Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview
Tahir Cetin Akinci,
Gokhan Erdemir,
A. Tarik Zengin
et al.
Abstract:This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC systems constitute a critical component within the domains of energy management, monitoring, and automation. The fundamental objective herein is to contribute significantly to the scholarly discourse by conducting a comprehensive review encompassing research investigations and practical applications documented in the extant lit… Show more
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