Sábado 21 Junio, 2025  

 

EN
Profesora Doris Sáez. Universidad de Chile. FCFM .DIE

Doris Sáez

Dr. Ing, Pontificia Universidad Catolica de Chile

Profesora Titular Control Predictivo y Control Difuso

doris.saez@uchile.cl

2024


Curilem, C. E., Novoa, C. S., Saldías, M. C., Quinan, F. H., Hueichapan, D. S., & Alarcón, D. B. (2024). Improving volcanic event recognition through new seismic signals representation. 2024 IEEE Latin American Conference On Computational Intelligence, LA-CCI 2024 – Proceedings, 1-6. https://doi.org/10.1109/la-cci62337.2024.10814838

Cartagena, O., Sáez, D., & Skrjanc, I. (2024). Two-Stages Interval Fuzzy Model for Forecasting Wind Power in Microgrids. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8. https://doi.org/10.1109/fuzz-ieee60900.2024.10612141

Jiménez, L., Cartagena, O., Ocaranza, J., Navas-Fonseca, A., & Sáez, D. (2024b). Fuzzy Interval-Based Fault Detection for Water Consumption Profiles From Isolated Communities. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8. https://doi.org/10.1109/fuzz-ieee60900.2024.10612213

Ocaranza, J., Sáez, D., Daniele, L., & Ahumada, C. (2024b). Energy-water management system based on robust predictive control for open-field cultivation. The Science Of The Total Environment, 946, 174241. https://doi.org/10.1016/j.scitotenv.2024.174241

Cartagena, O., Trovò, F., & Sáez, D. (2024). A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting. Expert Systems With Applications, 255, 124715. https://doi.org/10.1016/j.eswa.2024.124715

Vélez-Gómez, B., Perna, A., Vazquez, C., Ketzoian, C., Lillo, P., Godoy-Reyes, G., Sáez, D., Vaillant, T. Z., Gil, J. V. G., Lara-Fernández, G. E., Povedano, M., Heverin, M., McFarlane, R., Logroscino, G., & Hardiman, O. (2023). LAENALS: epidemiological and clinical features of amyotrophic lateral sclerosis in Latin America. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, 25(1-2), 119-127. https://doi.org/10.1080/21678421.2023.2271517

Cartagena, O., Trovò, F., Roveri, M., & Sáez, D. (2023). Evolving Fuzzy Prediction Intervals in Nonstationary Environments. IEEE Transactions On Emerging Topics In Computational Intelligence, 8(1), 903-916. https://doi.org/10.1109/tetci.2023.3296486

Morales, R., Marín, L. G., Roje, T., Caquilpan, V., Sáez, D., & Nuñez, A. (2023). Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile. Expert Systems With Applications, 235, 121179. https://doi.org/10.1016/j.eswa.2023.121179


2023


Rojas, J., Ahumada, C., Esquivel, Y. A., Cárdenas, R., & Sáez, D. (2023). Feed-Forward compensation for the Reduction of Vibrations in Ship’s Generators. En 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp. 1574-1581). (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE53617.2023.10362228

Godoy-Garrido, R., Reyes-Chamorro, L., Arévalo, R., & Hueichapan, D. S. (2023). Evaluation of Integrated-Energy Projects: A Simplified Tool for Non-Expert Project Developers. 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023, 1-5. https://doi.org/10.1109/isgt-la56058.2023.10328320

Navas-Fonseca, A., Burgos-Mellado, C., Gómez, J. S., Espina, E., Llanos, J., Sáez, D., Sumner, M., & Olivares, D. E. (2023b). Distributed predictive secondary control with soft constraints for optimal dispatch in hybrid AC/DC microgrids. IEEE Transactions On Smart Grid, 14(6), 4204-4218. https://doi.org/10.1109/tsg.2023.3261569

Espina, E., Cárdenas-Dobson, R. J., Simpson-Porco, J. W., Kazerani, M., & Sáez, D. (2023). A Consensus-Based Distributed Secondary Control Optimization Strategy for Hybrid Microgrids. IEEE Transactions On Smart Grid, 14(6), 4242-4255. https://doi.org/10.1109/tsg.2023.3263107

