 2018. "The Efficiency and Sectoral Distributional Implications of Large-Scale Renewable Policies," NBER Working Papers 24398, National Bureau of Economic Research, Inc.
    14. Lu, Renzhi & Hong, Seung Ho & Zhang, Xiongfeng, 2018. "A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach," Applied Energy, Elsevier, vol. 220(C), pages 220-230.
    15. Zhou, Yang & Ma, Rong & Su, Yun & Wu, Libo, 2019. "Too big to change: How heterogeneous firms respond to time-of-use electricity price," China Economic Review, Elsevier, vol. 58(C).
    16. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2023. "Pricing policies for efficient demand side management in liberalized electricity markets," Economic Modelling, Elsevier, vol. 121(C).
    17. Ahmed Ismail & Mustafa Baysal, 2023. "Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning," Energies, MDPI, vol. 16(14), pages 1-19, July.
    18. Otashu, Joannah I. & Baldea, Michael, 2018. "Grid-level “battery” operation of chemical processes and demand-side participation in short-term electricity markets," Applied Energy, Elsevier, vol. 220(C), pages 562-575.

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