DTU CEE Summer School 2020
Advanced Optimization, Learning, and Game-Theoretic Models in Energy Systems
DTU CEE Summer School brings together academics and industry professionals from around the world, in an intensive 5-day course, where they learn about the latest developments in advanced optimization, learning, and game-theoretic models in energy systems, connect, and exchange ideas. Distinguished speakers from the US and Europe, excelling both in research and teaching, are invited to give lectures both providing the fundamentals and introducing advanced topics in their field.
The DTU CEE Summer School 2020 aims to give participants practical experience with the latest developments in advanced optimization, learning, and game-theoretic models in energy systems. Participants of the course will:
- Gain practical experience with advanced optimization, learning, and game-theoretic models applied to energy systems
- See relevant examples of these techniques used in cutting-edge research
- Sharpen their peer review and feedback skills by reviewing other participants’ work
The summer school focuses in particular on machine learning, stochastic programming, model predictive control, optimization, equilibrium models, forecasting and their applications to power systems.