Intern
  • none
Computer Science XI - Modeling and Simulation

Prof. Dr.-Ing. Marco Pruckner

Telefon (0931) 31-89054
Telefax (0931) 31-86632
E-Mail

marco.pruckner@uni-wuerzburg.de

Raum 01.020 (Gebäude M4)

Anschrift

Lehrstuhl für Informatik XI
Am Hubland
97074 Würzburg
Germany

Short CV

Marco Pruckner is a professor for modeling and simulation at the Chair of Communication Networks at the University of Würzburg since 2022. From 2016 to 2022, he was an assistant professor for Energy Informatics and headed the smart energy group at the Chair of Computer Networks and Communication Systems at Friedrich-Alexander-University Erlangen-Nürnberg. In 2020 he was a visiting scholar with the Transportation Sustainability Research Center at UC Berkeley. Marco received his Ph.D. degree in engineering (Dr.-Ing.) in Computer Science and his M.Sc. degree in Mathematics (Dipl.-Math.) from the Friedrich-Alexander-University Erlangen-Nürnberg in 2015 and 2011, respectively. His research interests include energy system analysis, vehicle grid integration and future mobility systems with a particular focus on modeling and simulation.

Research projects

Publications

2024[ to top ]
  • Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces. Benz, Paul; Pruckner, Marco. In Proceedings of the Winter Simulation Conference, of WSC ’23, pp. 922–933. IEEE Press, <conf-loc>, <city>San Antonio</city>, <state>Texas</state>, <country>USA</country>, </conf-loc>, 2024.
2023[ to top ]
  • A digital twin of a local energy system based on real smart meter data. Bayer, Daniel; Pruckner, Marco. In Energy Informatics, 6(1). Springer Science and Business Media {LLC}, 2023.
  • A Large Scale Simulation of the Electrification Effects of SAVs. Iacobucci, Riccardo; Pruckner, Marco; Schm{\"o}cker, Jan-Dirk. In Smart Energy for Smart Transport, E. G. Nathanail, N. Gavanas, G. Adamos (eds.), pp. 115–124. Springer Nature Switzerland, Cham, 2023.
  • Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. Bayer, Daniel R.; Pruckner, Marco. In Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, of BuildSys ’23. ACM, 2023.
  • State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles. Bockrath, Steffen; Lorentz, Vincent; Pruckner, Marco. In Applied Energy, 329, p. 120307. 2023.
  • Battery Management System for On-Board Data-Driven State of Health Estimation for Aviation and Space Applications. Bockrath, Steffen; Wachtler, Johannes; Wenger, Martin; Schwarz, Radu; Pruckner, Marco; Lorentz, Vincent RH. In 2023 IEEE Space Computing Conference (SCC), pp. 92–100. IEEE, 2023.
  • OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. Strobel, Leo; Pruckner, Marco. In Computers, Environment and Urban Systems, 106, p. 102029. Elsevier BV, 2023.
  • Residential photovoltaic and energy storage systems for sustainable development: An economic analysis applied to incentive mechanisms. D’Adamo, Idiano; Dell’Aguzzo, Alessandro; Pruckner, Marco. In Sustainable Development. Wiley, 2023.
  • The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data. Iacobucci, Riccardo; Donhauser, Jonas; Schmöcker, Jan-Dirk; Pruckner, Marco. In Journal of Intelligent Transportation Systems, pp. 1–22. Informa UK Limited, 2023.
  • Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. Bockrath, Steffen; Pruckner, Marco. In Proceedings of the 14th ACM International Conference on Future Energy Systems, of e-Energy ’23. ACM, 2023.
2022[ to top ]
  • Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. Bayer, Daniel; Pruckner, Marco. In 2022 IEEE Conference on Technologies for Sustainability (SusTech), pp. 187–194. 2022.
  • Joint analysis of regional and national power system impacts of electric vehicles - A case study for Germany on the county level in 2030. Strobel, Leo; Schlund, Jonas; Pruckner, Marco. In Applied Energy, 315, p. 118945. Elsevier {BV}, 2022.
  • Virtual experiments for battery state of health estimation based on neural networks and in-vehicle data. Heinrich, Felix; Pruckner, Marco. In Journal of Energy Storage, 48, p. 103856. Elsevier, 2022.
  • Synergy of Unidirectional and Bidirectional Smart Charging of Electric Vehicles for Frequency Containment Reserve Power Provision. Schlund, Jonas; German, Reinhard; Pruckner, Marco. In World Electric Vehicle Journal, 13(9). 2022.
  • Modeling and Simulation to Improve Real Electric Vehicles Charging Processes by Integration of Renewable Energies and Buffer Storage. Sing, Konstantin; Mertiny, Pierre; Pruckner, Marco. In 2022 Winter Simulation Conference (WSC), pp. 867–878. 2022.
  • Feasibility of completely electrified two-way car sharing. Strobel, Leo; Pruckner, Marco. In 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 206–211. 2022.
  • Simulation and analysis of a Carnot Battery consisting of a reversible heat pump/organic Rankine cycle for a domestic application in a community with varying number of houses. Scharrer, Daniel; Bazan, Peter; Pruckner, Marco; German, Reinhard. In Energy, 261, p. 125166. 2022.
2021[ to top ]
  • Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data. Barthel, Vincent; Schlund, Jonas; Landes, Philipp; Brandmeier, Veronika; Pruckner, Marco. In Energies, 14(16). 2021.
  • Dynamic modeling and sensitivity analysis of a stratified heat storage coupled with a heat pump and an organic rankine cycle. Scharrer, Daniel; Pruckner, Marco; Bazan, Peter; German, Reinhard. In 2021 Winter Simulation Conference (WSC), pp. 1–12. IEEE, 2021.
  • Benchmarking a Decentralized Reinforcement Learning Control Strategy for an Energy Community. Ebell, Niklas; Pruckner, Marco. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 385–390. IEEE, 2021.
  • A comprehensive study on battery electric modeling approaches based on machine learning. Heinrich, Felix; Klapper, Patrick; Pruckner, Marco. In DACH Conference on Energy Informatics, 4(3), pp. 1–17. Springer, 2021.
  • Unsupervised data-preprocessing for Long Short-Term Memory based battery model under electric vehicle operation. Heinrich, F.; Noering, F.K.-D.; Pruckner, M.; Jonas, K. In Journal of Energy Storage, 38, p. 102598. 2021.
  • Smart Charging and Renewable Grid Integration - A Case Study Based on Real-Data of the Island of Porto Santo. Strobel, Leo; Schlund, Jonas; Brandmeier, Veronika; Schreiber, Michael; Pruckner, Marco. In Sustainable Energy for Smart Cities, J. L. Afonso, V. Monteiro, J. G. Pinto (eds.), pp. 200–215. Springer International Publishing, Cham, 2021.
  • Frequency Control Reserve Provision from a Fleet of Shared Autonomous Electric Vehicles. Iacobucci, Riccardo; Donhauser, Jonas; Schm{\"o}cker, Jan-Dirk; Pruckner, Marco. In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 1–6. IEEE, 2021.
  • Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning. Tuchnitz, Felix; Ebell, Niklas; Schlund, Jonas; Pruckner, Marco. In Applied Energy, 285, p. 116382. 2021.
2020[ to top ]
  • Shared Autonomous Electric Vehicles and the Power Grid: Applications and Research Challenges. Pruckner, Marco; Eckhoff, David. In ISGT-Europe, pp. 1151–1155. IEEE, 2020.
