Publications

Publications folder (under construction)

Book / Book Chapter

Núñez, A., Sáez, D., Cortés, C. “Hybrid Predictive Control for Dynamic Transport Problems”. Springer-Verlag London, Series Advances in Industrial Control, England, 2012, 176 páginas. ISBN: 978-1-4471-4350-5. Link

Sáez, D., Cipriano, A., Ordys, A. “Optimization of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants”. Springer-Verlag London, Series Advances in Industrial Control, England, 2002, 187 páginas. ISBN: 978-1-4471-1081-1. Link

Sáez, D., Cipriano, A. “Supervisory Predictive Control of a Combined Cycle Thermal Power Plant”, Capítulo del libro “Thermal power plant simulation, monitor and control” editado por D. Flynn; IEE, The Institution of Electrical Engineering, 2003, United Kingdom, pp. 161-178, ISBN: 0 85296 419 6.

International Journal Papers

  1. Morales, R., Marín. L., Roje, T., Caquilpan, V., Sáez, D., Nuñez, A., Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile, Expert Systems with Applications, Volume 235, 2024, 121179, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.121179.
  2. O. Cartagena, F. Trovò, M. Roveri and D. Sáez, «Evolving Fuzzy Prediction Intervals in Nonstationary Environments,» in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2023.3296486.
  3. Cartagena, O., Ožbot, M., Sáez, D., Škrjanc, I. Evolving fuzzy prediction interval for fault detection in a heat exchanger, Applied Soft Computing, Volume 145, 2023, 110625,ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2023.110625.
  4. Bustos, R., Marín, L., Navas-Fonseca, A., Reyes, L., Sáez, D., Hierarchical Energy Management System for Multi-Microgrid Coordination with Demand-Side Management, Applied Energy, 2023, 342, 121145.
  5. A. Navas-Fonseca, C. Burgos-Mellado, J. S. Gómez, E. Espina, J. Llanos, D. Śaez, M. Sumner, D. E. Olivares «Distributed predictive secondary control with soft constraints for optimal dispatch in hybrid AC/DC microgrids,» in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2023.3261569.
  6. Espina, R. Cárdenas-Dobson, J. W. Simpson-Porco, M. Kazerani and D. Sáez, «A Consensus-Based Distributed Secondary Control Optimization Strategy for Hybrid Microgrids,» in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2023.3263107.
  7. Endo, A.; Parra, S.; Cartagena, O.; Sáez, D.; Muñoz, C.; Huircan, J.I. Energy–Water Management System Based on MPCfor a Greenhouse in a Mapuche Indigenous Community. Appl. Sci. 2023, 13, 4734. https://doi.org/10.3390/app13084734.
  8. Parra, D. Sáez, Deep Learning Prediction Intervals based on Selective Joint Supervision, Applied Intelligence, 2023.
  9. E. Rute-Luengo, A. Navas-Fonseca, J. Gómez, E. Espina, C. Burgos-Mellado, D. Sáez, M. Sumner, D. Muñoz-Carpintero «Distributed Model-based Predictive Secondary Control for Hybrid AC/DC Microgrids,» in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 11, no. 1, pp. 627-642, Feb. 2023, doi: 10.1109/JESTPE.2022.3157979.
  10. Köbrich, L. G. Marín, D. Muñoz-Carpintero, C. Ahumada, D.  Sáez, M. Sumner, G. Jiménez-Estévez “A robust distributed energy management system for the coordinated operation of rural multi‐microgrids,” International Journal of Energy Research, August 2022. https://doi.org/10.1002/er.8502.
  11. M. Rey Geovanni , P. Acevedo-Rueda, J. Solano, M. A. Mantilla, J. Llanos, D.  Sáez «A Review of Microgrids in Latin America: Laboratories and Test Systems,» in IEEE Latin America Transactions, vol. 20, no. 6, pp. 1000-1011, June 2022, doi: 10.1109/TLA.2022.9757743.
  12. Navas-Fonseca, A., Burgos-Mellado, C., Gómez, J., Donoso, F., Tarisiotti, L., Sáez, D., Cárdenas, R., Summer, M., «Distributed Predictive Secondary Control for Imbalance Sharing in AC Microgrids,» in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 20-37, Jan. 2022, doi: 10.1109/TSG.2021.3108677.
  13. Rozas, H., Muñoz-Carpintero, Sáez, D., Orchard, M., “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, 2021, 115489, doi.org/10.1016/j.eswa.2021.115489.
  14. Raya-Armenta, J., Bazmohammadi, N., Avina-Cervantes, J., Sáez, D., Vasquez, J. C. and Guerrero, J. “Energy Management System Optimization in Islanded Microgrids: An Overview and Future Trends”, Renewable and Sustainable Energy Reviews, vol. 149, October 2021, 111327, doi.org/10.1016/j.rser.2021.111327.
  15. Cartagena, O., Parra, S., Muñoz-Carpintero, D., Marín, L., Sáez, D., “Review on Fuzzy and Neural Prediction Interval Modelling for Nonlinear Dynamical Systems”, in IEEE Access, vol. 9, pp. 23357-23384, 2021, doi: 10.1109/ACCESS.2021.3056003.
  16. Espina, E., Cardenas-Dobson, R., Simpson-Porco, J. W., Saez, D., Kazerani, M., «A Consensus-Based Secondary Control Strategy for Hybrid ac/dc Microgrids with Experimental Validation,» in IEEE Transactions on Power Electronics, vol. 36, no. 5, pp. 5971-5984, May 2021, doi: 10.1109/TPEL.2020.3031539.
