SARA RUIZ MORENO

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Profesor Sustituto

Contacto

Correo electrónico
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Tecnología 𳦳ٰóԾ

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Grupo de investigación

AUTOMATICA Y ROBOTICA INDUSTRIAL (AUTOM. Y ROB. INDUSTRIAL)

Proyectos y contratos de investigación

Ayudas para la formación de profesorado universitario (FPU) (FPU20/01958 - Investigador/a)
Optimal Control of Thermal Solar Energy (OCONTSOLAR) (EUROPEAN RESEARCH COUNCIL ACTION 789051 - Investigador/a)

Asistencia 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

Artículos publicados

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.. Renewable Energy. 2023. Vol: 211. Núm: 1. Pág. 76-86. https://doi.org/10.1016/j.renene.2023.04.051.
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. Solar Energy. 2023. Vol: 262. Núm: 111909. Pág. 1-9. https://doi.org/10.1016/j.solener.2023.111909.
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. Engineering Applications Of Artificial Intelligence. 2023. Vol: 118. Núm: 105666. Pág. 1-10. https://doi.org/10.1016/j.engappai.2022.105666.
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. Neural Computing and Applications. 2023. Vol: 35. Núm: 24. Pág. 17599-17618. https://doi.org/10.1007/s00521-023-08630-w.
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. Renewable Energy. 2022. Vol: 186. Pág. 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. Renewable Energy. 2021. Vol: 180. Pág. 193-202. https://doi.org/10.1016/j.renene.2021.08.058.