Prof. Dr.-Ing. Martin Braun
Projects as Co-Investigator
01/2020 - 12/2022 | |
01/2015 - 12/2017 | |
Publications
2021 | Schön, A., Ringelstein, J., Hammermeister, I., Braun, M., Wille-Haussmann, B., Marchand, S., Ruhe, S., Nicolai, S., 2021. Testing Automated Operation and Control Algorithms for Distribution Grids Using a Co-simulation Environment, in: ETG (Hrsg.), ETG Congress 2021. VDE, S. 1–6. |
2021 | Loeser, I., Braun, M., Gruhl, C., Menke, J.-H., Sick, B., Tomforde, S., 2021. Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. ArXiv e-prints TBD. https://doi.org/10.48550/arXiv.2112.07507 |
2020 | Liu, Z., Wende-von Berg, S., Banerjee, G., Bornhorst, N., Kerber, T., Maurus, A., Braun, M., 2020. Adaptives statisches Netzäquivalent mit künstlichen neuronalen Netzen, in: Institut für Elektrizitätswirtschaft und Energieinnovation (Hrsg.), 16. SYMPOSIUM ENERGIEINNOVATION. S. 1–11.Then, D., Hein, P., Kneiske, T., Braun, M., 2020. Analysis of Dependencies between Gas and Electricity Distribution Grid Planning and Building Energy Retrofit Decisions. Sustainability 12, TBD. https://doi.org/10.3390/su12135315 |
2020 | |
2020 | |
2020 | |
2020 | |
2020 | Menke, J.-H., Dipp, M., Liu, Z., Ma, C., Schäfer, F., Braun, M., 2020. Applications of Artificial Neural Networks in the Context of Power Systems, in: Sayed-Mouchaweh, M. (Hrsg.), Artificial Intelligence Techniques for a Scalable Energy Transition. Springer International Publishing, Cham, S. 345–373. https://doi.org/10.1007/978-3-030-42726-9_13 |
2020 | |
2020 | |