  17. Navas, A., Gómez, J. S., Llanos, J., Rute, E., Sáez, D., Sumner, M., “Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch” in IEEE Transactions on Smart Grid, Accepted 2021, doi: 10.1109/TSG.2021.3053092.
  18. Roje, T., Sáez, D., Muñoz, C., Daniele, L., “Energy–Water Management System Based on Predictive Control Applied to the Water–Food–Energy Nexus in Rural Communities”, Applied Sciences. 2020; 10(21):7723. https://doi.org/10.3390/app10217723.
  19. Burgos-Mellado, C., Llanos, J., Espina, E., Sáez, D., Cárdenas, R., Sumner, M., Watson, A., «Single-Phase Consensus-Based Control for Regulating Voltage and Sharing Unbalanced Currents in 3-Wire Isolated AC Microgrids,» in IEEE Access, vol. 8, pp. 164882-164898, 2020, doi: 10.1109/ACCESS.2020.3022488.
  20. Espina, E., Llanos, J., Burgos-Mellado, C., Cárdenas-Dobson, R., Martínez-Gómez, M., Sáez, D., «Distributed Control Strategies for Microgrids: An Overview,» in IEEE Access, vol. 8, pp. 193412-193448, 2020, doi: 10.1109/ACCESS.2020.3032378.
  21. Diaz, C., Quintero, V., Pérez, A., Jaramillo, F., Burgos-Mellado, C., Rozas, H., Orchard, M., Sáez, D., Cárdenas, R. “ Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications,» in IEEE Transactions on Vehicular Technology, vol. 69, no. 7, pp. 7187-7200, July 2020, doi: 10.1109/TVT.2020.2993949.
  22. Serban, I., Céspedes, S., Marinescu, C., Azurdia-Meza, C., Gómez, J, Sáez, D. «Communication Requirements in Microgrids: a Practical Survey,» IEEE Access, vol. 8, pp. 47694-47712, 2020, doi: 10.1109/ACCESS.2020.2977928.
  23. Gómez, J., Sáez, D., Simpson-Porco, J., Cárdenas, R., “Distributed Predictive Control for Frequency and Voltage Regulation in Microgrids,” IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1319-1329, March 2020, doi: 10.1109/TSG.2019.2935977.
  24. Burgos-Mellado, C., Llanos, J., Cárdenas, R., Sáez, D., Olivares, D., Sumner, M., Costabeber, A., “Distributed Control Strategy Based on a Consensus Algorithm and on the Conservative Power Theory for Imbalances and Harmonics Sharing in 4-Wire Microgrids”, IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1604-1619, March 2020, doi: 10.1109/TSG.2019.2941117.
  25. Espina, E., Cardenas-Dobson, R., Espinoza-B, M., Burgos-Mellado, C., Sáez, D., “Cooperative Regulation of Imbalances in Three-Phase Four-Wire Microgrids Using Single-Phase Droop Control and Secondary Control Algorithms”.IEEE Transactions on Power Electronics, vol. 35, no. 2, pp. 1978-1992, Feb. 2020, doi: 10.1109/TPEL.2019.2917653.
  26. Marin, L., Sumner, M., Muñoz-Carpintero, D., Köbrich, D., Pholboon, S., Sáez, D., Núñez, A. “Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control”, Energies, 12, 4453, 2019.
  27. Palma-Behnke, R., Jiménez, G., Sáez, D., Montedonico, M., Mendoza, P., Hernández, R., Muñoz, C. “Lowering electricity access barriers by means of participative processes applied to microgrid solutions: The Chilean case”, in Proceedings of the IEEE, vol. 107, no. 9, pp. 1857-1871, Sept. 2019
  28. Llanos, J., Olivares, D., Simpson-Porco, J., Kazerani, M., Sáez, D. “A Novel Distributed Control Strategy for Optimal Dispatch of Isolated Microgrids Considering Congestion”, IEEE Transactions on Smart Grid, Vol. 10, Issue 6, pp. 6595-6606, 2019.
  29. Marín, L., Cruz, N., Sáez, D., Sumner, M., Núñez, A. “Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks”, Expert Systems with Applications, Vol. 119, pp. 128-141, 2019.
  30. Burgos-Mellado, C., Costabeber, A., Sumner, M., Cardenas, R., Sáez, D., «Small-Signal Modelling and Stability Assessment of Phase-Locked Loops in Weak Grids», Energies, Vol. 12, no. 7, pp. 1996-1073, 2019.
  31. Burgos-Mellado, C., Cárdenas, R., Sáez, D., Costabeber, A., Sumner, M. “A Control Algorithm Based on the Conservative Power Theory for Cooperative Sharing of Imbalances in 4-Wire Systems”, IEEE Transactions on Power Electronics, vol. 34, no. 6, pp. 5325-5339, 2019.
  32. Santis, P., Sáez, D., Cárdenas, R., Nuñez, A., «Pareto-Based Modulated-Model-Predictive Control Strategy for Power Converter Applications», Electric Power System Research, Elsevier, Vol. 171, pp. 158-174, 2019.
  33. Gutiérrez, L., Muñoz-Carpintero, D., Valencia, F., Sáez, D. “A New Method for Identification of Fuzzy Models with Controllability Constraints,” Applied Soft Computing, Vol. 73, pp. 254-262, 2019. 
  34. Jaramillo, F., Orchard, M., Muñoz, C., Antileo, C., Sáez, D., Espinoza, P., “On-line estimation of the aerobic phase length for partial nitrification processes in SBR based on features extraction and SVM classification,” Chemical Engineering Journal, Vol. 331, pp. 114-123, 2018.
