A tailored scenario optimization method yields tunable reachable-set estimates with a posteriori guarantees against adversarial noise and explicit degradation bounds under Wasserstein shifts.
Wait-and-judge scenario optimization,
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A convex scheduling framework for virtual EV energy storage provides distribution-free violation guarantees and certificates against adversarial perturbations and out-of-distribution shifts while trading off profit and safety.
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Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
A tailored scenario optimization method yields tunable reachable-set estimates with a posteriori guarantees against adversarial noise and explicit degradation bounds under Wasserstein shifts.
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Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
A convex scheduling framework for virtual EV energy storage provides distribution-free violation guarantees and certificates against adversarial perturbations and out-of-distribution shifts while trading off profit and safety.