Parra, S., & Sáez, D. (2023). Deep learning prediction intervals based on selective joint supervision. Applied Intelligence, 53(19), 21706-21722. https://doi.org/10.1007/s10489-023-04610-8

Cartagena, O., Ožbot, M., Sáez, D., & Škrjanc, I. (2023). Evolving fuzzy prediction interval for fault detection in a heat exchanger. Applied Soft Computing, 145, 110625. https://doi.org/10.1016/j.asoc.2023.110625

Rojas, L., Ocaranza, J., Cartagena, O., Sáez, D., Daniele, L., & Ahumada, C. (2023b). Robust Energy-Water Management System with Prediction Interval Based on Deep Learning. 2022 International Joint Conference On Neural Networks (IJCNN), 1-9. https://doi.org/10.1109/ijcnn54540.2023.10191862

Endo, A., Parra, S., Cartagena, O., Sáez, D., Muñoz, C., & Huircan, J. I. (2023). Energy–Water Management System Based on MPC for a Greenhouse in a Mapuche Indigenous Community. Applied Sciences, 13(8), 4734. https://doi.org/10.3390/app13084734

Rute-Luengo, E., Navas-Fonseca, A., Gomez, J. S., Espina, E., Burgos-Mellado, C., Saez, D., Sumner, M., & Munoz-Carpintero, D. (2022b). Distributed Model-Based Predictive Secondary Control for Hybrid AC/DC Microgrids. IEEE Journal Of Emerging And Selected Topics In Power Electronics, 11(1), 627-642. https://doi.org/10.1109/jestpe.2022.3157979

Bustos, R., Marín, L. G., Navas-Fonseca, A., Reyes-Chamorro, L., & Sáez, D. (2023b). Hierarchical energy management system for multi-microgrid coordination with demand-side management. Applied Energy, 342, 121145. https://doi.org/10.1016/j.apenergy.2023.121145


2022


Ahumada, C., Tarisciotti, L., Sepulveda, D., & Saez, D. (2022b). Model Predictive Control for the Reduction of Marine Propellers Vibrations. 2022 IEEE Energy Conversion Congress And Exposition (ECCE), 1-8. https://doi.org/10.1109/ecce50734.2022.9947717

Bustos, R., Marin, L. G., Navas-Fonseca, A., Saez, D., & Estevez, G. J. (2022b). Demand Side Management for Microgrids based on Fuzzy Prediction Intervals. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee55066.2022.9882786

Endo, A., Cartagena, O., Ocaranza, J., Saez, D., & Munoz, C. (2022). Fuzzy and Neural Prediction Intervals for Robust Control of a Greenhouse. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8. https://doi.org/10.1109/fuzz-ieee55066.2022.9882701

Köbrich, D., Marín, L. G., Muñoz‐Carpintero, D., Ahumada, C., Sáez, D., Sumner, M., & Jiménez‐Estévez, G. (2022b). A robust distributed energy management system for the coordinated operation of rural multi‐microgrids. International Journal Of Energy Research, 46(14), 19775-19795. https://doi.org/10.1002/er.8502

Nova, M., Munoz-Carpintero, D., & Saez, D. (2022). Fuzzy Model Predictive Control for Takagi & Sugeno Systems with Optimised Prediction Dynamics. 2022 European Control Conference (ECC), 1790-1796. https://doi.org/10.23919/ecc55457.2022.9838066

Rey, J. M., Vera, G. A., Acevedo-Rueda, P., Solano, J., Mantilla, M. A., Llanos, J., & Sáez, D. (2022). A Review of Microgrids in Latin America: Laboratories and Test Systems. IEEE Latin America Transactions, 20(6), 1000–1011. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6235

Rey, J. M., Vera, G. A., Acevedo-Rueda, P., Solano, J., Mantilla, M. A., Llanos, J., & Sáez, D. (2022). A Review of Microgrids in Latin America: Laboratories and Test Systems. IEEE Latin America Transactions, 20(6), 1000–1011. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6235

Navas-Fonseca, A., Burgos-Mellado, C., Gomez, J. S., Donoso, F., Tarisciotti, L., Saez, D., Cardenas, R., & Sumner, M. (2021b). Distributed Predictive Secondary Control for Imbalance Sharing in AC Microgrids. IEEE Transactions On Smart Grid, 13(1), 20-37. https://doi.org/10.1109/tsg.2021.3108677