  35. Donoso, F., Cárdenas, R., Mora, A., Angulo, A., Sáez, D., Rivera, M., “Finite-Set Model Predictive Control Strategies for a 3L-NPC Inverter Operating with Fixed Switching Frequency”. IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 3954-3965, 2018.
  36. Bayas, A., Skrjanc, I., Sáez, D., “Design of Fuzzy Robust Control Strategies for a Distributed Solar Collector Field,” Applied Soft Computing, Vol. 71, pp. 1009-1019, 2018. Doi: 10.1016/j.asoc.2017.10.003
  37. Burgos, C., Hernández, C., Cárdenas, R., Sáez, D., Sumner, M., Costabeber, A. and Morales, H., “Experimental Evaluation of a CPT-Based 4-Leg Active Power Compensator for Distribution Generation,” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 5, No. 2, pp. 747-759, June 2017. 
  38. Llanos, J., Morales, R., Núñez, A., Sáez, D., Lacalle, M., Marín, L., Hernández, R., and Lanas, F., «Load Estimation for Microgrid Planning based on a Self-Organizing Map Methodology,» Applied Soft Computing, Vol. 53, pp. 323-335, April 2017. Doi: 10.1016/j.asoc.2016.12.054. 
  39. Roje, T., Marín, L., Sáez, D., Orchard, M., and Jiménez, G., «Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids», International Journal of Energy Research, Vol. 41, pp. 365-376, March 2017. Doi: 10.1002/er.3607. 
  40. Cortés, C., Rey, P., and Sáez, D., «Selected papers from the eighth Triennial Symposium on Transportation Analysis (TRISTAN VIII): Special Issue on Advances in transportation and logistics», Editorial in Transportation Research Part C, Vol. 70, pp. 98-99, Sept. 2016. 
  41. Tarisciotti, L., Lo Calzo, G., Gaeta, A., Zanchetta, P., Valencia, F., Sáez, D., «A Distributed Model Predictive Control Strategy for Back-to-Back Converters», IEEE Transactions on Industrial Electronics, Vol. 63, No. 9, pp. 5867-5878, Sept. 2016. doi: 10.1109/TIE.2016.2527693.
  42. Ponce, C., Sáez, D., Bordons, C., and Núñez, A., “Dynamic simulator and model predictive control of an integrated solar combined cycle plant”, Energy, Vol. 109, pp. 974-986. August 2016. Doi: 10.1016/j.energy.2016.04.129. 
  43. Valencia, F., Collado, J., Sáez, D., Marín, L., «Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model», IEEE Transactions on Smart Grid, Vol. 7, No. 3, pp. 1486-1494, May 2016. Doi: 10.1109/TSG.2015.2463079. 
  44. Ahumada, C., Cárdenas, R., Sáez, D., Guerrero, J., «Secondary Control Strategies for Frequency Restoration in Islanded Microgrids with Consideration of Communication Delays», IEEE Transactions on Smart Grid, Vol. 7, No. 3, pp. 1430-1441, May 2016. Doi: 10.1109/TSG.2015.2461190. 
  45. Burgos, C., Orchard, M., Kazerani, M., Cárdenas, R., and Sáez, D., “Particle-Filtering-Based Estimation of Maximum Available Power State in Lithium-Ion Batteries”, Applied Energy, Vol. 161, pp. 349-363, January 2016. 
  46. Valencia, F., Sáez, D., Collado, J., Ávila, F., Marquez, A., Espinosa, J., «Robust Energy Management System Based on Interval Fuzzy Models», IEEE Transactions on Control Systems Technology, Vol. 24, No. 1, pp. 140–157, January 2016. Doi: 10.1109/TCST.2015.2421334. 
  47. Muñoz, D., Sáez, D., Cortés, C.E., Núñez, A., «A methodology based on evolutionary algorithms to solve dynamic pickup and delivery problem under hybrid predictive control approach». Transportation Science, Vol. 49, No. 2, pp. 239–253, May 2015. 
  48. Sáez, D., Avila, F., Olivares, D., Cañizares, C., Marin, L. “Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids”, IEEE Transactions on Smart Grid, Vol. 6, No. 2, pp. 548-556, March 2015. Doi: 10.1109/TSG.2014.2377178. 
  49. Burgos, C., Sáez, D., Orchard, M., Cárdenas, R. «Fuzzy modelling for the state-of-charge estimation of lead-acid batteries», Journal of Power Sources, Vol. 274, pp. 355-366, January 2015. 
  50. Núñez, A., Cortés, C.E., Sáez, D., De Schutter, B., and Gendreau, M., “Multiobjective model predictive control for dynamic pickup and delivery problems”. Control Engineering Practice, Vol. 32, pp. 73-86, November 2014. 
  51. Ponce, C., Sáez, D.,  Núñez, A. “Fuzzy predictive control strategy for a distributed solar collector plant”. IEEE Latin America Transactions, 2014.
  52. Núñez, A.,  De Schutter, B., Sáez, D.,  Škrjanc, I., “Hybrid-Fuzzy Modeling and Identification”. Applied Soft Computing, Vol. 17, pp. 67-78, April 2014. 
  53. Muñoz, J. C., Cortés, C., Giesen, R., Sáez, D., Delgado, F., Valencia, F., and Cipriano,  A., “Comparison of Dynamic Control Strategies for Transit Operations”, Transportation Research Part C: Emerging Technologies, Vol. 28, pp. 101–113, 2013. 
