Oleksii Molodchyk

According to our database, Oleksii Molodchyk authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise.

Johannes Teutsch, Oleksii Molodchyk, Marion Leibold, Timm Faulwasser, Armin Lederer

CoRR, May, 2026

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data.

Oleksii Molodchyk, Omid Mokhtari, Samuel Chevalier, Mads R. Almassalkhi, Timm Faulwasser

CoRR, April, 2026

2025

Towards Stochastic (N-1)-Secure Redispatch.

Oleksii Molodchyk, Hendrik Drögehorn, Martin Lindner, Mario Kendziorski, Timm Faulwasser

CoRR, October, 2025

Towards Data-Driven Multi-Stage OPF.

Oleksii Molodchyk, Philipp Schmitz, Alexander Engelmann, Karl Worthmann, Timm Faulwasser

CoRR, February, 2025

Towards safe Bayesian optimization with Wiener kernel regression.

Oleksii Molodchyk, Johannes Teutsch, Timm Faulwasser

Proceedings of the 2025 European Control Conference, 2025

2024

Results of trials on Model Predictive Control and Optimal Power Flow and Input Time Series.

Thomas Schwierz, Oleksii Molodchyk

Dataset, November, 2024

Exploring the Links Between the Fundamental Lemma and Kernel Regression.

Oleksii Molodchyk, Timm Faulwasser

IEEE Control. Syst. Lett., 2024

2023

Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty.

Timm Faulwasser, Oleksii Molodchyk

CoRR, 2023

System-level Testing of the Congestion Management Capability of a Hardware-Independent Optimal Power Flow Algorithm.

Thomas Schwierz, Rajkumar Palaniappan, Oleksii Molodchyk, Christian Rehtanz

CoRR, 2023