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https://hdl.handle.net/10356/157902
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. https://hdl.handle.net/10356/157902 | 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. | URI: | https://hdl.handle.net/10356/157902 | 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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File | Description | Size | Format | |
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A1073-211_Danny_Final_Report.pdf Restricted Access | 3.9 MB | Adobe PDF | View/Open |
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