Towards a simulation model of the Bavarian electrical energy system. - Marco Pruckner; Peter Bazan; Reinhard German (GI-Jahrestagung, 2012)

A study on the impact of packet loss and latency on real-time demand response in smart grid. - Marco Pruckner; Abdalkarim Awad; Reinhard German (GLOBECOM Workshops, 2012)

A hybrid simulation model for large-scaled electricity generation systems. - Marco Pruckner; Reinhard German (WSC, 2013)

On the profit enhancement and state estimation services in the smart grid. - Abdalkarim Awad; Marco Pruckner; Peter Bazan; Reinhard German (ISGT, 2014)

Modeling and simulation of electricity generated by renewable energy sources for complex energy systems. - Marco Pruckner; Reinhard German (SpringSim (ANSS), 2014)

Modeling country-scale electricity demand profiles. - Marco Pruckner; David Eckhoff; Reinhard German (WSC, 2014)

Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems. - Peter Bazan; Marco Pruckner; David Steber; Reinhard German (D-A-CH EI, 2015)

The impact of electric vehicles on the german energy system. - Marco Pruckner; Reinhard German (SpringSim (ANSS), 2016)

Spatial and Temporal Charging Infrastructure Planning Using Discrete Event Simulation. - Marco Pruckner; Reinhard German; David Eckhoff (SIGSIM-PADS, 2017)

Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. - Michela Longo; Nina M. Lutz; Luca Daniel; Dario Zaninelli; Marco Pruckner (RTSI, 2017)

Coordinated Multi-Agent Reinforcement Learning for Swarm Battery Control. - Niklas Ebell; Marco Pruckner (CCECE, 2018)

Coordinating E-Mobility Charging for Frequency Containment Reserve Power Provision. - Jonas Schlund; Ronny Steinert; Marco Pruckner (e-Energy, 2018)

Reinforcement Learning Control Algorithm for a PV-Battery-System Providing Frequency Containment Reserve Power. - Niklas Ebell; Felix Heinrich; Jonas Schlund; Marco Pruckner (SmartGridComm, 2018)

Rebalancing and fleet sizing of Mobility-on-demand Networks with combined simulation, Optimization and Queueing Network Analysis. - Peter Bazan; Anatoli Djanatliev; Marco Pruckner; Reinhard German; Christoph Lauer (WSC, 2018)

A comprehensive electricity Market Model using simulation and Optimization Techniques. - David Steber; Jakob Hubler; Marco Pruckner (WSC, 2018)

Including a virtual battery storage into thermal unit commitment. - David Steber; Marco Pruckner; Jonas Schlund; Peter Bazan; Reinhard German (Comput. Sci. Res. Dev., 2018)

Sharing of Energy Among Cooperative Households Using Distributed Multi-Agent Reinforcement Learning. - Niklas Ebell; Moritz Gütlein; Marco Pruckner (ISGT Europe, 2019)

FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles. - Jonas Schlund; Marco Pruckner; Reinhard German (e-Energy, 2020)

Shared Autonomous Electric Vehicles and the Power Grid: Applications and Research Challenges. - Marco Pruckner; David Eckhoff (ISGT-Europe, 2020)

Smart Charging and Renewable Grid Integration - A Case Study Based on Real-Data of the Island of Porto Santo. - Leo Strobel; Jonas Schlund; Veronika Brandmeier; Michael Schreiber; Marco Pruckner (SESC, 2020)

Frequency Control Reserve Provision from a Fleet of Shared Autonomous Electric Vehicles. - Riccardo Iacobucci; Jonas Donhauser; Jan-Dirk Schmöcker; Marco Pruckner (MT-ITS, 2021)

Benchmarking a Decentralized Reinforcement Learning Control Strategy for an Energy Community. - Niklas Ebell; Marco Pruckner (SmartGridComm, 2021)

Dynamic Modeling and Sensitivity Analysis of a Stratified Heat Storage Coupled with a Heat Pump and an Organic Rankine Cycle. - Daniel Scharrer; Marco Pruckner; Peter Bazan; Reinhard German (WSC, 2021)

A comprehensive study on battery electric modeling approaches based on machine learning. - Felix Heinrich; Patrick Klapper; Marco Pruckner (Energy Inform., 2021)

Feasibility of completely electrified two-way car sharing. - Leo Strobel; Marco Pruckner (SmartGridComm, 2022)

Modeling and Simulation to Improve Real Electric Vehicles Charging Processes by Integration of Renewable Energies and Buffer Storage. - Konstantin Sing; Pierre Mertiny; Marco Pruckner (WSC, 2022)

Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. - Steffen Bockrath; Marco Pruckner (e-Energy, 2023)

Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data. - Daniel R. Bayer; Marco Pruckner (BuildSys, 2023)

Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces. - Paul Benz; Marco Pruckner (WSC, 2023)

Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems. - Daniel R. Bayer; Marco Pruckner (CoRR, 2023)

A digital twin of a local energy system based on real smart meter data. - Daniel R. Bayer; Marco Pruckner (Energy Inform., 2023)

OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap. - Leo Strobel; Marco Pruckner (Comput. Environ. Urban Syst., 2023)

Evaluating Water-Energy Nexus related Water Saving Potentials of Residential Households with Solar PV and Electric Storage. - Jonas Schiller; Marco Pruckner (BuildSys, 2024)

Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles. - Leo Strobel; Marco Pruckner (e-Energy, 2024)

Analyzing the Impact of Electric Vehicles on Local Energy Systems Using Digital Twins. - Daniel René Bayer; Marco Pruckner (WSC, 2024)

The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data. - Riccardo Iacobucci; Jonas Donhauser; Jan-Dirk Schmöcker; Marco Pruckner (J. Intell. Transp. Syst., 2024)

Sustainable, Situation-Aware Multi Objective Spatial Load Scheduling for Data Centers. - Jonas Schiller; Marco Pruckner (e-Energy, 2025)

Transport Mode Choice for Disaggregated Mobility Demand Generation. - Leo Strobel; Marco Pruckner (IEEE Access, 2025)

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study. - Daniel R. Bayer; Felix Haag; Marco Pruckner; Konstantin Hopf (CoRR, 2025)

Mobility to Campus - a Framework to Evaluate and Compare Different Mobility Modes. - Helena Fehler; Marco Pruckner; Marie Schmidt (CoRR, 2025)