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Cited by 438

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

A game-theoretic approach for optimal time-of-use electricity pricing

Yang, Peng, Tang, Gongguo, Nehorai, Arye·2013·IEEE Transactions on Power Systems

Abstract

Demand for electricity varies throughout the day, increasing the average cost of power supply. Time-of-use (TOU) pricing has been proposed as a demand-side management (DSM) method to influence user demands. In this paper, we describe a game-theoretic approach to optimize TOU pricing strategies (GT-TOU). We propose models of costs to utility companies arising from user demand fluctuations, and models of user satisfaction with the difference between the nominal demand and the actual consumption. We design utility functions for the company and the users, and obtain a Nash equilibrium using backward induction. In addition to a single-user-type scenario, we also consider a scenario with multiple types of users, each of whom responds differently to time-dependent prices. Numerical examples show that our method is effective in leveling the user demand by setting optimal TOU prices, potentially decreasing costs for the utility companies, and increasing user benefits. An increase in social welfare measure indicates improved market efficiency through TOU pricing.

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Metadata

Authors
Yang, P., Tang, G., & Nehorai, A.
Venue
IEEE Transactions on Power Systems
Published
2013-05
Volume
28
Issue
2
Pages
884-892
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W2023409181
Cited by
438
References
16
FWCI
15.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A game-theoretic approach for optimal time-of-use electricity pricing. https://app.cochat.ai/papers/10.1109/tpwrs.2012.2207134
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Yang, P., Tang, G., & Nehorai, A. (2013). A game-theoretic approach for optimal time-of-use electricity pricing. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2012.2207134

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