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Energies
Volume 16
Issue 8
10.3390/en16083441
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Perspective

Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives

by
Dorian Skrobek
1,*,
Jaroslaw Krzywanski
1,*,
Marcin Sosnowski
1,
Ghulam Moeen Uddin
2,
Waqar Muhammad Ashraf
3,
Karolina Grabowska
1,
Anna Zylka
1,
Anna Kulakowska
1 and
Wojciech Nowak
4
1
Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, Armii Krajowej 13/15, 42-200 Czestochowa, Poland
2
Department of Mechanical Engineering, University of Engineering and Technology, Lahore, Lahore 54890, Punjab, Pakistan
3
Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK
4
Faculty of Energy and Fuels, AGH University of Science and Technology, A. Mickiewicza 30, 30-059 Cracow, Poland
*
Authors to whom correspondence should be addressed.
Energies 2023, 16(8), 3441; https://doi.org/10.3390/en16083441
Submission received: 21 February 2023 / Revised: 31 March 2023 / Accepted: 12 April 2023 / Published: 14 April 2023
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Abstract

In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science. Man needs intelligent machines to create and discover new relationships in the world, so AI is beginning to reach various areas of science, such as medicine, economics, management, and the power industry. Artificial intelligence is one of the most exciting directions in the development of computer science, which absorbs a considerable amount of human enthusiasm and the latest achievements in computer technology. This article was dedicated to the practical use of artificial neural networks. The article discusses the development of neural networks in the years 1940–2022, presenting the most important publications from these years and discussing the latest achievements in the use of artificial intelligence. One of the chapters focuses on the use of artificial intelligence in energy processes and systems. The article also discusses the possible directions for the future development of neural networks.
Keywords: artificial intelligence; neural networks; machine learning; deep learning; energy processes and systems artificial intelligence; neural networks; machine learning; deep learning; energy processes and systems

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MDPI and ACS Style

Skrobek, D.; Krzywanski, J.; Sosnowski, M.; Uddin, G.M.; Ashraf, W.M.; Grabowska, K.; Zylka, A.; Kulakowska, A.; Nowak, W. Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives. Energies 2023, 16, 3441. https://doi.org/10.3390/en16083441

AMA Style

Skrobek D, Krzywanski J, Sosnowski M, Uddin GM, Ashraf WM, Grabowska K, Zylka A, Kulakowska A, Nowak W. Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives. Energies. 2023; 16(8):3441. https://doi.org/10.3390/en16083441

Chicago/Turabian Style

Skrobek, Dorian, Jaroslaw Krzywanski, Marcin Sosnowski, Ghulam Moeen Uddin, Waqar Muhammad Ashraf, Karolina Grabowska, Anna Zylka, Anna Kulakowska, and Wojciech Nowak. 2023. "Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives" Energies 16, no. 8: 3441. https://doi.org/10.3390/en16083441

APA Style

Skrobek, D., Krzywanski, J., Sosnowski, M., Uddin, G. M., Ashraf, W. M., Grabowska, K., Zylka, A., Kulakowska, A., & Nowak, W. (2023). Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives. Energies, 16(8), 3441. https://doi.org/10.3390/en16083441

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