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The Response of Industrial Customers to Electric Rates Based Upon Dynamic Marginal Costs

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Author Info

  • Herriges, Joseph A.
  • Baladi, S. M.
  • Caves, Douglas W.
  • Neenan, B. F.

Abstract

Recent advances in technology and in the theory of electric utility operations and planning have led to an increased interest in rate and service options that are differentiated over short time intervals. The purpose of this paper is to describe the results from an analysis of a real-time pricing experiment recently conducted at Niagara Mohawk Power Corporation. The objective of the experiment is to measure the response of large industrial customers to dynamic, fully time-differentiated, marginal cost-based electricity rates over a broad range of industries. Because of its design features, including the establishment of an experimental control group, the Niagara Mohawk study provides a rare opportunity to study large user response to real-time pricing, including inter-hour price elasticities. Coauthors are S. Mostafa Baladi, Douglas W. Caves, and Bernard F. Neenan. Copyright 1993 by MIT Press.

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1497.

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Date of creation: 01 Jan 1993
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Publication status: Published in Review of Economics and Statistics 1993, vol. 75, pp. 446-454
Handle: RePEc:isu:genres:1497

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Cited by:
  1. Stephen P. Holland & Erin T. Mansur, 2007. "Is Real-Time Pricing Green? The Environmental Impacts of Electricity Demand Variance," NBER Working Papers 13508, National Bureau of Economic Research, Inc.
  2. Wai Choi & Anindya Sen & Adam White, 2011. "Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market," Journal of Regulatory Economics, Springer, vol. 40(3), pages 303-323, December.
  3. Courty, Pascal & Pagliero, Mario, 2003. "Does Responsive Pricing Increase Efficiency? Evidence from Pricing Experiments in an Internet Café," CEPR Discussion Papers 4149, C.E.P.R. Discussion Papers.
  4. Thomas Taylor & Peter Schwarz & James Cochell, 2005. "24/7 Hourly Response to Electricity Real-Time Pricing with up to Eight Summers of Experience," Journal of Regulatory Economics, Springer, vol. 27(3), pages 235-262, 01.
  5. Hopper, Nicole & Goldman, Charles & Bharvirkar, Ranjit & Neenan, Bernie, 2006. "Customer response to day-ahead market hourly pricing: Choices and performance," Utilities Policy, Elsevier, vol. 14(2), pages 126-134, June.
  6. Pascal Courty & Mario Pagliero, 2008. "Does Responsive Pricing Smooth Demand Shocks?," Economics Working Papers ECO2008/01, European University Institute.
  7. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
  8. Zarnikau, Jay & Thal, Dan, 2013. "The response of large industrial energy consumers to four coincident peak (4CP) transmission charges in the Texas (ERCOT) market," Utilities Policy, Elsevier, vol. 26(C), pages 1-6.
  9. Robert H. Patrick & Frank A. Wolak, 2001. "Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices," NBER Working Papers 8213, National Bureau of Economic Research, Inc.
  10. Kopsakangas Savolainen, Maria & Svento, Rauli, 2012. "Real-Time Pricing in the Nordic Power markets," Energy Economics, Elsevier, vol. 34(4), pages 1131-1142.
  11. Thomas Taylor & Peter Schwarz, 2000. "Advance notice of real-time electricity prices," Atlantic Economic Journal, International Atlantic Economic Society, vol. 28(4), pages 478-488, December.

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