Dr.-Ing. Peter Bazan



Organisation


Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)


Publications (Download BibTeX)

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Awad, A., Bazan, P., & German, R. (2019). A House Appliances-Level Co-simulation Framework for Smart Grid Applications. In Antonio Puliafito, Kishor S. Trivedi (Eds.), Systems Modeling: Methodologies and Tools. (pp. 303-317). Cham: Springer.
Scharrer, D., Schmitt, B., Bazan, P., Zigan, L., Will, S., Karl, J., & German, R. (2018, March). Properties of Reversible Heat Pump ORC Energy Storage Systems for Base Load Generation. Poster presentation at IRES 2018 - 12th International Renewable Energy Storage Conference, Düsseldorf, DE.
German, R., Bazan, P., & Awad, A. (2018). Rapid Prototyping with i7-AnyEnergy and Detailed Co-Simulation with SGsim. Oldenburg, DE.
Bazan, P., Djanatliev, A., Lauer, C., Pruckner, M., & German, R. (2018). Rebalancing and Fleet Sizing of Mobility-on-Demand Networks with Combined Simulation, Optimization and Queueing Network Analysis. In M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson (Eds.), Proceedings of the 2018 Winter Simulation Conference. Göteborg, SE: Piscataway, NJ, USA: IEEE Press.
Bock, F., Siegl, S., Bazan, P., Buchholz, P., & German, R. (2018). Reliability and test effort analysis of multi-sensor driver assistance systems. Journal of Systems Architecture, 85-86, 1-13. https://dx.doi.org/10.1016/j.sysarc.2018.01.006
Staub, S., Bazan, P., Braimakis, K., Müller, D., Regensburger, C., Scharrer, D.,... Karl, J. (2018). Reversible heat pump-organic rankine cycle systems for the storage of renewable electricity. Energies, 11(6). https://dx.doi.org/10.3390/en11061352
Bazan, P., & German, R. (2017). Dynamische Simulation der Integration großer Niedertemperatur-Speicher. Nürnberg, DE.
Bazan, P. (2017). Hybrid Simulation of Smart Energy Systems (Dissertation).
Steber, D., Pruckner, M., Schlund, J., Bazan, P., & German, R. (2017). Including a virtual battery storage into thermal unit commitment. Computer Science - Research and Development, 1-7. https://dx.doi.org/10.1007/s00450-017-0362-7
Schlund, J., Steber, D., Bazan, P., & German, R. (2017). Increasing the Efficiency of a Virtual Battery Storage Providing Frequency Containment Reserve Power by Applying a Clustering Algorithm. In Proceedings of the 7th Innovative Smart Grid Technologies Asia. Auckland, NZ.

Last updated on 2018-07-11 at 22:50