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Peer-to-Peer EnergyTrade: A Distributed Private Energy Trading Platform
Blockchain is increasingly being used as a distributed, anonymous, trustless framework for energy trading in smart grids. However, most of the existing solutions suffer from reliance on Trusted Third Parties (TTP), lack of privacy, and traffic and processing overheads. In our previous work, we have proposed a Secure Private Blockchain-based framework (SPB) for energy trading to address the aforementioned challenges. In this paper, we present a proof-on-concept implementation of SPB on the Ethereum private network to demonstrates SPB's applicability for energy trading. We benchmark SPB's performance against the relevant state-of-the-art. The implementation results demonstrate that SPB incurs lower overheads and monetary cost for end users to trade energy compared to existing solutions.
- Queensland University of Technology Australia
- University of Sydney Australia
- UNSW Sydney Australia
- Commonwealth Scientific and Industrial Research Organisation Australia
FOS: Computer and information sciences, Computer Science - Cryptography and Security, 330, Energy trading, 004, Blockchain, Proof-of-concept, Cryptography and Security (cs.CR)
FOS: Computer and information sciences, Computer Science - Cryptography and Security, 330, Energy trading, 004, Blockchain, Proof-of-concept, Cryptography and Security (cs.CR)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).28 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
