output
20222026
most citedDigital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

95 citations

10 papers

cs.CR2026

Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies

Yasmine Hayder

Knowledge Graphs (KGs) are a powerful representation of linked data, offering flexibility, semantic richness, and support for knowledge enrichment and reasoning. They help data own…

astro-ph.SR2026★ 1 cited

Formation and rising phase of a flux rope through data-constrained simulations

M. V. Sieyra, A. Strugarek, A. Prasad +8

Context. Data-constrained models incorporate observed photospheric magnetic fields. However, due to the lack of magnetic field information in the rest of the solar atmosphere, mode…

cs.CR2026

Onto-DP: Constructing Neighborhoods for Differential Privacy on Ontological Databases

Yasmine Hayder, Adrien Boiret, Cédric Eichler +1

In this paper, we investigate how attackers can discover sensitive information embedded within databases by exploiting inference rules. We demonstrate the inadequacy of naively app…

astro-ph.SR2025★ 1 cited

Active chromospheric fibril singularity: Coordinated observations from Solar Orbiter, SST, and IRIS

Reetika Joshi, Luc Rouppe van der Voort, Guillaume Aulanier +6

The fine structures of the solar chromosphere, driven by photospheric motions, play a crucial role in the dynamics of solar magnetic fields. Many have been already identified such…

astro-ph.SR2025★ 1 cited

Thermodynamic and magnetic evolution of an eruptive C-class solar flare observed with SST/TRIPPEL-SP

C. J. Díaz Baso, J. de la Cruz Rodríguez, H. -P. Doerr +4

Solar flares are complex phenomena driven by the release of magnetic energy, but a large energy reservoir is not sufficient to determine their eruptive potential; the magnetic topo…

cs.CR2025

Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique

Yanming Li, Cédric Eichler, Nicolas Anciaux +3

We propose a system for marking sensitive or copyrighted texts to detect their use in fine-tuning large language models under black-box access with statistical guarantees. Our meth…

cs.HC2025★ 1 cited

Towards softerware: Enabling personalization of interactive data representations for users with disabilities

Frank Elavsky, Marita Vindedal, Ted Gies +3

Accessible design for some may still produce barriers for others. This tension, called access friction, creates challenges for both designers and end-users with disabilities. To ad…

q-fin.ST2023★ 11 cited

Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects

Simon Hirsch, Florian Ziel

Intraday electricity markets play an increasingly important role in balancing the intermittent generation of renewable energy resources, which creates a need for accurate probabili…

cs.HC2023★ 95 cited

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Florian Stadtman, Adil Rasheed, Trond Kvamsdal +21

This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It c…

q-fin.ST2022★ 13 cited

Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution

Simon Hirsch, Florian Ziel

During the last years, European intraday power markets have gained importance for balancing forecast errors due to the rising volumes of intermittent renewable generation. However,…