您当前的位置:
首页 >
文章列表页 >
Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information
Modeling of Electricity Market and Game Mechanism | 更新时间:2025-10-11
    • Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information

    • “In the field of renewable energy consumption and electricity market reform, experts have proposed a P2P trading strategy optimization method based on random game theory, which effectively alleviates the impact of incomplete information on transactions, reduces behavioral uncertainty, optimizes trading strategies, and improves economic benefits.”
    • Southern Power System Technology   Vol. 19, Issue 4, Pages: 132-145(2025)
    • DOI:10.13648/j.cnki.issn1674-0629.2025.04.011    

      CLC: TM732
    • Received:18 February 2025,

      Published Online:10 April 2025,

      Published:20 April 2025

    移动端阅览

  • ZHANG Shuai,ZHANG Tao,YANG Yanhong,et al.Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information[J].Southern Power System Technology,2025,19(04):132-145. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.011.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

ZHANG Shuai
ZHANG Tao
YANG Yanhong
MA Tengfei
SHI Jie
SUN Zengfu
CHEN Jie
PEI Wei

Related Institution

No data
0