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 ◽

Cited By ~ 1

Author(s):

Junaid Arshad ◽

Aneela Zameer ◽

Asifulla Khan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Genetic Programming ◽

Wind Power ◽

Power Prediction ◽

Wind Power Prediction ◽

Artificial Neural

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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 ◽

Cited By ~ 1

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Wind Power ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Short Term ◽

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 ◽

Cited By ~ 4

Author(s):

E. İzgi ◽

A. Öztopal ◽

B. Yerli ◽

M. K. Kaymak ◽

A. D. Şahin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Power ◽

Power Prediction ◽

Short Term ◽

Time Horizons ◽

Wind Power Prediction ◽

Artificial Neural

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Artificial Neural Networks based wake model for power prediction of wind farm

Renewable Energy ◽

10.1016/j.renene.2021.03.030 ◽

2021 ◽

Vol 172 ◽

pp. 618-631

Author(s):

Zilong Ti ◽

Xiao Wei Deng ◽

Mingming Zhang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Farm ◽

Power Prediction ◽

Artificial Neural ◽

Wake Model

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Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets

International Journal of Pharmaceutics ◽

10.1016/j.ijpharm.2018.09.026 ◽

2018 ◽

Vol 551 (1-2) ◽

pp. 166-176 ◽

Cited By ~ 4

Author(s):

Panagiotis Barmpalexis ◽

Anna Karagianni ◽

Grigorios Karasavvaides ◽

Kyriakos Kachrimanis

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Artificial Neural Networks ◽

Linear Regression ◽

Genetic Programming ◽

Particle Swarm ◽

Swarm Optimization ◽

Multi Linear Regression ◽

Artificial Neural

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Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming

Inspired by Nature - Emergence, Complexity and Computation ◽

10.1007/978-3-319-67997-6_10 ◽

2017 ◽

pp. 213-233

Author(s):

Gul Muhammad Khan ◽

Arbab Masood Ahmad

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Genetic Programming ◽

Cartesian Genetic Programming ◽

Artificial Neural

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Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

Journal of Electrical Engineering and Technology ◽

10.5370/jeet.2015.10.1.041 ◽

2015 ◽

Vol 10 (1) ◽

pp. 41-46 ◽

Cited By ~ 32

Author(s):

Dai-Zheng Huang ◽

Ren-Xi Gong ◽

Shu Gong

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Wind Power ◽

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 ◽

Wind Power ◽

Convolutional Neural Networks ◽

Power Prediction ◽

Short Term ◽

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 ◽

Wind Power ◽

Loss Function ◽

Power Prediction ◽

Wind Power Prediction

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Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data

Artificial Neural Nets and Genetic Algorithms ◽

10.1007/978-3-7091-6492-1_87 ◽

1998 ◽

pp. 397-400 ◽

Cited By ~ 4

Author(s):

S.-H. Chen ◽

C.-C. Ni

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Genetic Programming ◽

Comparative Study ◽

Financial Data ◽

Artificial Neural

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Wind Power Multi-step Predictions in Northeastern Brazilian Regions Using Artificial Neural Networks

Hybrid Intelligent Systems - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-73050-5_63 ◽

2021 ◽

pp. 649-658

Author(s):

Yann Fabricio Cardoso de Figueiredo ◽

Lídio Mauro Lima de Campos

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Power ◽

Artificial Neural

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