Quantifying Customer Response to Dynamic Pricing

By A. Faruqui, Stephen S. George. 2005

317 citations recorded by the source corpus.

Subfields: Marketing, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/aa4662f80611b52a6f5f0db28dfa538df86da161

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Citations in the corpus

A Model for Efficient Consumer Pricing Schemes in Electricity Markets (2007, background): “A more recent experiment for California (statewide pricing pilot) has shown that residential and small to medium commercial and industrial customers cut energy usage in peak periods in response to TOU prices [16].”
Optimal Generation Mix With Short-Term Demand Response and Wind Penetration (2012, background): “5% are documented in [35] for a range of customer types.”
A game-theoretic approach for optimal time-of-use electricity pricing (2013, background): “California’s Statewide Pricing Pilot showed that residential and small-to-medium commercial and industrial customers are willing to reduce their peak-period energy use as a result of time-varying pricing [7].”
Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing (2012, unknown): “See Faruqui and George (2005), Herter et al. (2007), Letzler (2009) and Wolak (2006, 2010).”
The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities (2012, background): “Faruqui and George (2005) analyzed dynamic pricing’s impact on peak loads.”
Demand response experience in Europe: Policies, programmes and implementation (2010, background): “In principle DR initiatives can bring about significant reductions in electricity prices, as shifts of demand during peaks could reduce the need for higher marginal cost generation, offer lower cost system balancing and decrease grid reinforcement investment [2].”
The price elasticity of electricity demand in South Australia (2011, background): “Faruqui & George 2005 California Residential, industrial and commercial Substitution elasticity: 0.09 Residential, commercial and industrial customers conclusively reduced peak-period energy use in response to time-varying prices.”
Demand Response in U.S. Electricity Markets: Empirical Evidence (2010, background): “The universe of time-based retail rates has expanded significantly from these early days of the industry to now include real-time pricing (RTP), critical peak pricing (CPP) and variations thereof [2, 3, 7, 8].”
A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response (2020, background): “Response was higher by households with higher income in the California SPP trial (Faruqui and George, 2005), and by homeowners in the UK CLNR trial (Bird, 2015).”