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Marco Pruckner
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2024
- [j5]Riccardo Iacobucci, Jonas Donhauser, Jan-Dirk Schmöcker, Marco Pruckner:
The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data. J. Intell. Transp. Syst. 28(5): 719-740 (2024) - [c28]Jonas Schiller, Marco Pruckner:
Evaluating Water-Energy Nexus related Water Saving Potentials of Residential Households with Solar PV and Electric Storage. BuildSys 2024 - [i5]Leo Strobel, Marco Pruckner:
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles. CoRR abs/2406.12755 (2024) - [i4]Daniel R. Bayer, Marco Pruckner:
Analyzing the Impact of Electric Vehicles on Local Energy Systems using Digital Twins. CoRR abs/2408.10763 (2024) - 2023
- [j4]Daniel R. Bayer, Marco Pruckner:
A digital twin of a local energy system based on real smart meter data. Energy Inform. 6(1) (2023) - [j3]Leo Strobel, Marco Pruckner:
OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. Comput. Environ. Urban Syst. 106: 102029 (2023) - [c27]Steffen Bockrath, Marco Pruckner:
Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. e-Energy 2023: 314-323 - [c26]Daniel R. Bayer, Marco Pruckner:
Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. BuildSys 2023: 248-251 - [c25]Paul Benz, Marco Pruckner:
Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces. WSC 2023: 922-933 - [i3]Leo Strobel, Marco Pruckner:
OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. CoRR abs/2309.06927 (2023) - [i2]Daniel R. Bayer, Marco Pruckner:
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. CoRR abs/2309.06940 (2023) - [i1]Daniel R. Bayer, Marco Pruckner:
Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. CoRR abs/2310.02756 (2023) - 2022
- [c24]Leo Strobel, Marco Pruckner:
Feasibility of completely electrified two-way car sharing. SmartGridComm 2022: 206-211 - [c23]Konstantin Sing, Pierre Mertiny, Marco Pruckner:
Modeling and Simulation to Improve Real Electric Vehicles Charging Processes by Integration of Renewable Energies and Buffer Storage. WSC 2022: 867-878 - 2021
- [j2]Felix Heinrich, Patrick Klapper, Marco Pruckner:
A comprehensive study on battery electric modeling approaches based on machine learning. Energy Inform. 4(S3) (2021) - [c22]Riccardo Iacobucci, Jonas Donhauser, Jan-Dirk Schmöcker, Marco Pruckner:
Frequency Control Reserve Provision from a Fleet of Shared Autonomous Electric Vehicles. MT-ITS 2021: 1-6 - [c21]Niklas Ebell, Marco Pruckner:
Benchmarking a Decentralized Reinforcement Learning Control Strategy for an Energy Community. SmartGridComm 2021: 385-390 - [c20]Daniel Scharrer, Marco Pruckner, Peter Bazan, Reinhard German:
Dynamic Modeling and Sensitivity Analysis of a Stratified Heat Storage Coupled with a Heat Pump and an Organic Rankine Cycle. WSC 2021: 1-12 - 2020
- [c19]Jonas Schlund, Marco Pruckner, Reinhard German:
FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles. e-Energy 2020: 121-132 - [c18]Marco Pruckner, David Eckhoff:
Shared Autonomous Electric Vehicles and the Power Grid: Applications and Research Challenges. ISGT-Europe 2020: 1151-1155 - [c17]Leo Strobel, Jonas Schlund, Veronika Brandmeier, Michael Schreiber, Marco Pruckner:
Smart Charging and Renewable Grid Integration - A Case Study Based on Real-Data of the Island of Porto Santo. SESC 2020: 200-215
2010 – 2019
- 2019
- [c16]Niklas Ebell, Moritz Gütlein, Marco Pruckner:
Sharing of Energy Among Cooperative Households Using Distributed Multi-Agent Reinforcement Learning. ISGT Europe 2019: 1-5 - 2018
- [j1]David Steber, Marco Pruckner, Jonas Schlund, Peter Bazan, Reinhard German:
Including a virtual battery storage into thermal unit commitment. Comput. Sci. Res. Dev. 33(1-2): 223-229 (2018) - [c15]Niklas Ebell, Marco Pruckner:
Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. CCECE 2018: 1-4 - [c14]Jonas Schlund, Ronny Steinert, Marco Pruckner:
Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision. e-Energy 2018: 556-563 - [c13]Niklas Ebell, Felix Heinrich, Jonas Schlund, Marco Pruckner:
Reinforcement Learning Control Algorithm for a PV-Battery-System Providing Frequency Containment Reserve Power. SmartGridComm 2018: 1-6 - [c12]Peter Bazan, Anatoli Djanatliev, Marco Pruckner, Reinhard German, Christoph Lauer:
Rebalancing and fleet sizing of Mobility-on-demand Networks with combined simulation, Optimization and Queueing Network Analysis. WSC 2018: 1527-1538 - [c11]David Steber, Jakob Hubler, Marco Pruckner:
A comprehensive electricity Market Model using simulation and Optimization Techniques. WSC 2018: 2095-2106 - 2017
- [c10]Marco Pruckner, Reinhard German, David Eckhoff:
Spatial and Temporal Charging Infrastructure Planning Using Discrete Event Simulation. SIGSIM-PADS 2017: 249-257 - [c9]Michela Longo, Nina M. Lutz, Luca Daniel, Dario Zaninelli, Marco Pruckner:
Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. RTSI 2017: 1-5 - 2016
- [c8]Marco Pruckner, Reinhard German:
The impact of electric vehicles on the german energy system. SpringSim (ANSS) 2016: 23 - 2015
- [c7]Peter Bazan, Marco Pruckner, David Steber, Reinhard German:
Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems. D-A-CH EI 2015: 12-23 - 2014
- [c6]Abdalkarim Awad, Marco Pruckner, Peter Bazan, Reinhard German:
On the profit enhancement and state estimation services in the smart grid. ISGT 2014: 1-5 - [c5]Marco Pruckner, Reinhard German:
Modeling and simulation of electricity generated by renewable energy sources for complex energy systems. SpringSim (ANSS) 2014: 4 - [c4]Marco Pruckner, David Eckhoff, Reinhard German:
Modeling country-scale electricity demand profiles. WSC 2014: 1084-1095 - 2013
- [c3]Marco Pruckner, Reinhard German:
A hybrid simulation model for large-scaled electricity generation systems. WSC 2013: 1881-1892 - 2012
- [c2]Marco Pruckner, Peter Bazan, Reinhard German:
Towards a simulation model of the Bavarian electrical energy system. GI-Jahrestagung 2012: 597-612 - [c1]Marco Pruckner, Abdalkarim Awad, Reinhard German:
A study on the impact of packet loss and latency on real-time demand response in smart grid. GLOBECOM Workshops 2012: 1486-1490
Coauthor Index
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last updated on 2024-12-23 19:35 CET by the dblp team
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