[HTML][HTML] Adversarial image-to-image model to obtain highly detailed wind fields from mesoscale simulations in urban environments
J Milla-Val, C Montañés, N Fueyo - Building and Environment, 2024 - Elsevier
We propose a conditional Generative Adversarial Network (cGAN) that can produce detailed
local wind fields in urban areas, comparable in level of detail to those from Computational …
local wind fields in urban areas, comparable in level of detail to those from Computational …
[HTML][HTML] An image-to-image adversarial network to generate high resolution wind data over complex terrains from weather predictions
J Milla-Val, C Montañés, N Fueyo - Engineering Applications of Artificial …, 2025 - Elsevier
In this work, we propose a Machine Learning method to predict detailed wind fields over
extensive, complex terrains. The ability to predict local wind fields is becoming increasingly …
extensive, complex terrains. The ability to predict local wind fields is becoming increasingly …
Coupled analysis of floating offshore wind turbines with new mooring systems by CFD method
This paper presents a fully coupled aero-hydro-mooring numerical model of the National
Renewable Energy Laboratory's (NREL) 5 MW OC4 semi-submersible Floating Offshore …
Renewable Energy Laboratory's (NREL) 5 MW OC4 semi-submersible Floating Offshore …
Real-time prediction of mooring tension for semi-submersible platforms
L Yuan, Y Chen, Z Li - Applied Ocean Research, 2024 - Elsevier
The harsh operating environment of deepwater semi-submersible production platforms
poses severe challenges to the safe operation and maintenance of their production …
poses severe challenges to the safe operation and maintenance of their production …
The short-term wind power prediction based on a multi-layer stacked model of BOCNN-BiGRU-SA
W Chen, H Huang, X Ma, X Xu, Y Guan, G Wei… - Digital Signal …, 2025 - Elsevier
Wind power generation is influenced by various meteorological factors, exhibiting significant
volatility and unpredictability. This variability presents considerable challenges for accurate …
volatility and unpredictability. This variability presents considerable challenges for accurate …