
Doris Sáez
Dr. Ing, Pontificia Universidad Catolica de Chile
Profesora Titular Control Predictivo y Control Difuso
doris.saez@uchile.cl
https://www.researchgate.net/profile/Doris-Saez
https://scholar.google.com/citations?hl=es&user=sQbSxDoAAAAJ
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 |