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5 papers · 1 filter
Power Flow Balancing with Decentralized Graph Neural Networks
Jonas Berg Hansen, Stian Normann Anfinsen, Filippo Maria Bianchi
We propose an end-to-end framework based on a Graph Neural Network (GNN) to balance the power flows in energy grids. The balancing is framed as a supervised vertex regression task,…
Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface
Arngeir Berge, Vegard Velle Sjøen, Alain D. Starke +1
Salt is consumed at too high levels in the general population, causing high blood pressure and related health problems. In this paper, we present results of ongoing research that t…
Field-scale impacts of long-term wettability alteration in geological CO storage
Abay Kassa, Sarah Eileen Gasda, David Landa-Marbán +2
Constitutive functions that govern macroscale capillary pressure and relative permeability are central in constraining both storage efficiency and sealing properties of CO stor…
Deep learning for prediction of complex geology ahead of drilling
Kristian Fossum, Sergey Alyaev, Jan Tveranger +1
During a geosteering operation the well path is intentionally adjusted in response to the new data acquired while drilling. To achieve consistent high-quality decisions, especially…
Randomized maximum likelihood based posterior sampling
Yuming Ba, Jana de Wiljes, Dean S. Oliver +1
Minimization of a stochastic cost function is commonly used for approximate sampling in high-dimensional Bayesian inverse problems with Gaussian prior distributions and multimodal…