| 2025 | IDEAL | Integrating Physical Laws and Deep Learning: A Comparative Study of CNN and LSTM PINNs for Wind Energy. | Pablo-Andrs Buestn-Andrade, Matilde Santos, Jess Enrique Sierra-Garca, Nathalia Michelle Peralta Vsconez |
| 2025 | IDEAL | Exponential and Quadratic State Discretizations for Wind Turbine Collective Pitch Control Based on Q-Learning. | A. Gil Maci, Jess Enrique Sierra-Garca, Matilde Santos |
| 2024 | IDEAL | Development of a Database for Convolutional Neural Networks Simulating CFD Analysis. | Fernando Herrera-Marn, Jess Enrique Sierra-Garca, Matilde Santos |
| 2023 | HAIS | Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine. | Eduardo Muoz Palomeque, Jess Enrique Sierra-Garca, Matilde Santos Peas |
| 2023 | IDEAL | Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR. | Miguel ngel Garca-Vaca, Jess Enrique Sierra-Garca, Matilde Santos |
| 2023 | IDEAL | Glide Ratio Optimization for Wind Turbine Airfoils Based on Genetic Algorithms. | Jinane Radi, Abdelouahed Djebli, Jess Enrique Sierra-Garca, Matilde Santos |
| 2022 | HAIS | Combination of Neural Networks and Reinforcement Learning for Wind Turbine Pitch Control. | Jess Enrique Sierra-Garca, Matilde Santos |
| 2022 | IDEAL | Identification of Variables of a Floating Wind Turbine Prototype. | Juan Tecedor Roa, Carlos Serrano, Matilde Santos, Jess Enrique Sierra-Garca |
| 2021 | IDEAL | Wind Turbine Modelling Based on Neural Networks: A First Approach. | Jess Enrique Sierra-Garca, Matilde Santos |
| 2020 | IDEAL | Wind Turbine Pitch Control First Approach Based on Reinforcement Learning. | Jess Enrique Sierra-Garca, Matilde Santos |