  54. Palma-Behnke, R., Benavides, C., Lanas, F., Severino, B., Reyes, L., Llanos, J., Sáez, D. “A Microgrid Energy Management System Based on the Rolling Horizon Strategy”, IEEE Transactions on Smart Grid, Vol. 4, no. 2, pp. 996-1006, 2013. 
  55. Matus, M., Sáez, D., Favley, M., Suazo, C., Moya, J., Jimenez-Estevez, G., Palma-Behnke, R., Olguin, G., Jorquera, P., «Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating», IEEE Transactions on Power Delivery, Vol. 27, No. 2, pp. 1002-1009, 2012. 
  56. Milla, F. , Sáez, D., Cortés, C.E., Cipriano, A., “Bus-stop Control Strategies Based on Fuzzy Rules for the Operation of a Public Transport System”, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, No. 3, pp. 1394-1403, September 2012. 
  57. Sáez, D., Cortés, C.E., Riquelme, M., Núñez, A., Milla F., Tirachini, A. “Hybrid Predictive Control Strategy for a Public Transport System with Uncertain Demand”. Transportmetrica, Vol. 8, No. 1, pp. 61-86, 2012. 
  58. Cortés, C.E., Sáez, D., Milla, F., Núñez, A., Riquelme, M. “Hybrid Predictive Control for Real-Time Optimization of Public Transport System’ Operations Based on Evolutionary Multiobjective Optimization”. Transportation Research Part C: Emerging Technologies, Vol. 18, No. 5, pp. 757-769, October 2010. Doi: 10.1016/j.trc.2009.05.016. 
  59. Cortés, C.E., Sáez, D., Núñez, A., Muñoz, D. “Hybrid Adaptive Predictive Control for a Dynamic Pick-up and Delivery Problem”. Transportation Science, Vol. 43, pp. 27-42, February 2009. Doi: 10.1287/trsc.1080.0251. 
  60. Núñez, A., Sáez, D., Oblak, S., Škrjanc, I. “Fuzzy-Model-Based Hybrid Predictive Control”. ISA Transactions, Vol. 48, No. 1, pp. 24-31, January 2009. Doi: 10.1016/j.isatra.2008.10.007. 
  61. Causa, J., Karer, G., Núñez, A., Sáez, D., Škrjanc, I., Zupančič, B. “Hybrid Fuzzy Predictive Control Based on Genetic Algorithm for the Temperature Control of a Batch Reactor”. Computer & Chemical Engineering, Vol. 32, No. 12, pp. 3254-3263, December 2008. Doi: 10.1016/j.compchemeng.2008.05.014. 
  62. Sáez, D., Cortés, C.E., Núñez, A. “Hybrid Adaptive Predictive Control for the Multi-vehicle Dynamic Pick-up and Delivery Problem Based on Genetic Algorithms and Fuzzy Clustering”. Computers & Operations Research, Vol. 35, No. 11, pp. 3412-3438, November 2008. Doi: 10.1016/j.cor.2007.01.025. 
  63. Sáez, D., Berenguel, M., “Applications on Hybrid Predictive Control”, International Journal of Adaptive Control and Signal Processing, Vol. 22, No. 2, pp. 101-102, 2008. Editora del Special “Applications on Hybrid Predictive Control”, International Journal of Adaptive Control and Signal Processing. P
  64. Cortés, C.E., Sáez, D., Núñez, A. “Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem including Traffic Congestion”. International Journal of Adaptive Control and Signal Processing, Vol. 22, No. 2, pp. 103-123, March 2008. Doi: 10.1002/acs.1005. 
  65. Sáez, D., Zúñiga, R., Cipriano, A. “Adaptive Hybrid Predictive Control for a Combined Cycle Power Plant Optimization” International Journal of Adaptive Control and Signal Processing, Vol. 22, No. 2, pp. 198-220, 2008. 
  66. Sáez, D., Milla, F., Vargas L. “Fuzzy Predictive Supervisory Control Based on Genetic Algorithms for Gas Turbines of Combined Cycle Power Plants. IEEE Transaction on Energy Conversion, Vol. 22, No. 3, pp. 689- 696, 2007. 
  67. Sáez, D., Ordys, A., Grimble, J. “Design of a Supervisory Predictive Controller and its Applications to Thermal Power Plants”, Optimal Control Applications and Methods, Wiley Journal, Vol. 26, No. 4, pp. 169-198, 2005. 
  68. Corona, A., Sáez, D., Agosín, E. “Effect of Water Activity on Gibberellic Acid Production by Gibberella Fujikuroi Under Solid State Fermentation Conditions”. Process Biochemistry, Vol. 40, No. 8 , pp. 2655-2658, 2005. 
  69. Flores, A., Sáez, D., Araya, J., Berenguel, M., Cipriano, A. “Fuzzy Predictive Control of a Solar Power Plant”. IEEE Transactions on Fuzzy Systems, Vol. 13, No. 1, pp. 58-68, 2005.
  70. Hernández, S., Sáez, D., Mery, D. “Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings”. Lecture Notes in Computer Science, LNCS 3212 pp. 826-833, 2004, ISSN 0302-9743, ISBN 3-540-23240-0.

  71. Sáez, D., Cipriano, A. “A New Method for Structure Identification of Fuzzy Models and its Application to a Combined Cycle Power Plant”. Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 9, No. 2, pp. 101-107, 2001.

Other Journals

  1. Labra Mocaquer, R., Basáez, C., Sáez, D. & Rodríguez-Seeger, C. (2023). Conexión natural desde metodologías de co-diseño de cultivo vegetal tecnológico indígena. Revista EstuDAv Estudios Avanzados, Núm. 39.