  • Life Cycle Assessment of a Reversible Heat Pump�Organic Rankine Cycle�Heat Storage System with Geothermal Heat Supply. Scharrer, Daniel; Eppinger, Bernd; Schmitt, Pascal; Zenk, Johan; Bazan, Peter; Karl, J�rgen; Will, Stefan; Pruckner, Marco; German, Reinhard. In Energies, 13(12). 2020.
  • FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles. Schlund, Jonas; Pruckner, Marco; German, Reinhard. In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, of e-Energy ’20, p. 121�132. Association for Computing Machinery, Virtual Event, Australia, 2020.
  • Electric Vehicle Charge Management for Lowering Costs and Environmental Impact. Apostolaki-Iosifidou, Elpiniki; Pruckner, Marco; Woo, Soomin; Lipman, Timothy. In 2020 IEEE Conference on Technologies for Sustainability (SusTech), pp. 1–7. 2020.
  • A scenario-based study on the impacts of electric vehicles on energy consumption and sustainability in Alberta. Doluweera, Ganesh; Hahn, Fabian; Bergerson, Joule; Pruckner, Marco. In Applied Energy, 268, p. 114961. 2020.
2019[ to top ]
  • Sharing of Energy Among Cooperative Households Using Distributed Multi-Agent Reinforcement Learning. Ebell, Niklas; Gütlein, Moritz; Pruckner, Marco. In ISGT Europe, pp. 1–5. IEEE, 2019.
  • Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids. Spitzer, Martin; Schlund, Jonas; Apostolaki-Iosifidou, Elpiniki; Pruckner, Marco. In Energies, 12(21). 2019.
2018[ to top ]
  • Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. Ebell, Niklas; Pruckner, Marco. In CCECE, pp. 1–4. IEEE, 2018.
  • A comprehensive electricity Market Model using simulation and Optimization Techniques. Steber, David; Hubler, Jakob; Pruckner, Marco. In WSC, B. Johansson, S. Jain (eds.), pp. 2095–2106. IEEE, 2018.
  • Rebalancing and fleet sizing of Mobility-on-demand Networks with combined simulation, Optimization and Queueing Network Analysis. Bazan, Peter; Djanatliev, Anatoli; Pruckner, Marco; German, Reinhard; Lauer, Christoph. In WSC, B. Johansson, S. Jain (eds.), pp. 1527–1538. IEEE, 2018.
  • Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision. Schlund, Jonas; Steinert, Ronny; Pruckner, Marco. In e-Energy, H. Schmeck, V. Hagenmeyer (eds.), pp. 556–563. ACM, 2018.
  • Reinforcement Learning Control Algorithm for a PV-Battery-System Providing Frequency Containment Reserve Power. Ebell, Niklas; Heinrich, Felix; Schlund, Jonas; Pruckner, Marco. In SmartGridComm, pp. 1–6. IEEE, 2018.
  • Including a virtual battery storage into thermal unit commitment. Steber, David; Pruckner, Marco; Schlund, Jonas; Bazan, Peter; German, Reinhard. In Comput. Sci. Res. Dev., 33(1-2), pp. 223–229. 2018.
  • Reversible Heat Pump Organic Rankine Cycle Systems for the Storage of Renewable Electricity. Staub, Sebastian; Bazan, Peter; Braimakis, Konstantinos; Müller, Dominik; Regensburger, Christoph; Scharrer, Daniel; Schmitt, Bernd; Steger, Daniel; German, Reinhard; Karellas, Sotirios; Pruckner, Marco; Schl�cker, Eberhard; Will, Stefan; Karl, J�rgen. In Energies, 11(6). 2018.
2017[ to top ]
  • Spatial and Temporal Charging Infrastructure Planning Using Discrete Event Simulation. Pruckner, Marco; German, Reinhard; Eckhoff, David. In SIGSIM-PADS, W. Cai, Y. M. Teo, P. Wilsey, K. Jin (eds.), pp. 249–257. ACM, 2017.
  • Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. Longo, Michela; Lutz, Nina M.; Daniel, Luca; Zaninelli, Dario; Pruckner, Marco. In RTSI, pp. 1–5. IEEE, 2017.
