Publications de Fernando Porté Agel

Improving the accuracy and interpretability of neural networks for wind power forecasting

Fernando Porté Agel, Jiannong Fang, Wenlong Liao

Deep neural networks (DNNs) are receiving increasing attention in wind power forecasting due to their ability to effectively capture complex patterns in wind data. However, their forecast errors are severely limited by the local optimal weight issue in opt ...

2025

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

Fernando Porté Agel, Jiannong Fang, Wenlong Liao

Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box model that combines high accurac ...

2025

Wake of a floating wind turbine model under roll motion

Fernando Porté Agel, Guiyue Duan

The development of floating offshore wind turbine (FOWT) technology facilitates the exploration of deep-ocean wind resources. Meanwhile, there are still open questions on how the structural response will affect the performance of floating turbines and wind ...

IOP Publishing2025

Effect of roof fence shape on flow over a building and its impact on wind turbine performance

Fernando Porté Agel, Arslan Salim Dar

We investigate the effect of roof boundary fence shape on the flow over a cubic building and on the power and thrust performance of a roof-mounted wind turbine via wind-tunnel experiments. The effect of fence height, porosity, angle, and curvature is inves ...

Pergamon-Elsevier Science Ltd2025

TimeGPT in load forecasting: A large time series model perspective

Fernando Porté Agel, Jiannong Fang, Wenlong Liao

Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce. Inspired by the outstanding performance of large language models (LLMs) in computer vision and ...

2025

Theoretical and experimental study on power performance and wake characteristics of a floating wind turbine under pitch motion

Fernando Porté Agel, Guiyue Duan, Daniele Gattari

Understanding the effects of platform motion on the performance of floating wind turbines is essential to optimize the exploitation of deep-ocean wind resources. In this work, theoretical analyses and wind tunnel experiments are conducted to study the effe ...

2025

A model for the effect of pressure gradient on the induction and power of wind turbines

Fernando Porté Agel, Arslan Salim Dar, Tristan Revaz

Recent studies have shown that streamwise variations in base flow velocity and the resulting pressure gradients can affect the induction and power of wind turbines. However, current research lacks analytical models that explicitly predict the effect of pre ...

2025

Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number

Fernando Porté Agel, Peter Andreas Brugger, Corey Dean Markfort

Predictions of the dynamic wake meandering model (DWMM) were compared to flow measurements of a scanning Doppler lidar mounted on the nacelle of a utility-scale wind turbine. We observed that the wake meandering strength of the DWMM agrees better with the ...

2024

The effect of nacelle-to-rotor size on the wake of a miniature wind turbine

Fernando Porté Agel, Arslan Salim Dar, Rim Majzoub

Wind tunnel experiments are performed to investigate the effect of nacelle-to-rotor size on the wake of a wind turbine under different Reynolds numbers. Four different turbine configurations are tested, which vary in the rotor diameter and nacelle length a ...

IOP Science2024

Influence of incoming turbulent scales on the wind turbine wake: A large-eddy simulation study

Fernando Porté Agel, Dara Vahidi

In this study, we aim to investigate the influence of inflow turbulent length scales on wind turbine wakes. For this purpose, large-eddy simulations of the wake of a wind turbine are performed under neutral atmospheric conditions with different boundary la ...

AIP Publishing2024