Power-disturbance monitoring is one of the important aspects of dealing with power quality issues in electrical systems. The aim of conducting the monitoring process is to identify the real cause of the power quality (PQ) problem. One of the vital steps during the monitoring process is classifying the various types of power disturbance. This classification process is very important to propose the correct mitigation technique. In order to produce a reliable classification technique, it is important to deploy the devices which can accommodate the software and hardware. The software is in need for algorithm development such as signal processing, Artificial Intelligent (AI), and statistical analysis. For the hardware, the device’s ability to acquire the electrical parameter within the electrical system operation is very important. The data acquisition based on the voltage and current is essential too for the classification algorithm of the software. This webinar focusses on how the power-disturbance monitoring system is developed to accommodate the real data acquisition needed and how to pave a path towards intelligent system for power-disturbance monitoring from a power-quality perspective. Listen to the insights given by Professor Madhya Ir. Dr Ahmad Fariq Abidin, P. Eng, who has more than 20 years experience in the areas of power and energy via the video below.