  2. Céspedes, S., Daniele, L., Sáez, D. & Bustos, J. (2022). Open Water: Sistema abierto experto para apoyar la gestión de recursos hídricos mediante monitoreo de bajo costo en tiempo real de aguas superficiales y subterráneas. Revista Bits de Ciencia, Núm. 23, pág. 34-41.
  3. Vargas C., Morales, R., Sáez D. et al. (2019) Methodology for Microgrid/Smart Farm Systems: Case of Study Applied to Indigenous Mapuche Communities. In: Corrales J., Angelov P., Iglesias J. (eds) Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II. AACC 2018. Advances in Intelligent Systems and Computing, vol 893. Springer, Cham.https://doi.org/10.1007/978-3-030-04447-3_6
  4. 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. DOI: 10.36615/sotls.v5i1.154.

Conferences

  1. D. Sáez. «Energy and Water Management Systems for Agro-development of Rural Communities», International Conference on Renewable Energy (REN-2023), October 23-25, 2023, Paris, France.
  2. J. Rojas, C. Ahumada, Y. Arias, R. Cárdenas, D. Sáez. «Feed-Forward compensation for the Reduction Vibrations in Ship’s Generators», 2023 IEEE Energy Conversion Congress and Exposition (ECCE), October 29-November 2, 2023, Nashville, TN, USA.
  3. C. Muñoz, J. Huircan, D. Sáez, R. Medina, O. Poblete, O. Villagra, B. Cartes, J. Silva, M. Alegría. «Participatory Development in Indigenous Rural Schools for Adopting IoT in Agrifood», CAFE 2023, 2023 IEEE Conference on AgriFood Electronics, September 25-27, 2023, Torino, Italy.
  4. L. Rojas, J. Ocaranza, O. Cartagena, D. Sáez, L. Daniele and C. Ahumada, «Robust Energy-Water Management System with Prediction Interval Based on Deep Learning,» 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-9, doi: 10.1109/IJCNN54540.2023.10191862.
  5. C. Ahumada, L. Tarisciotti, D. Sepúlveda and D. Sáez, «Model Predictive Control for the Reduction of Marine Propellers Vibrations,» 2022 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2022, pp. 1-8, doi: 10.1109/ECCE50734.2022.9947717.
  6. Bustos, R., Marin, L., Navas, A., Sáez, D., Jiménez, G. “Demand Side Management for Microgrids based on Fuzzy Prediction Intervals”, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), July 18-23, 2022, Padua, Italy.
  7. A. Endo, O. Cartagena, J. Ocaranza, D. Sáez, C. Muñoz. “Fuzzy and Neural Prediction Intervals for Robust Control of a Greenhouse”, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), July 18-23, 2022, Padua, Italy.
  8. M. Nova, D. Muñoz-Carpintero and D. Sáez, «Fuzzy Model Predictive Control for Takagi & Sugeno Systems with Optimised Prediction Dynamics,» 2022 European Control Conference (ECC), London, United Kingdom, 2022, pp. 1790-1796, doi: 10.23919/ECC55457.2022.9838066.
  9. A. Navas-Fonseca, C. Burgos-Mellado, J. Gomez, J. Llanos, E. Espina, D. Sáez, M. Sumner, “Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation,” 47th Annual Conference of the IEEE Industrial Electronics Society (IECON), Toronto, Canada, 2021.
  10. Espina, E, Cárdenas, R., Sáez, D., Mehrdad, K., Simpson-Porco, J., Navas, A., Gómez, J., “Experimental Performance Evaluation of a Distributed Secondary Control Strategy for Hybrid ac/dc-Microgrids in the event of Communication Loss/Delay”, 23rd European Conference on Power Electronics and Applications, 2021. Accepted
  11. Navas, A., Burgos, C., Espina, E., Rute, E., Sáez, D., Sumner, M., «Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids,» 2021 IEEE Fourth International Conference on DC Microgrids (ICDCM), 2021, pp. 1-6, doi: 10.1109/ICDCM50975.2021.9504612.
  12. Labra, R, Basáez, C., Sáez, D. & Rodríguez, C. “Conexión natural desde metodologías de Co-diseño de cultivo vegetal tecnológico indígena”. Arts imagining communities to come. Cumulus conference proceedings Guayaquil. Cumulus Association of Universities and Colleges of Art, Design and Media, 8-11 November, 2021.
  13. Espina, E., Burgos, C., Gómez, J. S., Llanos, J., Rute, E., Navas, A., Martínez, M., Sáez, D., Cárdenas, R., (2020). “Experimental Hybrid ac/dc-Microgrid Prototype for Laboratory Research”. In:2020 22st European Conference on Power Electronics and Applications (EPE’20 ECCE Europe).
  14. Muñoz-Carpintero, D., Parra, S., Cartagena, O., Sáez, D., Marin, L., Skrjanc, I. “Fuzzy Interval Modelling based on Joint Supervision”, IEEE International Conference on Fuzzy Systems, WCCI 2020, Glasgow, UK, 19-24 July 2020.
  15. Endo, A., Cartagena, O., Sáez, D., Muñoz-Carpintero, D., “Predictive Control based on Fuzzy Optimization for Multi-Room HVAC Systems”, IEEE International Conference on Fuzzy Systems, WCCI 2020, Glasgow, UK, 19-24 July 2020.
  16. Pekaslan, D., Wagner, C., Garibaldi, J. M., Marin L. G., Sáez, D., «Uncertainty-Aware Forecasting of Renewable Energy Sources,» 2020 IEEE International Conference on Big Data and Smart Computing (BigComp), Busan, Korea (South), 2020, pp. 240-246, doi: 10.1109/BigComp48618.2020.00-68.
