Jonas Schlund

Computer Science 7 (Computer Networks and Communication Systems)

Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data (2021) Barthel V, Schlund J, Landes P, Brandmeier V, Pruckner M Journal article Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning (2021) Tuchnitz F, Ebell N, Schlund J, Pruckner M Journal article, Editorial Smart Charging and Renewable Grid Integration - A Case Study Based on Real-Data of the Island of Porto Santo (2021) Strobel L, Schlund J, Brandmeier V, Schreiber M, Pruckner M Conference contribution FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles (2020) Schlund J, Pruckner M, German R Conference contribution, Original article MiniDES - Lightweight Python Simulation Framework for Interconnected Renewable Resources (2019) Schlund J, Reisenweber J, German R Conference contribution, Conference Contribution Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids (2019) Spitzer M, Schlund J, Apostolaki-Iosifidou E, Pruckner M Journal article Flexibles Laden: Wie Elektrofahrzeuge Treiber der Energiewende werden können (2019) Schlund J, Pruckner M, German R Other publication type A distributed ledger based platform for community-driven flexibility provision (2019) Schlund J, German R Journal article, Original article Reinforcement Learning Control Algorithm for a PV-Battery-System Providing Frequency Containment Reserve Power (2018) Ebell N, Heinrich F, Schlund J, Pruckner M Conference contribution, Conference Contribution Blockchain-based orchestration of distributed assets in electrical power systems (2018) Schlund J Journal article, Original article