Retail Electricity Competition

By P. Joskow, Jean Tirole. 2004

236 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/fe23d409726798dc98b314b62461a6fb7ae1c9a1

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In Electrical and Electronic Engineering

In Management Science and Operations Research

Citations in the corpus

Power TAC: A competitive economic simulation of the smart grid (2013, background): “Energy prices that truly reflect energy availability can motivate consumers to shift their loads to minimize cost, and more effectively utilize distributed, small-scale energy storage and production resources (Joskow and Tirole, 2006).”
A Model for Efficient Consumer Pricing Schemes in Electricity Markets (2007, background): “Joskow and Tirole [ 20 ] gave two main reasons why the final consumers may not react to real-time prices.”
Electricity Market Reform in the European Union: Review of Progress toward Liberalization &Integration* (2005, background): “Although large consumers have benefited from competition, the benefits of extending retail competition to include residential customers have yet to be firmly established (Joskow and Tirole, 2004; Joskow, 2003a; Salies and Waddams Price, 2004).”
Lessons Learned From Electricity Market Liberalization (2008, background): “In addition, retail competition has more attractive welfare properties if the real time consumption of retail consumers can be measured instead of relying on load profiling (Joskow and Tirole 2006).”
Regulation of Natural Monopoly (2007, background): “For example, on a typical electric distribution network, individual consumers cannot be offered different levels of network reliability because the physical control of the distribution network is at the “neighborhood” rather than the individual levels (Joskow and Tirole, 2005).”
Capacity Market Fundamentals (2013, background): “The value of reliability may be revealed only for those (large) consumers, who do have real-time meters and can be interrupted, and if system operators are prepared to black them out based on the performance of their suppliers (see Chao and Wilson 1987, Joskow and Tirole 2006, 2007).”
Rethinking Real Time Electricity Pricing (2011, background): “In theory, economists have long recognized that this creates allocative ine¢ ciencies, and there is a long literature1 on "peak load pricing" and "real-time pricing."”
Large-Scale Integration of Deferrable Demand and Renewable Energy Sources (2014, methodology): “The demand bidding models cited earlier [2], [10], [11], [14] do not account for inter-temporal elasticities, thereby making demand appear independent across time periods.”
A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading (2009, background): “A general decision framework for retailers was presented in [5].”
Competitive Electricity Markets and Investment in New Generating Capacity (2006, background): “First, a large amount of generating capacity that is available to meet peak demand plus the associated operating reserve requirements supplies relatively small amounts of energy during the year.”