  17. Llanos, J., Gómez, J., Sáez, D., Olivares, D. Simpson-Porco, J., “Economic Dispatch by Secondary Distributed Control in Microgrids “, EPE’19 ECCE Europe 21st European Conference on Power Electronics and Applications, Genova, Italy, September 2-6, 2019.
  18. Cruz, N., Marin, L. Sáez D., “Prediction Intervals with LSTM Networks Trained by Joint Supervision”, International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungry, July 14-19, 2019.
  19. Cruz, N., Marín, L., Sáez, D., “Neural Network Prediction Interval based on Joint Supervision”. IEEE International Joint Conference on Neural Networks, WCCI 2018, Rio de Janeiro, Brazil, 8-13 July 2018.
  20. Cartagena, O., Muñoz-Carpintero, D., Sáez, D., “A Robust Predictive Control Strategy for Building HVAC Systems Based on Interval Fuzzy Models”, IEEE International Conference on Fuzzy Systems, WCCI 2018, Rio de Janeiro, Brazil, 8-13 July 2018.
  21. Caquilpan, V., Sáez, D., Hernández, R., Llanos, J., Roje, T., Nuñez, A. “Load Estimation Based on Self-Organizing Maps and Bayesian Networks for the Microgrids Design in Rural Zones”, IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2017, Quito, Ecuador, September 20-22, 2017.
  22. Morales, R., Sáez, D., Marin, L., Nuñez, A., “Microgrid Planning based on Fuzzy Interval Models of Renewable Resources”, IEEE International Conference on Fuzzy Systems, WCCI 2016, Vancouver, Canada, July 24-29, 2016.
  23. Andonovski, G., Bayas, Sáez, D., Skrjanc, I., “Robust Evolving Cloud-based Control for the Distributed Solar Collector Field”, IEEE International Conference on Fuzzy Systems, WCCI 2016, Vancouver, Canada, July 24-29, 2016.
  24. Marin, L., Valencia, F., Sáez, D., “Prediction Interval based on type-2 Fuzzy Systems for Wind Power Generation and Loads in Microgrid Control Design”, IEEE International Conference on Fuzzy Systems, WCCI 2016, Vancouver, Canada, July 24-29, 2016.
  25. Cortés, C., Sáez D., Valencia, F., Clavería, R., Milla, F. “Distributed fuzzy control applied to a two-line transit system with transfers” LAND-TRANSLOG, Joint Workshop on Location and Network Design – Transportation and Logistics, Santa Cruz, Chile, March 13-17, 2016.
  26. Veltman F., Marin L., Sáez D., Núñez, A., Gutiérrez, L., “Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids”, 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 8-10, 2015.
  27. Ávila, F., Cañizares, C., Sáez, D., and Valencia, F., “Load Modelling Using Affine Arithmetic for Demand Side Management”, IEEE/PES Innovative Smart Grid Technologies Latin America, Montevideo, Uruguay, October 5-7, 2015
  28. Morales, R., Valencia, F., Sáez, D., Lacalle, M., “Supervisory Fuzzy Predictive Control for a Concentrated Solar Power Plant”, 19th IFAC World Congress, Cape Town, South Africa, August 24-29, 2014.
  29. Gutiérrez, L., Valencia, F., Sáez, D., “New Fuzzy Model with Second Order Terms for the Design of a Predictive Control Strategy”, 2014 IEEE International Conference on Fuzzy Systems, WCCI 2014, Beijing, China, July 6-11, 2014.
  30. Avila, F., Sáez, D., Jiménez-Estévez, G., Reyes L., Núñez, A. “Fuzzy Demand Forecasting in a Predictive Control Strategy for a Renewable-energy based Microgrid”, Proceedings of the European Control Conference ECC 2013, Zurich, Switzerland, July 17-19, 2013.
  31. Vargas-Serrano, A., Sáez, D., Reyes, L., Severino, B., Palma-Behnke, R., Cárdenas-Dobson, R., “Design and Experimental Validation of a Dual Mode VSI Control System for a Micro-grid with Multiple Generators”, Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, October 24-28, 2012.
  32. Bustos, G., Vargas, L., Milla, F., Sáez, D., Zareipou, H., “Comparison of Fixed Speed Wind Turbines Models: A Case Study”, Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, October 24-28, 2012.
  33. Llanos, J., Sáez, D., Palma-Behnke, R., Núñez, A., Jiménez-Estévez, G. “Load Profile Generator and Load Forecasting for a Renewable Based Microgrid Using Self Organizing Maps and Neural Networks”, 2012 International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.
  34. Núñez, A., Sáez, D., Škrjanc, I., De Schutter, B., “A New Method for Hybrid-fuzzy identification”, Proceedings of the 18th IFAC World Congress, Milano, Italy, August 28 – September 2, 2011.
  35. Núñez, A., Sáez, D., Cortés, CE., Gendreau, M., De Schutter, B., “Multiobjective model predictive control applied to a dial-a-ride system”, Proceedings of the 90th Annual Meeting of the Transportation Research Board, Washington, USA, January 23-27, 2011.
  36. Palma-Behnke R., Benavides C., Aranda E., Llanos J., Sáez D. “Energy Management System for a Renewable based Microgrid with a Demand Side Management Mechanism”, IEEE Symposium Series on Computational Intelligence – SSCI 2011, Paris, France, April 11-15, 2011.
