The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review

By Guy R. Newsham, Brent G. Bowker. 2010

433 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4d346950b283ed318282f3a6281a82674b324a5a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence (2018, background): “A large body of literature demonstrates that consumers will alter their consumption patterns in response to a range of TOU tariffs, with an average reduction in peak time energy consumption of around 15% depending on the tariff design [2], see also [3,4] and, in particular, [5] which reviews 30 tria”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Similar studies are presented in [99], [105] and [130], where time-based schemes in North America, in California and in the city of Chicago, IL, are respectively presented and analyzed.”
Time-based pricing and electricity demand response: Existing barriers and next steps (2016, background): “Pricing options include realtime pricing (RTP), critical-peak pricing (CPP), time-of-use pricing (TOU), and peak-time rebates (PTR) (Newsham and Bowker, 2010; see Table 3).”
From demand response to transactive energy: state of the art (2017, background): “According to [1, 3, 10, 11], timevarying tariffs typically include time-of-use (TOU) tariffs, critical peak pricing (CPP) tariffs, critical peak rebate (CPR) tariffs, and real time pricing (RTP) tariffs.”
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].”
Information Strategies and Energy Conservation Behavior: A Meta-Analysis of Experimental Studies from 1975 to 2012 (2013, positive): “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.”
Dynamic electricity pricing - Which programs do consumers prefer? (2013, positive): “The literature indicates that especially CPP programs are effective in reducing peak demand; however classical TOU pricing was also found to be effective to some extent (cf. Newsham & Bowker, 2010, as well as Stromback et al., 2011 for reviews).”
On demand: Can demand response live up to expectations in managing electricity systems? (2019, background): “[58] analyse critical peak pricing and time-of-use pricing separately, since these forms of demand response typically differ in price level, frequency, and the presence of event notifications for CPP.”
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 1975-2012 - 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.”