2021


Espina, E., Navas, A., Gomez, J. S., Simpson-Porco, J. W., Cardenas, R., Saez, D., & Kazerani, M. (2021b). Experimental Performance Evaluation of a Distributed Secondary Control Strategy for Hybrid ac/dc-Microgrids in the Event of Communication Loss/Delay. 2021 23rd European Conference On Power Electronics And Applications, EPE 2021 ECCE Europe, P.1-P.10. https://doi.org/10.23919/epe21ecceeurope50061.2021.9570572

Navas-Fonseca, A., Burgos-Mellado, C., Gomez, J. S., Llanos, J., Espina, E., Saez, D., & Sumner, M. (2021b). Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation. IECON 2020 The 46th Annual Conference Of The IEEE Industrial Electronics Society, 1-7. https://doi.org/10.1109/iecon48115.2021.9589500

Navas-Fonseca, A., Burgos-Mellado, C., Espina, E., Rute, E., Gomez, J. S., Saez, D., & Sumner, M. (2021b). Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids. 2021 IEEE 4th International Conference On DC Microgrids, ICDCM 2021. https://doi.org/10.1109/icdcm50975.2021.9504612

Rozas, H., Muñoz-Carpintero, D., Saéz, D., & Orchard, M. E. (2021). Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy. Expert Systems With Applications, 184, 115489. https://doi.org/10.1016/j.eswa.2021.115489

Raya-Armenta, J. M., Bazmohammadi, N., Avina-Cervantes, J. G., Sáez, D., Vasquez, J. C., & Guerrero, J. M. (2021). Energy management system optimization in islanded microgrids: An overview and future trends. Renewable And Sustainable Energy Reviews, 149, 111327. https://doi.org/10.1016/j.rser.2021.111327

F, A. N., Gomez, J. S., Llanos, J., Rute, E., Saez, D., & Sumner, M. (2021b). Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch. IEEE Transactions On Smart Grid, 12(4), 2748-2759. https://doi.org/10.1109/tsg.2021.3053092

Rodríguez-Seeger, C., Sáez-Hueichapan, D., Fuenzalida-Artigas, A., Ñancupil-Quirilao, I., Lienqueo, M. E., Contreras-Painemal, C., & Díaz-Alvarado, F. (2021). Decolonizing the training of engineers and scientists: The case of the Faculty of Physical Sciences and Mathematics at Universidad de Chile. Scholarship Of Teaching And Learning In The South, 5(1), 87-106. https://doi.org/10.36615/sotls.v5i1.181

Cartagena, O., Parra, S., Munoz-Carpintero, D., Marin, L. G., & Saez, D. (2021). Review on Fuzzy and Neural Prediction Interval Modelling for Nonlinear Dynamical Systems. IEEE Access, 9, 23357-23384. https://doi.org/10.1109/access.2021.3056003

Espina, E., Cardenas-Dobson, R., Simpson-Porco, J. W., Saez, D., & Kazerani, M. (2020). A Consensus-Based Secondary Control Strategy for Hybrid AC/DC Microgrids With Experimental Validation. IEEE Transactions On Power Electronics, 36(5), 5971-5984. https://doi.org/10.1109/tpel.2020.3031539

2020


Espina, E., Llanos, J., Burgos-Mellado, C., Cardenas-Dobson, R., Martinez-Gomez, M., & Saez, D. (2020). Distributed Control Strategies for Microgrids: An Overview. IEEE Access, 8, 193412-193448. https://doi.org/10.1109/access.2020.3032378

Espina, E., Burgos-Mellado, C., Gomez, J. S., Llanos, J., Rute, E., F, A. N., Martinez-Gomez, M., Cardenas, R., & Sacz, D. (2020b). Experimental Hybrid AC/DC-Microgrid Prototype for Laboratory Research. 2020 22nd European Conference On Power Electronics And Applications, EPE 2020 ECCE Europe, 1-9. https://doi.org/10.23919/epe20ecceeurope43536.2020.9215751

