About
Due to the large amount of data from the areas of transportation and energy, we use artificial intelligence to analyze it.
New use cases for artificial intelligence are emerging in the process.
Related Research Projects
Related Transfer Projects
Related Publications
Published
Wacker, B., Seebaß, J. V., & Schlüter, J. C. (2020). A modular framework for estimating annual averaged power output generation of wind turbines. Energy Conversion and Management, 221: 113149. doi:10.1016/j.enconman.2020.113149
Wacker, B., & Schlüter, J. C. (2020). An age- and sex-structured SIR model: Theory and an explicit-implicit numerical solution algorithm. Mathematical Biosciences and Engineering, 17, 5752-5801. doi:10.3934/mbe.2020309
Schröder, M., Bossert, A., Kersting, M., Aeffner, S., Coetzee, J., Timme, M., & Schlüter, J. (2021). COVID-19 in South Africa: outbreak despite interventions. Scientific Reports, 11(1), 1-9.
doi:10.1038/s41598-021-84487-0
Schlüter, J. C., Sörensen, L., Bossert, A., Kersting, M., Staab, W., & Wacker, B. (2021). Anticipating the impact of COVID19 and comorbidities on the South African healthcare system by agent-based simulations. Scientific Reports, 11(1), 1-9.
doi.org/10.1038/s41598-021-86580-w
In Press
Schlüter, J., Bossert, A., Rössy, P., & Kersting, M. (2021). Impact assessment of autonomous demand responsive transport as a link between urban and rural areas. Research in Transportation Business & Management, 39, 100613.
doi:10.1016/j.rtbm.2020.100613
Submitted
Bossert, A., Kersting, M., Timme, M., Schröder, M., Feki, A., Coetzee, J., & Schlüter, J. (2021). Limited containment options of COVID-19 outbreak revealed by regional agent-based simulations for South Africa. F1000Research, 10(98), 98.
doi:10.12688/f1000research.28250.1
Wacker, B., & Schlüter, J. C. (2021). Pipeline for Annual Averaged Wind Power Output Generation Prediction of Wind Turbines Based on Large Wind Speed Data Sets and Power Curve Data. MethodsX, 8, 101499. doi:10.1016/j.mex.2021.101499
Working Paper
Grunicke, C., Schlüter, J. C., & Jokinen, J. P. (2020). Implementation of a cost-benefit analysis of Demand-Responsive Transport with a Multi-Agent Transport Simulation. arXiv preprint arXiv:2011.12869.
arXiv:2011.12869