  The widespread use of information and communication technology (ICT) over the
course of the last decades has been a primary catalyst behind the
digitalization of power systems. Meanwhile, as the utilization rate of the
Internet of Things (IoT) continues to rise along with recent advancements in
ICT, the need for secure and computationally efficient monitoring of critical
infrastructures like the electrical grid and the agents that participate in it
is growing. A cyber-physical system, such as the electrical grid, may
experience anomalies for a number of different reasons. These may include
physical defects, mistakes in measurement and communication, cyberattacks, and
other similar occurrences. The goal of this study is to emphasize what the most
common incidents are with power systems and to give an overview and
classification of the most common ways to find problems, starting with the
consumer/prosumer end working up to the primary power producers. In addition,
this article aimed to discuss the methods and techniques, such as artificial
intelligence (AI) that are used to identify anomalies in the power systems and
markets.
