Development of Adaptive and Intelligent Methods for Power Quality Monitoring – Doctoral Research Topic

About the Project

The objective is to develop adaptive and intelligent methods for power quality monitoring in emerging power grids. The transition from the conventional grid to the modern, intelligent grid known as smart grid is influenced by several economic, social and technical factors, that brought different stages of automation, transformation and evolution in the grid. Smart grid combines myriad of technologies like information, communication, and power system engineering with computational intelligence. Thus, more sophisticated techniques are required to monitor, diagnose, control, and protect the grid operation and its behaviour. Considering these aspects, the current work focuses on developing adaptive and intelligent methodologies for power quality monitoring. The methodology will comprise of combining methods from signal processing, deep learning, artificial intelligence etc. Publication of results will be an integral part of the PhD program

Department & Campus

Center for Computational Engineering and Networking (CEN), School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

Skillsets Preferred from Applicants

The candidate should possess an M. Tech. degree in Computer Science/ Signal Processing/ Data Science/ Artificial Intelligence/ Computational Engineering/ Electrical and Electronics Engineering/ Electronics and Communication Engineering or related domain Programming in Python/MATLAB, Knowledge in AI, Machine Learning and Deep Learning