  37. Muñoz-Carpintero, D., Sáez, D., Skrjanc, I. “Hybrid Predictive Control Design with Mixed Inputs based on PSO and its Application for Control of a Batch Reactor”, IEEE WCCI2010, IEEE Congress on Evolutionary Computation, Barcelona, July 20-25, 2010.
  38. Muñoz-Carpintero, D., Núñez, A., Sáez, D., Cortés, C.E. “Evolutionary Algorithms and Fuzzy Clustering for Control of a Dynamic Vehicle Routing Problem Oriented to User Policy”, IEEE WCCI2010, IEEE Congress on Evolutionary Computation, Barcelona, July 20-25, 2010.
  39. Muñoz, J., Giesen, R., Delgado, F., Cipriano, A., Cortés, C.E., Sáez, D., Valencia, F. “Comparison of control strategies for real-time optimization of public transport systems”, Triennial Symposium on Transportation Analysis (TRISTAN 2010), Tromso, Norway, June 20-25, 2010.
  40. Núñez, A., Cortés, C., Sáez, D., Gendreau, M. “Multiobjective Hybrid Predictive Control Applied to a Dial‐A‐Ride System”. TRANSLOG, Transportation and Logistics Workshop, December 8-11, 2009.
  41. Milla, F., Sáez, D., Vargas, L. “Combined Cycle Power Plant Optimization Based on Supervisory Predictive Controllers”, European Control Conference ECC 2009, Budapest, Hungary, August 23-26, 2009.
  42. Otarola, G., Cortés, C.E., Sáez, D. “Hybrid Predictive Control Based on Traffic Signal Priority for Public Transport Systems”, European Control Conference ECC 2009, Budapest, Hungary, August 23-26, 2009.
  43. Sáez, D., Cortés, C.E., Pillajo, A. “Real-time Control Strategies for a Public Transport System based on Fleet Assignment Operational Schemes”, Fourth International Workshop on Freight Transportation and Logistics, Odysseus 2009, Çeşme, İzmir, Turquía, May 26-29, 2009.
  44. Cortés, C.E., Sáez, D., Núñez, A., Gendreau, M. “Hybrid Predictive Control for the Dynamic Pick-up and Delivery Problem with Variable Fleet Size based on an Evolutionary Multiobjective Optimization Approach (EMO)”. International Federation of Operational Research Societies Conference, IFORS 2008, Sandton, South Africa, July 13-18, 2008.
  45. Causa, J., Karer, G., Núñez, A., Sáez, D., Skrjanc, I., Zupancic, B. “Hybrid Fuzzy Predictive Control of a Batch Reactor using Branch and >Bound and a Genetic Algorithm Approach”, 17th IFAC World Congress, Seoul, Korea, pp. 8381-8386, July 6-11, 2008.
  46. Núñez, A., Sáez, D., Cortés, C.E. “Hybrid Predictive Control for the Vehicle Dynamic Routing Problem based on Evolutionary Multiobjective Optimization (EMO)”. 17th IFAC World Congress, Seoul, Korea, pp. 13085-13090, July 6-11, 2008.
  47. Torres, P, Sáez, D. “Type-2 Fuzzy Logic Identification Applied to the Modeling of a Robot Hand”, 2008 IEEE World Congress on Computational Intelligence (WCCI2008), Hong Kong, China, pp. 854-861, June 1-6, 2008. Seleccionado para Best Student Paper de la conferencia.
  48. Medina, P., Sáez, D., Roman, R. “On Line Fault Detection and Isolation in Gas Turbines Combustion Chambers”, ASME Turbo Expo 2008: Power for Land, Sea and Air, Berlin, Germany, June 9-13, 2008.
  49. Sáez, D., Cortes, C., Núñez, A., Riquelme, M., Milla, F., Otarola, G. “Hybrid Predictive Control for Real-Time Optimization of Public Transport Systems’ Operations”. Bus Rapid Transit International Workshop, Santiago, Chile, August 26-29, 2008.
  50. Núñez, A., Cortés, C.E., Sáez, D., Riquelme, M., “Hybrid Predictive Control for Real-time Optimization of Public Transport System’ Operations based on Evolutionary Multiobjective Optimization”. 10th International Conference on Application of Advanced Technologies in Transportation, Greece, pp. 2326-2331, May 27-31, 2008.
  51. Sáez, D., Núñez, A., Oblak, S., Skrjanc, I. “Hybrid Fuzzy Predictive Control based on Evolutionary Multiobjective Optimization”. Eurosim 2007, Ljubljana, Slovenia. September 9-13, 2007.
  52. Sáez, D., Milla, F., Ordys, A. “Hybrid Predictive Supervisory Control Based on Genetic Algorithms for a Gas Turbine of Combined Cycle Power Plants” European Control Conference 2007, Kos, Greece, July 2-5, 2007.
  53. Cortés, C.E., Sáez, D., Sáez, E., Núñez, A., Tirachini, A. “Hybrid Predictive Control Strategy for a Public Transport System with Uncertain Demand”, Sixth Triennial Symposium on Transportation Analysis TRISTAN 2007, Phuket Island, Thailand, June 10-15, 2007.
  54. Sáez, D., Uribe, R. “Methodological Innovation in Electrical Engineering Department Control Systems Course”, 3rd International CDIO Conference, MIT, Cambridge, Massachusetts, June 11-14, 2007.
  55. Sáez, D., Ordys, A. “Comparison of Optimal Control Strategies for Supervisory and Regulatory Level”, International Conference Control 2006 Glasgow, Scotland, 30th August to 1st September, Nº 249, 6 pages, 2006.
