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An emotional discrete controller PSO tuned and designed for a real industrial pumping system

Scientific reports, 2022-03, Vol.12 (1), p.4292-4292, Article 4292

2022

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Author Correction: An emotional discrete controller PSO tuned and designed for a real industrial pumping system

Scientific reports, 2022-04, Vol.12 (1), p.6651-6651, Article 6651

2022

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Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Energies (Basel), 2023-08, Vol.16 (16), p.6017

2023

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Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models

Energies (Basel), 2024-04, Vol.17 (7), p.1729

2024

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Application of Augmented Echo State Networks and Genetic Algorithm to Improve Short-Term Wind Speed Forecasting

Energies (Basel), 2023-03, Vol.16 (6), p.2635

2023

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An approach to reservoir computing design and training

Expert systems with applications, 2013-08, Vol.40 (10), p.4172-4182

2013

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Power Curve Modelling for Wind Turbine Using Artificial Intelligence Tools and Pre-established Inference Criteria

Journal of modern power systems and clean energy, 2021-05, Vol.9 (3), p.526-533

2021

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A proposal for analysis of operating reserve requirements considering renewable sources on supergrids

Electrical engineering, 2021-02, Vol.103 (1), p.529-540

2021

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SAX-quantile based multiresolution approach for finding heatwave events in summer temperature time series

Ai communications, 2016-01, Vol.29 (6), p.725-732

2016

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Thermography and artificial intelligence in transformer fault detection

Electrical engineering, 2018-09, Vol.100 (3), p.1317-1325

2018

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Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System

Artificial Neural Networks – ICANN 2006, 2006, p.757-766

2006

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Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses

Artificial Neural Networks: Biological Inspirations – ICANN 2005, 2005, p.635-640

2005

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Development of a Hybrid Intelligent System for Electrical Load Forecasting

Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 2006, p.228-237

2006

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Piecewise Aggregate Approximation and Quantile Regression for Wind Speed Analysis

2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017, p.1497-1500

2017

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IEEE_Xplore

Localization and diagnosis of stay rod of V guyed towers corrosion

2014 ICHVE International Conference on High Voltage Engineering and Application, 2014, p.1-5

2014

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Adaptive Piecewise and Symbolic Aggregate Approximation as an Improved Representation Method for Heat Waves Detection

Intelligent Computing, 2018, Vol.858, p.658-671

2018

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Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

2015

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IEEE_Xplore

Improving reservoir based wind power forecasting with ensembles

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, p.946-952

2014

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IEEE_Xplore

Design of a complex impedance matching circuit in microstrip used to detect corrosion in anchor rods

2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2015, p.1-5

2015

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IEEE_Xplore

A PLC-Based PI and Pi-Fuzzy Logic Controller for an Industrial Fan System

2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013, p.1957-1962

2013

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IEEE_Xplore

Recurrent neural networks solving a real large scale mid-term scheduling for power plants

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-6

2010

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IEEE_Xplore

Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method

Engineering Applications of Neural Networks, p.272-281

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A fuzzy system for detection of incipient fault in power transformers based on gas-in-oil analysis

International Conference on Fuzzy Systems, 2010, p.1-6

2010

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IEEE_Xplore

Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1649-1656

2008

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IEEE_Xplore

Influence of Deep Learning on Precision Improvement in Predictive Models of Wind Power Generation

2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017, p.832-835

2017

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IEEE_Xplore

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An emotional discrete controller PSO tuned and designed for a real industrial pumping system

Author Correction: An emotional discrete controller PSO tuned and designed for a real industrial pumping system

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models

Application of Augmented Echo State Networks and Genetic Algorithm to Improve Short-Term Wind Speed Forecasting

An approach to reservoir computing design and training

Power Curve Modelling for Wind Turbine Using Artificial Intelligence Tools and Pre-established Inference Criteria

A proposal for analysis of operating reserve requirements considering renewable sources on supergrids

SAX-quantile based multiresolution approach for finding heatwave events in summer temperature time series

Thermography and artificial intelligence in transformer fault detection

Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System

Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses

Development of a Hybrid Intelligent System for Electrical Load Forecasting

Piecewise Aggregate Approximation and Quantile Regression for Wind Speed Analysis

Localization and diagnosis of stay rod of V guyed towers corrosion

Adaptive Piecewise and Symbolic Aggregate Approximation as an Improved Representation Method for Heat Waves Detection

Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting

Improving reservoir based wind power forecasting with ensembles

Design of a complex impedance matching circuit in microstrip used to detect corrosion in anchor rods

A PLC-Based PI and Pi-Fuzzy Logic Controller for an Industrial Fan System

Recurrent neural networks solving a real large scale mid-term scheduling for power plants

Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method

A fuzzy system for detection of incipient fault in power transformers based on gas-in-oil analysis

Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term

Influence of Deep Learning on Precision Improvement in Predictive Models of Wind Power Generation

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