most citedHow much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model

3 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC20203 cited

How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model

Sara Grundel, Stefan Heyder, Thomas Hotz +3

In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key as…

eess.SY20202 cited

Distributed Optimization using ALADIN for MPC in Smart Grids

Yuning Jiang, Philipp Sauerteig, Boris Houska +1

This paper presents a distributed optimization algorithm tailored to solve optimization problems arising in smart grids. In detail, we propose a variant of the Augmented Lagrangian…

eess.SY2020

Distributed Control Enforcing Group Sparsity in Smart Grids

Philipp Sauerteig, Yuning Jiang, Boris Houska +1

In modern smart grids, charging of local energy storage devices is coordinated on a residential level to compensate the volatile aggregated power demand on the time interval of int…

math.OC2019

Surrogate Models in Bidirectional Optimization of Coupled Microgrids

Manuel Baumann, Sara Grundel, Philipp Sauerteig +1

The energy transition entails a rapid uptake of renewable energy sources. Besides physical changes within the grid infrastructure, energy storage devices and their smart operation…

math.OC2019

Towards multiobjective optimization and control of smart grids

Philipp Sauerteig, Karl Worthmann

The rapid uptake of renewable energy sources in the electricity grid leads to a demand in load shaping and flexibility. Energy storage devices such as batteries are a key element t…