  56. Núñez, A., Oblak, S., Sáez, D., Skjranc, I. “Hybrid Predictive Control based on Fuzzy Model”. 2006 IEEE World Congress on Computational Intelligence, International Conference on Fuzzy Systems Vancouver, Canada, pp. 9079-9085, July 16-21, 2006.
  57. Solis, J., Sáez, D., Estévez, P. “Particle Swarm Optimization-based Fuzzy Predictive Control Strategy”. 2006 IEEE World Congress on Computational Intelligence, International Conference on Fuzzy Systems Vancouver, Canada, pp. 8525- 8530, July 16-21, 2006.
  58. Chacón, G., Ruiz del Solar, J., Sáez, D. “Fuzzy Sliding Mode Control based on Takagi & Sugeno Model Design and its application to a Simulated Robot Hand”, IEEE Latin American Robotics Symposium, Santiago, October 26-27, 2006.
  59. Sáez, D., Zúñiga, R. “Takagi-Sugeno Fuzzy Model Structure Selection based on New Sensitivity Analysis”, 2005 IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2005, Reno, USA, pp. 501-506, May 22-25, 2005.
  60. Hernández, S., Sáez, D., Mery, D., Da Silva, R., Siqueira, M. “Automated Defect Detection in aluminium Castings and Welds using Neuro-fuzzy Classifiers”. Proceedings of 16th World Conference on Non-Destructive Testing (WCNDT 2004), Montreal, August 30 – September 03, 2004.
  61. Alayón, M., Sáez, D., Veiga, R. “Comparative Analysis of Neural Predictive Controllers and Its Application to a Laboratory Tank System”. International Joint Conference on Neural Networks IJCNN2004, Budapest, Hungary, July 25-29, 2004.
  62. Sáez, D., Zúñiga, R. “Cluster Optimization for Takagi & Sugeno Fuzzy Models and Its Application to a Combined Cycle Power Plant Boiler”, American Control Conference, ACC’ 2004, Boston, USA, June 30 – July 2, 2004.
  63. Sáez, D., Kemerer, E. “Fuzzy Predictive Strategies and its Application to a Laboratory Tank”. Proceedings of the European Control Conference, ECC’ 2003, University of Cambridge, UK, pp. 1716-1781, September 1-4, 2003.
  64. Alayon, M., Sáez, D., Veiga, R. “Analysis and Design of Control Strategies based on Neural Networks”. Proceedings of the IASTED International Conference Intelligent Systems and Control, ISC 2003. Salzburg, Austria, pp. 212-217, June 25-27, 2003.
  65. Binstock, M., Sáez, D., Aignstein, M. “Trajectory Control based on Fuzzy Logic for a Robotic Manipulator”. Proceedings of the IASTED International Conference Intelligent Systems and Control, ISC 2003, Salzburg, Austria, pp. 168-173, June 25-27, 2003.
  66. Sáez, D., Cipriano, A. “Design of a Supervisory Predictive Controller based on Fuzzy Models”. Proceedings of the 10th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE’2001, Melbourne, Australia, December 2-5, 2001.
  67. Sáez, D., Cipriano, A. “Fuzzy Models based Economic Predictive Control for a Combined Cycle Power Plant Boiler”. Proceedings of the 1999 IEEE International Symposium on Intelligent Control, Intelligent Systems & Semiotics, ISIC’99, Cambridge, USA, pp. 417-422, September 15-17, 1999.
  68. Sáez, D., Cipriano, A. “Economic Optimal Control for a Combined Cycle Power Plant Boiler”. Proceedings of the European Control Conference, ECC’99, Karlsruhe, Germany, August 31- September 3, 1999.
  69. Sáez, D., Cipriano, A. “Fuzzy Modeling of a Combined Cycle Power Plant”. Proceedings of the 8th International Conference on Fuzzy Systems, FUZZ-IEEE’99, Seoul, Korea, pp. 1186-1190, August 22-25, 1999.
  70. Sáez, D., Cipriano, A. “Economical Optimal Control with Environmental Constraints for Combined Cycle Power Plants”. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society, IECON’98, Aachen, Germany, pp. 640-645, August 31 – September 4, 1998.
  71. Sáez, D., Sanz, M., Cipriano, A. “Prediction of the Evolution of Water Chemical Properties in the Cycle of a Coal Power Plant using Artificial Neural Networks”. Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN’98, Anchorage, Alaska, USA, pp. 1981-1986, May 5-8, 1998.
  72. Sáez, D., Cipriano, A. “Fuzzy Linear Quadratic Regulator Applied to the Real-time Control of an Inverted Pendulum”. Proceedings of the 5th IFAC Workshop on Algorithms and Architectures for Real-Time Control, Cancun, Mexico, pp. 185-190, April 15-17, 1998.
  73. Sáez, D., Cipriano, A. “Design of Fuzzy Model based Predictive Controllers and its Application to an Inverted Pendulum”. Proceedings of the Sixth IEEE International Conference on Fuzzy Systems, FUZZ-IEEE’97, Barcelona, pp. 915-919, July 1-5, 1997.
  74. Cipriano, A., Sáez, D. “Fuzzy Generalized Predictive Control and its Application to an Inverted Pendulum”. Proceedings of the 22nd Annual International Conference on Industrial Electronics, Control and Instrumentation, IECON’96, Taipei, Taiwan, pp. 1966-1971, August 5-10, 1996.
  75. Cipriano, A., Sáez, D., Ramos, M. “Fuzzy Control on a Laboratory Environment”, IEEE International Symposium on Industrial Electronics, ISIE’95, Athens, July 10-14, 1995.