Application of Big Data and AI/ML in monitoring, operations, planning and protection

This panel will discuss the uses of data driven, Machine Learning (ML) and Artificial Intelligence (AI) for automated analysis of various power system events and disturbances that may affect reliability and resilience of power system operation. Such solutions are aimed at assisting operators in their decision-making tasks in the situations when time-sensitive decisions need to be made under a stress of dealing with real time decisions or under the situations where large amounts of data if processed timely can give some predictions about upcoming events. The panelist comes from industry and research organizations, so the end-user requirements and benefits will be looked at from the time a new solution is conceived until the time it is applied using field data and scenarios. Presentations in this panel session: - Topology aware Machine Learning for Transmission System Operation (23PESGM2707) - Machine Learning Based State Estimation for Transmission Systems (23PESGM2708) - ML-Assistant For Human Operators in Processing Power System Alarm Data (23PESGM2709) - Application of Real-Time Digital Twin Simulation with WAMS for Dynamic Security Improvement of Power Systems (23PESGM2710) - Machine Learning to Prevent Blackouts in Power Systems (23PESGM2712) - Early Warning and Prevention of System Stability Problems (23PESGM2713)