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RUIZ MORENO, SARA

Perfil en ORCID: 0000-0001-7632-8211


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Perfil en Scopus: 57230793400 \


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Grupos de Investigación
  • AUTOMATICA Y ROBOTICA INDUSTRIAL
Responsable de los siguientes proyectos/ayudas en la US
Participa los siguientes proyectos/ayudas en la US

Proyectos:

  • Optimal Control of Thermal Solar Energy (OCONTSOLAR) ( EUROPEAN RESEARCH COUNCIL ACTION 789051 - Investigador/a).

Contratos:

  • Ayudas para la formación de profesorado universitario (FPU) ( FPU20/01958 - Investigador/a ).
Publicaciones

Publicaciones en Revistas:

  • 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
  • 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, 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
  • 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, 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. Núm. . 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. Núm. . 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