Výsledky vyhledávání - "Luiz Albino Teixeira Junior"

Akademický článek

Wavelet – SVR hybrid methodology for the projection of relative displacements in block I11 of the Itaipu hydroelectric plant dam

Autor: Tásia Hickmann, Liliana Madalena Graman, Eloy Kaviski, Luiz Albino Teixeira Junior, Samuel Bellido Rodrigues

Publikováno v: GEPROS: Gestão da Produção, Operações e Sistemas, Vol 11, Iss 2, Pp 103-120 (2016)

This article proposes a hybrid methodology for forecasting relative displacements in a dam block at the Itaipu hydroelectric plant, which integrates the following numerical methods: wavelet decomposition, support vector machine and linear forecast

Externí odkaz: https://doaj.org/article/bfdc608d080146e8b553ac07bf6c221e

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Akademický článek

MELHORIA NA PREVISÃO DA SÉRIE TEMPORAL DE INSTRUMENTOS DE MONITORAMENTO DE BARRAGEM VIA COMBINAÇÃO DE MÉTODOS

Autor: Emerson Lazzarotto, Liliana Madalena Gramani, Anselmo Chaves Neto, Luiz Albino Teixeira Junior, Edgar Manuel Carreno Franco

Publikováno v: Cadernos do IME: Série Estatística, Vol 38, Iss 0 (2015)

DOI: 10.12957/cadest.2015.18510ResumoBarragens de usinas hidrelétricas são avaliadas por inspeções visuais e por instrumentos de monitoramento. As leituras periódicas de um instrumento podem ser interpretadas como uma série temporal estocástic

Externí odkaz: https://doaj.org/article/ccebe4ddfe3441a781b90a3a872e8b89

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Wavelet – SVR hybrid methodology for the projection of relative displacements in block I11 of the Itaipu hydroelectric plant dam

Autor: Samuel Bellido Rodrigues, Tásia Hickmann, Eloy Kaviski, Luiz Albino Teixeira Junior, Liliana Madalena Gramani

Publikováno v: GEPROS: Gestão da Produção, Operações e Sistemas, Vol 11, Iss 2, Pp 103-120 (2016)

Este artigo propoe uma metodologia hibrida para a previsao das series temporais de deslocamentos relativos em um bloco da barragem da usina hidreletrica de Itaipu, que integra os seguintes metodos numericos: decomposicao wavelet , support vector Mach

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a881cb5b398e6a1f3b747c30e641bcb1
https://doi.org/10.15675/gepros.v11i2.1419

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PRINCIPAL COMPONENTS IN MULTIVARIATE CONTROL CHARTS APPLIED TO DATA INSTRUMENTATION OF DAMS

Autor: Emerson Lazzarotto, Liliana Madalena Gramani, Luiz Albino Teixeira Junior, Anselmo Chaves Neto

Publikováno v: Independent Journal of Management & Production, Vol 7, Iss 1, Pp 017-037 (2016)
Independent Journal of Management & Production; Vol. 7 No. 1 (2016): Independent Journal of Management & Production; 017-037
Independent Journal of Management & Production
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
Independent Journal of Management & Production; Vol 7, No 1 (2016): Independent Journal of Management & Production; 017-037

Hydroelectric plants are monitored by a high number of instruments that assess various quality characteristics of interest that have an inherent variability. The readings of these instruments generate time series of data on many occasions have correl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a2aa4bdfdd20fb7f645d672e1960c6
http://www.ijmp.jor.br/index.php/ijmp/article/view/369

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Hybrid wavelet model for time series prediction

Autor: Luiz Albino Teixeira Junior, Cassius Tadeu Scarpin, Eliete Nascimento Pereira

Publikováno v: Applied Mathematical Sciences. 9:7431-7438

To improve time series forecasts the wavelet decomposition has been applied. The combination of forecasting methods as the Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks have been used to achieve a higher quality time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ddd290944178902bcd537884b31f96b
https://doi.org/10.12988/ams.2015.510628

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Time series forecasting by using a neural arima model based on wavelet decomposition

Autor: Luiz Albino Teixeira Junior, Cassius Tadeu Scarpin, Eliete Nascimento Pereira

Publikováno v: Independent Journal of Management & Production; Vol 7, No 1 (2016): Independent Journal of Management & Production; 252-270
Independent Journal of Management & Production; Vol. 7 No. 1 (2016): Independent Journal of Management & Production; 252-270
Independent Journal of Management & Production
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
Independent Journal of Management & Production, Vol 7, Iss 1, Pp 252-270 (2016)

In the prediction of (stochastic) time series, it has been common to suppose that an individual predictive method – for instance, an Auto-Regressive Integrated Moving Average (ARIMA) model – produces residuals like a white noise process. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6211faacb061c08e011346fcdfc662b
http://www.ijmp.jor.br/index.php/ijmp/article/view/400

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Short-term solar radiation forecasting by using an iterative combination of wavelet artificial neural networks

Autor: Volmir Eugênio Wilhelm, Luiz Albino Teixeira Junior, Edgar Manuel Carreño Franco, Julio Cesar Royer

Publikováno v: Independent Journal of Management & Production; Vol 7, No 1 (2016): Independent Journal of Management & Production; 271-288
Independent Journal of Management & Production, Vol 7, Iss 1, Pp 271-288 (2016)
Independent Journal of Management & Production; Vol. 7 No. 1 (2016): Independent Journal of Management & Production; 271-288
Independent Journal of Management & Production
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P

The information provided by accurate forecasts of solar energy time series are considered essential for performing an appropriate prediction of the electrical power that will be available in an electric system, as pointed out in Zhou et al. (2011). H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a893113c0610abef8da33c569bbe08
http://www.ijmp.jor.br/index.php/ijmp/article/view/393

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MELHORIA NA PREVISÃO DA SÉRIE TEMPORAL DE INSTRUMENTOS DE MONITORAMENTO DE BARRAGEM VIA COMBINAÇÃO DE MÉTODOS

Autor: Luiz Albino Teixeira Junior, Liliana Madalena Gramani, Emerson Lazzarotto, Anselmo Chaves Neto, Edgar Manuel Carreño Franco

Publikováno v: Cadernos do IME: Série Estatística, Vol 38, Iss 0 (2015)
Cadernos do IME-Série Estatística; v. 38 (2015): Volume 38, Junho de 2015; 1
Cadernos do IME. Série Estatística
Universidade do Estado do Rio de Janeiro (UERJ)
instacron:UERJ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cfe5d943a54ded96b852e0b0c2a1504
http://www.e-publicacoes.uerj.br/index.php/cadest/article/view/18510

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COMBINAÇÃO SSA-WAVELET DE MÉTODOS PREDITIVOS COM AJUSTE NUMÉRICO MINIMAX, NA GERAÇÃO DE PREVISÕES E DE CENÁRIOS

Autor: LUIZ ALBINO TEIXEIRA JUNIOR

Publikováno v: Repositório Institucional da PUC-RIO (Projeto Maxwell)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO PROGRAMA DE EXCELENCIA ACADEMICA PROGRAMA DE DOUTORADO SANDUÍCHE NO

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5846d0dd8f12578b613890be049f8895
https://doi.org/10.17771/pucrio.acad.22892

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