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 ◽

Author(s):

Ping Jiang ◽

Zhenkun Liu ◽

Xinsong Niu ◽

Lifang Zhang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Deep Learning ◽

Statistical Method ◽

Learning Methods ◽

Wind Speed Forecasting ◽

Forecasting System ◽

Combined Forecasting

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Multi-layer cooperative combined forecasting system for short-term wind speed forecasting

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2020.100946 ◽

2021 ◽

Vol 43 ◽

pp. 100946

Author(s):

Jianzhou Wang ◽

Qiwei Li ◽

Bo Zeng

Keyword(s):

Wind Speed Forecasting ◽

Forecasting System ◽

Combined Forecasting

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Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks

Renewable Energy ◽

10.1016/j.renene.2008.03.014 ◽

2009 ◽

Vol 34 (1) ◽

pp. 274-278 ◽

Author(s):

Erasmo Cadenas ◽

Wilfrido Rivera

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Speed Forecasting ◽

Artificial Neural

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Short-term wind speed forecasting using artificial neural networks for Tehran, Iran

International Journal of Energy and Environmental Engineering ◽

10.1007/s40095-016-0220-6 ◽

2016 ◽

Vol 7 (4) ◽

pp. 377-390 ◽

Author(s):

Farivar Fazelpour ◽

Negar Tarashkar ◽

Marc A. Rosen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Speed Forecasting ◽

Artificial Neural

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Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting

Energy Conversion and Management ◽

10.1016/j.enconman.2021.114136 ◽

2021 ◽

Vol 238 ◽

pp. 114136

Author(s):

Zhuoyi Liu ◽

Ryoichi Hara ◽

Hiroyuki Kita

Keyword(s):

Neural Network ◽

Deep Learning ◽

Wind Speed Forecasting ◽

Hybrid Forecasting ◽

Forecasting System ◽

Deep Learning Neural Network

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Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting

2015 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2015.7280687 ◽

2015 ◽

Author(s):

Ronaldo R. B. de Aquino ◽

Ramon B. Souza ◽

Otoni Nobrega Neto ◽

Milde M. S. Lira ◽

Manoel A. Carvalho ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fuzzy Systems ◽

Wind Speed Forecasting ◽

Echo State Networks ◽

Systems Models ◽

Artificial Neural

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Short-Term Wind Speed Forecasting for Power Generation in Hamirpur, Himachal Pradesh, India, Using Artificial Neural Networks

Advances in Intelligent Systems and Computing - Applications of Artificial Intelligence Techniques in Engineering ◽

10.1007/978-981-13-1822-1_24 ◽

2018 ◽

pp. 263-271 ◽

Author(s):

Amit Kumar Yadav ◽

Hasmat Malik

Keyword(s):

Neural Networks ◽

Power Generation ◽

Artificial Neural Networks ◽

Himachal Pradesh ◽

Wind Speed Forecasting ◽

Artificial Neural

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A novel hybrid forecasting system based on data augmentation and deep learning neural network for short-term wind speed forecasting

Journal of Renewable and Sustainable Energy ◽

10.1063/5.0062790 ◽

2021 ◽

Author(s):

Nan Zhang ◽

Xiaoming Xue ◽

Wei Jiang ◽

Liping Shi ◽

Chen Feng ◽

...

Keyword(s):

Neural Network ◽

Deep Learning ◽

Data Augmentation ◽

Wind Speed Forecasting ◽

Hybrid Forecasting ◽

Forecasting System ◽

Deep Learning Neural Network

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Comparative Study of Short-Term Wind Speed Forecasting Techniques Using Artificial Neural Networks

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) ◽

10.1109/icctct.2018.8550849 ◽

2018 ◽

Author(s):

Rohitha. B. Kurdikeri ◽

A. B. Raju

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Study ◽

Wind Speed Forecasting ◽

Artificial Neural ◽

Forecasting Techniques

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Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks

Applied Energy ◽

10.1016/j.apenergy.2021.116842 ◽

2021 ◽

Vol 292 ◽

pp. 116842

Author(s):

Danxiang Wei ◽

Jianzhou Wang ◽

Xinsong Niu ◽

Zhiwu Li

Keyword(s):

Neural Networks ◽

Spiking Neural Networks ◽

Wind Speed Forecasting ◽

Forecasting System ◽

Gated Recurrent Units

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New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

Renewable Energy ◽

10.1016/j.renene.2015.06.004 ◽

2015 ◽

Vol 83 ◽

pp. 1066-1075 ◽

Author(s):

Hui Liu ◽

Hongqi Tian ◽

Xifeng Liang ◽

Yanfei Li

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Evolutionary Algorithm ◽

Empirical Model ◽

Model Decomposition ◽

Wind Speed Forecasting ◽

Artificial Neural

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