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20222026
most citedLearn to Bid as a Price-Maker Wind Power Producer

2 citations · 4 across the 12 of their papers we have counts for

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5 papers · 1 filter

math.OC2025

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets

Jonas Ohnemus, Marta Fochesato, Riccardo Zuliani +1

Optimal-Transport Distributionally Robust Optimization (OT-DRO) robustifies data-driven decision-making under uncertainty by capturing the sampling-induced statistical error via op…

math.OC2025

Synthesis of safety certificates for discrete-time uncertain systems via convex optimization

Marta Fochesato, Han Wang, Antonis Papachristodoulou +1

We study the problem of co-designing control barrier functions and linear state feedback controllers for discrete-time linear systems affected by additive disturbances. For disturb…

math.OC2025

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets

Marta Fochesato, Lucia Falconi, Mattia Zorzi +2

The Linear Quadratic Gaussian (LQG) controller is known to be inherently fragile to model misspecifications common in real-world situations. We consider discrete-time partially obs…

math.OC2025

Distributionally Robust Optimization over Wasserstein Balls with i.i.d. Structure

Andrey Kharitenko, Marta Fochesato, Anastasios Tsiamis +2

We consider distributionally robust optimization problems where the uncertainty is modeled via a structured Wasserstein ambiguity set. Specifically, the ambiguity is restricted to…

cs.LG2025★ 2 cited

Learn to Bid as a Price-Maker Wind Power Producer

Shobhit Singhal, Marta Fochesato, Liviu Aolaritei +1

Wind power producers (WPPs) participating in short-term power markets face significant imbalance costs due to their non-dispatchable and variable production. While some WPPs have a…