Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment
By F. Wolak. 2007
200 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ab50ff042602bba8e5bd0ab74e9cf04493bc0a44
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nikolaos G. Paterakis
- John S. Vardakas
- Ozan Erdinc
- Matteo Muratori
- João P. S. Catalão
- Bryony Parrish
- Nizar Zorba
- Giorgio Rizzoni
Citations in the corpus
- 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).”
- Dynamic electricity pricing - Which programs do consumers prefer? (2013, unknown): “On top of the attributes outlined so far, pricing programs can also include extraordinary events , such as extremely high penalty costs during critical periods (critical peak pricing – CPP; cf. Wolak 2010) ii or interruptible rates iii .”
- Real Time Pricing and Electricity Markets (2009, background): “…"peaker" power plants earn zero pro ts, meaning that RTP must either reduce peak electricity prices and increase Capacity Market revenues, or vice recent work on market design, including Borenstein (2002), Borenstein and Holland (2005), Joskow and Tirole (2007), Wilson (2002), and Wolak (2007).”
- Demand-side management and European environmental and energy goals: an optimal complementary approach (2014, background): “Wolak (2006), who studied the impact of another Californian experiment in the municipality of Anaheim involving PTR, concluded this pricing could reach 12% of peak load reduction.”
- An overview of Demand Response: Key-elements and international experience (2017, background): “For the other days a fl at rate applies [4,49,55].”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “consumers is pre-determined to be very high, which does not reveal the actual supply-demand balance at different operating conditions [117].”
- Demand Response Management via Real-Time Electricity Price Control in Smart Grids (2013, methodology): “The total energy consumption of each semi-elastic appliance follows the uniform distribution on [4 , 6] kWh in the working period.”
- On demand: Can demand response live up to expectations in managing electricity systems? (2019, methodology): “Ameren Missouri "CPP and TOU trial" [95,96] Missouri trial 2004 2005 250 treatment, 488 control Anaheim "CPR trial" [47] California trial 2005 71 treatment, 51 control Australia "Integral energy trial" [97] Australia trial 2006 2008 900 treatment, 360 control Austria "Smartgrids Salzburg" [98] Austr”
- The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review (2010, background): “Louis, Missouri Programmable Thermostat Puckett & Hennessy [2004, 2006] Anaheim Jun-Oct, 2005 Anaheim, California Wolak [2006]”