Branch and Price Methoden für Tourenplanungsprobleme mit Picking, Loading und Soft Time Windows

Branch-and-Price methods for dynamic vehicle routing with advance orders and heterogeneous drivers

FlexFleet - Digitale Vermarktungsplattform von Transportkapazitäten

Branch-and-Price methods for real-time vehicle routing with time windows

Evaluating mathematical optimization methods for real-time vehicle routing with time windows

Computational stochastic optimization for anticipatory utilization of renewable energies

Messung und Bewertung des Risikos von unvorhersehbaren Strom- und Gasverbrauchsschwankungen für Energieversorger

LearnIT - Developing an adaptive optimization approach for operational management of grid-level energy storage in the context of renewable energies

The main project goal is the development of an adaptive optimization approach for operational management of grid-level battery storage. The adaptive optimization approach aims at increasing the economic efficiency of storage, and thereby enabling the widespread adoption of grid-level battery storage. The widespread adoption of energy storage is important to guarantee service security and reliability of electrical power supply in the presence of a high share of energy from volatile renewable sources. The research project LearnIT is funded by the 6th energy research program of the German federal government.