Intelligent Decision Making in Power Quality

Decision making is one of the important aspects on dealing power quality issue in electrical system. The aims of conducting Decision Making process are to identify the real culprit which contribute to the Power Quality (PQ) problem. One of the vital steps on decision making aspect in PQ is the classification for difference issue in PQ aspect. This classification process is very important to give a right direction towards proposing the correct mitigation technique. In order to develop the reliable decision-making scheme, the fast and accurate classification of PQ issue need to be deployed. The use Intelligent computational approach such as Artificial Intelligence, Machine Learning and Deep Learning along with various signal processing technique have offered a vast opportunity in this research area. Hence, this keynote will focus on the direction of the Intelligent Decision Making in PQ area which pave a path towards new body of knowledge in this research area.