214 citations
- University of OsloNO22 papers
- Forschungszentrum JülichDE16 papers
- Instituto Nacional de Pesquisas EspaciaisBR10 papers
- Jülich Aachen Research AllianceDE10 papers
- Petersburg Nuclear Physics InstituteRU10 papers
- Norwegian University of Science and TechnologyNO9 papers
- RWTH Aachen UniversityDE8 papers
- University of California, RiversideUS8 papers
- Simula Research LaboratoryNO7 papers
- SINTEFNO6 papers
- Karlsruhe Institute of TechnologyDE5 papers
- The University of Texas at AustinUS5 papers
120 papers
Modelling the Nordic power system expansion with PyPSA-Eur: a comparison with the Nordic Grid Development Perspective 2025
Leonardo Rydin Gorjão, Heidi S. Nygård
We compare the Nordic Grid Development Perspective 2025 (NGDP) with a least-cost transition pathway for the Nordic power system obtained with PyPSA-Eur for the period 2025-2050 und…
Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations
Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-Sørensen
Accurate modeling and forecasting of power transformer thermal behavior are critical for reliability, asset lifetime, and optimized power system operation. Numerical approaches suc…
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…
Jump-diffusion models of parametric volume-price distributions
Anup Budhathoki, Leonardo Rydin Gorjão, Pedro G. Lind +1
We present a data-driven framework to model the stochastic evolution of volume-price distribution from the New York Stock Exchange (NYSE) equities. The empirical distributions are…
Modeling a Smooth Surface by a Constrained Biharmonic Equation with Application in Soil Science
Samson Seifu Bekele, Maregnesh Mechal Wolde, Claus Führer +2
This paper presents a method for mathematical modelling of surfaces conditioned on empirical data. It is based on solving a discrete biharmonic equation over a domain with given in…
Memory Effects in Disease Modelling Through Kernel Estimates with Oscillatory Time History
Adam Mielke, Mads Peter Sørensen, John Wyller
We design a linear chain trick algorithm for dynamical systems for which we have oscillatory time histories in the distributed time delay. We make use of this algorithmic framework…