Description
- Participants of the course are allocated individual research topics to work over the seminar course. Group works are possible.
- A kickoff session will be conducted to introduce the course and topics.
- Attendance is only mandatory on the proposal and final presentation dates.
- Regular follow-up meetings with the participants and supervisor are held to aid the participants with the seminar tasks.
The seminar tries to mimic the event flow of a conference publication. Therefore, the deliverables are the following:
- a scientific paper (submitted as the seminar report).
- a conference-style final presentation.
More details on ECTS, learning outcomes, etc is offered at the kickoff session and later on moodle.
Topic Allocation
To apply for topics, the top 3 topics and the current transcript of records must be sent to a.k.schneider@tum.de. Applications will only be accepted from 27.09.24. Information on deadlines can be found in the next section.
Process and Time Line (Winter semester 2024/25)
Topics are chosen in two blocks. Students who want to be sure of getting a fixed place in the seminar before the start of the semester must apply by 04.10. (12 noon). These students will be informed on 07.10. which topic they will be working on.
Students who want to apply later can do so until 18.10. and will then be informed on 21.10. whether they could still get a place in the seminar.
The most important dates for the seminar are summarized below:
Registration period: 27.09.24 - 18.10.24.
First deadline for submitting the top 3 topic requests: 04.10.24, 12 noon.
Assignment of topics block 1: 07.10.24
Kick-off (introduction to the seminar, presentation of the topics still available): 16.10.24, 3pm-4:30pm, room N3815.
2. deadline for submission of the top 3 topic requests: 18.10.24, 12 noon.
Assignment of topics block 2: 21.10.24
Proposal Presentations: November 06 & 13, 2024, 3pm-4:30pm, N3815.
Final Presentations: January 29 & February 05, 2025, 3pm-4:30pm, N3815.
Acronym | Topic description | Required skills | Contact | Time Topic Added |
---|---|---|---|---|
DEEP_NILM | Deep Learning for Energy Disaggregation Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
DEEP_HEAT | Deep Reinforcement Learning for HVAC Control Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
ES_EVAL | Techno-Economic Evaluation of Combined Energy Storage Technologies in Neighborhoods Research method: Data Analysis & Modeling Research question:
Possible approach:
|
| Christoph Goebel | 04/2023 |
DEEP_WIND | Deep Learning for Wind Power Prediction Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
LEM_GRID_CONSTRAINTS | Impact of Local Energy Markets on Distribution Grid Stability Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
DL_DG_ESTIMATION | Deep Learning based Estimation of Distribution Grid State Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
DYN_BAT_AGE_PRED_CONTROL | Integration of a dynamic aging prediction for Li-ion batteries in EMS control Research method: prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
BAT_AGE_PRED | Machine learning-based prediction of battery aging Research method: prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
RC_MODELS | R-C Models for Heat Transfer in Buildings Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
RC_MODEL_FITTING | Using EnergyPlus to fit R-C Models Research method: Prototyping Research question:
Possible approach:
|
| Christoph Goebel | 09/2023 |
FMI_RT | Real-time Simulation of Functional Mockup Units Research method: Prototyping Research question:
Possible approach:
| Basic Python or Julia programming skills | Sebastian Eichhorn sebastian.eichhorn@tum.de | 04/2024 |
DIST_LEMLAB | Distributed Implementation of lemlab Background: lemlab is a simulation tool for local energy markets, code if open-source Research method: Prototyping Research question:
Possible approach:
| Good Python programming skills, knowledge of Docker and ideally Kubernetes | Christoph Goebel | 09/2023 |
COMP_HH_ENERGY_SIM | Containerization and Comparison of Household Energy Demand Simulation Tools Research method: Prototyping Research question:
Possible approach:
| Python programming skills, knowledge of Docker | Christoph Goebel | 09/2023 |
DATA_PLATFORM | Data Platforms an their Way to Success Research method: Literature Research In the energy domain, there are several open data platforms, but none of it seems to be highly successful and actually attract a large user base. In other domains, platforms like "Hugging Face" celebrate huge success and truly accelerate research in their field. Research question:
Possible approach:
|
| Annika Schneider | 03/2024 |
LDM | TUM-EMT x Leibniz - Will the Leibniz Data Manager revolutionize our Research Data Management? Research Method: Literature Review & Prototyping Research Question:
Possible Approach:
|
| Annika Schneider | 03/2024 |
PINN_Sim | Physics Informed Neural Networks (PINN) for Transient Power Grid Simulations Research method: Literature Review/Prototyping Research question:
Possible approach:
| Profound understanding of Machine Learning Technologies, Power System Simulation and advanced Python coding | Sebastian Eichhorn sebastian.eichhorn@tum.de | 04/2024 |
EMS_COMM | Evaluating the Next-Generation of EMS Communication Research method: Literature Review Research question:
Possible approach:
| Interest in Energy Management Systems, IoT, or Distributed Energy Resources | Ehimare Okoyomon | 04/2024 |
COMP_ENERGY | Evaluating the Energy Impact of Computation for Machine Learning Research method: Literature Review / Prototyping Research question:
Possible approach:
| Interest in Computational Energy Interest in ML and computer architectures Basic Python skills | Ehimare Okoyomon | 04/2024 |
IMPL_HP | Implementation of a Paper with Heat Pump Model and Thermal Storage Research method: Prototyping Research question:
Possible approach:
|
| Elgin Kollnig Simon Zollner | 04/2024 |
IMPL_AGING | Implementation of various Battery Ageing Models in an Energy Management System Research method: Prototyping Research question:
Possible approach:
|
| Elgin Kollnig Simon Zollner | 04/2024 |
COMP_LOAD | Comparison of different methods for household load forecasting Research method: Literature review/Prototyping Research question:
Possible approach:
|
| Elgin Kollnig | 04/2024 |
FLEXI_QUANT | Quantification of flexibility Research method: Literature review Research question:
Possible approach:
| Elgin Kollnig | 04/2024 | |
FLEXI_PRICE | Pricing of flexibility Research method: Literature review Research question:
Possible approach:
| Elgin Kollnig | 04/2024 | |
FED_HOU | Federated machine learning for household load forecasting Research method: Prototyping Research question:
Possible approach:
|
| Jan Marco Ruiz de Vargas | 04/2024 |