Demand response management of smart grid based on Stackelberg-evolutionary joint game
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-022-3674-6.pdf
Reference40 articles.
1. Lu T G, Chen X Y, McElroy M B, et al. A reinforcement learning-based decision system for electricity pricing plan selection by smart grid end users. IEEE Trans Smart Grid, 2021, 12: 2176–2187
2. Ghosal A, Conti M. Key management systems for smart grid advanced metering infrastructure: a survey. IEEE Commun Surv Tutorials, 2019, 21: 2831–2848
3. Yang J J, Zhao J H, Luo F J, et al. Decision-making for electricity retailers: a brief survey. IEEE Trans Smart Grid, 2018, 9: 4140–4153
4. Wan Y N, Qin J H, Yu X H, et al. Price-based residential demand response management in smart grids: a reinforcement learning-based approach. IEEE CAA J Autom Sin, 2022, 9: 123–134
5. Cheng L F, Yu T. Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: an overview. IEEE Access, 2019, 7: 25727–25762
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1. Demand Response Analysis and Its Application to Smart Grids: A Evolutionary Game Method;Communications in Computer and Information Science;2024
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