Demand Response Management via Real-Time Electricity Price Control in Smart Grids

By L. Qian, Ying-Jun Angela Zhang, Jianwei Huang, Yuan Wu. IEEE Journal on Selected Areas in Communications, 2013

301 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8c13049df059699fe25365033b20340ff51b219c

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. Yan Zhang
2. Nizar Zorba
3. Christos V. Verikoukis
4. John S. Vardakas

In Electrical and Electronic Engineering

1. Sabita Maharjan
2. Yan Zhang
3. Nizar Zorba
4. Christos V. Verikoukis
5. John S. Vardakas
6. Dusist Niyato

Citations in the corpus

• A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Similarly, the model in [169] considers multiple appliance’s types; the dual optimization problem of minimizing the electricity cost and maximizing the consumer’s satisfaction is balanced into the optimization problem of maximizing its payoff.”
• Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach (2020, methodology): “The common approach to solve this type of problem is by decomposing (26) into a dual problem [41], [44].”