 power quality has become increasingly important as the number of renewable and distributed sources of electricity increases. These sources can cause power quality issues such as voltage fluctuations, frequency variations, and harmonic distortion. Additionally, non-linear and unbalanced loads, electric vehicle deployments, and the need for improved real-time PQ monitoring, fault diagnosis, IT, and advanced control and communication techniques have made power quality even more critical. To address these challenges, it is necessary to re-evaluate power quality requirements and build a smart, self-healing power grid. Early detection of power system disturbances, maximizing productivity, and minimizing power system downtime can be achieved by using signal processing and pattern recognition techniques for monitoring purposes. This article was authored by Zakaria Ubrahim, Yasin Amirat, Mohamed Ben-Buzzid, and others.