Anomaly detection in smart grids using machine learning

• Main Author: Li, Xiang
• Other Authors: Tay Wee Peng
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
• Online Access: https://hdl.handle.net/10356/162511
• Institution: Nanyang Technological University

Today’s smart power system is threatened by an increasing number of cyberattack events, fast and accurate detection of attack events is essential for the safe and reliable operation of the smart grid. In this dissertation, anomaly detection strategies based on reinforcement learning (RL) are propose...