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Supervised Machine Learning in Digital Power Line Communications

Authors:
Kushal Thapa
Stan McClellan
Damian Valles

Keywords: power line communications; PLC; machine learning; ML; smart grid

Abstract:
Power Line Communications (PLC) is a technology that uses power lines to transport communication data alongside the AC electric signals. Due to the highly penetrative pre-existing power grid infrastructure, PLC has a huge networking potential, especially in the implementation of smart grid technologies. However, PLC medium poses a major hindrance in the form of poor signal propagation. Traditional signal processing measures are not enough to demodulate these poor signals at the receiver end. To overcome this challenge, we are investigating Machine Learning (ML) as a supplement to the traditional digital signal processing techniques in this project. Our project focuses on testing and comparing various supervised machine learning and deep learning algorithms for the purpose of digital PLC bit classification.

Pages: 16 to 21

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-835-8

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021