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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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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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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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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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Creating extreme weather time series through a quantile regression ensemble

Environmental modelling & software : with environment data news, 2018-12, Vol.110, p.28-37

2018

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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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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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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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Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-7

2010

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IEEE_Xplore

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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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

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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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

Synesthesia Vision integration with Recife's Public Transport

Proceedings of the 16th International Web for All Conference, 2019, p.1-2

2019

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Comparing evolutionary methods for reservoir computing pre-training

The 2011 International Joint Conference on Neural Networks, 2011, p.283-290

2011

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IEEE_Xplore

Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting

Artificial Neural Networks – ICANN 2007, p.738-747

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Genetic algorithm for reservoir computing optimization

2009 International Joint Conference on Neural Networks, 2009, p.811-815

2009

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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

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

Assessment of power curves in models of wind power forecasting

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.3915-3922

2016

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IEEE_Xplore

Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting

Artificial Neural Networks – ICANN 2007, p.779-788

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Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network

Artificial Neural Networks – ICANN 2007, p.455-464

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

An approach to reservoir computing design and training

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

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

Creating extreme weather time series through a quantile regression ensemble

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

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

Recommendations of the Working Groups from the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC) for the management of adult critically ill patients in the coronavirus disease (COVID-19)

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

Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks

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

Improving reservoir based wind power forecasting with ensembles

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

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

Synesthesia Vision integration with Recife's Public Transport

Comparing evolutionary methods for reservoir computing pre-training

Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting

Genetic algorithm for reservoir computing optimization

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

Piecewise Aggregate Approximation and Quantile Regression for Wind Speed Analysis

Assessment of power curves in models of wind power forecasting

Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting

Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network

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