An exploratory analysis of California residential customer response to critical peak pricing of electricity

By Karen Herter, P. McAuliffe, A. Rosenfeld. 2007

241 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e9548d58bf97e3aab783e9bb83d97fe94780087a

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Marco Levorato
2. Andrea J. Goldsmith
3. Charlie Wilson
4. Karen Herter
5. Nihar Jindal
6. Robert W. Heath
7. M. Avci
8. Taesang Yoo

In Renewable Energy, Sustainability and the Environment

1. Charlie Wilson
2. Karen Herter
3. Zhe Wang
4. Tianzhen Hong
5. Yan Du
6. Fangxing Li

Citations in the corpus

• Smart homes and their users: a systematic analysis and key challenges (2014, background): “Linked in-home displays communicating usage and cost information to end-users enable utilities to charge for electricity at its marginal cost, providing a price signal to shift or curtail demand when supply is expensive or in short supply [4, 42].”
• 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).”
• Residential Demand Response Using Reinforcement Learning (2010, background): “Residential DR [6]–[9] potentially offers similar benefits but also faces several challenges.”
• Residential implementation of critical-peak pricing of electricity (2007, background): “Previous analysis of SPP data has reported significant load reductions during CPP events (Herter et al., 2006).”