7 papers
Development of a velocity form for a class of RNNs, with application to offset-free nonlinear MPC design
Daniele Ravasio, Bestem Abdulaziz, Marcello Farina +1
This paper addresses the offset-free tracking problem for nonlinear systems described by a class of recurrent neural networks (RNNs). To compensate for constant disturbances and gu…
Km-scale dynamical downscaling through conformalized latent diffusion models
Alessandro Brusaferri, Andrea Ballarino
Dynamical downscaling is crucial for deriving high-resolution meteorological fields from coarse-scale simulations, enabling detailed analysis for critical applications such as weat…
From Distributional to Quantile Neural Basis Models: the case of Electricity Price Forecasting
Alessandro Brusaferri, Danial Ramin, Andrea Ballarino
While neural networks are achieving high predictive accuracy in multi-horizon probabilistic forecasting, understanding the underlying mechanisms that lead to feature-conditioned ou…
Future Circular Collider Feasibility Study Report: Volume 2, Accelerators, Technical Infrastructure and Safety
M. Benedikt, F. Zimmermann, B. Auchmann +1461
In response to the 2020 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) Feasibility Study was launched as an international collaboration ho…
Future Circular Collider Feasibility Study Report: Volume 3, Civil Engineering, Implementation and Sustainability
M. Benedikt, F. Zimmermann, B. Auchmann +1461
Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability asp…
Future Circular Collider Feasibility Study Report: Volume 1, Physics, Experiments, Detectors
M. Benedikt, F. Zimmermann, B. Auchmann +1461
Volume 1 of the FCC Feasibility Report presents an overview of the physics case, experimental programme, and detector concepts for the Future Circular Collider (FCC). This volume o…