Wind speed prediction using multidimensional convolutional neural networks

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Energy Conversion and Management ◽

10.1016/j.enconman.2021.113917 ◽

2021 ◽

Vol 233 ◽

pp. 113917

Author(s):

Ming-De Liu ◽

Lin Ding ◽

Yu-Long Bai

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Recurrent Neural Networks ◽

Wind Speed Prediction ◽

Model Based ◽

Mode Decomposition ◽

Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals

Renewable Energy in the Service of Mankind Vol I ◽

10.1007/978-3-319-17777-9_85 ◽

2015 ◽

pp. 951-959

Author(s):

D. Zafirakis ◽

K. Moustris ◽

Ch. Maragkos ◽

M. Stathopoulos ◽

G. Tzanes

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Management Strategies ◽

Demand Side Management ◽

Demand Side ◽

Wind Speed Prediction ◽

Speed Prediction ◽

Super-short Term Wind Speed Prediction based on Artificial Neural Networks for Wind Turbine Control Applications

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2018.8591623 ◽

2018 ◽

Cited By ~ 1

Author(s):

Julio Luna ◽

Sebastian Gros ◽

Jens Geisler ◽

Ole Falkenberg ◽

Rafal Noga ◽

...

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Wind Turbine ◽

Short Term ◽

Control Applications ◽

Wind Speed Prediction ◽

Wind Turbine Control ◽

Speed Prediction ◽

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

Renewable Energy ◽

10.1016/j.renene.2012.06.012 ◽

2012 ◽

Vol 48 ◽

pp. 545-556 ◽

Cited By ~ 164

Author(s):

Hui Liu ◽

Chao Chen ◽

Hong-qi Tian ◽

Yan-fei Li

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Wind Speed Prediction ◽

Mode Decomposition ◽

Speed Prediction ◽

13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 - Advances in Intelligent Systems and Computing ◽

Wind Speed Prediction of Four Regions in Northern Cyprus Prediction Using ARIMA and Artificial Neural Networks Models: A Comparison Study

10.1007/978-3-030-04164-9_32 ◽

2018 ◽

pp. 230-238

Author(s):

Youssef Kassem ◽

Hüseyin Gökçekuş ◽

Hüseyin Çamur

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Comparison Study ◽

Wind Speed Prediction ◽

Northern Cyprus ◽

Speed Prediction ◽

Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks

Energy Conversion and Management ◽

10.1016/j.enconman.2019.02.045 ◽

2019 ◽

Vol 186 ◽

pp. 306-322 ◽

Cited By ~ 21

Author(s):

Fei Li ◽

Guorui Ren ◽

Jay Lee

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Turbulence Intensity ◽

Deep Neural Networks ◽

Wind Speed Prediction ◽

Innovative Hybrid Modeling of Wind Speed Prediction Involving Time-Series Models and Artificial Neural Networks

Atmosphere ◽

10.3390/atmos9020077 ◽

2018 ◽

Vol 9 (2) ◽

pp. 77 ◽

Cited By ~ 1

Author(s):

Henrique do Nascimento Camelo ◽

Paulo Sérgio Lucio ◽

João Verçosa Leal Junior ◽

Daniel von Glehn dos Santos ◽

Paulo Cesar Marques de Carvalho

Keyword(s):

Neural Networks ◽

Time Series ◽

Wind Speed ◽

Hybrid Modeling ◽

Time Series Models ◽

Wind Speed Prediction ◽

Speed Prediction ◽

Transfer learning for short-term wind speed prediction with deep neural networks

Renewable Energy ◽

10.1016/j.renene.2015.06.034 ◽

2016 ◽

Vol 85 ◽

pp. 83-95 ◽

Cited By ~ 167

Author(s):

Qinghua Hu ◽

Rujia Zhang ◽

Yucan Zhou

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Transfer Learning ◽

Deep Neural Networks ◽

Short Term ◽

Wind Speed Prediction ◽

2013 8th International Conference on Electrical and Electronics Engineering (ELECO) ◽

Performance analysis of artificial and wavelet neural networks for short term wind speed prediction

10.1109/eleco.2013.6713830 ◽

2013 ◽

Cited By ~ 1

Author(s):

Serkan Senkal ◽

Okan Ozgonenel

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Performance Analysis ◽

Wavelet Neural Networks ◽

Short Term ◽

Wind Speed Prediction ◽

2009 Ninth International Conference on Intelligent Systems Design and Applications ◽

Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction

10.1109/isda.2009.30 ◽

2009 ◽

Cited By ~ 9

Author(s):

C. Hervás-Martínez ◽

P.A. Gutiérrez ◽

J.C. Fernández ◽

S. Salcedo-Sanz ◽

A. Portilla-Figueras ◽

...

Keyword(s):

Neural Networks ◽

Wind Speed ◽

Basis Function ◽

Evolutionary Programming ◽

Hyperbolic Tangent ◽

Short Term ◽

Wind Speed Prediction ◽