Cover Image

Towards Data-Driven Multi-Stage OPF

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Molodchyk, Oleksii, Schmitz, Philipp, Engelmann, Alexander, Worthmann, Karl, Faulwasser, Timm
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards safe Bayesian optimization with Wiener kernel regression
by: Molodchyk, Oleksii, et al.
Published: (2024)

Exploring the Links between the Fundamental Lemma and Kernel Regression
by: Molodchyk, Oleksii, et al.
Published: (2024)

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data
by: Molodchyk, Oleksii, et al.
Published: (2026)

Towards Stochastic (N-1)-Secure Redispatch
by: Molodchyk, Oleksii, et al.
Published: (2025)

Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
by: Faulwasser, T., et al.
Published: (2023)

Towards Polynomial Immersion of Port-Hamiltonian Systems
by: Itani, Mohammad, et al.
Published: (2026)

A continuous-time fundamental lemma and its application in data-driven optimal control
by: Schmitz, Philipp, et al.
Published: (2024)

Optimal control of port-Hamiltonian systems: energy, entropy, and exergy
by: Philipp, Friedrich, et al.
Published: (2023)

Alleviating the Curse of Dimensionality in Minkowski Sum Approximations of Storage Flexibility
by: Öztürk, Emrah, et al.
Published: (2023)

Decentralized non-convex optimization via bi-level SQP and ADMM
by: Stomberg, Gösta, et al.
Published: (2022)

Flexibility aggregation via set projection for distribution grids with multiple interconnections
by: Bandeira, Maísa Beraldo, et al.
Published: (2025)

Approximate Dynamic Programming with Feasibility Guarantees
by: Engelmann, Alexander, et al.
Published: (2023)

Complexity Reduction for TSO-DSO Coordination: Flexibility Aggregation vs. Distributed Optimization
by: Bandeira, Maísa Beraldo, et al.
Published: (2025)

On Data-Driven Stochastic Output-Feedback Predictive Control
by: Pan, Guanru, et al.
Published: (2022)

Large problems are not necessarily hard: A case study on distributed NMPC paying off
by: Stomberg, Gösta, et al.
Published: (2024)

Decentralized Real-Time Iterations for Distributed NMPC
by: Stomberg, Gösta, et al.
Published: (2024)

Distributed Optimization for Energy Grids: A Tutorial on ADMM and ALADIN
by: Lanza, Lukas, et al.
Published: (2024)

Tutorial Problems for Nonsmooth Dynamics and Optimal Control: Ski Jumping and Accelerating a Bike Without Pedaling
by: Golembiewski, Julian, et al.
Published: (2024)

A Stochastic Fundamental Lemma with Reduced Disturbance Data Requirements
by: Ou, Ruchuan, et al.
Published: (2025)

Towards Closed-loop Stability of Nonlinear Receding Horizon Games
by: Hall, Sophie, et al.
Published: (2026)

On Dissipativity of Cross-Entropy Loss in Training ResNets
by: Püttschneider, Jens, et al.
Published: (2024)

Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources
by: Appino, Riccardo Remo, et al.
Published: (2019)

Towards an Optimal Control Perspective of ResNet Training
by: Püttschneider, Jens, et al.
Published: (2025)

On Data-Driven Unbiased Predictors using the Koopman Operator
by: Schurig, Roland, et al.
Published: (2026)

Probabilistic Time Series Forecasting of Residential Loads -- A Copula Approach
by: Jeschke, Marco, et al.
Published: (2025)

System-Theoretic Analysis of Dynamic Generalized Nash Equilibria -- Turnpikes and Dissipativity
by: Hall, Sophie, et al.
Published: (2025)

Towards Efficient Aggregation of Storage Flexibilities in Power Grids
by: Öztürk, Emrah, et al.
Published: (2024)

Exact Time-Varying Turnpikes for Dynamic Operation of District Heating Networks
by: Rose, Max, et al.
Published: (2025)

Uncertainty Propagation under Residual Disturbances: A Smart-Home Case Study
by: Pan, Guanru, et al.
Published: (2026)

Kernel-based Koopman approximants for control: Flexible sampling, error analysis, and stability
by: Bold, Lea, et al.
Published: (2024)

Data-driven MPC with stability guarantees using extended dynamic mode decomposition
by: Bold, Lea, et al.
Published: (2023)

Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
by: Püttschneider, Jens, et al.
Published: (2024)

Cooperative Distributed MPC via Decentralized Real-Time Optimization: Implementation Results for Robot Formations
by: Stomberg, Gösta, et al.
Published: (2023)

Spatial decay of perturbations in hyperbolic equations with optimal boundary control
by: Oppeneiger, Benedikt, et al.
Published: (2025)

Offset-free Nonlinear MPC with Koopman-based Surrogate Models
by: Schimperna, Irene, et al.
Published: (2025)

Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation
by: Nadeem, Muhammad, et al.
Published: (2023)

Data-driven MPC with terminal conditions in the Koopman framework
by: Worthmann, Karl, et al.
Published: (2024)

A Polynomial Chaos Approach to Stochastic LQ Optimal Control: Error Bounds and Infinite-Horizon Results
by: Ou, Ruchuan, et al.
Published: (2023)

A hard-constrained NN learning framework for rapidly restoring AC-OPF from DC-OPF
by: Chen, Kejun, et al.
Published: (2026)

All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
by: Hasanzadeh, Milad, et al.
Published: (2026)