The Role of Aggregators in Smart Grid Demand Response Markets

By Lazaros Gkatzikis, Iordanis Koutsopoulos, Theodoros Salonidis. IEEE Journal on Selected Areas in Communications, 2013

493 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c2de801a5230e35e736414b7aed6c73da074d389

How researchers see this paper

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

In Control and Systems Engineering

1. ShengWei Mei
2. João P. S. Catalão
3. Feng Liu
4. Wei Wei

In Electrical and Electronic Engineering

1. M. Shafie‐khah
2. ShengWei Mei
3. João P. S. Catalão
4. Feng Liu
5. Wei Wei
6. Malcolm Duncan McCulloch
7. Thomas Morstyn

Citations in the corpus

• Energy Storage Sharing in Smart Grid: A Modified Auction-Based Approach (2015, unknown): “, through aggregation such as discussed in [38] and [39].”
• A Stochastic Multi-Layer Agent-Based Model to Study Electricity Market Participants Behavior (2015, background): “It should be noted that function may be taken to be convex, since the differential dissatisfaction of a user increases by augmenting the amount of deviation of the reference power consumption [16].”
• Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty (2015, background): “Its task is to provide users with advanced metering data, and to negotiate on behalf of the residential appliances with the operator more efficiently [4].”