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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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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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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Wind power prediction for onshore wind farms using neural networks

Renewable Energy and Power Quality Journal ◽

10.24084/repqj13.319 ◽

2015 ◽

pp. 333-338

Author(s):

Bogusław Świątek ◽

Mateusz Dutka

Keyword(s):

Neural Networks ◽

Power Prediction ◽

Onshore Wind ◽

Wind Power Prediction

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Wind power prediction using recurrent multilayer perceptron neural networks

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) ◽

10.1109/pes.2003.1270992 ◽

2004 ◽

Author(s):

S. Li

Keyword(s):

Neural Networks ◽

Multilayer Perceptron ◽

Power Prediction ◽

Wind Power Prediction ◽

Recurrent Multilayer Perceptron

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Research on Application of Neural Networks to Wind Power Prediction

Journal of Physics Conference Series ◽

10.1088/1742-6596/1533/2/022005 ◽

2020 ◽

Vol 1533 ◽

pp. 022005

Author(s):

YuanYi Chen

Keyword(s):

Neural Networks ◽

Power Prediction ◽

Wind Power Prediction ◽

Research On Application

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Short-Term Wind Power Prediction Based on Wavelet Transform and Convolutional Neural Networks

2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) ◽

10.1109/icpsasia48933.2020.9208382 ◽

2020 ◽

Author(s):

Peng Xiaosheng ◽

Cheng Kai ◽

Wang Bo ◽

Che Jianfeng ◽

Xu Qiyou ◽

...

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Convolutional Neural Networks ◽

Power Prediction ◽

Wind Power Prediction

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