Marco Pruckner

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Renewable Energy

Reinforcement Learning

Top Venues

Publications

Leo Strobel, Marco Pruckner
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles. CoRR (2024)
Leo Strobel, Marco Pruckner
OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. CoRR (2023)
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)
Daniel R. Bayer, Marco Pruckner
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. CoRR (2023)
Daniel R. Bayer, Marco Pruckner
Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. CoRR (2023)
Steffen Bockrath, Marco Pruckner
Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. e-Energy (2023)
Daniel R. Bayer, Marco Pruckner
Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. BuildSys@SenSys (2023)
Leo Strobel, Marco Pruckner
OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. Comput. Environ. Urban Syst. 106 (2023)
Daniel R. Bayer, Marco Pruckner
A digital twin of a local energy system based on real smart meter data. Energy Inform. 6 (1) (2023)
Leo Strobel, Marco Pruckner
Feasibility of completely electrified two-way car sharing. SmartGridComm (2022)
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)
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)
Felix Heinrich, Patrick Klapper, Marco Pruckner
A comprehensive study on battery electric modeling approaches based on machine learning. Energy Inform. 4 (S3) (2021)
Niklas Ebell, Marco Pruckner
Benchmarking a Decentralized Reinforcement Learning Control Strategy for an Energy Community. SmartGridComm (2021)
Riccardo Iacobucci, Jonas Donhauser, Jan-Dirk Schmöcker, Marco Pruckner
Frequency Control Reserve Provision from a Fleet of Shared Autonomous Electric Vehicles. MT-ITS (2021)
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)
Marco Pruckner, David Eckhoff
Shared Autonomous Electric Vehicles and the Power Grid: Applications and Research Challenges. ISGT-Europe (2020)
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)
Niklas Ebell, Moritz Gütlein, Marco Pruckner
Sharing of Energy Among Cooperative Households Using Distributed Multi-Agent Reinforcement Learning. ISGT Europe (2019)
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) (2018)
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)
David Steber, Jakob Hubler, Marco Pruckner
A comprehensive electricity Market Model using simulation and Optimization Techniques. WSC (2018)
Niklas Ebell, Marco Pruckner
Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. CCECE (2018)
Niklas Ebell, Felix Heinrich, Jonas Schlund, Marco Pruckner
Reinforcement Learning Control Algorithm for a PV-Battery-System Providing Frequency Containment Reserve Power. SmartGridComm (2018)
Jonas Schlund, Ronny Steinert, Marco Pruckner
Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision. e-Energy (2018)
Marco Pruckner, Reinhard German, David Eckhoff
Spatial and Temporal Charging Infrastructure Planning Using Discrete Event Simulation. SIGSIM-PADS (2017)
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)
Marco Pruckner, Reinhard German
The impact of electric vehicles on the german energy system. SpringSim (ANSS) (2016)
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)
Marco Pruckner, David Eckhoff, Reinhard German
Modeling country-scale electricity demand profiles. WSC (2014)
Marco Pruckner, Reinhard German
Modeling and simulation of electricity generated by renewable energy sources for complex energy systems. SpringSim (ANSS) (2014)
Abdalkarim Awad, Marco Pruckner, Peter Bazan, Reinhard German
On the profit enhancement and state estimation services in the smart grid. ISGT (2014)
Marco Pruckner, Reinhard German
A hybrid simulation model for large-scaled electricity generation systems. WSC (2013)
Marco Pruckner, Peter Bazan, Reinhard German
Towards a simulation model of the Bavarian electrical energy system. GI-Jahrestagung (2012)
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)