  • SWARM � Providing 1 MW FCR power with residential PV-battery energy storage � Simulation and empiric validation. Steber, David; Pruckner, Marco; Bazan, Peter; German, Reinhard. In 2017 IEEE Manchester PowerTech, pp. 1–6. 2017.
  • Analysis of Various Charging Strategies for Electrified Public Bus Transport Utilizing a Lightweight Simulation Model. Dicke, Paul; Meyer, Benedikt; Pruckner, Marco. In Proceedings of the 1st E-Mobility Power System Integration Symposium. Berlin, Germany, 2017.
  • Electrification of public bus transport under the usage of electricity generated by renewables. Dicke, Paul; Meyer, Benedikt; Pruckner, Marco. In 2017 2nd IEEE International Conference on Intelligent Transportation Engineering (ICITE), pp. 314–319. 2017.
2016[ to top ]
  • Modeling the impact of electrical energy storage systems on future power systems. Pruckner, Marco. In 2016 IEEE Electrical Power and Energy Conference (EPEC), pp. 1–7. 2016.
  • The impact of electric vehicles on the german energy system. Pruckner, Marco; German, Reinhard. In SpringSim (ANSS), J. J. Padilla, A. Tolk, S. Jafer (eds.), p. 23. ACM, 2016.
2015[ to top ]
  • Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems. Bazan, Peter; Pruckner, Marco; Steber, David; German, Reinhard. In D-A-CH EI, Vol. 9424 of Lecture Notes in Computer Science, S. Gottwalt, L. König, H. Schmeck (eds.), pp. 12–23. Springer, 2015.
  • Ein Simulationsmodell f{\"u}r den Energieumstieg in Bayern. Pruckner, Marco. Cuvillier Verlag, 2015.
2014[ to top ]
  • Modeling country-scale electricity demand profiles. Pruckner, Marco; Eckhoff, David; German, Reinhard. In Winter Simulation Conference, S. J. Buckley, J. A. Miller (eds.), pp. 1084–1095. IEEE/ACM, 2014.
  • Modeling and simulation of electricity generated by renewable energy sources for complex energy systems. Pruckner, Marco; German, Reinhard. In SpringSim (ANSS), p. 4. SCS/ACM, 2014.
  • On the profit enhancement and state estimation services in the smart grid. Awad, Abdalkarim; Pruckner, Marco; Bazan, Peter; German, Reinhard. In ISGT, pp. 1–5. IEEE, 2014.
  • Gekoppeltes Energiesystemmodell f{\"u}r den Energieumstieg in Bayern. Pruckner, Marco; Seifert, Gaby; Luther, Matthias; German, Reinhard. In Energiesymposium 2014. Graz, Austria, 2014.
2013[ to top ]
  • A hybrid simulation model for large-scaled electricity generation systems. Pruckner, Marco; German, Reinhard. In Winter Simulation Conference, pp. 1881–1892. IEEE, 2013.
  • A simulation model to analyze the residual load during the extension of highly fluctuating renewables in Bavaria, Germany. Pruckner, Marco; German, Reinhard. In 4th International Conference on Power Engineering, Energy and Electrical Drives, pp. 540–545. 2013.
2012[ to top ]
  • Towards a simulation model of the Bavarian electrical energy system. Pruckner, Marco; Bazan, Peter; German, Reinhard. In GI-Jahrestagung, Vol. P-208 of LNI, U. Goltz, M. A. Magnor, H.-J. Appelrath, H. K. Matthies, W.-T. Balke, L. C. Wolf (eds.), pp. 597–612. GI, 2012.
  • A study on the impact of packet loss and latency on real-time demand response in smart grid. Pruckner, Marco; Awad, Abdalkarim; German, Reinhard. In GLOBECOM Workshops, pp. 1486–1490. IEEE, 2012.
  • An approach of a simulation model to analyze the future energy balance of Bavaria. Pruckner, Marco; German, Reinhard. In 2012 International Conference on Smart Grid Technology, Economics and Policies (SG-TEP), pp. 1–4. 2012.