Burgos-Mellado, C., Llanos, J., Espina, E., Saez, D., Cardenas, R., Sumner, M., & Watson, A. (2020). Single-Phase Consensus-Based Control for Regulating Voltage and Sharing Unbalanced Currents in 3-Wire Isolated AC Microgrids. IEEE Access, 8, 164882-164898. https://doi.org/10.1109/access.2020.3022488

Roje, T., Sáez, D., Muñoz, C., & Daniele, L. (2020). Energy–Water Management System Based on Predictive Control Applied to the Water–Food–Energy Nexus in Rural Communities. Applied Sciences, 10(21), 7723. https://doi.org/10.3390/app10217723

Pekaslan, D., Wagner, C., Garibaldi, J. M., Marin, L. G., & Saez, D. (2020). Uncertainty-Aware Forecasting of Renewable Energy Sources. Proceedings – 2020 IEEE International Conference On Big Data And Smart Computing, BigComp 2020, 240-246. https://doi.org/10.1109/bigcomp48618.2020.00-68

Munoz-Carpintero, D., Parra, S., Cartagena, O., Saez, D., Marin, L. G., & Skrjanc, I. (2020). Fuzzy Interval Modelling based on Joint Supervision. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8. https://doi.org/10.1109/fuzz48607.2020.9177779

Endo, A., Cartagena, O., Saez, D., & Munoz-Carpintero, D. (2020). Predictive Control based on Fuzzy Optimization for Multi-Room HVAC Systems. 2022 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8. https://doi.org/10.1109/fuzz48607.2020.9177830

Diaz, C., Quintero, V., Perez, A., Jaramillo, F., Burgos-Mellado, C., Rozas, H., Orchard, M. E., Saez, D., & Cardenas, R. (2020). Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications. IEEE Transactions On Vehicular Technology, 69(7), 7187-7200. https://doi.org/10.1109/tvt.2020.2993949

Burgos-Mellado, C., Llanos, J. J., Cardenas, R., Saez, D., Olivares, D. E., Sumner, M., & Costabeber, A. (2019). Distributed Control Strategy Based on a Consensus Algorithm and on the Conservative Power Theory for Imbalance and Harmonic Sharing in 4-Wire Microgrids. IEEE Transactions On Smart Grid, 11(2), 1604-1619. https://doi.org/10.1109/tsg.2019.2941117

Gomez, J. S., Saez, D., Simpson-Porco, J. W., & Cardenas, R. (2019). Distributed Predictive Control for Frequency and Voltage Regulation in Microgrids. IEEE Transactions On Smart Grid, 11(2), 1319-1329. https://doi.org/10.1109/tsg.2019.2935977

Serban, I., Cespedes, S., Marinescu, C., Azurdia-Meza, C. A., Gomez, J. S., & Hueichapan, D. S. (2020b). Communication Requirements in Microgrids: A Practical Survey. IEEE Access, 8, 47694-47712. https://doi.org/10.1109/access.2020.2977928

Espina, E., Cardenas-Dobson, R., Espinoza-B, M., Burgos-Mellado, C., & Saez, D. (2019). Cooperative Regulation of Imbalances in Three-Phase Four-Wire Microgrids Using Single-Phase Droop Control and Secondary Control Algorithms. IEEE Transactions On Power Electronics, 35(2), 1978-1992. https://doi.org/10.1109/tpel.2019.2917653

 

Diseño e implementación de prototipo tecnológico IoT/Renovable con enfoque intercultural para escuelas rurales indígenas

  • Investigadores: Doris Sáez
  • Código: ID24I10010
  • Inicio: 01/03/2024
  • Fin: 01/03/2026
  • Programa: Subdirección de Investigación Aplicada

Sistema de gestión de energía para múltiples microrredes basadas en hidrógeno verde

  • Investigadores: Doris Sáez
  • Código: FOVI230056
  • Inicio: 01/11/2023
  • Fin: 01/11/2025
  • Programa: Subdirección de Redes, Estrategia y Conocimiento (REC)

Sea Harbour Operation with Renewable Energies (SHORE)

  • Investigadores: J. Cárdenas / C. Ahumada, D. Sáez
  • Código: ATE230035
  • Inicio: 01/08/2023
  • Fin: 01/08/2026
  • Programa: Programa de Investigación Asociativa

