Deutsch Intern
Chair of Computer Science III

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 Kommunikationsnetze (Informatik III)

Am Hubland
D-97074 Würzburg

Contents:  Overview | Publications | Research


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 ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
2022[ to top ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
2020[ to top ]
  • 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.
  • Shared Autonomous Electric Vehicles and the Power Grid: Applications and Research Challenges. Pruckner, Marco; Eckhoff, David. In ISGT-Europe, pp. 1151–1155. IEEE, 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.
  • 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.
2019[ to top ]
  • Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids. Spitzer, Martin; Schlund, Jonas; Apostolaki-Iosifidou, Elpiniki; Pruckner, Marco. In Energies, 12(21). 2019.
  • 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.
2018[ to top ]
  • 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.
  • Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. Ebell, Niklas; Pruckner, Marco. In CCECE, pp. 1–4. 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.
  • 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.
  • 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.
  • 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.
  • 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.
2017[ to top ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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 ]
  • Ein Simulationsmodell f{\"u}r den Energieumstieg in Bayern. Pruckner, Marco. Cuvillier Verlag, 2015.
  • 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.
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.
  • Gekoppeltes Energiesystemmodell f{\"u}r den Energieumstieg in Bayern. Pruckner, Marco; Seifert, Gaby; Luther, Matthias; German, Reinhard. In Energiesymposium 2014. Graz, Austria, 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.
2013[ to top ]
  • 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.
  • A hybrid simulation model for large-scaled electricity generation systems. Pruckner, Marco; German, Reinhard. In Winter Simulation Conference, pp. 1881–1892. IEEE, 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.
  • 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.
  • 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.