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eess.SY2026
Robust Scenario-Based Data-Enabled Predictive Control of a Battery Energy Storage System: An Experimental Study
Sebastian Zieglmeier, Nikolas Recke, Mathias Hudoba de Badyn
Battery energy storage systems must respect strict state-of-charge (SOC) limits to prevent overcharge and deep discharge, a task complicated by measurement noise and costly-to-mode…
eess.SY2026
Scenario-based Data-Enabled Predictive Control: Robustification via the Scenario Approach
Sebastian Zieglmeier, Nikolas Recke, Mathias Hudoba de Badyn
This paper proposes Scenario-Based Data-Enabled Predictive Control (Scenario-DeePC), which integrates the scenario optimization framework into Data-enabled Predictive Control (DeeP…
eess.SY2026
Distributionally Robust Model Predictive Control for Virtual Power Plants
Nikolas Recke, Mathias Hudoba de Badyn
This paper presents a distributionally robust model predictive control (DRMPC) framework for the optimal Virtual Power Plant (VPP) operation under electricity price uncertainty. A…