Residential implementation of critical-peak pricing of electricity
By Karen Herter. 2007
386 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/54a05bdedd93db76be990c2db23f778a32e0faf1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Brent G. Bowker
- Sarah Darby
- Nizar Zorba
- Emma Hubert
- Christos V. Verikoukis
- M. Avci
- Guy R. Newsham
- John S. Vardakas
In Electrical and Electronic Engineering
- Hamed Mohsenian Rad
- M. Avci
- Nizar Zorba
- Christos V. Verikoukis
- John S. Vardakas
- Zaiyue Yang
- Jiming Chen
- Vincent W. S. Wong
Citations in the corpus
- The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review (2010, background): “This might represent a more effective use of resources than a blanket invitation and marketing campaign for opt-in programs (Rocky Mountain Institute, 2006; see also Herter, 2007).”
- A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “(CPP): The basic rate structure of this tariff is ToU pricing except for certain days, when the grid reliability is jeopardized, and then the normal peak price is replaced by a prespecified higher rate to reduce the users' energy demand [24].”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Furthermore, the ratio of on-peak to off-peak price is higher on CPP event days than in a TOU program [104].”
- Demand Response Management via Real-Time Electricity Price Control in Smart Grids (2013, background): “CPP requires higher electricity prices during periods of high energy use called CPP events, and offers lower prices during all other hours [7].”
- Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid (2010, background): “, by reducing their consumption at peak hours [12]–[14].”
- Social implications of residential demand response in cool temperate climates (2012, background): “As the price bands reflect long-term average expectations of daily peak marginal costs, they do not provide additional incentives to reduce demand further on days when the system is most stressed (Herter, 2007).”
- 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].”
- Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing (2013, methodology): “Herter investigated the effects of critical-peak pricing (CPP) with different usage and income levels, with the goal of informing policy makers who are considering the implementation of CPP tariffs in residential sector (Herter, 2007).”
- 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”
- Peak electricity demand and social practice theories: Reframing the role of change agents in the energy sector (2012, background): “Similar scenarios are playing out internationally, focusing demand managers’ attention on air-conditioning (and other peak) load during peak periods (Herter 2007; Strengers 2010a).”