David Huergo

According to our database, David Huergo authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Reinforcement learning to maximize wind turbine energy generation.

Daniel Soler, Oscar A. Mariño, David Huergo, Martín de Frutos, Esteban Ferrer

Expert Syst. Appl., 2024

Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers.

David Huergo, Martín de Frutos, Eduardo Jané, Oscar A. Mariño, Gonzalo Rubio, Esteban Ferrer

CoRR, 2024

A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers.

David Huergo, Laura Alonso, Saumitra Joshi, Adrian Juanicoteca, Gonzalo Rubio, Esteban Ferrer

CoRR, 2024

Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions.

Martín de Frutos, Oscar A. Mariño, David Huergo, Esteban Ferrer

CoRR, 2024

Reinforcement learning to maximise wind turbine energy generation.

Daniel Soler, Oscar A. Mariño, David Huergo, Martín de Frutos, Esteban Ferrer

CoRR, 2024

2023

HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications.

Esteban Ferrer, Gonzalo Rubio, Gerasimos Ntoukas, Wojciech Laskowski, Oscar A. Mariño, Stefano Colombo, Andrés Mateo-Gabín, H. Marbona, Fernando Manrique de Lara, David Huergo, Juan Manzanero, Andrés M. Rueda-Ramírez, David A. Kopriva, Eusebio Valero

Comput. Phys. Commun., June, 2023

A reinforcement learning strategy for p-adaptation in high order solvers.

David Huergo, Gonzalo Rubio, Esteban Ferrer

CoRR, 2023

2022

HORSES3D: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications.

Esteban Ferrer, Gonzalo Rubio, Gerasimos Ntoukas, Wojciech Laskowski, Oscar A. Mariño, Stefano Colombo, Andrés Mateo-Gabín, Fernando Manrique de Lara, David Huergo, Juan Manzanero, Andrés M. Rueda-Ramírez, David A. Kopriva, Eusebio Valero

CoRR, 2022