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

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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

Authors

Tacjana Niksa-Rynkiewicz

Gdańsk University of Technology, Faculty of Ocean Engineering and Ship Technology, Gdańsk, Poland

Piotr Stomma

University of Białystok, Institute of Computer Science, Białystok, Poland

Anna Witkowska

Gdańsk University of Technology, Faculty of Electrical and Control Engineering, Gdańsk, Poland

Danuta Rutkowska

University of Social Sciences, Information Technology Institute, Łódź, Poland

Adam Słowik

Koszalin University of Technology, Department of Electronics and Computer Science, Koszalin, Poland

Krzysztof Cpałka

krzysztof.cpalka@pcz.pl

Częstochowa University of Technology, Department of Intelligent Computer Systems, Częstochowa, Poland

Joanna Jaworek-Korjakowska

AGH University, Department of Automatic Control and Robotics, Center of Excellence in Artificial Intelligence, Kraków, Poland

Piotr Kolendo

Institute of Power Engineering, Department of Power Automation, Gdańsk, Poland

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,

Short-Term Wind Power Prediction,

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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