Bastian Dietrich M. Sc.

Institute for Production Management, Technology and Machine Tools

ETA | Energy Technologies and Applications in Production


work +49 6151 8229-682
fax +49 6151 16-23782

Work L6|03 (ETA-Fabrik) 103
Eugen-Kogon-Str. 4
64287 Darmstadt

Research Group ETA | Energy Technologies and Applications in Production

Research Focus Energy Management & Monitoring

  • Measurement systems and ICT infrastructure for energy data acquisition
  • Machine Learning for energy system prediction

Since the winter semester 2019/2020, Mr. Dietrich is in charge of the topic “Energy Forecasting” in the lecture Machine Learning Applications of Prof. Weigold in the Master's program. This takes place in collaboration with Prof. Metternich, Prof. Klingauf (FSR) and Prof. Kersting (Department of Computer Science). The lecture combines engineering problems with modern methods of machine learning in the context of artificial intelligence. Starting from the mathematical theory of the methods, relevant practical examples from the manufacturing industry will be used to explain the methods and critically question them from the perspective of engineering science. Examples include the use of machine learning in maintenance, energy management or quality assurance. Within the framework of a practical project, students can test their newly acquired knowledge directly on real data from industry.

Jump to: 2020 | 2019
Number of items: 2.


Dietrich, Bastian ; Walther, Jessica ; Weigold, Matthias ; Abele, Eberhard (2020):
Machine Learning Based Very Short Term Load Forecasting of Machine Tools.
In: Applied Energy, 276, p. 115440. Elsevier B.V., ISSN 03062619,
DOI: 10.1016/j.apenergy.2020.115440,


Walther, Jessica ; Dietrich, Bastian ; Abele, Eberhard (2019):
Generic Machine Learning Approach for Very Short Term Load Forecasting of Production Machines.
In: Proceedings of 11th International Conference on Applied Energy, August 12-15, pp. Paper ID -589,
Västerås (Sweden), [Conference or Workshop Item]

This list was generated on Fri Dec 3 07:20:44 2021 CET.