Modelling Complexity in Energy and System Models

What it is about

In this module you will learn how socio-economic aspects can be modeled in energy systems. You will be given methods (cellular automata, agent-based models, network and sociodynamics) and you can apply them to simple examples as well as write corresponding code.

What you will be able to do

• identify complex socio-economic systems in the energy sector
• explain fundamentals of quantitative modeling techniques
• apply methods to simple examples
• create simple codes for the use cases
• apply AI to support understanding and coding

What the module consists of

• LectureTransmission of methodological fundamentals and overview of topics; accompanied by slides and literature
• ExercisesDeepening through calculations and experimental work on provided programs
• Program examplesContinuous implementation of simple examples in Python for illustration and practice

Teaching method

• Lecture slides and literatureExplanation of theoretical fundamentals
• Practical implementation in PythonMakes concepts accessible and shows practical application
• Accompanying exercisesSolidification through calculations and development of the examples
• Use of modern AI techniquesSupport for understanding and coding
• MoodleCentral provision of materials, sample code and literature