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Desenvolvimento de uma metodologia para identificar e quantificar distúrbios da qualidade da energia elétrica

Ando Junior, Oswaldo Hideo (2010)

Reference generator for voltage controlled power conditioners

Universidade Estadual Paulista (Unesp); ABB Brazil; Universidade de São Paulo (USP) (2011-12-28)

Voltage reference generation is an important issue on electronic power conditioners or voltage compensators connected to the electric grid. Several equipments, such as Dynamic Voltage Restorers (DVR), Uninterruptable Power ...

Classification of Power Quality Disturbances using Hilbert Huang Transform and a Multilayer Perceptron Neural Network Model

Rodriguez, Miguel Angel; Sotomonte, John Felipe; Cifuentes, Jenny; Bueno-Lopez, Maximiliano (2019)

Power quality disturbance classification via deep convolutional auto-encoders and stacked LSTM recurrent neural networks

Rodriguez, Miguel Angel; Sotomonte, John Felipe; Cifuentes, Jenny; Bueno-Lopez, Maximiliano (2020)

Classification of multiple and single power quality disturbances using a decision tree-based approach

Barbosa, Bruno Henrique Groenner; Ferreira, Danton Diego (Springer, 2017)

Electrical modelling and power quality analysis of three-phase induction furnace

Universidade Estadual de Campinas (UNICAMP); Universidade Estadual Paulista (Unesp) (2014-01-01)

The induction furnaces are loads having high power and nonlinear characteristic. The power consumption depends on the stage of melting metal in its interior and can cause serious problems on the electric power distribution ...

Detection and Classification of Voltage Disturbances in Electrical Power Systems Using a Modified Euclidean ARTMAP Neural Network with Continuous Training

Universidade Estadual Paulista (Unesp); Inst Fed Educ Ciencia & Tecnol Sao Paulo (Taylor & Francis Inc, 2015-11-26)

This article presents a method to detect and classify voltage disturbances in electric power distribution systems using a modified Euclidean ARTMAP neural network with continuous training. This decision-making tool accelerates ...

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Desenvolvimento de uma metodologia para identificar e quantificar distúrbios da qualidade da energia elétrica

Reference generator for voltage controlled power conditioners

Classification of Power Quality Disturbances using Hilbert Huang Transform and a Multilayer Perceptron Neural Network Model

Power quality disturbance classification via deep convolutional auto-encoders and stacked LSTM recurrent neural networks

Classification of multiple and single power quality disturbances using a decision tree-based approach

Electrical modelling and power quality analysis of three-phase induction furnace

Detection and Classification of Voltage Disturbances in Electrical Power Systems Using a Modified Euclidean ARTMAP Neural Network with Continuous Training

Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network

Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network

A Classification Method for Power-Quality Disturbances Using Hilbert–Huang Transform and LSTM Recurrent Neural Networks

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Filtros

Desenvolvimento de uma metodologia para identificar e quantificar distúrbios da qualidade da energia elétrica

Reference generator for voltage controlled power conditioners

Classification of Power Quality Disturbances using Hilbert Huang Transform and a Multilayer Perceptron Neural Network Model

Power quality disturbance classification via deep convolutional auto-encoders and stacked LSTM recurrent neural networks

Classification of multiple and single power quality disturbances using a decision tree-based approach

Electrical modelling and power quality analysis of three-phase induction furnace

Detection and Classification of Voltage Disturbances in Electrical Power Systems Using a Modified Euclidean ARTMAP Neural Network with Continuous Training

Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network

Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network

A Classification Method for Power-Quality Disturbances Using Hilbert–Huang Transform and LSTM Recurrent Neural Networks