Masterarbeit "Nachfrageprognose mit KI"

The Fraunhofer Institute for Solar Energy Systems ISE in Freiburg Germany is the largest solar research institute in Europe. With a staff of about 1400 we are committed to promoting a sustainable economic secure and socially just energy supply system based on renewable energy sources. We contribute to this through our main research areas of energy provision energy distribution energy storage and energy utilization. Through outstanding research results and successful industrial projects spin-off companies and global collaborations we are shaping the sustainable transformation of the energy system.

For our group Energy Systems and Energy Economics we are looking for a student assistant with the opportunity to write the masters thesis.

The Energy Systems and Energy Economics group at Fraunhofer ISE is concerned with the analysis and evaluation of energy systems energy technologies and issues relating to the energy transition. The REMod energy system model is used to calculate and optimise transformation paths of the German and European energy system (incl. consumption sectors transport buildings industry) up to the year 2050. The model uses simulation-based optimisation which is solved with an evolutionary optimisation algorithm (julia programming language used). Due to ongoing model extensions the complexity of the model increases and thus also the optimisation times. The aim of the master thesis on Analysis and comparison of different optimisation algorithms for the solution of a simulation-based energy system model is to investigate the convergence behaviour and robustness of the algorithm used (CMA-ES) to adapt the implementation of the optimisation if necessary and to compare it with an alternative algorithm in order to develop recommendations for a reduction of the computing time.

Was Du bei uns tust

• You familiarise yourself with the optimisation approach of the REMod energy system model.
• You analyse the convergence behaviour and the robustness of the results of the existing optimisation algorithm (CMA-ES).
• You create an overview of alternative evolutionary optimisation algorithms and implement one of them.
• You compare the convergence behaviour and robustness of the results of the two optimisation algorithms.

Was Dumitbringst

• You are studying mathematics computer science physics or comparable.
• You have basic knowledge of optimisation and variance of results.
• You already have programming experience ideally in Python Julia or comparable.
• You have a fundamental interest in energy systems and their technical economic and political contexts.
• You are a team player and have a committed and independent way of working.
• You can express yourself confidently in either German or English.

Was Duerwarten kannst

• You will work with one of the most popular employers on par with the best.
• Open-minded colleagues are happy to welcome new talents into their ranks.
• We offer flexible working time models and give you the opportunity to occasionally work from home.
• We foster a cooperative working atmosphere and open communication.
• We value equal opportunities and allow room for diversity.
• We offer attractive sport and health programs and after-work activities.

Zustzlich zu der Abschlussarbeit wir ein Vertrag als Wissenschaftliche Hilfskraft vereinbart. DIe Vergtung hierfr richtet sich nach dem Abschlussgrad deiner Hochschulausbildung.

Wir wertschtzen und frdern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begren daher alle Bewerbungen unabhngig von Alter Geschlecht Nationalitt ethnischer und sozialer Herkunft Religion Weltanschauung Behinderung sowie sexueller Orientierung und Identitt.Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.

Haben wir Dein Interesse geweckt Dann bewirb Dich jetzt online mit Deinen aussagekrftigen Bewerbungsunterlagen(inklusive Lebenslauf Anschreiben sowie gegebenfalls Zeugnisse/Leistungsnachweise). Wir freuen uns darauf Dich kennenzulernen!

Questions are answered by:

Hannah Nolte

Email:

Fraunhofer-Institut fr Solare Energiesysteme ISE

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