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http://dx.doi.org/10.5855/ENERGY.2019.28.4.076

A Study on the Production and Consumption Authentication Power Trading System based on Big Data Analysis using Blockchain Network  

Kim, Young-Gon (Advanced Institutes of Convergence Technology(AICT) Seoul National University)
Heo, Keol (Advanced Institutes of Convergence Technology(AICT) Seoul National University)
Choi, Jung-In (Advanced Institutes of Convergence Technology(AICT) Seoul National University)
Publication Information
Journal of Energy Engineering / v.28, no.4, 2019 , pp. 76-81 More about this Journal
Abstract
This paper is a review of the certification system required for various energy prosumer business models, including P2P energy trading and participation in small demand response programs, which are based on reliable production and consumption certification. One of the most important parameter in energy trading is ensuring the reliability of trading account balancing. Therefore, we studied to use big data pattern analysis based blockchain smart contract between trading partners to make its tradings are more reliable. For this purpose big data analysis system collected from the IoT AMI and a production authentication system using a private blockchain network linked with the AMI is discussed, using the blockchain smart contract are also suggested. Futhermore, energy trading system concept and business models are introduced.
Keywords
energy trading; blockchain; big data; energy cloud; A.I;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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