scholarly journals Privacy impact on generalized Nash equilibrium in peer-to-peer electricity market

Author(s):  
Ilia Shilov ◽  
Hélène Le Cadre ◽  
Ana Busic
2020 ◽  
Vol 282 (2) ◽  
pp. 753-771 ◽  
Author(s):  
Hélène Le Cadre ◽  
Paulin Jacquot ◽  
Cheng Wan ◽  
Clémence Alasseur

Author(s):  
Godwin C. Okwuibe ◽  
Michel Zade ◽  
Peter Tzscheutschler ◽  
Thomas Hamacher ◽  
Ulrich Wagner

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1815
Author(s):  
Longze Wang ◽  
Yu Xie ◽  
Delong Zhang ◽  
Jinxin Liu ◽  
Siyu Jiang ◽  
...  

Blockchain-based peer-to-peer (P2P) energy trading is one of the most viable solutions to incentivize prosumers in distributed electricity markets. However, P2P energy trading through an open-end blockchain network is not conducive to mutual credit and the privacy protection of stakeholders. Therefore, improving the credibility of P2P energy trading is an urgent problem for distributed electricity markets. In this paper, a novel double-layer energy blockchain network is proposed that stores private trading data separately from publicly available information. This blockchain network is based on optimized cross-chain interoperability technology and fully considers the special attributes of energy trading. Firstly, an optimized ring mapping encryption algorithm is designed to resist malicious nodes. Secondly, a consensus verification subgroup is built according to contract performance, consensus participation and trading enthusiasm. This subgroup verifies the consensus information through the credit-threshold digital signature. Thirdly, an energy trading model is embedded in the blockchain network, featuring dynamic bidding and credit incentives. Finally, the Erenhot distributed electricity market in China is utilized for example analysis, which demonstrates the proposed method could improve the credibility of P2P trading and realize effective supervision.


2017 ◽  
Vol 51 (2) ◽  
pp. 329-341
Author(s):  
Nicolas Couellan

In this note, we investigate connections between supervised classification and (Generalized) Nash equilibrium problems (NEP & GNEP). For the specific case of support vector machines (SVM), we exploit the geometric properties of class separation in the dual space to formulate a non-cooperative game. NEP and Generalized NEP formulations are proposed for both binary and multi-class SVM problems.


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