Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70139-4_56 ◽

2017 ◽

pp. 556-563 ◽

Author(s):

Wei Lee Woon ◽

Stefan Oehmcke ◽

Oliver Kramer

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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Short-Term Wind Power Prediction Based on Principal Component Analysis and Elman Artificial Neural Networks

2017 4th International Conference on Information Science and Control Engineering (ICISCE) ◽

10.1109/icisce.2017.146 ◽

2017 ◽

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Wind Power Prediction ◽

Artificial Neural

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Short-term Wind Power Prediction Based on Wavelet Feature Arrangement and Convolutional Neural Networks Deep Learning

IEEE Transactions on Industry Applications ◽

10.1109/tia.2021.3106887 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaosheng Peng ◽

Yinhuan Li ◽

Lei Dong ◽

Kai Cheng ◽

Hongyu Wang ◽

...

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Convolutional Neural Networks ◽

Power Prediction ◽

Wind Power Prediction

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Integrating a softened multi-interval loss function into neural networks for wind power prediction

Applied Soft Computing ◽

10.1016/j.asoc.2021.108009 ◽

2021 ◽

pp. 108009

Author(s):

Jianming Hu ◽

Weigang Zhao ◽

Jingwei Tang ◽

Qingxi Luo

Keyword(s):

Neural Networks ◽

Loss Function ◽

Power Prediction ◽

Wind Power Prediction

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Spatio-temporal propagation of wind power prediction errors

Wind Energy ◽

10.1002/we.1527 ◽

2012 ◽

Vol 16 (7) ◽

pp. 999-1012 ◽

Author(s):

Robin Girard ◽

Denis Allard

Keyword(s):

Prediction Errors ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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Very short-term spatio-temporal wind power prediction using a censored Gaussian field

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-017-1435-7 ◽

2017 ◽

Vol 32 (4) ◽

pp. 931-948 ◽

Author(s):

Anastassia Baxevani ◽

Amanda Lenzi

Keyword(s):

Gaussian Field ◽

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal

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Hybrid WT-PSO based Neural Networks for Single Step-Ahead Wind Power Prediction for Ontario Electricity Market

International Journal on Electrical Engineering and Informatics ◽

10.15676/ijeei.2015.7.2.6 ◽

2015 ◽

Vol 7 (2) ◽

pp. 237-249 ◽

Author(s):

Sumit Saroha ◽

◽

Sanjeev Kumar Aggarwal ◽

Keyword(s):

Neural Networks ◽

Electricity Market ◽

Single Step ◽

Power Prediction ◽

Wind Power Prediction

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Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2020.105835 ◽

2020 ◽

Vol 118 ◽

pp. 105835 ◽

Author(s):

Zi Lin ◽

Xiaolei Liu ◽

Maurizio Collu

Keyword(s):

Neural Networks ◽

Deep Learning ◽

High Frequency ◽

Power Prediction ◽

Wind Power Prediction ◽

Isolation Forest

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Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN)

2014 12th International Conference on Frontiers of Information Technology ◽

10.1109/fit.2014.55 ◽

2014 ◽

Author(s):

Junaid Arshad ◽

Aneela Zameer ◽

Asifulla Khan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Genetic Programming ◽

Power Prediction ◽

Wind Power Prediction ◽

Artificial Neural

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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2011.561274 ◽

2014 ◽

Vol 36 (16) ◽

pp. 1800-1809 ◽

Author(s):

E. İzgi ◽

A. Öztopal ◽

B. Yerli ◽

M. K. Kaymak ◽

A. D. Şahin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Prediction ◽

Time Horizons ◽

Wind Power Prediction ◽

Artificial Neural

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Analysis and Application of the Spatio-Temporal Feature in Wind Power Prediction

Computer Systems Science and Engineering ◽

10.32604/csse.2018.33.267 ◽

2018 ◽

Vol 33 (4) ◽

pp. 267-274

Author(s):

Ruiguo Yu ◽

Zhiqiang Liu ◽

Jianrong Wang ◽

Mankun Zhao ◽

Jie Gao ◽

...

Keyword(s):

Power Prediction ◽

Wind Power Prediction ◽

Spatio Temporal ◽

Temporal Feature

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