Demand response in electrical energy supply: An optimal real time pricing approach

By Pedro Faria, Zita A. Vale. 2011

341 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c7c89079e44bdcef0753db1ca96c2651872352a6

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. Ming Jin
2. Costas J. Spanos
3. Nizar Zorba
4. Christos V. Verikoukis
5. W. Feng
6. Chris Marnay
7. John S. Vardakas
8. Renzhi Lu

Citations in the corpus

• A day-ahead electricity pricing model based on smart metering and demand-side management (2012, background): “In most of the previous related literature work except [4,16,17], optimal RTP is not discussed.”
• Microgrid to enable optimal distributed energy retail and end-user demand response (2018, background): “We focus our attention onown-price elasticity, which limits the influence of price on demands in the same time period, since it is sufficient for capturing how customers adjust their consumption to price changes [34].”
• A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Customers that do not respond to these options receive a number of penalties that are defined in the program’s terms and conditions [137].”