Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach
By Bo Chai, Jiming Chen, Zaiyue Yang, Yan Zhang. IEEE Transactions on Smart Grid, 2014
373 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/f8e38fb3d08848b343fcf825aaf45a229c7bc4f8
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
- Kalpesh Chaudhari
- C. Long
- Mo-Yuen Chow
- Hoay Beng Gooi
- Amrit Paudel
- Zaiyue Yang
- Jiming Chen
- Ruilong Deng
In Electrical and Electronic Engineering
- Kalpesh Chaudhari
- C. Long
- Mo-Yuen Chow
- Chunhong Zhang
- Jian Ma
- Hoay Beng Gooi
- Panpan Zhan
- Amrit Paudel
Citations in the corpus
- Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model (2019, methodology): “They are logarithmic utility function [14]–[17], [25] and quadratic utility function [18], [19], [24].”
- A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “With such complicated interactions, some sophisticated hierarchical games shall be leveraged to shed light on the multiseller–multibuyer demand response problem, such as Stackelberg games [92], [93], where power utilities play a noncooperative game and users play an evolutionary game, converging to ”
- Energy Storage Sharing in Smart Grid: A Modified Auction-Based Approach (2015, neutral): “not new in the smart grid paradigm and have been discussed in [11], [15], and [16].”
- A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network (2018, background): “Demand Response Management (DRM) is one of the main features in smart grid that helps to reduce power peak load and variation [1].”