Completed work
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Completed work
2025
- StudyCards - a digital game to facilitate the study entry phase
- Development of a nowcasting approach for maritime coal handling
- Development of an interactive front end for an agent control centre
- Automatic Extraction of Research Software Metadata with AI
- Engineering an Interactive Simulation and Visualisation for Households and Energy Communities
- Data-Based Modelling and Forecasting of a Photovoltaic System Using Machine Learning
- Procedure Model for the Systematic Analysis and Evaluation of Fairness in Cooperative Multiagent Systems for Flexibility Marketing
- Ontologies for CodeMeta
- Power to the people: Distributive justice for agent-based load management in low-voltage grids
2024
- Development of an intuitive and user-friendly user interface (UI) for a metadata tool for energy researchers in the context of human-computer interaction
- Embedding of Scientific Publications with Machine LearningMaster thesis, Melchior Schilewa
- Predictive maintenance in a real server environment using Transformer
- Comparison of Reinforcement Learning Algorithms for the Optimal Power Flow Problem, Master thesis, Lorenz Mumm
- Development of a bidding strategy using reinforcement learning: An investigation on the day-ahead and primary control power market
2023
- Modelling and simulation of digital twins in Formula 1
- Development of a digital version of the serious game board game "Changing the Game"
- Development of a community-driven platform for open scientific publishing and open review
- Development of a metadata schema for energy research scenarios
- Development and analysis of an AI-supported energy spot market simulation
- Developing a Self-Organised Energy Management System for Micro Grids
- Comparison of ontologies in energy research, Master's thesis, Alexandro Steinert
- Comparison of reinforcement learning and supervised learning in a deep learning model on the optimal power flow problem, Bachelor thesis, Keno Ortmann
- Applying reinforcement learning to electric power auction bidding in a modular multi-agent co-simulation.
- Metheuristic methods for the distributed operation of multi-energy systems
2022
- Deep reinforcement learning for complex optimal power flow problems
- Generation of randomised training data for machine learning methods in energy systems
- Fine-grained visual categorisation of birds in images using deep learning
- Comparison of learning approaches for distributed anomaly detection in agent-based cyber-physical energy systems, Master thesis, Julia Heiken
- Assisted creation of FAIR metadata for energy data
- Evaluation of multi-agent learning in Unity ML agents
- Approximating bidding behaviour on the electricity market with multi-agent deep reinforcement learning
- Evaluation of deep learning based anomaly detection algorithms in CPES
- Comparison of deep reinforcement learning algorithms for the optimisation of energy systems
- Effective constraint satisfaction for Deep Reinforcement Learning approaches to Optimal Power Flow problems, Bachelor thesis, Fenno Boomgaarden
- Evaluation of the multilevel immune learning algorithm for anomaly detection in cyber-physical energy systems
- Anomaly detection in server log data
- Literature analysis, modelling and evaluation of faults in cyber-physical energy systems, Bachelor thesis, Malte Südema
- Automated creation of technical research software metadata from a Gitlab repository
- The first step towards the heat transition: A data modelling of heat supply and consumption at the University of Oldenburg
- Literature research: Types of energy research software
- Optimal power flow with model-based deep reinforcement learning
- A decaying market platform for hierarchical balancing power auctions
- Data blending from heterogeneous data sources in virtual research environments at the Data Centre of the Alfred Wegener Institute
2021
- Automated anomaly detection using machine learning: A performance comparison on electricity consumption data of industrial companies
- Investigation and characterisation of energy research software using the FAIR criteria
- Automated data quality assurance for the direct marketing of renewable energies
- Creation of web-based learning software for the Promethee process
- Development of an observer for anomaly detection in agent-based cyber-physical energy systems
- Implementation of a distributed control power market: game-theoretical and agent-based modelling, Master's thesis, Gesa Ohlendorf*
- Analysis of models for unified modelling of the operational flexibility of different plant types in energy systems, Master's thesis, Jonathan Brandt*
- Investigation and characterisation of market data from various energy markets based on the FAIR principle
- Data augmentation of training data sets for machine learning processes in energy systems
- Development of a cross-grid reactive power market, Master's thesis, Jan Bozionek*
- A form generator for Stud.IP for the digitalisation of processes at the Examinations Office
- Stud.IP tool for the creation of module descriptions
- Development of a Stud.IP plugin for the administration of module components
- Development of a Stud.IP plugin for topic management of final theses