Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection

Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection

With the increasing pollution and exhaustion of traditional energy resources, renewable energies are gradually becoming the topic of worldwide interest, especially wind energy. Due to its fluctuation, an accurate forecast of wind speed will contribute to the stability and reliability of the power sy...

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Bibliographic Details
Main Authors: Nguyen Thi Hoai Thu, Pham Nang Van, Nguyen Vu Nhat Nam, Pham Hai Minh, Phan Quoc Bao
Format: Article
Language:English
Published: Tamkang University Press 2023-02-01
Series:Journal of Applied Science and Engineering
Subjects:
wind speed forecasting
hybrid model
convolutional neural network - long-short term memory
feature selection
Online Access:http://jase.tku.edu.tw/articles/jase-202308-26-8-0001

Internet

http://jase.tku.edu.tw/articles/jase-202308-26-8-0001

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