130 citations
- University of OpolePL8 papers
- Joint Institute for Nuclear ResearchRU6 papers
- AGH University of KrakowPL5 papers
- Wrocław University of Science and TechnologyPL4 papers
- Institute of MathematicsPL2 papers
- Lviv UniversityUA2 papers
- Bank of EnglandGB1 paper
- Bulgarian Academy of SciencesBG1 paper
- CEA GrenobleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Czech Academy of Sciences, Institute of ThermomechanicsCZ1 paper
36 papers
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
Cluster workload allocation often requires complex configurations, creating a usability gap. This paper introduces a semantic, intent-driven scheduling paradigm for cluster systems…
Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE
Katarzyna Maciejowska, Arkadiusz Lipiecki, Bartosz Uniejewski
Electricity price forecasts are typically evaluated using accuracy measures such as RMSE and MAE, although these metrics often fail to reflect their economic value in operational d…
Variance Stabilizing Transformations for Electricity Price Forecasting in Periods of Increased Volatility
Bartosz Uniejewski
Accurate day-ahead electricity price forecasts are critical for power system operation and market participation, yet growing renewable penetration and recent crises have caused unp…
Enhancing Cluster Scheduling in HPC: A Continuous Transfer Learning for Real-Time Optimization
Leszek Sliwko, Jolanta Mizera-Pietraszko
This study presents a machine learning-assisted approach to optimize task scheduling in cluster systems, focusing on node-affinity constraints. Traditional schedulers like Kubernet…
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence
M. W. Przewozniczek, F. Chicano, R. Tinós +3
Gray-box optimization employs Walsh decomposition to obtain non-linear variable dependencies and utilize them to propose masks of variables that have a joint non-linear influence o…
The role of probabilistic load and renewable prediction in enhancing day-ahead electricity price forecasts
Bartosz Uniejewski, Florian Ziel
The increasing penetration of renewable energy sources (RES) has amplified volatility in electricity markets, while demand variability continues to challenge system stability. Trad…