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Course: Advanced Optimization and Game Theory for Energy Systems This is an online intense PhD-level course that took place during the first 3 weeks of January 2021 with 120 students from all over the world. Lecturer: Jalal Kazempour (Technical University of Denmark, DTU) Slides are available at: https://www.jalalkazempour.com/teaching Course description: https://kurser.dtu.dk/course/46925 Course content (all video lectures are available in this channel): Course introduction Lecture 1: Market clearing as an optimization problem Lecture 2: Market clearing as an equilibrium problem Lecture 3: Desirable properties of market-clearing mechanisms Lecture 4: Market clearing using a cooperative game approach Lecture 5: Stochastic market clearing Lecture 6: Robust approaches for market clearing Lecture 7: Bilevel programming in energy systems Lecture 8: Optimization problems with decomposable structure Lecture 9: Benders’ decomposition: Theory Lecture 10a: Benders’ decomposition: Applications Lecture 10b: Nested Benders’ decomposition Lecture 11: Augmented Lagrangian relaxation Lecture 12: Variants of ADMM and applications