Novembro 2019 vol. 6 num. 3 - V Simpósio Internacional de Inovação e Tecnologia

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PREVISÃO DA VELOCIDADE DO VENTO A CURTO PRAZO EM REGIÃO TROPICAL UTILIZANDO WAVELETS E INTELIGÊNCIA ARTIFICIAL

SHORT-TERM WIND SPEED FORECASTING IN TROPICAL REGION USING WAVELETS AND ARTIFICIAL INTELLIGENCE

Zucatelli, Pedro Junior ; Nascimento, Erick Giovani Sperandio ; Santos, Alex Álisson Bandeira ; Moreira, Davidson Martins ; , ;

Article:

Neste trabalho, é apresentado a previsão da velocidade do vento a curto prazo na região tropical de Mucuri, Bahia, Brasil, aplicando algoritmo de aprendizado de máquina supervisionado por meio da Rede Neural Multilayer Perceptron, Rede Neural Recorrente e Decomposição Wavelet, isto para a série temporal horária representativa deste local. Para treinar a Rede Neural Artificial (RNA) e validar a técnica, dados anemométricos de um mês foram coletados por uma torre anemométrica com altura de 100 m. Diferentes famílias de Wavelets e diferentes configurações de RNA foram aplicadas para este local e altura. Com base nos resultados alcançados, pode-se concluir que o método proposto (RNN + Meyer Wavelets) apresentou os melhores resultados no horizonte de previsão de curto prazo, isto é, 12 h à frente.

Article:

In this paper, the short-term wind speed forecasting in the tropical region of Mucuri, Bahia, Brazil, applying supervised machine learning algorithm by Multilayer Perceptron Neural Network, Recurrent Neural Network technique and Wavelet Packet Decomposition to the hourly time series representative of the site is presented. To train the Artificial Neural Network (ANN) and validate the technique, data for one month were collected by an anemometric tower at height of 100.0 m. Different Wavelet families and different ANN configurations were applied for this site and height. Based on the outcomes of the study cases and results, it can be concluded that the proposed method (RNN + Meyer Wavelets) performed the best results in short-term forecasting horizon (12 h ahead).

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Palavras-chave: Ciência Atmosférica; Ciência Computacional; Energia,

Palavras-chave: Atmospheric Science; Computer Science; Energy,

DOI: 10.5151/siintec2019-46

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Como citar:

Zucatelli, Pedro Junior; Nascimento, Erick Giovani Sperandio; Santos, Alex Álisson Bandeira; Moreira, Davidson Martins; , ; "PREVISÃO DA VELOCIDADE DO VENTO A CURTO PRAZO EM REGIÃO TROPICAL UTILIZANDO WAVELETS E INTELIGÊNCIA ARTIFICIAL", p. 365-372 . In: Anais do V Simpósio Internacional de Inovação e Tecnologia. São Paulo: Blucher, 2019.
ISSN 2357-7592, DOI 10.5151/siintec2019-46

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