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An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks Cover

An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks

Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 3 (June 2023)
By: Tacjana Niksa-Rynkiewicz,  Piotr Stomma,  Anna Witkowska,  Danuta Rutkowska,  Adam Słowik,  Krzysztof Cpałka,  Joanna Jaworek-Korjakowska and  Piotr Kolendo  
Open Access
|Jun 2023

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DOI: https://doi.org/10.2478/jaiscr-2023-0015
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Language: English
Page range: 197 - 210
Submitted on: May 26, 2023
Accepted on: May 27, 2023
Published on: Jun 23, 2023
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Renewable Energy,
Wind Energy,
Wind Power,
Wind Turbine,
Short-Term Wind Power Prediction,
Deep Learning,
Convolutional Neural Networks,
Gated Recurrent Unit,
Hierarchical Multilayer Perceptron,
Deep Neural Networks
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2023 Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, Danuta Rutkowska, Adam Słowik, Krzysztof Cpałka, Joanna Jaworek-Korjakowska, Piotr Kolendo, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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