20 citations · 23 across the 5 of their papers we have counts for
5 papers
Application of deep and reinforcement learning to boundary control problems
Zenin Easa Panthakkalakath, Juraj Kardoš, Olaf Schenk
The boundary control problem is a non-convex optimization and control problem in many scientific domains, including fluid mechanics, structural engineering, and heat transfer optim…
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
Naga Venkata Sai Jitin Jami, Juraj Kardoš, Olaf Schenk +1
Accurate price predictions are essential for market participants in order to optimize their operational schedules and bidding strategies, especially in the current context where el…
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs
Juraj Kardos, Wouter Edeling, Diana Suleimenova +2
Sensitivity analysis is an important tool used in many domains of computational science to either gain insight into the mathematical model and interaction of its parameters or stud…
Reduced-Space Interior Point Methods in Power Grid Problems
Juraj Kardos, Drosos Kourounis, Olaf Schenk
Due to critical environmental issues, the power systems have to accommodate a significant level of penetration of renewable generation which requires smart approaches to the power…
Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems
Juraj Kardos, Drosos Kourounis, Olaf Schenk +1
Recent advances in open source interior-point optimization methods and power system related software have provided researchers and educators with the necessary platform for simulat…