Energie Informatik

What it is about

You will learn how modern energy systems are formally modeled, simulated and operated with data-driven informatics methods. In the end you will be able to apply forecasting, optimization and control approaches (e.g., ML, optimization, MPC) to energy generation, networks, storage and flexible loads and assess their role in energy management systems.

What you will be able to do

• Understand the physical properties of modern energy systems
• Formal modeling and simulation of energy systems
• Apply mathematical optimization and machine learning for operation management
• Know the role of grid operators and electricity markets
• Understand Smart Grid concepts and components
• Master forecasting techniques for wind and solar generation
• Understand the role of energy storages and cross-sector flexible loads
• Reflect on methods with regard to ecological, social and economic sustainability
• Develop inter- and transdisciplinary approaches to link ecological, social and economic aspects

What the module consists of

• VorlesungConveys concepts on physical behavior, modeling and informatics methods
• ÜbungenApplication of methods introduced in class to practical examples

Teaching method

• Vorlesung mit praktischen BeispielenIntroduction of concepts and illustrating through examples
• ÜbungenApplication and deepening of the presented methods