A comparison of deep learning methods for wind speed forecasting

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) ◽

10.1109/ropec50909.2020.9258673 ◽

2020 ◽

Author(s):

Rafael Pena-Gallardo ◽

Aurelio Medina-Rios

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Learning Methods ◽

Wind Speed Forecasting

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A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

Energy ◽

10.1016/j.energy.2020.119361 ◽

2020 ◽

pp. 119361 ◽

Cited By ~ 1

Author(s):

Ping Jiang ◽

Zhenkun Liu ◽

Xinsong Niu ◽

Lifang Zhang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Deep Learning ◽

Wind Speed ◽

Statistical Method ◽

Short Term ◽

Learning Methods ◽

Wind Speed Forecasting ◽

Forecasting System ◽

Combined Forecasting

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A novel loss function of deep learning in wind speed forecasting

Energy ◽

10.1016/j.energy.2021.121808 ◽

2021 ◽

pp. 121808

Author(s):

Xi Chen ◽

Ruyi Yu ◽

Sajid Ullah ◽

Dianming Wu ◽

Zhiqiang Li ◽

...

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Loss Function ◽

Wind Speed Forecasting

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Multi-Step Wind Speed Forecasting Based on Hybrid Deep Learning Model and Trailing Moving Average Denoising Technique

10.1109/icrami52622.2021.9585947 ◽

2021 ◽

Author(s):

Zouaidia Khouloud ◽

Rais Med Saber

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Moving Average ◽

Learning Model ◽

Wind Speed Forecasting ◽

Deep Learning Model

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An Adaptive Hybrid System Using Deep Learning for Wind Speed Forecasting

Information Sciences ◽

10.1016/j.ins.2021.09.054 ◽

2021 ◽

Author(s):

Paulo S. G. de Mattos Neto ◽

Joao F. L. de Oliveira ◽

Domingos S. de O. Santos Junior ◽

Hugo Valadares Siqueira ◽

Francisco Madeiro

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Hybrid System ◽

Wind Speed Forecasting

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Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

Applied Energy ◽

10.1016/j.apenergy.2019.114259 ◽

2020 ◽

Vol 260 ◽

pp. 114259 ◽

Cited By ~ 11

Author(s):

Yongqi Liu ◽

Hui Qin ◽

Zhendong Zhang ◽

Shaoqian Pei ◽

Zhiqiang Jiang ◽

...

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Learning Model ◽

Variational Bayesian ◽

Wind Speed Forecasting ◽

Deep Learning Model

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Comparison of Three Different Learning Methods of Multilayer Perceptron Neural Network for Wind Speed Forecasting

GAZI UNIVERSITY JOURNAL OF SCIENCE ◽

10.35378/gujs.764533 ◽

2020 ◽

Author(s):

Mehmet BULUT ◽

Hakan TORA

Keyword(s):

Neural Network ◽

Wind Speed ◽

Multilayer Perceptron ◽

Learning Methods ◽

Wind Speed Forecasting

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Deep Learning based Wind Speed Forecasting-A Review

2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence) ◽

10.1109/confluence.2019.8776923 ◽

2019 ◽

Cited By ~ 5

Author(s):

Vikram Bali ◽

Ajay Kumar ◽

Satyam Gangwar

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Wind Speed Forecasting

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Stacked LSTM Recurrent Neural Network: A Deep Learning Approach for Short Term Wind Speed Forecasting

2021 International Conference on Intelligent Technologies (CONIT) ◽

10.1109/conit51480.2021.9498314 ◽

2021 ◽

Author(s):

Chervu Sowmya ◽

Anu G Kumar ◽

Sachin S Kumar

Keyword(s):

Neural Network ◽

Deep Learning ◽

Wind Speed ◽

Recurrent Neural Network ◽

Learning Approach ◽

Short Term ◽

Wind Speed Forecasting

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Application of stacked and bidirectional long short-term memory deep learning models for wind speed forecasting at an offshore site

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.1925379 ◽

2021 ◽

pp. 1-16

Author(s):

Bharat Kumar Saxena ◽

Sanjeev Mishra ◽

Komaragiri Venkata Subba Rao

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Short Term Memory ◽

Learning Models ◽

Short Term ◽

Term Memory ◽

Wind Speed Forecasting ◽

Long Short Term Memory

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Offshore wind speed forecasting at different heights by using ensemble empirical mode decomposition and deep learning models

Applied Ocean Research ◽

10.1016/j.apor.2021.102937 ◽

2021 ◽

Vol 117 ◽

pp. 102937

Author(s):

Bharat Kumar Saxena ◽

Sanjeev Mishra ◽

Komaragiri Venkata Subba Rao

Keyword(s):

Deep Learning ◽

Wind Speed ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Offshore Wind ◽

Learning Models ◽

Wind Speed Forecasting ◽

Mode Decomposition

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