MCP

Integrated Learning and Optimization and Computationally Efficient Model Predictive Control for Power Systems Applications

Imran Pervez, Ph.D. Student, Electrical and Computer Engineering

Oct 5, 16:00 - 19:00

B4 R5209; Zoom Meeting 96126193341

MCP power systems integrated machine learning optimization Advanced control systems engineering

This dissertation studies novel model predictive control and integrated learning-optimization methodologies that enable computationally efficient, robust, and scalable real-time control and decision-making in modern power systems, improving renewable microgrid operation, electricity market performance, and optimization under uncertainty.