Publications de Fernando Porté Agel

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

Jiannong Fang, Fernando Porté Agel, 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

Jiannong Fang, Fernando Porté Agel, 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

Jiannong Fang, Fernando Porté Agel, 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, Tristan Revaz, Arslan Salim Dar

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, Corey Dean Markfort, Peter Andreas Brugger

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

Wind turbine wake superposition under pressure gradient

Fernando Porté Agel, Arslan Salim Dar

We investigate the effect of pressure gradient on the cumulative wake of multiple turbines in wind tunnel experiments spanning across a range of adverse pressure gradient (APG), zero pressure gradient (ZPG), and favorable pressure gradient (FPG). Compared ...

2024

Influence of wind direction on flow over a cliff and its interaction with a wind turbine wake

Fernando Porté Agel, Arslan Salim Dar

2024

Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue

Fernando Porté Agel, Mou Lin

The wind turbine array consists of eight NREL 5-MW reference turbines aligned with the inflow direction. The first turbine in the array is subjected to sinusoidal yaw control with a magnitude of 10∘ and different yaw frequencies. Based on spectral and dyna ...

Pergamon-Elsevier Science Ltd2024

Potential of Wake Scaling Techniques for Vertical-Axis Wind Turbine Wake Prediction

Fernando Porté Agel, Dara Vahidi

Analytical wake models are widely used to predict wind turbine wakes. While these models are well-established for horizontal-axis wind turbines (HAWTs), the analytical wake models for vertical-axis wind turbines (VAWTs) remain under-explored in the wind en ...

MDPI AG2024

A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search space

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

This work presents a novel hybrid (physics- and data -driven) model for short-term (intra-day and day-ahead, 3h -24h) wind power forecasting (STWPF). Traditionally, STWPF predictors admitted very few meteorological variables only from the grid points close ...

Elsevier Sci Ltd2024

Can we trust explainable artificial intelligence in wind power forecasting?

Jiannong Fang, Fernando Porté Agel, Wenlong Liao

Advanced artificial intelligence (AI) models typically achieve high accuracy in wind power forecasting, but their internal mechanisms lack interpretability, which undermines user confidence in forecast value and strategy execution. To this end, this paper ...

Elsevier BV2024

Effect of hills on wind turbine flow and power efficiency: A large-eddy simulation study

Fernando Porté Agel, Tristan Revaz

This study investigates the influence of topography on wind turbine flow and power efficiency. Specifically, a standalone wind turbine is positioned at the top of idealized two-dimensional hills, and the effects of hill geometry and turbine position are sy ...

AIP Publishing2024

Power performance of a model floating wind turbine subjected to cyclic pitch motion: A wind tunnel study

Fernando Porté Agel, Guiyue Duan, Daniele Gattari

Wind tunnel experiments were performed with a miniature floating wind turbine model to study the effects of cyclic pitch motion on its power performance. The cyclic pitch motion was prescribed by two key parameters: pitch frequency and amplitude. The power ...

IOPscience2024

Solar-assisted clean steam generator, a cleaner production approach for sustainable healthcare facilities

Fernando Porté Agel, Ahmad Arabkoohsar, Mohammad Jamshidmofid

Healthcare sector buildings, particularly hospitals, significantly contribute to global energy consumption and greenhouse gas emissions. Hospitals require a substantial amount of steam, including the essential hygienic or " clean steam, " that is currently ...

Elsevier Sci Ltd2024

An improved statistical wake meandering model

Fernando Porté Agel, Corey Dean Markfort, Peter Andreas Brugger

A new statistical wake meandering (SWM) model is proposed that improves on existing models in the literature. Compared to the existing SWM models, the proposed model has a closed description that does not require simulations to create look-up tables while ...

IOP Publishing2024