Research Information System
8th Competitive Advantage in the Digital Economy, CADE 2022, Venice, Virtual, Italy, 13 - 15 June 2022, vol.2022, pp.127-134, (Full Text)
In this paper, we provide a technical discussion and analysis of emerging privacy-preserving local energy trading markets based on a game theoretical approach where buyers and sellers can trade electricity in a (semi-)decentralised manner. Firstly, we present a general overview of energy trading mechanisms and privacy-enhancing techniques. Secondly, we compare privacy-preserving market models and provide a further discussion on potential local trading market architectures based on a game theoretical approach. Lastly, we provide technical analysis for the discussed game-theoretical market architectures. This paper draws a roadmap for future designs of privacy-preserving local energy trading markets, which are based on a game theoretical approach.