Enhanced Control Flexibility of Modular Multilevel Converters through Continuous Set Model Predictive Control

  • Investigadores: J. Cárdenas, D. Sáez
  • Código: 1221392
  • Inicio: 01/04/2022
  • Fin: 01/04/2026
  • Programa: Fondecyt_Anid

Distributed Predictive Control Strategies based on Evolving Prediction Intervals for Energy-Water Microgrids

  • Investigadores: D. Sáez / D. Daniele, C. Ahumada, M. Orchard
  • Código: 1220507
  • Inicio: 01/04/2022
  • Fin: 01/04/2026
  • Programa: Fondecyt_Anid
Autores Título Año
Moreno Vásquez, Benjamín Andrés Estrategias de sintonización y estabilidad para control predictivo distribuido secundario de micro-redes 2024
Jiménez Verdugo, Luis Alberto Sistema de gestión y coordinación de micro-redes agua-energía basado en control predictivo difuso 2024
Manríquez Barra, Álvaro Ignacio Control predictivo difuso para la optimización del uso de agua de riego en fruticultura 2024
Astudillo Calderón, Lucas Nicolás Análisis de operación de una micro-red portuaria frente a la conexión y desconexión eléctrica de barcos, por medio de simulación en base a datos del puerto central en Chile 2024
Alegría Soto, Matías Andr Control secundario distribuido con despacho económico eléctrico-hídrico para micro-redes agua-energía 2024
Meyer Sanhueza, Felipe Andrés Control predictivo difuso robusto sobre la temperatura de fluidos de transferencia de calor en receptores centrales solares 2024
Cartagena Villalobos, Oscar Andrés Design of evolving fuzzy prediction intervals 2024
Rojas Victoriano, Lucas Felipe Diseño e implementación de modelos de intervalos neuronales para sistema de gestión de agua-energía de cultivos 2023
Poblete Manzano, Óscar Felipe Diseño e implementación de un sistema tecnológico para invernaderos en la comunidad José Painecura Hueñalihuen 2023
Jones Herrera, Maximiliano Tomás Plataforma abierta de detección de anomalías y aprendizaje automático para apoyo a la toma de decisiones en la gestión de aguas subterráneas 2023
Endo Lavado, Álvaro Cristóbal Sistema de gestión de agua y energía para invernaderos de comunidades rurales indígenas 2022
Bustos Marambio, Roberto Ignacio Brad Control predictivo para un sistema de coordinación de micro-redes considerando gestión de la demanda 2022
Navas Fonseca, Alex Dario A distributed predictive secondary control for voltage and frecuency regulation, economic dispatch and imbalance sharing in isolated microgrids 2022
Lasso Bittner, Daniela Control difuso de temperatura y humedad de un invernadero en la Comunidad José Painecura Hueñalihuen 2022
Merino Machuca, Joaquín Diseño e implementación de una estrategia de control para sistemas de riego utilizando aprendizaje reforzado 2022
Casanova Fernández, Martina Isidora Propuesta para el desarrollo agronómico de la comunidad Lafquenche José Painecura 2021
Espina González, Enrique Antonio Distributed secondary control of hybrid AC/DC microgrids 2021
Nova Sepúlveda, Manuel Alejandro Diseño e implementación de estrategias de control predictivo para sistemas difusos basados en desigualdades matriciales lineales 2021
Parra Flores, Sebastián Alfonso Iván Diseño de intervalos de predicción neuronales basados en deep learning y joint supervisión 2021
Jofré Ortega, Esteban Marcelo Metodología para evaluar el desempeño de controladores distribuidos en micro redes, frente a fallas en líneas de comunicación 2020
Köbrich Echavarri, Daniel Control predictivo distribuido robusto para la coordinación de micro-redes 2020
Rute Luengo, Erwin Andrés Control predictivo secundario distribuido para micro-redes híbridas AC/DC 2020
Llanos Proaño, Jacqueline del Rosario Design and evaluation of distributed controllers for optimal dispatch and congestion management of microgrids 2020
Roje Godoy, Tomislav Andrés Control predictivo aplicado al nexo “agua-energía-alimento” en comunidades rurales 2020
Gómez Quintero, Juan Sebastián Distributed predictive control for frecuency and voltage regulation in microgrids 2020