3 papers
stat.AP2024
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind Forecasting
Matthew Bonas, Paolo Giani, Paola Crippa +1
An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high re…
physics.flu-dyn2023
A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity
Matthew Bonas, David H. Richter, Stefano Castruccio
When a fluid flows over a solid surface, it creates a thin boundary layer where the flow velocity is influenced by the surface through viscosity, and can transition from laminar to…
physics.ao-ph2023
Calibrated Forecasts of Quasi-Periodic Climate Processes with Deep Echo State Networks and Penalized Quantile Regression
Matthew Bonas, Christopher K. Wikle, Stefano Castruccio
Among the most relevant processes in the Earth system for human habitability are quasi-periodic, ocean-driven multi-year events whose dynamics are currently incompletely characteri…