Controlling Electricity Consumption by Forecasting its Response to Varying Prices

By Olivier Corradi, Henning Ochsenfeld, Henrik Madsen, Pierre Pinson. IEEE Transactions on Power Systems, 2013

146 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/1a130ab6f5f68f93af5ec9f00f6d435199817100

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. Pierre Pinson
2. Henrik Madsen
3. Juan M. Morales
4. Marco Zugno
5. Mark J. O'Malley
6. Rafal Weron
7. Antonio J. Conejo
8. Janina Ketterer

In Renewable Energy, Sustainability and the Environment

1. Pierre Pinson
2. Henrik Madsen
3. Juan M. Morales
4. Mark J. O'Malley
5. Marco Zugno

Citations in the corpus

• Benefits and challenges of electrical demand response: A critical review (2014, background): “While residential loads have been demonstrated as possessing a great potential for demand peak reduction and shifting over many hours [39], the greatest potential for net welfare gain may lie with industrial and commercial loads.”
• A bilevel model for electricity retailers' participation in a demand response market environment (2013, background): “other hand, different economic dispatch models aiming at integrating demand response and wind power were reviewed and compared in Ilić et al. (2011a) and Ilić et al.”
• Characterizing the energy flexibility of buildings and districts (2018, methodology): “It was shown by [21] how the variations in penalties could be used to shift the load from peak hours to off-peak hours.”