Artificial Intelligence-Assisted Edge Computing for Wide Area Monitoring

The massive digital information generated in conjunction with the ever-increasing phasor measurement data power grid has led to a tremendous constraint on analysis and timely processing of real-time data. Under these conditions, leveraging Artificial Intelligence (AI) can play crucial role assisting more efficient analysis. In this paper an AI-assisted event classification method is proposed, which aims at improving overall system performance. Furthermore, edge cloud sharing scheme introduced for large-scale system. To balance load reduce maximum time, multiple node-based developed. simulation results verify that proposed method, together scheme, significantly improve performance