Sara Ruiz Moreno
Email: Solicitar correo
Perfil en ORCID: 0000-0001-7632-8211

Grupo de Investigación: Automatica y Robotica Industrial
Departamento/Unidad: Ingeniería de Sistemas y Automática
Situación profesional: Predoctoral PIF FPU Ministerio

Participa en los siguientes proyectos/ayudas en la US:

• Proyecto de investigación:
  • Técnicas de Control Predictivo Resiliente para la Gestión de Sistemas de Energía Renovables incluyendo Hidrógeno Verde (PID2022-142069OB-I00 - Equipo Trabajo (Alta/Baja))
  • Optimal Control of Thermal Solar Energy Systems-OCONTSOLAR (SI-1838/24/2018)
  
  

Cobertura de la base de datos de proyectos, véase aqui

Publicaciones:

Publicaciones en Revistas

Hassan, Ahmen, Ruiz Moreno, Sara, Domínguez Frejo, Jose Ramon, Maestre Torreblanca, José, Fernández Camacho, Eduardo:
Neural-Network Based MPC for Enhanced Lateral Stability in Electric Vehicles. En: IEEE Access. 2024. Vol. 12. Pag. 23565-23278. 10.1109/Access.2024.3362236

Fernández Camacho, Eduardo, Ruiz Moreno, Sara, Aguilar, José María, Gallego Len, Antonio, García Rodríguez, Ramón:
Control of Solar Energy Systems. 2024. Vol. 7. Núm. 1. Pag. 13-1-13-26. https://doi.org/10.1146/annurev-control-071023-103936

Ruiz Moreno, Sara, Gallego Len, Antonio, Fernández Camacho, Eduardo:
Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy. En: Solar Energy. 2023. Vol. 262. Núm. 111909. Pag. 1-9. https://doi.org/10.1016/j.solener.2023.111909

Ruiz Moreno, Sara, Gallego Len, Antonio, Sánchez del Pozo, Adolfo Juan, Fernández Camacho, Eduardo:
A cascade neural network methodology for fault detection and diagnosis in solar thermal plants. En: Renewable Energy. 2023. Vol. 211. Núm. 1. Pag. 76-86. https://doi.org/10.1016/j.renene.2023.04.051

Ruiz Moreno, Sara, Núñez Reyes, Amparo, García Cantalapiedra, Adrián, Pavón Pérez, Fernando:
Prototype generation method using a growing self-organizing map applied to the banking sector. En: Neural Computing and Applications. 2023. Vol. 35. Núm. 24. Pag. 17599-17618. https://doi.org/10.1007/s00521-023-08630-w

Masero, Eva, Ruiz Moreno, Sara, Domínguez Frejo, Jose Ramon, Maestre Torreblanca, José, Fernández Camacho, Eduardo:
A fast implementation of coalitional model predictive controllers based on machine learning: Application to solar power plants. En: Engineering Applications Of Artificial Intelligence. 2023. Vol. 118. Núm. 105666. Pag. 1-10. https://doi.org/10.1016/j.engappai.2022.105666

Ruiz Moreno, Sara, Sánchez del Pozo, Adolfo Juan, Gallego Len, Antonio, Fernández Camacho, Eduardo:
A deep learning-based strategy for fault detection and isolation in parabolic-trough collectors. En: Renewable Energy. 2022. Vol. 186. Pag. 691-703. https://doi.org/10.1016/j.renene.2022.01.029

Ruiz Moreno, Sara, Domínguez Frejo, Jose Ramon, Fernández Camacho, Eduardo:
Model predictive control based on deep learning for solar parabolic-trough plants. En: Renewable Energy. 2021. Vol. 180. Pag. 193-202. https://doi.org/10.1016/j.renene.2021.08.058

Aportaciones a Congresos

Ruiz Moreno, Sara, Gallego Len, Antonio, Sánchez del Pozo, Adolfo Juan, Fernández Camacho, Eduardo:
Fault Detection and Isolation Based on Deep Learning for a Fresnel Collector Field. Ponencia en Congreso. 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - SAFEPROCESS 2022 Pafos, Cyprus, 8-10 June 2022. Pafos, Cyprus. 2022

Ruiz Moreno, Sara, Gallego Len, Antonio, Sánchez del Pozo, Adolfo Juan, Fernández Camacho, Eduardo:
Deep Learning-Based Fault Detection and Isolation in Solar Plants for Highly Dynamic Days. Ponencia en Congreso. 2022 International Conference on Control, Automation and Diagnosis (ICCAD). Lisboa. 2021

Núñez Reyes, Amparo, Ruiz Moreno, Sara:
Spatial Estimation of Solar Radiation Using Geostatistics and Machine Learning Techniques. Ponencia en Congreso. 21st IFAC World Congress (Virtual). Berlin. Germany. 2020