About Imran Pervez Imran Pervez Ph.D. Student, Electrical and Computer Engineering power systems optimization Advanced control systems engineering renewable energy integration data-driven planning and operation Imran Pervez's research focuses on integrating machine learning, optimization, and advanced control methodologies for power systems, with applications in renewable energy integration, stochastic and robust model predictive control, and data-driven decision-making to improve the efficiency, reliability, and economic performance of modern energy systems. Events Presented Events Oct 4 - Oct 10, 2026 Integrated Learning and Optimization and Computationally Efficient Model Predictive Control for Power Systems Applications Imran Pervez, Ph.D. Student, Electrical and Computer Engineering Oct 4, 17:00 - 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.
Integrated Learning and Optimization and Computationally Efficient Model Predictive Control for Power Systems Applications Imran Pervez, Ph.D. Student, Electrical and Computer Engineering Oct 4, 17:00 - 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.
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