Alfredo Núñez
Orcid: 0000-0001-5610-6689
According to our database1,
Alfredo Núñez
authored at least 58 papers
between 2006 and 2024.
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Bibliography
2024
Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile.
Expert Syst. Appl., January, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Energy model of a fuel cell hybrid-electric regional train in passenger transport service and vehicle-to-grid applications.
J. Rail Transp. Plan. Manag., December, 2023
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations.
CoRR, 2023
Physics-informed neural networks for solving forward and inverse problems in complex beam systems.
CoRR, 2023
2022
Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways.
IEEE Trans. Intell. Transp. Syst., 2022
Real-Time UAV Routing Strategy for Monitoring and Inspection for Postdisaster Restoration of Distribution Networks.
IEEE Trans. Ind. Informatics, 2022
Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains.
J. Rail Transp. Plan. Manag., 2022
Predicting traction return current in electric railway systems through physics-informed neural networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization.
IEEE Trans. Instrum. Meas., 2021
High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data.
IEEE Trans. Instrum. Meas., 2021
A real-time distributed post-disaster restoration planning strategy for distribution networks.
CoRR, 2021
2020
A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries.
IEEE Trans. Intell. Transp. Syst., 2020
Unified Deep Learning Architecture for the Detection of All Catenary Support Components.
IEEE Access, 2020
2019
Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections.
IEEE Trans. Instrum. Meas., 2019
Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration.
IEEE Trans. Ind. Informatics, 2019
Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks.
Expert Syst. Appl., 2019
Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
An Integrated Approach for Characterizing the Dynamic Behavior of the Wheel-Rail Interaction at Crossings.
IEEE Trans. Instrum. Meas., 2018
Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Evaluating Degradation at Railway Crossings Using Axle Box Acceleration Measurements.
Sensors, 2017
Appl. Soft Comput., 2017
Identification of the catenary structure wavelength using pantograph head acceleration measurements.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
2016
Ensemble EMD-Based Automatic Extraction of the Catenary Structure Wavelength From the Pantograph-Catenary Contact Force.
IEEE Trans. Instrum. Meas., 2016
Model Predictive Control for rail condition-based maintenance: A multilevel approach.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
A Methodology Based on Evolutionary Algorithms to Solve a Dynamic Pickup and Delivery Problem Under a Hybrid Predictive Control Approach.
Transp. Sci., 2015
Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure.
IEEE Trans. Ind. Electron., 2015
Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Model Predictive Control for Maintenance Operations Planning of Railway Infrastructures.
Proceedings of the Computational Logistics - 6th International Conference, 2015
2014
IEEE Trans. Intell. Transp. Syst., 2014
Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
A Multiobjective-Based Switching Topology for Hierarchical Model Predictive Control Applied to a Hydro-Power Valley.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
Proceedings of the 12th European Control Conference, 2013
Fuzzy demand forecasting in a predictive control strategy for a renewable-energy based microgrid.
Proceedings of the 12th European Control Conference, 2013
2012
Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the IEEE International Conference on Control Applications, 2012
2011
Proceedings of the 2011 IEEE International Symposium on Robotic and Sensors Environments, 2011
Decentralized Kalman filter comparison for distributed-parameter systems: A case study for a 1D heat conduction process.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011
2010
Hierarchical multiobjective model predictive control applied to a dynamic pickup and delivery problem.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010
Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Transp. Sci., 2009
2008
Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering.
Comput. Oper. Res., 2008
Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor.
Comput. Chem. Eng., 2008
2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006