Receding Horizon Games with Coupling Constraints for Demand-Side Management
Author:
Affiliation:
1. ETH Zürich Automatic Control Lab,Zürich,Switzerland,8092
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992497.pdf?arnumber=9992497
Reference31 articles.
1. World energy outlook 2021;IEA,2021
2. Demand-Side Management via Distributed Energy Generation and Storage Optimization
3. Efficient Computation for Sparse Load Shifting in Demand Side Management
4. Demand-Side Management With Shared Energy Storage System in Smart Grid
5. Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism
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1. Optimal Bidding Strategies in Network-Constrained Demand Response: A Distributed Aggregative Game Theoretic Approach;2024 European Control Conference (ECC);2024-06-25
2. Joint flexibility-risk managed distributed energy trading considering network constraints and uncertainty;Electric Power Systems Research;2024-06
3. Incentives and Co-Evolution: Steering Linear Dynamical Systems With Noncooperative Agents;IEEE Transactions on Control of Network Systems;2023
4. Receding Horizon Games with Coupling Constraints for Demand-Side Management;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
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