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Title: Blockchain and machine learning applications for smart grid
Authors: Ng, Danny Chun Wei
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Ng, D. C. W. (2022). Blockchain and machine learning applications for smart grid. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A1073-211
Abstract: With the rise of shifting from a centralised to a decentralised operation and eliminating intermediation by a third party, peer-to-peer has received much popularity in the energy industry. Peer-to-peer (P2P) allows buyers and sellers to transact directly with each other on a P2P network which reduces operational costs compared to a traditional market. In a traditional energy market, buyers and sellers must buy or sell through an intermediary at a fixed price. Hence restricts the buyers and sellers from buying or selling at the desired price. This project aims to create a double auction energy market with peer-to-peer service on a blockchain. Firstly, double auction market functions were programmed onto smart contracts. Secondly, a private blockchain was created to deploy the smart contract. Finally, a front-end web page was built and integrated with the smart contract to simulate an actual double auction marketplace.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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