Praktikum Energy Informatics

What it is about

You work on practical tasks related to data-driven forecasting and optimization methods for energy management systems. In the end you will be able to use Python and Jupyter Notebooks for the analysis of energy-relevant datasets as well as apply ML and optimization algorithms in selected use cases.

What you will be able to do

• Understand the use of modern computational and informatics methods in energy management
• Use Python and Jupyter Notebooks for data analysis and modeling
• Analyze energy datasets
• Apply machine learning algorithms in energy management use cases
• Apply optimization methods in energy management use cases
• Reflect on the methods in the context of ecological, social, and economic sustainability
• Develop inter- and transdisciplinary approaches to connect ecological, social and economic aspects

What the module consists of

• PraktikumWorking on several practical tasks, programming exercises on one's own PC, preparing written reports and presentations
• PräsentationPresentation and discussion of the work results to the group

Teaching method

• Aufgabenbeschreibung per Folien und Handoutsprovides the tasks and materials
• Live-Coding-Demonstrationenshows programming techniques in practice
• Programmieraufgaben auf eigenen PCsenables independent implementation and practice
• Vor-Ort-Unterstützung während Kontaktzeitenoffers direct help with programming tasks
• Präsentation und Diskussionpromotes exchange and reflection of the results
• Schriftliche Berichtedocument the work and results