Household response to dynamic pricing of electricity: a survey of 15 experiments

By A. Faruqui, Sanem Sergici. 2010

762 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/c8e773ec102ec5a675a4810c461ae5dcd49fc26c

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Mean–field moral hazard for optimal energy demand response management (2019, background): “Faruqui and Sergici [19] investigate "the evidence from the 15 most recent pilots, experiments and full–scale implementations of dynamic pricing of electricity" (see also the related contributions of Abrahamse, Steg, Vlek and Rothengatter [1], Herter [24], Newsham and Bowker [35], Wolak [42], or Jes”
Information Strategies and Energy Conservation Behavior: A Meta-Analysis of Experimental Studies from 1975 to 2012 (2013, neutral): “Two recent meta-analysis studies found strong effects of price signals on the timing of electricity consumption (Faruqui and Sergici, 2010; Newsham and Bowker, 2010), demonstrating that price signals affect behavior.”
Real-Time Pricing by Data Fusion on Networks (2018, methodology): “As a method for conducting the demand response, real-time pricing [1] has received much attention.”
A review of electricity product differentiation (2014, background): “With enabling technologies in place, a customer can cut its kW demand by as much as 50% [183–187].”
Smart grids: Another step towards competition, energy security and climate change objectives (2011, neutral): “To avoid this pitfall, regulators may draw on benchmarks based on worldwide return-on-experience (Faruqui and Sergici, 2010).”
Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers (2018, background): “CPP occurs a few times during the year, particularly summer when the demand for energy significantly increases; participating customers are notified of the increased prices [50], [51].”
Dynamic electricity pricing - Which programs do consumers prefer? (2013, neutral): “Up to now, several field trials (see Faruqui & Sergici, 2010, Newsham & Bowker, 2010, Stromback et al., 2011 for reviews) have experimented with dynamic pricing and have been able to prove a certain degree of effectiveness, especially with regard to demand shifts and sometimes also demand reduction.”
Information Strategies and Energy Conservation Behavior: A Meta-analysis of Experimental Studies from 1975-2012 - eScholarship (2013, neutral): “Two recent meta-analysis studies found strong effects of price signals on the timing of electricity consumption (Faruqui and Sergici 2010, Newsham and Bowker, 2010), demonstrating that price signals affect behavior.”
Social implications of residential demand response in cool temperate climates (2012, background): “This is seen as more user-friendly than CPP, because it involves no risk, but it is less effective than CPP at reducing load (Faruqui and Sergici, 2010).”
Demand-side management and European environmental and energy goals: an optimal complementary approach (2014, background): “illustration with five interconnected countries The European Commission, throughout its Third Climate and Energy package, has set energy and environmental goals for 2020 (European Commission, 2010).”