activity
20162021
most citedUncertainty-aware demand management of water distribution networks in deregulated energy markets

7 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC20212 cited

Saturation-Aware Model Predictive Energy Management for Droop-Controlled Islanded Microgrids

Steffen Hofmann, Ajay Sampathirao, Christian A. Hans +3

In this paper, we propose a minimax model predictive control (MPC)-based energy management system that is robust with respect to uncertainties in renewable infeed and load. The MPC…

math.OC20211 cited

Massively parallelizable proximal algorithms for large-scale stochastic optimal control problems

Ajay K. Sampathirao, Panagiotis Patrinos, Alberto Bemporad +1

Scenario-based stochastic optimal control problems suffer from the curse of dimensionality as they can easily grow to six and seven figure sizes. First-order methods are suitable a…

eess.SY2019

Fallback Strategies in Operation Control of Microgrids with Communication Failures

Inga Löser, Ajay Kumar Sampathirao, Steffen Hofmann +1

This paper proposes a model predictive control (MPC)-based energy management system to address communication failures in an islanded microgrid (MG). The energy management system re…

math.OC20197 cited

Uncertainty-aware demand management of water distribution networks in deregulated energy markets

Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad +1

We present an open-source solution for the operational control of drinking water distribution networks which accounts for the inherent uncertainty in water demand and electricity p…

math.OC2016

GPU-accelerated stochastic predictive control of drinking water networks

Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad +1

Despite the proven advantages of scenario-based stochastic model predictive control for the operational control of water networks, its applicability is limited by its considerable…