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Artificial Intelligence Techniques Applied on Renewable Energy Systems: A Review

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Proceedings of International Conference on Computing and Communication Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 394))

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Abstract

Renewable energy is gaining traction as an efficient alternative source of energy; it is considerably safer and healthier than traditional energy, and it has greatly contributed to this area. However, there are still several areas that need improvement in order to meet this rapidly expanding technology. AI technology can evaluate the previous, improve the current, and predict what will happen. As a result, AI will fix the majority of these issues. AI is complicated, but it lowers error and aspires for better precision, making energies more intelligent. This paper presents an overview of commonly utilized artificial intelligence (AI) techniques in sustainable sources of energy applications. AI is applied in practically every form of energy for design, optimization, prediction, administration, transmission, and regulation (wind, solar, geothermal, hydro, ocean, bio, hydrogen, and hybrid). Throughout this aspect, the purpose of this study is to highlight the AI techniques utilized in the field of renewable energy.

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Author information

Authors and Affiliations

  1. Human Resources Department, University of Anbar, Anbar, Iraq

    Ali Azawii Abdul Lateef

  2. College of Islamic Science, University of Anbar, Anbar, Iraq

    Sameer I. Ali Al-Janabi

  3. Ministry of Education, Anbar Directorate, Planning Department, Anbar, Iraq

    Omar Azzawi Abdulteef

Authors
  1. Ali Azawii Abdul Lateef
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  2. Sameer I. Ali Al-Janabi
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  3. Omar Azzawi Abdulteef
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Corresponding author

Correspondence to Ali Azawii Abdul Lateef .

Editor information

Editors and Affiliations

  1. Manchester Metropolitan University, Manchester, UK

    Ali Kashif Bashir

  2. University of Calabria, Rende, Italy

    Giancarlo Fortino

  3. Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  4. Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

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Lateef, A.A.A., Ali Al-Janabi, S.I., Abdulteef, O.A. (2022). Artificial Intelligence Techniques Applied on Renewable Energy Systems: A Review. In: Bashir, A.K., Fortino, G., Khanna, A., Gupta, D. (eds) Proceedings of International Conference on Computing and Communication Networks. Lecture Notes in Networks and Systems, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-19-0604-6_25

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  • DOI: https://doi.org/10.1007/978-981-19-0604-6_25

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  • Print ISBN: 978-981-19-0603-9

  • Online ISBN: 978-981-19-0604-6

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