Towards Privacy Preserving Local Energy Markets

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we provide a technical discussion and analysis on emerging privacy preserving local energy trading markets which are based on Game Theoretical Approach where buyers and sellers can trade electricity in (semi-)decentralised manner. Firstly, we present a general overview of Energy Trading Mechanisms and Privacy Enhancing Mechanisms. Secondly, we provide a comparison between privacy preserving market models and provide a further discussion on potential local trading market architectures based on Game Theoretical Approach. Lastly, we provide a technical analysis for the discussed game theoretical market architectures. This paper draws a road-map for future designs of privacy preserving local energy trading markets which are based on Game Theoretical Approach.
Original languageEnglish
Title of host publicationCompetitive Advantage in the Digital Economy (CADE 2022): Resilience, Sustainability, Responsibility, and Identity
Number of pages8
DOIs
Publication statusPublished - 15 Jun 2022

Fingerprint

Dive into the research topics of 'Towards Privacy Preserving Local Energy Markets'. Together they form a unique fingerprint.

Cite this