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20242026
most citedOptimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties

3 citations · 8 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks

Ben Spoek, Karim K. Ben Hicham, Kai Derzsi +3

District heating energy hubs require reliable heat load forecasts for efficient operational scheduling. Forecasting models trained on historical data may require retraining as netw…

cs.DC2026

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms

Felix Bonhoff, Thiemo Pesch, Andrea Benigni +2

Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process. To support various stages of development and execution, a se…

cs.LG2026

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes

Tai Xuan Tan, Alexander Mitsos, Eike Cramer

Batch processes are inherently transient and typically nonlinear, motivating nonlinear model predictive control (NMPC). However, adopting NMPC is hindered by the cost and unavailab…

math.OC2026

Robust Design of Multi-Energy Systems Accounting for Mixed-Integer Operational Problems

Moritz Wedemeyer, Alexander Mitsos, Manuel Dahmen

Identifying robust designs for multi-energy systems is computationally challenging. As rigorous approaches are often computationally intractable, heuristics are employed to generat…

cs.LG2026

Data-Driven Conditional Flexibility Index

Moritz Wedemeyer, Eike Cramer, Alexander Mitsos +1

With the increasing flexibilization of processes, determining robust scheduling decisions has become an important goal. Traditionally, the flexibility index has been used to identi…