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Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach. (arXiv:2201.01810v1 [cs.GT])
Jan. 7, 2022, 2:20 a.m. | Kamil Erdayandi, Amrit Paudel, Lucas Cordeiro, Mustafa A. Mustafa
cs.CR updates on arXiv.org arxiv.org
In this paper, we propose a decentralized, privacy-friendly energy trading
platform (PFET) based on game theoretical approach - specifically Stackelberg
competition. Unlike existing trading schemes, PFET provides a competitive
market in which prices and demands are determined based on competition, and
computations are performed in a decentralized manner which does not rely on
trusted third parties. It uses homomorphic encryption cryptosystem to encrypt
sensitive information of buyers and sellers such as sellers$'$ prices and
buyers$'$ demands. Buyers calculate total demand …
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